As a Systematic Production Support Engineer, you will be responsible for building, developing, and maintaining a reliable, scalable, and integrated platform for trading strategy monitoring, reporting, and operations. You will work closely with portfolio managers and other internal customers to reduce operational risk through the implementation of monitoring, reporting, and trade workflow solutions, as well as automated systems and processes focused on trading and operations.

Key responsibilities include:

• Building, developing, and maintaining a reliable, scalable, and integrated platform for trading strategy monitoring, reporting, and operations
• Working with portfolio managers and other internal customers to reduce operational risk through the implementation of monitoring, reporting, and trade workflow solutions
• Implementing automated systems and processes focused on trading and operations
• Streamlining development and deployment processes

Technical qualifications include:

• 5+ years of development experience in Python
• Experience working in a Linux/Unix environment
• Experience working with PostgreSQL or other relational databases

Preferred skills and experience include:

• Understanding of NLP, supervised/non-supervised learning, and Generative AI models
• Experience operating and monitoring low-latency trading environments
• Familiarity with quantitative finance and electronic trading concepts
• Familiarity with financial data
• Broad understanding of equities, futures, FX, or other financial instruments
• Experience designing and developing distributed systems with a focus on backend development in C/C++, Java, Scala, Go, or C#
• Experience with Apache/Confluent Kafka
• Experience automating SDLC pipelines (e.g., Jenkins, TeamCity, or AWS CodePipeline)
• Experience with containerization and orchestration technologies
• Experience building and deploying systems that utilize services provided by AWS, GCP, or Azure
• Contributions to open-source projects

This is a unique opportunity to drive significant value creation for one of the world's leading investment managers.

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The ideal candidate should have a proven track record in developing and maintaining Java-based front-end applications in the finance sector. Exceptional team collaboration skills and the ability to work effectively with colleagues across global time zones are crucial.

Millennium strongly prioritizes our synergistic culture, which revolves around teamwork and low egos. You should possess the ability to work in a fast-paced environment both collaboratively and individually while managing multiple projects simultaneously.

The successful individual will have a strong sense of urgency, emotional intelligence, and prioritize a high-caliber end-user experience.

Qualifications:

• Bachelor’s degree in computer science or comparable
• 7+ years of professional experience with Core Java and Java Swing, electronic trading systems and/or trader workstations environment strongly preferred.
• 5+ years of experience working with HTML, JavaScript, CSS, and JQuery
• Deep understanding of multithreading and distributed systems within a high performance, latency-sensitive environment
• Strong knowledge of unit testing frameworks and continuous test-driven development practices
• Enterprise level experience with design patterns such as MVC, MV, MVP
• Enterprise level experience with RESTful web services
• Previous experience liaising with non-technology stakeholders, polished and proactive communication skills

Beneficial/Ideal Technology Experience:

• EXT-JS, AngularJS, AJAX, JSON experience is very beneficial
• Knowledge of equities, futures, options and other asset classes is preferred
• Enterprise level experience with OMS architecture and design is preferred
• Experience with messaging middleware, Solace preferred
• Experience with relational and NoSQL databases. MongoDB preferred
• Experience working with financial data, including reference data, market data, order/execution and positions data.
• Experience working with Cloud: AWS (preferred), GCP or Azure

Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future.

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As a Senior Backend Engineer, you will own major backend systems for frontier agentic data products, driving projects from early exploration through production deployment. You will build scalable services and pipelines that support agent workflows, architect modular, reusable backend systems, and operate in high-ambiguity environments.

Key responsibilities include:

• Designing and building scalable systems while partnering closely with research, product, operations, and other engineering teams
• Building scalable services and pipelines that support agent workflows
• Architecting modular, reusable backend systems that adapt to evolving product needs
• Operating in high-ambiguity environments and breaking down open-ended problems
• Partnering cross-functionally with product, research/ML, and infrastructure teams

Ideal experience includes 5+ years of full-time software engineering experience, strong backend engineering fundamentals, and experience building systems that scale.

Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors.

Additional benefits include comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.

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Our core work consists of creating custom AI applications that will impact millions of citizens, generating high-quality training data for custom LLMs, and upskilling and advisory services to spread the impact of AI.

You will serve as the lead technical strategist for public sector engagements, converting ambiguous mission requirements into robust architectural roadmaps and guiding onsite implementation.

Architect the fundamental frameworks for production-grade AI applications, setting the gold standard for how interactive UIs, backend systems, and AI models are integrated at scale to deliver reliable outcomes.

Guide the evolution of cloud infrastructure, ensuring security, global scalability, and long-term system integrity across all environments.

Direct the development of core platforms and shared services, ensuring they solve cross-cutting needs for diverse global client use cases.

Partner with cross-functional leadership to steer the technical roadmap, mentoring senior and junior staff and ensuring all products align with a cohesive, future-proof technical architecture.

Bridge the gap between the field and the core platform by turning real-world client lessons into the reusable patterns that power the entire engineering team.

Ideally, you'd have a Master's or PhD in Computer Science or equivalent deep industry experience in architecting complex, distributed systems.

10+ years of full-stack expertise across Python, Node.js, and React, with a proven track record of designing high-scale architectures on Kubernetes and global cloud infrastructures (AWS/Azure/GCP).

Expert ability to design and oversee production-grade ecosystems, ensuring world-class standards for system integrity, security, and long-term scalability.

Extensive experience deploying and troubleshooting sophisticated end-to-end solutions directly within complex, high-security client environments.

A self-driven leader capable of resolving extreme ambiguity, mentoring senior staff, and setting the technical vision for the organization.

A driver of asynchronous workflows and documentation-first cultures to streamline global engineering velocity and reduce friction.

Proficient in Arabic.

Nice to haves include past experience working at a startup as a CTO or founding engineer or in a forward deployed engineer / dedicated customer engineer role, experience working cross functionally with operations, and a proven track record of building LLM-driven solutions with the strategic foresight to anticipate landscape shifts and architect future-proof systems.

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This is a 0→1 build team. We’re looking for a sharp, product-minded Senior Engineer who thrives in ambiguity, moves quickly, and enjoys building new systems from scratch alongside customers and cross-functional partners. You’ll work closely with product, forward-deployed engineers, data scientists, and applied AI teams to turn real-world problems into scalable, production solutions.

If you like shipping fast, owning outcomes, and working across the stack,from polished frontends to distributed backends to LLM integrations,this role is for you.

Responsibilities

• Own major full-stack product areas, driving features from concept and design through production deployment
• Build intuitive, high-performance frontend experiences using React + TypeScript
• Develop reliable backend services in Python, working with distributed systems, data pipelines, and AI/ML infrastructure
• Integrate LLMs, vector databases, and agentic frameworks to power intelligent workflows and decision-making systems
• Ship quickly through tight experimentation loops while maintaining high quality and reliability
• Help define the technical direction and architecture of a brand-new team and product surface
• Adapt across the stack and learn new tools as needed to solve real problems end-to-end

Ideal Experience

• 5+ years of full-time software engineering experience
• 0-1 product build experience
• Familiarity with LLMs, embeddings, vector databases, or modern AI data products/tools
• Experience with distributed systems and cloud-based architectures
• Prior experience mentoring or leading team

What We Value

• Strong product intuition and customer empathy
• Bias toward action and rapid iteration
• Ownership mentality , you see problems through to outcomes
• Comfort collaborating across engineering, product, data science, and applied AI
• Excitement about building agentic systems that make AI genuinely useful in the real world

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At Scale AI, our mission is to accelerate the development of AI applications.

As a Forward Deployed Engineer, you'll be at the forefront of providing the critical data infrastructure that powers the most advanced AI models, directly influencing how humanity interacts with AI.

Responsibilities:

• Drive Impact: Directly contribute to the advancement of AI by delivering critical data solutions for leading AI innovators and government agencies.

• Customer Collaboration: Interact daily with our technical customers, understanding their unique challenges and translating them into impactful solutions.

• End-to-End Development: Design, build, and deploy features across the entire stack, from front-end interfaces to back-end systems and infrastructure.

• Rapid Experimentation: Deliver high-quality experiments quickly, iterating quickly to meet customer needs and drive innovation.

• Strategic Influence: Play a key role in shaping our engineering culture, values, and processes, contributing to the growth of our team and the evolution of our product.

• Diverse Projects: Engage in a dynamic mix of designing and deploying cutting-edge data solutions, collaborating with leading AI researchers, and directly influencing the product roadmap.

Requirements:

• At least 2 years of relevant experience is preferred

• Proven track record of shipping high-quality products and features at scale.

• Strong problem-solving skills and the ability to work independently or as part of a collaborative team.

• Desire to thrive in a fast-paced, dynamic environment.

• Ability to turn business and product ideas into engineering solutions.

• Strong coding abilities and the ability to effectively communicate complex technical concepts to both technical and non-technical audiences.

• Ability to adapt quickly to the ever-changing world of generative AI.

• Excited to join a dynamic, hybrid team in either San Francisco or New York City.

Benefits:

• Comprehensive health, dental and vision coverage

• Retirement benefits

• A learning and development stipend

• Generous PTO

• Commuter stipend

Salary Range:

$179,400-$224,250 USD

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You'll serve as a cross-organizational thought leader - setting standards for technical excellence, mentoring senior engineers, and ensuring our systems and models meet the demands of global-scale deployment. This is a rare opportunity to influence both foundational AI infrastructure and the enterprise AI applications built on top of it.

Responsibilities:

• Define and drive the technical strategy for Scale's AI/ML infrastructure and SGP platform, balancing short and long-term investments.
• Partner with senior engineering and product leadership to ensure scalable, secure, and performant enterprise AI systems.
• Lead architecture and design reviews across multiple teams, ensuring technical consistency and innovation.
• Serve as a trusted advisor and mentor to principal engineers and technical leads across the organization.
• Evaluate and integrate emerging technologies in AI, distributed systems, and data infrastructure to keep Scale at the frontier of innovation.
• Represent Scale externally in the AI community - through speaking engagements, partnerships, and thought leadership.
• Drive technical execution and accountability for critical cross-functional initiatives that advance Scale's enterprise AI capabilities.

Qualifications:

• 15+ years of experience as a technical software engineering leader.
• Proven record of technical leadership at AI-native companies, hyperscalers, or equivalent high-scale environments.
• Deep technical expertise in AI/ML infrastructure, knowledge of ML models/algorithm design/implementation and their application to real-world problems; experience with GenAI preferred.
• Demonstrated success in setting technical vision and leading cross-organizational initiatives with measurable business impact.
• Experience influencing and mentoring engineering teams in complex, matrixed environments.
• Ability to communicate and collaborate effectively to create a shared sense of vision or purpose cross-team and cross-functionality.
• Advanced degree in Computer Science, Engineering, or related field preferred but not required.

Culture & Impact:

At Scale, we believe that AI should amplify human potential - and our engineering culture reflects that belief. Our teams operate at the intersection of innovation, rigor, and impact, solving some of the hardest problems in AI infrastructure and deployment.

The Distinguished Engineer will play a key role in shaping how AI systems are built, deployed, and governed within enterprise environments. This role represents the highest bar of technical excellence at Scale - a trusted voice in setting direction, enabling innovation, and ensuring that our technology scales responsibly and effectively to meet the evolving needs of our customers.

You’ll have the opportunity to influence company-wide strategy, contribute to industry-leading work in generative AI infrastructure, and mentor the next generation of engineering talent pushing the boundaries of what’s possible with AI.

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The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.

Strong candidates may also have experience with:

• High-performance, large-scale distributed systems
• Implementing and deploying machine learning systems at scale
• Load balancing, request routing, or traffic management systems
• LLM inference optimization, batching, and caching strategies
• Kubernetes and cloud infrastructure (AWS, GCP)
• Python or Rust

You may be a good fit if you:

• Have significant software engineering experience, particularly with distributed systems
• Are results-oriented, with a bias towards flexibility and impact
• Pick up slack, even if it goes outside your job description
• Want to learn more about machine learning systems and infrastructure
• Thrive in environments where technical excellence directly drives both business results and research breakthroughs
• Care about the societal impacts of your work

Representative projects across the org:

• Designing intelligent routing algorithms that optimize request distribution across thousands of accelerators
• Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads
• Building production-grade deployment pipelines for releasing new models to millions of users
• Integrating new AI accelerator platforms to maintain our hardware-agnostic competitive advantage
• Contributing to new inference features (e.g., structured sampling, prompt caching)
• Supporting inference for new model architectures
• Analyzing observability data to tune performance based on real-world production workloads
• Managing multi-region deployments and geographic routing for global customers

Deadline to apply: None. Applications will be reviewed on a rolling basis.

The annual compensation range for this role is £225,000-£325,000 GBP.

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At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment.

As a Staff Software Engineer, you will define and drive both the architectural roadmap and implementation of core platforms and software systems. You will be responsible for providing high-level vision and driving adoption across the engineering org for orchestration, data abstraction, data pipelines, identity & access management, and underlying cloud infrastructure.

Impact and Responsibilities:

• Architectural Vision: You will drive the design and implementation of foundational systems, acting as a bridge between high-level business goals and technical goals.

• Cross-Functional Leadership: You will collaborate with cross-functional teams to define and drive adoption of the next generation of features for our AI data infrastructure.

• Technical Ownership: You are responsible for proactively identifying and driving opportunities for organizational growth, driving improvements in programming practices, and upgrading the tools that define our development lifecycle.

• Technical Mentorship: You will serve as a subject matter expert, presenting technical information to stakeholders and providing the guidance to elevate the engineering culture across the company.

Ideally you’d have:

• 8+ years of full-time engineering experience, post-graduation with specialities in back-end systems.

• Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred).

• Demonstrated a track record of independent ownership and leadership across successful multi-team engineering projects.

• Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders.

• Experience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc.

• Experience with orchestration platforms, such as Temporal and AWS Step Functions.

• Experience with NoSQL document databases (MongoDB) and structured databases (Postgres).

• Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI, ArgoCD).

Nice to haves:

• Experience with data warehouses (Snowflake, Firebolt) and data pipeline/ETL tools (Dagster, dbt).

• Experience scaling products at hyper-growth startups.

• Excitement to work with AI technologies.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $252,000-$315,000 USD

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In this role, you'll collaborate with cross-functional teams to define, design, and deliver new features, proactively identify opportunities for, and driving improvements to, current programming practices, including process enhancements and tool upgrades. You'll present technical information to teams and stakeholders, providing guidance and insight on development processes and technologies.

Ideally, you'd have 8+ years of full-time engineering experience, post-graduation, with specialties in back-end systems, specifically related to building large-scale data storage, streaming, and warehousing systems. You'll need extensive experience in various database technologies, streaming/processing solutions, indexing/caching, and various data query engines.

As a Staff Software Engineer, you'll provide technical leadership, including upholding and upleveling engineering standards across the organization, mentoring junior engineers. You'll possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders.

Experience working fluently with standard containerization & deployment technologies like Kubernetes and various public cloud offerings is essential. You'll also need extensive experience in software development and a deep understanding of distributed systems, cloud platforms, and data systems.

You'll drive cross-functional collaboration and communication at an organizational or broader level, and be excited to work with AI technologies.

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We're building the infrastructure that lets people talk to Claude,real-time, bidirectional voice conversations that feel natural, responsive, and safe. This is foundational work for how millions of people will interact with AI.

The Voice Platform team designs and operates the serving systems, streaming pipelines, and APIs that bring Anthropic's audio models from research into production across Claude.ai, our mobile apps, and the Anthropic API. You'll work at the intersection of real-time media, low-latency inference, and distributed systems,building infrastructure where every millisecond of latency is felt by the user.

We partner closely with the Audio research team, who train the speech understanding and generation models, and with product teams shipping voice experiences to users. Your job is to make those models fast, reliable, and delightful to talk to at scale.

Responsibilities

• Design and build the real-time streaming infrastructure that powers voice conversations with Claude,ingesting microphone audio, orchestrating model inference, and streaming synthesized speech back with minimal latency

• Build low-latency serving systems for speech models, optimizing time-to-first-audio and end-to-end conversational responsiveness

• Develop the public and internal APIs that expose voice capabilities to Claude.ai, mobile clients, and third-party developers

• Own the audio transport layer,codecs, jitter buffers, adaptive bitrate, packet loss recovery,so conversations stay smooth across unreliable networks

• Build observability and quality-measurement systems for voice: latency distributions, audio quality metrics, interruption handling, and turn-taking accuracy

• Partner with Audio research to move new model architectures from experiment to production, and feed real-world performance data back into research

• Collaborate with mobile and product engineering on client-side audio capture, playback, and the end-to-end user experience

You may be a good fit if you

• Have 6+ years of experience building distributed systems, real-time infrastructure, or platform services at scale

• Have shipped production systems where latency is measured in tens of milliseconds and users notice when you miss

• Are comfortable working across the stack,from transport protocols and serving infrastructure up to the APIs product teams build on

• Are results-oriented, with a bias toward flexibility and impact

• Pick up slack, even if it goes outside your job description

• Enjoy pair programming (we love to pair!)

• Care about the societal impacts of voice AI and want to help shape how these systems are developed responsibly

• Are comfortable with ambiguity,voice is a fast-moving space, and you'll help define the architecture as we learn what works

Strong candidates may also have experience with

• Real-time media protocols and stacks: WebRTC, RTP, gRPC bidirectional streaming, or WebSockets at scale

• Audio engineering fundamentals: codecs (Opus, AAC), voice activity detection, echo cancellation, jitter buffering, or audio DSP

• Low-latency ML inference serving, streaming model outputs, or GPU-based serving infrastructure

• Telephony, live streaming, video conferencing, or voice assistant platforms

• Mobile audio pipelines on iOS (AVAudioEngine, AudioUnits) or Android (Oboe, AAudio)

• Working alongside ML researchers to productionize models,speech experience is a plus but not required

Representative projects

• Driving time-to-first-audio below human perceptual thresholds by co-designing the serving pipeline with the Audio research team

• Building a streaming inference orchestrator that interleaves speech recognition, LLM reasoning, and speech synthesis with overlapping execution

• Designing the voice mode API surface for the Anthropic API so developers can build their own voice agents on Claude

• Implementing graceful barge-in and interruption handling so users can cut Claude off mid-sentence naturally

• Instrumenting end-to-end audio quality metrics and building dashboards that catch regressions before users do

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This high-impact role will drive the technical direction and oversight for Deep Research Agent Development, translating cutting-edge research in Generative AI, Large Language Models (LLMs), and Agentic Frameworks into robust, scalable, and high-impact production systems that enhance enterprise operations, analytics, and core efficiency.

The ideal candidate thrives in a fast-paced environment, has a passion for both deep technical work and mentoring, and is capable of setting a long-term technical strategy for a critical domain while maintaining a strong, hands-on delivery focus.

Responsibilities

Technical Leadership & Vision

• Set the Technical Roadmap: Define and own the technical strategy, architecture, and roadmap for Deep Research Agents for the Enterprise, ensuring alignment with Scale AI’s overall AI strategy and business goals.

• Drive Breakthrough Research to Production: Lead the end-to-end development, from initial research to production deployment, to landing on customer impact, with a focus on integrating diverse data modalities.

• Core Agent Capabilities Development:

Advanced Knowledge Retrieval: Architect and implement state-of-the-art retrieval systems to ensure the agents provide accurate and comprehensive answers from public and proprietary data sources from enterprises.

Data Analysis: Design and champion the development of data analysis agents that accurately translate complex natural language queries into executable SQL/code against diverse enterprise data schemas.

Multimodal Intelligence: Lead the integration of Multimodal AI capabilities to process and extract structured information from visual documents, tables, and forms, enriching the agent's knowledge base.

Architecture & Design: Design and champion highly scalable, reliable, and low-latency infrastructure and frameworks for building, orchestrating, and evaluating multi-agent systems at enterprise scale.

Technical Excellence: Serve as the technical authority for the team, leading design reviews, defining ML engineering best practices, and ensuring code quality, security, and operational excellence for all agent systems.

Team Leadership & Mentorship

• Lead and Mentor: Technically lead and mentor a team of Machine Learning Engineers and Research Scientists, fostering a culture of innovation, rigorous engineering, rapid iteration, and technical depth.

• Recruiting & Growth: Partner with management to hire, onboard, and grow top-tier talent, helping to shape the long-term structure and capabilities of the team.

• Cross-Functional Influence: Collaborate effectively with Product Managers, Data Scientists, and other engineering/science teams to translate ambiguous, high-level business problems into concrete, executable technical specifications and impactful agent solutions.

Basic Qualifications

• Bachelor's degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience.

• 8+ years of experience in software development, with at least 6 years focused on Machine Learning, Deep Learning, or Applied Research in a production environment.

• 2+ years of experience in a formal or informal Technical Leadership role (Team Lead, Tech Lead) with a focus on setting technical direction for a domain.

• Deep expertise in Generative AI and Large Language Models (LLMs).

• Demonstrated experience designing, building, and deploying AI Agents or complex Agentic systems in production at scale.

• Experience with large-scale distributed systems and real-time data processing.

Preferred Qualifications

• Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, or a related quantitative field.

• Demonstrated experience designing and deploying production-grade Text-to-SQL systems, including handling complex schema linking and query optimization.

• Practical experience with Multimodal AI, specifically integrating OCR and vision-language models for document intelligence and structured data extraction from images/forms.

• Proven experience in one or more relevant deep research areas: Reinforcement Learning (RL), Reasoning and Planning, Agentic Systems.

• Experience with vector databases and advanced retrieval techniques.

• A track record of publishing research papers in top-tier ML/AI conferences (e.g., NeurIPS, ICML, ICLR, KDD).

• Excellent written and verbal communication skills, with the ability to articulate complex technical vision to executive stakeholders and technical peers.

• Experience driving cross-team technical initiatives that have delivered significant business impact.

Compensation

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity-based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

About Us

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

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This is not a traditional analytics role. On this team, data scientists do the core statistical and modeling work, but they also build real tools and products: evaluation explorers, operator workflows, decision-support systems, experimentation surfaces, and customer-specific AI/data applications that get used in production.

The right candidate is strong in first-principles problem solving, rigorous measurement, and technical execution. They know how to define metrics, design experiments, diagnose failures, and build systems that people actually use. They are also comfortable using modern AI-assisted development tools to prototype and iterate quickly without sacrificing reliability, observability, or judgment. Python and SQL matter in this role, but as execution fluency in service of building better products and making better decisions.

Responsibilities: Partner directly with enterprise customers to understand workflows, operational pain points, constraints, and success criteria Turn ambiguous business and product problems into measurable solutions with clear metrics, technical designs, and deployment plans Design and build internal and customer-facing data products, including evaluation tools, workflow applications, decision-support systems, and thin product layers on top of data/ML systems Build end-to-end solutions across data ingestion, transformation, experimentation, statistical modeling, deployment, monitoring, and iteration Design evaluation frameworks, benchmarks, and feedback loops for ML/LLM systems, human-in-the-loop workflows, and model-assisted operations Apply rigorous statistical thinking to experimentation, causal inference, metric design, forecasting, segmentation, diagnostics, and performance measurement Use AI-assisted development workflows to accelerate prototyping and product iteration, while maintaining strong engineering discipline Diagnose failure modes across data quality, model behavior, retrieval, workflow design, and user experience, and drive fixes into production Act as the voice of the customer to Product, Engineering, and Data Science, using field learnings to shape roadmap and platform capabilities

Requirements: 5+ years of experience in data science, machine learning, quantitative engineering, or another highly analytical technical role Proven track record of shipping data, ML, or AI systems that delivered measurable business or product impact Exceptional ability to structure ambiguous problems, define the right success metrics, and translate them into executable technical plans Strong foundation in statistics, experimentation, causal reasoning, and measurement Experience building tools or products, not just analyses , for example internal workflow tools, evaluation systems, operator-facing products, experimentation platforms, or customer-specific applications Hands-on fluency in Python, SQL, and modern data/AI tooling; able to inspect data, prototype quickly, debug deeply, and productionize solutions that work Comfort using AI-assisted coding and development workflows to move from idea to usable product quickly Strong communication and stakeholder management skills; able to work effectively with customers, engineers, product teams, and executives High ownership and bias toward shipping in fast-moving environments with incomplete information

Preferred qualifications: Experience in a forward deployed, solutions, consulting, or other client-facing technical role Experience designing evaluation frameworks for LLMs, retrieval systems, agentic workflows, or other AI-enabled products Experience with large-scale data processing and distributed systems such as Spark, Ray, or Airflow Experience with cloud infrastructure and modern data platforms such as AWS, GCP, Snowflake, or BigQuery Experience building lightweight applications, APIs, internal tools, or workflow software on top of data/ML systems Familiarity with marketplace experimentation, causal inference, forecasting, optimization, or advanced statistical modeling Strong product instinct and the judgment to know when the right answer is a model, an experiment, a tool, or a workflow redesign

What success looks like: Success in this role means taking a messy, high-stakes customer problem and turning it into a deployed system that is actually used. Sometimes that system is a model. Sometimes it is an evaluation framework. Sometimes it is an operator-facing tool or a lightweight data product that changes how decisions get made. In all cases, success is defined by measurable impact, rigorous evaluation, and reliable execution.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Salary Range: $167,200-$209,000 USD

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Your responsibilities will include:

• Owning and architecting large-scale data processing pipelines for robotics and autonomous vehicle datasets
• Building ML training and fine-tuning pipelines using Scale's robotics data
• Working across backend (Python, Node.js, C++) and frontend (React, TypeScript) stacks to build end-to-end solutions
• Developing tools and systems for robotics data collection, teleoperation, and model evaluation
• Interacting directly with robotics and AV stakeholders to understand their technical needs and drive product development
• Building real-time systems for robotic control, sensor fusion, and perception pipelines
• Designing comprehensive monitoring and evaluation frameworks for robotics models and data quality
• Collaborating with ML engineers and researchers to bring robotics research into production
• Delivering features at high velocity while maintaining system reliability and performance

Ideally, you have:

• 3+ years of software engineering experience in robotics, autonomous vehicles, or related fields
• Strong programming skills in Python and TypeScript/Node.js for production systems
• Experience with React and modern frontend development for 3D interfaces
• Practical experience with robotics frameworks (ROS/ROS2), simulation environments, or AV systems
• Understanding of distributed systems, workflow orchestration, and cloud infrastructure (AWS, Temporal, Kubernetes, Docker)
• Experience with databases (MongoDB, PostgreSQL) and data processing at scale
• Track record of working with cross-functional teams including ML engineers, researchers, and customers
• Strong communication skills and ability to operate with high autonomy

Nice to have:

• Experience with C++
• Experience with robotics hardware platforms (robotic arms, mobile robots, perception systems) with a focus on time synchronization
• Background in computer vision, SLAM, motion planning, or imitation learning
• Familiarity with autonomous vehicle data, lidar technologies, or 3D data processing
• Experience with ML model deployment and serving frameworks
• Knowledge of teleoperation systems (ALOHA, UMI, hand tracking) or VR interfaces
• Experience with workflow orchestration systems (Temporal, Airflow)
• Published research or open-source contributions in robotics or autonomous systems

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Your responsibilities will include:

• Defining next-generation AI development tooling and frameworks using products like Cursor, Claude Code, OpenAI Codex, and MS Copilot, as well as in-house custom-built solutions.
• Driving the architecture, design, and implementation of our local development process, build, test, continuous integration, and continuous delivery systems, working closely with stakeholders and internal customers to understand and refine requirements.
• Directly mentoring software engineers ranging from new grads to experienced engineers.
• Proactively identifying opportunities and driving improvements to software development practices, processes, tools, and languages.
• Presenting technical information to teams and stakeholders, providing guidance and insight on development processes and technologies.

Ideally, you'd have:

• 4+ years of full-time engineering experience, post-graduation, with experience in build, test, or CI/CD systems.
• Extensive experience defining and evangelizing best-practices for AI development tools, including cost guardrails, security frameworks, and hosting knowledge-sharing sessions, among others.
• Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred).
• Experience configuring, testing, and enabling MCP servers, AI agents, and other associated systems.
• A track record of independent ownership of successful engineering projects.
• Excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders.
• Experience working fluently with standard infrastructure, containerization, and deployment technologies like Terraform, Docker, Kubernetes, etc.
• Experience with modern web frameworks like NodeJS, NextJS, etc.
• Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI, Helm, ArgoCD).

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

This role may be eligible for additional benefits such as a commuter stipend.

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In this role, you'll interact directly with robotics and AV stakeholders to understand their technical needs and drive product development. You'll also design comprehensive monitoring and evaluation frameworks for robotics models and data quality, and collaborate with ML engineers and researchers to bring robotics research into production.

To succeed, you'll need at least 6 years of high-proficiency software engineering experience, with a strong background in complex systems and the ability to independently research, analyze, and unblock hard technical problems. You should have strong programming skills in Python and TypeScript/Node.js for production systems, experience with React and modern frontend development for 3D interfaces, and concurrent and real-time systems expertise.

We're looking for someone who can deliver features at high velocity while maintaining system reliability and performance, and has a track record of working with cross-functional teams including ML engineers, researchers, and customers. Strong communication skills and the ability to operate with high autonomy are essential.

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Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators.

The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.

Strong candidates may also have experience with:

• High-performance, large-scale distributed systems
• Implementing and deploying machine learning systems at scale
• Load balancing, request routing, or traffic management systems
• LLM inference optimization, batching, and caching strategies
• Kubernetes and cloud infrastructure (AWS, GCP)
• Python or Rust

You may be a good fit if you:

• Have significant software engineering experience, particularly with distributed systems
• Are results-oriented, with a bias towards flexibility and impact
• Pick up slack, even if it goes outside your job description
• Want to learn more about machine learning systems and infrastructure
• Thrive in environments where technical excellence directly drives both business results and research breakthroughs
• Care about the societal impacts of your work

Representative projects across the org:

• Designing intelligent routing algorithms that optimize request distribution across thousands of accelerators
• Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads
• Building production-grade deployment pipelines for releasing new models to millions of users
• Integrating new AI accelerator platforms to maintain our hardware-agnostic competitive advantage
• Contributing to new inference features (e.g., structured sampling, prompt caching)
• Supporting inference for new model architectures
• Analyzing observability data to tune performance based on real-world production workloads
• Managing multi-region deployments and geographic routing for global customers

Annual compensation range for this role is €235,000-€295,000 EUR.

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links,visit anthropic.com/careers directly for confirmed position openings.

How we're different:

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

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Your responsibilities will include:

• Owning and architecting large-scale data processing pipelines for robotics and autonomous vehicle datasets
• Building ML training and fine-tuning pipelines using Scale's robotics data
• Working across backend (Python, Node.js, C++) and frontend (React, TypeScript) stacks to build end-to-end solutions
• Developing tools and real-time systems for robotics data collection, teleoperation, model evaluation, data curation, and data annotation
• Interacting directly with robotics and AV stakeholders to understand their technical needs and drive product development
• Designing comprehensive monitoring and evaluation frameworks for robotics models and data quality

Ideal candidates will have:

• 3+ years of high-proficiency software engineering experience, with a strong background in complex systems and the ability to independently research, analyze, and unblock hard technical problems
• Strong programming skills in Python and TypeScript/Node.js for production systems
• Experience with React and modern frontend development for 3D interfaces
• Concurrent and real-time systems, with special attention to timing constraints
• Understanding of distributed systems, workflow orchestration, and cloud infrastructure (AWS, Temporal, Kubernetes, Docker)
• Experience with databases (MongoDB, PostgreSQL) and data processing at large scale
• Track record of working with cross-functional teams including ML engineers, researchers, and customers
• Strong communication skills and ability to operate with high autonomy

Nice to have:

• Experience with C++
• Experience with robotics hardware platforms (robotic arms, mobile robots, perception systems) with a focus on time synchronization
• Background in computer vision, SLAM, motion planning, or imitation learning
• Familiarity with autonomous vehicle data, lidar technologies, or 3D data processing
• Experience with ML model deployment and serving frameworks
• Knowledge of teleoperation systems (ALOHA, UMI, hand tracking) or VR interfaces
• Experience with workflow orchestration systems (Temporal, Airflow)
• Published research or open-source contributions in robotics or autonomous systems

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As a Senior Software Engineer, you will be responsible for designing, implementing, and deploying large-scale distributed systems, including intelligent request routing, fleet-wide orchestration, and load balancing. You will work closely with our research team to develop new inference features and integrate new AI accelerator platforms.

To succeed in this role, you should have significant software engineering experience, particularly with distributed systems, and be results-oriented with a bias towards flexibility and impact. You should also be able to pick up slack, even if it goes outside your job description, and thrive in environments where technical excellence directly drives both business results and research breakthroughs.

Responsibilities:

• Design and implement large-scale distributed systems, including intelligent request routing, fleet-wide orchestration, and load balancing
• Work closely with our research team to develop new inference features and integrate new AI accelerator platforms
• Collaborate with cross-functional teams to ensure seamless deployment and operation of our systems
• Analyze observability data to tune performance based on real-world production workloads
• Manage multi-region deployments and geographic routing for global customers

Requirements:

• Bachelor's degree or equivalent combination of education, training, and/or experience
• Significant software engineering experience, particularly with distributed systems
• Results-oriented with a bias towards flexibility and impact
• Ability to pick up slack, even if it goes outside your job description
• Thrives in environments where technical excellence directly drives both business results and research breakthroughs

Preferred Qualifications:

• Experience with Kubernetes and cloud infrastructure (AWS, GCP)
• Familiarity with machine learning systems and infrastructure
• Strong communication and collaboration skills

Benefits:

• Competitive compensation and benefits
• Optional equity donation matching
• Generous vacation and parental leave
• Flexible working hours
• Lovely office space in which to collaborate with colleagues

Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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As a Software Engineer for X Product/Platform, you'll join a thirty-person team responsible for building and scaling X. You will be tasked with independently owning significant parts of the system end-to-end: from intuitive user interfaces to robust backend services, data infrastructure, and deep AI integrations.

Responsibilities:

• Develop backend services, APIs, and data models to support high-volume, multi-user environments.
• Work with iOS, Android & Web client engineers to ship products.
• Design robust infrastructure and microservices for payments, transactions, growth, monetization, and engagement across platforms.
• Build and maintain fullstack features, including user dashboards, personalized experiences, content delivery, interactive tools, assessments, and real-time analytics.
• Lead architecture, scalability, and reliability decisions for high-concurrency, low-latency systems.
• Uphold engineering excellence via testing, monitoring, deployment, and secure data handling.

Basic Qualifications:

• Proficiency in distributed systems for high-scale, low-latency environments; languages like Rust, Go, Python & Java, and high volume streaming systems.
• 2+ years of experience working on large scale consumer applications.

Compensation and Benefits:

$180,000 - $440,000 USD

Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

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This is an excellent opportunity for a hands-on leader who thrives in a fast-paced environment and is passionate about solving novel multicloud and distributed systems challenges.

The ideal candidate will have 5+ years of production-level experience in one of: Python, Java, Scala, C++, or a similar language, and 4+ years of experience developing large-scale distributed systems from scratch. Experience working on a SaaS platform or with Service-Oriented Architectures is also required. Extensive experience working on large-scale compute clusters, network connectivity, and automation is necessary.

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Your responsibilities will include:

• Designing extensible, production-grade services that can support frontier AI workflows, including multi-modal inputs, long-running processes, and agentic orchestration.
• Building and operating distributed systems at scale, with strong guarantees around correctness, reliability, observability, and cost efficiency.
• Integrating with public LLM APIs and AI services, designing abstractions that are resilient to model churn, latency variability, and evolving usage patterns.
• Designing and maintaining data transformation and processing systems, supporting complex schema evolution, customization, and high-throughput workloads.
• Partnering closely with infrastructure, product, and customer-facing teams to define requirements, shape technical direction, and deliver seamless integration experiences for customers.
• Leading multi-quarter technical initiatives, including authoring and driving a 6+ month technical roadmap for major platform investments.
• Applying strong engineering judgment in ambiguous problem spaces, balancing speed with long-term maintainability and operational excellence.
• Raising the quality bar through thoughtful system design reviews, rigorous code reviews, and mentorship grounded in real-world production experience.

Ideal Experience:

• 7+ years of professional software engineering experience, with a strong background in building and operating large-scale, production-grade platforms.
• Deep expertise in distributed systems and cloud-native architectures, including Kubernetes, microservices, event-driven systems, caching, and production databases.
• Proven ability to lead multi-quarter technical initiatives, work effectively across cross-functional teams, and apply strong architectural judgment in ambiguous environments.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

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We’re facing many exciting scaling challenges and we’re building a robust platform where your expertise can be applied to areas such as building a beautiful messenger composer, rule matching, deliverability, security, app availability and machine learning, to name a few.

As an experienced engineer you will:

Develop technical plans and contribute to our technical architecture as we scale our products to serve tens of millions of people every day.

Write Ruby code, which knits together a lot of AWS, infrastructure, platform and SaaS technologies that form the core of Intercom’s backend infrastructure

Ship a change to production on your first day and a feature in your first week. That “day one” change is automatically deployed to production along with 100 other deployments (on average) each weekday.

Build using the best tools in the industry. We invest heavily in AI-powered developer tools that remove friction and help you focus on solving meaningful problems.

Grow your team’s capacity by mentoring other engineers and interviewing candidates. This is a chance to be an integral part of building and growing a team.

We are a well-treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us!

Competitive salary and equity in a fast-growing start-up

We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen

Regular compensation reviews - we reward great work!

Pension scheme & match up to 4%

Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents

Flexible paid time off policy

Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones

If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too

MacBooks are our standard, but we also offer Windows for certain roles when needed.

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The ideal candidate will have a strong background in resilient kubernetes application architecture and deployment.

Responsibilities

• Champion reliability initiatives for Kubernetes application deployments: Advocate for best practices to ensure high availability, scalability, and resilience of applications in Kubernetes, focusing on robust testing, secure pipelines, and efficient resource use.
• Administer multi-tenant Kubernetes platforms: Manage complex multi-tenant Kubernetes clusters, configuring access, quotas, and security for isolation and optimal resource allocation while upholding SLAs.
• Perform lifecycle and day 2 operations on clusters: Execute Kubernetes cluster lifecycle, including provisioning, patching, monitoring, backup, disaster recovery, and troubleshooting.
• Deep dive into reliability issues: Conduct in-depth analysis and root cause identification for complex reliability incidents in Kubernetes, utilizing advanced debugging and monitoring tools to propose preventative measures.
• Perform on-call duties: Respond to critical alerts and incidents outside business hours, providing timely resolution to minimize disruptions, collaborating with teams, and communicating clearly.

Requirements

• Bachelor's in CS, Engineering, or related field, or equivalent experience preferred.
• CKA or similar certifications is highly desired.
• 5+ years administering multi-tenant SAAS Kubernetes (EKS, AKS, GKS).
• Strong Gitops/Devops with Argocd or similar helm chart management.
• Proven Docker and containerization experience.
• Strong Linux OS experience.
• Proficient in Go.
• Excellent problem-solving, debugging, and analytical skills.
• Strong communication and collaboration.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

Benefits

In addition to a competitive salary, we offer a variety of benefits to support your needs, including:

• Medical, dental, and vision insurance - 100% paid for by CoreWeave
• Company-paid Life Insurance
• Voluntary supplemental life insurance
• Short and long-term disability insurance
• Flexible Spending Account
• Health Savings Account
• Tuition Reimbursement
• Ability to Participate in Employee Stock Purchase Program (ESPP)
• Mental Wellness Benefits through Spring Health
• Family-Forming support provided by Carrot
• Paid Parental Leave
• Flexible, full-service childcare support with Kinside
• 401(k) with a generous employer match
• Flexible PTO
• Catered lunch each day in our office and data center locations
• A casual work environment
• A work culture focused on innovative disruption

Workplace

While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.

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We're looking for a talented software engineer to join our Storage team at Cockroach Labs. As a member of our team, you will contribute to the growth of CockroachDB by bringing your expertise and commitment to excellence to help build a database that makes data easy for everyone.

Responsibilities

• Develop in Go, but if you don't know it, you'll learn while you're here.
• Improve the performance of CockroachDB.
• Work closely with other engineers and product managers across both the cloud and database teams.
• Work in an environment in which access to state-of-the-art AI-assisted planning and development is provided.
• Take part in a collaborative culture and exchange knowledge with a highly experienced technical organization.
• Ensure that CockroachDB remains scalable, survivable, and consistent as we continue to grow as a company.

Expectations

In your first 30 days, you will become an integrated member of our engineering team. You’ll spend time learning about the Storage team’s domain, processes and people, as well as learning about CockroachDB and CockroachDB Cloud. After 3 months, you will be fully integrated into the team and comfortable contributing to the Storage team’s execution in partnership with Product and Design. After 6 months, you’ll be fully integrated into the Storage team and have a deep understanding of the tech stack and other areas of the Engineering organization.

Requirements

• Experience working on complex technical products and have exposure to distributed systems, concurrency control, file systems, data replication, or memory management.
• Comfort using programming languages like Go, C/C++, Java, and Python. We use Go, but if you don't know it, you'll learn while you're here.
• A solid product architecture knowledge and grasp how a variety of team interactions’ may impact it.
• Experience (or strong interest) in adopting AI-centric development workflows.
• 3+ years of relevant experience is ideal.
• A BS, MS or PhD in Computer Science or equivalent experience.
• Bonus: Experience with storage systems (e.g., preferably Log-Structured Merge Trees, Pebble, etc.)
• Bonus: Experience building, running and debugging large-scale distributed systems in production.
• Bonus: you want to play an active role in how we use AI to reduce toil and build high-quality software.

Team

Reporting to Andy Xu - Manager, Engineering

Andy leads the Storage team within the Database Platform organization, where he oversees the development of Pebble, a Log Structured Merge (LSM) tree implementation (akin to RocksDB, but with innovative features for a SQL database). Based in Seattle with his family, Andy enjoys hiking, playing badminton, and spending quality time with his children outside of work.

Jordan Lewis - VP of Engineering

Jordan is the Head of Engineering for Cockroach Labs. He’s responsible for the teams that build, maintain and keep CockroachDB reliably serving the needs of Cockroach Labs’ most demanding customer base. He joined Cockroach Labs as a Database Engineer in 2016 when it was just 25 people before moving into engineering leadership leading the Global Engineering organization. Jordan lives in his hometown of Brooklyn NY with his wife. Outside of work he enjoys folk music and riding his electric scooter around town.

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As a Staff Software Engineer, you will be responsible for:

• Leading technical strategy, architecture, and implementation
• Mentoring engineers and providing guidance to the engineering team
• Collaborating across teams to drive best practices for engineering excellence and technical leadership
• Contributing code to complex projects that require senior technical expertise

We are looking for someone with 8+ years of experience building large-scale software and highly available and reliable distributed systems. You should have experience building and implementing long-term technical strategy and want to expand your technical influence and effect across teams while still being a hands-on individual contributor.

Benefits and perks include health insurance, life and disability insurance, pension benefits, fertility and adoption benefits, and more.

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This role requires a strong technical background in building and supporting large-scale distributed systems, with a focus on security and cross-org leadership. You will work closely with multiple teams to shape how Databricks enforces Unity Catalog at runtime across compute types and engines.

Key responsibilities include:

• Leading and growing an engineering team delivering runtime enforcement outcomes in a high-severity, cross-org domain
• Establishing single-source-of-truth scope, operating model, and durable mechanisms for enforcement
• Introducing tools to allow greater automation and operability of services
• Using your deep experience to help prevent and investigate production issues
• Planning and leading complicated technical projects that work with several teams within the company

Requirements:

• 15+ years industry experience building and supporting large-scale distributed systems
• Comfortable working towards a multi-year vision with incremental deliverables
• Extensive experience building and maintaining distributed systems
• Security first mindset
• Cross-org leadership in ambiguous, incident-heavy environments; disciplined rollout and ops maturity
• Motivated by delivering customer value and impact
• Experience driving company initiatives towards customer satisfaction
• BS/MS/PhD in Computer Science or related majors, or equivalent experience

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Key responsibilities include:

• Leading, mentoring, and growing a high-performing engineering team responsible for both the customer-facing Model Serving product and its foundational infrastructure.
• Defining and owning the product and technical roadmap for Model Serving, balancing customer experience, functionality, and foundational investments across deployment, inference, monitoring, and scaling.
• Collaborating closely with product, research, platform, and infrastructure teams to drive end-to-end delivery from ideation and prioritization to launch and operation.
• Ensuring Model Serving meets stringent SLAs, SLOs, and performance and reliability goals, continuously improving operational efficiency and customer experience.
• Driving architectural decisions and product design around latency, throughput, autoscaling, GPU/CPU placement, and cost optimization.
• Advocating for customer needs through direct engagement, ensuring engineering decisions translate to clear product impact.
• Promoting best practices in code quality, testing, observability, and operational readiness.
• Fostering a culture of excellence, inclusion, and continuous improvement across the team.
• Partnering with recruiting to attract, hire, and develop top-tier engineering talent.

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We're looking for entrepreneurial Software Engineers to join our Billing Platform team. In this role, you'll have the opportunity to drive the revenue tracking and billing system for our Generative AI products.

Responsibilities:

• Design, implement, and operate flexible and accurate financial systems
• Work across backend, frontend, and accounting-related systems
• Deliver at a high velocity and level of quality to engage our customers
• Work across the entire product lifecycle from conceptualization through production
• Be able, and willing, to multi-task and learn new technologies quickly
• Provide critical input in the Billing team’s roadmap and technical direction
• Work closely with cross-functional partners like finance, product, software engineers, and operations to identify opportunities for business impact, understand, refine and prioritize requirements for billing schemes and financial infrastructure.

Requirements:

• 5+ years of software engineering experience, ideally in high-growth, product-focused environments
• Proven track record of shipping production systems at scale
• Drive reliability and performance across critical infrastructure systems, ensuring our platforms scale predictably and operate with high availability.
• Strong technical depth in one or more areas: front-end frameworks, distributed systems, data infrastructure, or developer tooling
• Experience working across the stack, ideally with React, TypeScript, Node.js, Python, MongoDB, Elasticsearch, and/or Temporal
• Strong product sense and ability to translate ambiguous problems into technical solutions
• Comfortable working in a fast-paced, high-ownership environment with a bias toward execution
• Excited to join a dynamic hybrid team based in San Francisco or New York City

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

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About EarnIn

EarnIn is a pioneer of earned wage access, offering financial flexibility to individuals living paycheck to paycheck.

We're seeking experienced, passionate, and resourceful senior engineers to join our backend teams. As a backend engineer, you will work cross-functionally with various teams and contribute to the design and development of our backend services.

This position will be a hybrid role based in our Bengaluru office, as part of our expanding site presence, with 2 days per week in the office. EarnIn offers excellent benefits for our employees, including healthcare, internet and cell phone reimbursement, a learning and development stipend, and potential opportunities to travel to our headquarters in Mountain View.

Responsibilities

• Design and implement features robust enough to support our rapid expansion.

• Drive the implementation of new features by breaking complex problems down to their essentials, translating that complexity into elegant design, and creating high-quality, maintainable code.

• Create and maintain test automation to enable continuous integration and development velocity.

• Design & deliver thoughtfully crafted REST APIs to drive the interactions between our client applications and backend services.

• Collaborate and mentor other engineers while providing thoughtful guidance using code, design, and architecture reviews.

• Work cross-functionally with other teams (data science, design, product, marketing, analytics).

• Leverage a broad skill set and help us implement and learn new technologies quickly.

• Provide and receive design and implementation evaluations and improve with each iteration.

• Debug production issues across our services infrastructure and multiple levels of our stack.

• Think about distributed systems & services, and care passionately about producing high-quality code.

Requirements

• 4+ years of development experience in Software Engineering

• Bachelor's, Master’s, or PhD degree in computer science, computer engineering, or a related technical discipline, or equivalent industry experience.

• Proficient in at least one modern programming language such as C#, Java, Python, Go, and Scala.

• Hands-on experience working with various databases (DynamoDB, MySQL, ElasticSearch) and data pipeline technologies.

• Experience with continuous integration and delivery tools.

• Experienced in developing and executing functional and integration tests.

• Excellent written and verbal communication skills.

• Ability to thrive in a fast-paced, dynamic environment and have a bias towards action and results.

• Experience with Kubernetes, microservices, and event-driven architecture is a strong plus.

• Experience using AI-assisted development tools (e.g., Copilot, Cursor, LLMs) is a plus

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We are looking for a software engineer to join our team as a founding member of our Belgrade site. As a software engineer, you will be involved in the entire development cycle and exemplify all core Databricks values.

The responsibilities you will have:

• Drive requirements clarity and design decisions for ambiguous problems
• Produce technical design documents and project plans
• Develop new features
• Mentor more junior engineers
• Test and rollout to production, monitoring

What we look for:

• BS in Computer Science or equivalent practical experience in databases or distributed systems
• Comfortable working towards a multi-year vision with incremental deliverables
• Motivated by delivering customer value and impact
• 3+ years of production level experience in either Java, Scala or C++
• Solid foundation in algorithms and data structures and their real-world use cases
• Experience with distributed systems, databases, and big data systems (Apache Spark, Hadoop)

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please click here.

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You'll work across three key areas that define Databricks' networking stack:

Ingress Control Plane: Build the control plane for Databricks' global ingress layer. Enable programming of API gateways with static and dynamic endpoints, simplify service onboarding, and make it easy to expose APIs securely across clouds.

Service-to-Service Communication: Design scalable mechanisms for service discovery and load balancing across thousands of clusters. Provide networking abstractions so product teams don't need to worry about underlying connectivity details.

Overload Protection: Build intelligent rate limiting and admission control systems to protect critical services under high load. Ensure reliability and predictable performance for both customer-facing and internal workloads.

We're looking for someone with a strong proficiency in one or more languages such as Java, Scala, Go, or C++, and experience with service-oriented architectures and large scale distributed systems. Familiarity with cloud platforms (AWS, Azure, GCP) and container/orchestration technologies (Kubernetes, Docker) is also required. A track record of shipping infrastructure that supports mission-critical workloads at scale is essential.

The pay range for this role is $166,000-$225,000 USD.

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Our team works on high-impact systems that operate at internet scale and directly influence user experience, advertiser value, and business outcomes. You'll work on complex, real-world ML problems at massive scale, and contribute to technical strategy, architecture, and long-term ML roadmap.

Responsibilities:

• Design, build, and deploy production-grade machine learning models and systems at scale
• Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring
• Build scalable data and model pipelines with strong reliability, observability, and automated retraining
• Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems
• Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions
• Improve system performance across latency, throughput, and model quality metrics
• Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph & transformers based, and LLM evaluation/alignment

Basic Qualifications:

• 3-5+ years of experience building, deploying, and operating machine learning systems in production
• Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals
• ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs)
• Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
• Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure
• Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions
• Experience improving measurable metrics through applied machine learning

Preferred Qualifications:

• Experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems
• Familiarity with distributed systems and large-scale data processing (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.)
• Experience working with real-time systems and low-latency production environments
• Background in feature engineering, model optimization, and production monitoring
• Experience with LLM/Gen AI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale
• Advanced degree in Computer Science, Machine Learning, or related quantitative field

Potential Teams:

• Ads Measurement Modeling
• Ads Targeting and Retrieval
• Advertiser Optimization
• Ads Marketplace Quality
• Ads Creative Effectiveness
• Ads Foundational Representations
• Ads Content Understanding
• Ads Ranking
• Feed Relevance
• Search and Answers Relevance
• ML Understanding
• Notifications Relevance

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

Pay Transparency:

This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave.

To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.

The base salary range for this position is: $185,800-$260,100 USD

XML job scraping automation by YubHub

You will build the next-generation platform for serving workspace assets, ensuring high QPS, low latency, reliable, and performant systems, proactively addressing the future growth challenges.

Additionally, as a senior member of the team, you will provide technical leadership, mentorship, and guidance to junior engineers, contributing to the overall improvement of team coding practices and system designs.

The Impact you will have:

• Solve real business needs at large scale by applying your software engineering.
• Low level systems debugging, performance measurement, and optimization on large production clusters.
• Build architecture design, influence product roadmap, and take ownership and responsibility over new projects.
• Introduce tools to allow greater automation and operability of services.
• Use your deep experience to help prevent and investigate production issues.
• Plan and lead complicated technical projects that work with several teams within the company.
• Contribute as a technical team lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.

What we look for:

• 15+ years industry experience building and supporting large-scale distributed systems.
• Comfortable working towards a multi-year vision with incremental deliverables.
• Motivated by delivering customer value and impact.
• Strong foundation in algorithms and data structures and their real-world use cases.
• Experience driving company initiatives towards customer satisfaction.
• BS/MS/PhD in Computer Science or related majors, or equivalent experience.

XML job scraping automation by YubHub

You will:

• Serve as the lead technical strategist for public sector engagements, converting ambiguous mission requirements into robust architectural roadmaps and guiding onsite implementation
• Architect the fundamental frameworks for production-grade AI applications, setting the gold standard for how interactive UIs, backend systems, and AI models are integrated at scale to deliver reliable outcomes
• Guide the evolution of cloud infrastructure, ensuring security, global scalability, and long-term system integrity across all environments
• Direct the development of core platforms and shared services, ensuring they solve cross-cutting needs for diverse global client use cases
• Partner with cross-functional leadership to steer the technical roadmap, mentoring senior and junior staff and ensuring all products align with a cohesive, future-proof technical architecture
• Bridge the gap between the field and the core platform by turning real-world client lessons into the reusable patterns that power the entire engineering team

Ideally you'd have:

• Masters or Phd in Computer Science or equivalent deep industry experience in architecting complex, distributed systems
• 10+ years of full-stack expertise across Python, Node.js, and React, with a proven track record of designing high-scale architectures on Kubernetes and global cloud infrastructures (AWS/Azure/GCP)
• Expert ability to design and oversee production-grade ecosystems, ensuring world-class standards for system integrity, security, and long-term scalability
• Extensive experience deploying and troubleshooting sophisticated end-to-end solutions directly within complex, high-security client environments
• A self-driven leader capable of resolving extreme ambiguity, mentoring senior staff, and setting the technical vision for the organization
• A driver of asynchronous workflows and documentation-first cultures to streamline global engineering velocity and reduce friction
• Proficient in Arabic

Nice to haves:

• Past experience working at a startup as a CTO or founding engineer or in a forward deployed engineer / dedicated customer engineer role
• Experience working cross functionally with operations
• Proven track record of building LLM-driven solutions with the strategic foresight to anticipate landscape shifts and architect future-proof systems.

XML job scraping automation by YubHub

At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.

As a member of the Traffic Management team, you will build and extend various traffic management and supporting systems. You will work closely with Network Engineering, Product Engineering, Network Strategy, and other teams to collaborate on ambitious initiatives to make the best use of Cloudflare’s global network.

Responsibilities

• Build and extend various traffic management and supporting systems
• Work closely with Network Engineering, Product Engineering, Network Strategy, and other teams
• Participate in all stages of the software development lifecycle
• Work with a wide range of technologies and programming languages
• Use AI-powered tools and systems as part of your daily workflow

Requirements

• Minimum of 6 years of engineering experience with networking and/or distributed systems
• Systems-level programming experience in Go, Python, Rust, C, or C++
• Strong knowledge of networking protocols in Layers 3 and 4 of the OSI Model
• Knowledge of HTTP, TLS, and CDN networks
• Experience in implementing secure and highly-available distributed systems
• Strong ability to debug issues in complex systems
• Strong collaboration and communication skills across teams and functions
• Experience participating in an on-call rotation
• Willingness to adopt and integrate AI tools and systems into your engineering workflow

What Makes Cloudflare Special?

We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

XML job scraping automation by YubHub

You will collaborate with product and infrastructure teams to develop storage primitives enabling all of Discord. You will exercise 'First Principles Thinking' to always deliver what matters most to our users.

You will work with a talented team of engineers who have built one of the largest communication platforms in the world.

Responsibilities:

• Build and operate large-scale, reliable, and performant data systems with ScyllaDB, PostgreSQL, ElasticSearch, Linux, and Rust.
• Collaborate with product and infrastructure teams to develop storage primitives enabling all of Discord.
• Exercise 'First Principles Thinking' to always deliver what matters most to our users.
• Work with a talented team of engineers who have built one of the largest communication platforms in the world.

Requirements:

• 4+ years of experience with building distributed systems and datastore infrastructure.
• Experience with highly-available and distributed databases: e.g. ScyllaDB, Cassandra, BigTable, DynamoDB, CockroachDB, Postgres w/HA, etc.
• Proficiency with at least one statically-typed programming language: e.g. Rust, Go, Java, C, C++
• Strong operating systems, distributed systems, and concurrency control fundamentals.
• Familiarity with Linux internals.
• Comfortable working in fast-paced environments.

Bonus Points:

• Experience with Cassandra or Scylla.
• Experience with Rust.
• Knowledge of DevOps tools like Salt, Terraform, or Kubernetes.

Why Discord?

Discord plays a uniquely important role in the future of gaming. We're a multi-platform, multi-generational, and multiplayer platform that helps people deepen their friendships around games and shared interests.

We believe games give us a way to have fun with our favorite people, whether listening to music together or grinding in competitive matches for diamond rank.

Join us in our mission!

Your future is just a click away!

XML job scraping automation by YubHub

The Data Platform team at xAI builds and operates the infrastructure responsible for all large-scale data transport and processing across the company.

As a software engineer on the Data Platform team, you will design, build, and operate the distributed systems powering X's data movement and compute.

Responsibilities

• Design and implement high-throughput, low-latency data ingestion and transport systems.
• Scale and optimise multi-tenant Kafka infrastructure supporting real-time workloads.
• Extend and tune Spark, Flink, and Trino for demanding production pipelines.
• Build interfaces, APIs, and pipelines enabling teams to query, process, and move data at petabyte scale.
• Debug and optimise distributed systems, with a focus on reliability and performance under load.
• Collaborate with ML, product, and infrastructure teams to unblock critical data workflows.

Basic Qualifications

• Proven expertise in distributed systems, stream processing, or large-scale data platforms.
• Proficiency in Rust, Go, Scala or similar systems languages.
• Hands-on experience with Kafka, Flink, Spark, Trino, or Hadoop in production.
• Strong debugging, profiling, and performance optimisation skills.
• Track record of shipping and maintaining critical infrastructure.
• Comfortable working in fast-moving, high-stakes environments with minimal guardrails.

Compensation and Benefits

$180,000 - $440,000 USD

Base salary is just one part of our total rewards package at X, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

XML job scraping automation by YubHub

In this role, you will specialise in backend development, designing and optimising robust microservices to ensure scalability, security, and reliability. You will support full-stack efforts, collaborate with cross-functional teams on payments, fraud detection, and compliance initiatives, and contribute to the creation of a high-scale financial products platform.

Responsibilities:

• Develop and optimise microservices for high-concurrency transactions using Go, Postgres, and Kafka.
• Collaborate on system architecture, testing, and monitoring to ensure uptime and performance.
• Build internal tools using frontend technologies as needed to support operational efficiency.
• Support the Technical Lead in risk mitigation and align with engineering, product, and compliance teams to drive project success.
• Contribute to the development of secure, scalable systems for handling financial data and transactions.
• Iterate rapidly on feedback to deliver high-quality solutions in a dynamic environment.

Basic Qualifications:

• 5+ years of software engineering experience, with a strong focus on backend development.
• Proficiency in Go or similar languages and experience with databases (e.g., Postgres) and streaming systems (e.g., Kafka).
• Familiarity with building distributed systems for high-scale, low-latency environments.
• Knowledge of handling secure financial data.
• Ability to contribute to frontend development for internal tools when required.
• Strong communication and problem-solving skills, with a collaborative mindset.

Preferred Skills and Experience:

• Experience in fintech, payments, or regulatory frameworks (e.g., PCI-DSS, AML/KYC).
• Prior work in a fast-paced, startup-like environment on greenfield projects.
• Comfort navigating ambiguous requirements and iterating based on feedback.
• Passion for leveraging AI to transform financial systems.

XML job scraping automation by YubHub

Your responsibilities will include serving as the primary technical point of contact for customers, establishing strong technical relationships and ensuring their success with CoreWeave's cloud infrastructure offerings.

You will collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements.

You will lead proof of concept initiatives to showcase the value and viability of CoreWeave's solutions within specific environments.

You will drive technical leadership and direction during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise.

You will act as a virtual member of CoreWeave's Kubernetes product and engineering teams, identifying opportunities for product enhancement and collaborating with engineers to implement your suggestions.

You will offer valuable insights on product features, functionality, and performance, contributing regularly to discussions about product strategy and architecture.

You will conduct periodic technical reviews and assessments of customer workloads, pinpointing opportunities for workload optimization and suggesting suitable solutions.

You will stay informed of the latest developments and trends in Kubernetes, cloud computing and infrastructure, sharing your thought leadership with customers and internal stakeholders.

You will lead the prototyping and initiation of research and development efforts for emerging products and solutions, delivering prototypes and key insights for internal consumption.

You will represent CoreWeave at conferences and industry events, with occasional travel as required.

To be successful in this role, you will need to have a B.S. in Computer Science or a related technical discipline, or equivalent experience.

You will also need to have 7+ years of proven experience as a Solutions Architect, engineer, researcher, or technical account manager in cloud infrastructure, focusing on building distributed systems or HPC/cloud services, with an expertise focused on scalable Kubernetes solutions.

You will need to be fluent in cloud computing concepts, architecture, and technologies with hands-on experience in designing and implementing cloud solutions.

You will need to have a proven track record with building customer relationships, communicating clearly and the ability to break down complex technical concepts to both technical and non-technical audiences.

You will need to be familiar with NVIDIA GPUs typically used in AI/ML applications and associated technologies such as Infiniband and NVIDIA Collective Communications Library (NCCL).

You will need to have experience with running large-scale Artificial Intelligence/Machine Learning (AI/ML) training and inference workloads on technologies such as Slurm and Kubernetes.

Preferred qualifications include code contributions to open-source inference frameworks, experience with scripting and automation related to Kubernetes clusters and workloads, experience with building solutions across multi-cloud environments, and client or customer-facing publications/talks on latency, optimization, or advanced model-server architectures.

XML job scraping automation by YubHub

You will build the next-generation platform for serving workspace assets, ensuring high QPS, low latency, reliable, and performant systems, proactively addressing the future growth challenges.

Additionally, as a senior member of the team, you will provide technical leadership, mentorship, and guidance to junior engineers, contributing to the overall improvement of team coding practices and system designs.

The Impact you will have:

• Solve real business needs at large scale by applying your software engineering.
• Low level systems debugging, performance measurement, and optimization on large production clusters.
• Build architecture design, influence product roadmap, and take ownership and responsibility over new projects.
• Introduce tools to allow greater automation and operability of services.
• Use your deep experience to help prevent and investigate production issues.
• Plan and lead complicated technical projects that work with several teams within the company.
• Contribute as a technical team lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.

What we look for:

• 15+ years industry experience building and supporting large-scale distributed systems.
• Comfortable working towards a multi-year vision with incremental deliverables.
• Motivated by delivering customer value and impact.
• Strong foundation in algorithms and data structures and their real-world use cases.
• Experience driving company initiatives towards customer satisfaction.
• BS/MS/PhD in Computer Science or related majors, or equivalent experience.

XML job scraping automation by YubHub

We are looking for a backend engineer to join our xAI Tooling team (Starfleet). As a member of this team, you will design, develop, and maintain robust, scalable backend systems that empower our researchers, engineers, and product teams to build, experiment with, and deploy cutting-edge AI models and applications more effectively.

Responsibilities

• Design and build robust, scalable backend systems to power our AI-driven tools and platforms.
• Develop APIs and distributed systems that handle high-throughput data processing for model training and evaluation.
• Create secure, reliable pipelines to support innovative human data generation and agentic workflows.
• Optimise infrastructure to leverage cutting-edge GPU resources for maximum performance.
• Innovate new approaches that bring us closer to our goal: to develop AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge.

Basic Qualifications

• Experience building high-performance backend systems in dynamic, fast-paced environments - as a tech lead, former founder, etc.
• Expertise in designing scalable distributed systems and APIs with a compiled language like Rust or C++.
• Experience optimising data pipelines for machine learning workloads or real-time applications.

Preferred Skills and Experience

• Familiarity with frontend technologies (e.g., TypeScript, React) to collaborate seamlessly with cross-functional teams.

Compensation and Benefits

$180,000 - $440,000 USD

Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

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Key Responsibilities:

• Build simple workflows to cover multiple user journeys in Databricks Control Plane
• Build a self-serve and modular UI flows to help various product teams in Databricks to build standard customer user journeys
• Collaborate with global, cross-functional teams, including product management, backend engineers, to deliver high-quality software
• Participate in the planning and execution of complex projects involving multiple teams and stakeholders
• Create, deploy, test, and upgrade complex data pipelines with powerful features to visualize data graphs
• Provide a great SQL-centric data exploration and dashboarding experience on Databricks
• Work in an interactive environment for collaborative data projects at massive scale with an easy path to production
• Mentor/groom junior software engineers

Requirements:

• 6+ years of industry experience
• Experience leading large multi-quarter efforts with a demonstrated customer or business impact
• Experience developing large-scale distributed systems from scratch
• Comfortable working towards a multi-year vision with incremental deliverables
• Motivated by delivering customer value
• Familiarity with server-side web technologies is a plus
• Knowledge of (and a passion for) current trends and best practices in front-end architecture, including performance, accessibility, security and usability
• Experience building large-scale products
• Experience working on a SaaS platform or with Service-Oriented Architectures

XML job scraping automation by YubHub

XML job scraping automation by YubHub

The impact you'll have:

Our backend teams cover a diverse range of domains, from core compute fabric resource management to service platforms and infrastructure.

For example, you might work on challenges such as:

• Supporting Databricks' growth by building foundational infrastructure platforms that enable seamless operation across numerous geographic regions and cloud providers.

• Implementing cloud-agnostic infrastructure abstractions to help Databricks engineers more efficiently manage and operate their services.

• Develop tools and processes that drive engineering efficiency at Databricks.

We enhance the developer experience for Databricks engineers across various areas, including programming languages, linters, static analysis, IDEs, remote development environments, automated release pipelines, and test automation frameworks.

Our current focus is on optimizing the Rust development experience across the organization.

What we look for:

• BS (or higher) in Computer Science, or a related field

• 6+ years of production level experience in one of: Python, Java, Scala, C++, or similar language.

• Experience developing large-scale distributed systems from scratch

• Experience working on a SaaS platform or with Service-Oriented Architectures

• Proficiency in one or more backend languages such as Java, Scala, or Go.

• Hands-on experience in developing and operating backend systems.

• Ability to contribute effectively throughout all project phases, from initial design and development to implementation and ongoing operations, with guidance from senior team members.

About Databricks:

Databricks is the data and AI company. More than 10,000 organizations worldwide , including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 , rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI.

Benefits:

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion:

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.

Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance:

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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In this role, you will participate in the full software lifecycle , from design and implementation to deployment and long-term operation , and will collaborate with engineering teams to evolve release automation, improve tooling, and reduce manual steps in how we build and ship Temporal.

Key responsibilities include designing, building, and maintaining tools and systems that support release automation and deployment workflows, writing clean, reliable, and concurrent code that supports distributed systems, collaborating with cross-functional teams to understand and improve release quality and developer productivity, documenting technical designs, deployment practices, and operational procedures, and participating in small-team design reviews and contributing practical engineering solutions.

As a Senior Software Engineer, you will have the opportunity to explore new ways to use Temporal to power the release and deployment lifecycle, deepen your understanding of Temporal's architecture and service interactions, and experiment with new automation patterns, testing strategies, and workflow designs that increase release confidence.

To be successful in this role, you will need strong coding ability, especially in languages used at Temporal (e.g., Go, Java, or similar), a solid understanding of concurrency, distributed systems, and multi-threaded programming, experience contributing to backend systems, tooling, infrastructure, or developer workflows, a track record of solving moderately complex problems with reliable, maintainable solutions, and the ability to collaborate effectively in a remote, fast-paced environment.

Additionally, you will have familiarity with release automation concepts, CI/CD pipelines, build tools, or deployment orchestration, experience with cloud environments (AWS, GCP) and container tooling, and exposure to distributed systems orchestration, observability tooling, or platform engineering.

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You will drive the design, and implementation of our foundational platforms and systems, working closely with stakeholders and internal customers to understand and refine requirements. You'll collaborate with cross-functional teams to define, design, and deliver new features. You'll also proactively identify opportunities for, and drive improvements to, current programming practices, including process enhancements and tool upgrades.

Ideally, you'd have 3+ years of full-time engineering experience, post-graduation with specialities in back-end systems. You should have extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred). You should show a track record of independent ownership of successful engineering projects. You should possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders.

You should have experience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc. You should have experience with orchestration platforms, such as Temporal and AWS Step Functions. You should have experience with NoSQL document databases (MongoDB) and structured databases (Postgres). You should have strong knowledge of software engineering best practices and CI/CD tooling (CircleCI).

Nice to haves include experience with data warehouses (Snowflake, Firebolt) and data pipeline/ETL tools (Dagster, dbt). Experience with authentication/authorization systems (Zanzibar, Authz, etc.) is also a plus. Experience scaling products at hyper-growth startups is highly valued. Excitement to work with AI technologies is a must.

XML job scraping automation by YubHub

XML job scraping automation by YubHub

Your responsibilities will include:

• Designing, building, and deploying production-grade machine learning models and systems at scale
• Owning the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring
• Building scalable data and model pipelines with strong reliability, observability, and automated retraining
• Working with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems
• Partnering cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions

You'll work on a wide range of high-impact problems across the Reddit ecosystem, including recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, and multimodal embedding systems.

To be successful in this role, you'll need:

• 3-5+ years of experience building, deploying, and operating machine learning systems in production
• Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals
• ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs)
• Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
• Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure
• Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions

Preferred qualifications include experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems, familiarity with distributed systems and large-scale data processing, and experience working with real-time systems and low-latency production environments.

At Reddit, we're committed to building a workforce representative of the diverse communities we serve. We're proud to be an equal opportunity employer and are committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.

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You’ll be part of one of our multidisciplinary product teams, where you will build both back-end and front-end systems, and work closely with designers, product managers, researchers, and data analysts.

We’re facing many exciting scaling challenges and we’re building a robust platform where your expertise can be applied to areas such as building a beautiful messenger composer, rule matching, deliverability, security, app availability and machine learning, to name a few.

As an experienced engineer you will:

• Develop technical plans and contribute to our technical architecture as we scale our products to serve tens of millions of people every day.

• Write Ruby code, which knits together a lot of AWS, infrastructure, platform and SaaS technologies that form the core of Intercom’s backend infrastructure

• Ship a change to production on your first day and a feature in your first week. That “day one” change is automatically deployed to production along with 100 other deployments (on average) each weekday.

• Build using the best tools in the industry. We invest heavily in AI-powered developer tools that remove friction and help you focus on solving meaningful problems.

• Grow your team’s capacity by mentoring other engineers and interviewing candidates.

This is a chance to be an integral part of building and growing a team.

XML job scraping automation by YubHub

You will be responsible for looking into all kinds of issues, including performance or concurrency issues, and proposing solutions. You will also support our support engineers with harder problems.

To be successful in this role, you will need a strong background in distributed systems and consensus algorithms. You should have strong skills in core Java and be conversant in the standard library of data structures and concurrency constructs, as well as newer language features. You should also have a deep technical proficiency in algorithms and be able to understand and work on complex, highly distributed systems.

In addition to your technical skills, you should be able to own projects from beginning to end, covering both technical design and working with others to develop needed components. You should also have experience leading projects spanning multiple teams and communicating with a variety of stakeholders.

Bonus points will be given for data stores, search, analytics, Lucene, strong knowledge of the JDK, and asynchronous event-driven network frameworks such as Netty.

This role is eligible to participate in Elastic's stock program and has a competitive salary range of $192,500-$304,500 CAD.

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This is not a full-stack role; your expertise will be focused on the intricate details of system internals, performance, and efficiency.

Responsibilities:

• Design, implement, and maintain core system infrastructure and low-level software components.
• Optimize system performance, reliability, and scalability through meticulous analysis and innovative solutions.
• Work with JVM internals, memory management, concurrency, and distributed systems.
• Collaborate with other senior engineers and architects to define technical strategies and roadmaps.
• Mentor junior engineers and contribute to a culture of technical excellence.
• Participate in code reviews, design discussions, and architectural decision-making.
• Troubleshoot complex system issues and provide effective resolutions.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
• 7+ years of professional experience in software development.
• Deep understanding of Java Virtual Machine (JVM) internals, including garbage collection, JIT compilation, class loading, and memory model.
• Proficiency in at least one JVM language and extensive experience with its runtime environment.
• Strong programming skills in Scala/Java/Rust or other systems-level languages.
• Extensive experience with operating system concepts; including processes, threads, concurrency, scheduling, and I/O.
• Proven track record of building and optimizing high-performance, scalable, and reliable systems.
• Experience with distributed systems concepts and technologies.
• Excellent problem-solving, analytical, and debugging skills.
• Strong communication and collaboration abilities
• Experience with performance profiling and tuning tools.
• Contributions to open-source projects related to JVM or systems software.
• Experience with RPC frameworks.

XML job scraping automation by YubHub

XML job scraping automation by YubHub

As a Software Engineer on our Infrastructure team, you’ll help design, build, and operate the systems that power our real-time collaborative design tools used by millions of people worldwide. We’re scaling fast, and we’re looking for experienced distributed systems engineers across a variety of teams. Whether you’re passionate about storage, compute orchestration, developer tooling, networking, or real-time data systems, this role offers an opportunity to shape the technical foundation of one of the most beloved design platforms in the world.

Responsibilities:

• Design, build, and maintain scalable and reliable infrastructure systems that support product innovation and user collaboration at scale.

• Architect and evolve distributed systems including storage platforms, streaming infrastructure, and compute orchestration.

• Improve developer experience by building internal platforms, CI/CD systems, build tools, and APIs.

• Collaborate across product and infrastructure teams to design secure, maintainable, and performant systems.

• Participate in shaping platform strategy, roadmaps, and engineering best practices across the organization.

• Debug and resolve complex production issues that span services and layers of the stack.

• Mentor engineers and foster a culture of collaboration, inclusivity, and technical excellence.

Requirements:

• 5+ years of Software Engineering experience, specifically in backend or infrastructure engineering.

• Deep understanding of distributed systems concepts such as sharding, replication, consistency, and eventual convergence.

• Experience with cloud-native environments (AWS, GCP, or Azure), infrastructure-as-code, and container orchestration.

• Proficiency in languages such as Go, TypeScript, Python, Rust, or Ruby.

• Strong system design skills and a track record of architecting resilient production systems.

• Excellent communication skills, with experience collaborating across teams and mentoring others.

Preferred Qualifications:

• Experience scaling storage platforms (e.g., Postgres, Redis, S3, DynamoDB) or operating streaming systems like Kafka.

• Background in traffic management, DDoS mitigation, or service mesh technologies (e.g., Envoy, Istio).

• A history of developing complex, real-time distributed systems at scale.

• A passion for building developer productivity tools, including development environments, CI/CD pipelines, and build systems.

• Experience with evolving large-scale, shared developer platforms to improve reliability and developer velocity.

• Strong problem-solving skills and a bias for action,especially when tackling high-impact, gritty challenges.

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Responsibilities:

• Design, develop and maintain core components in Open Source Trino, the Starburst Enterprise Platform, or the Starburst Galaxy
• Research and Improve performance of Trino query engine on complex queries without sacrificing correctness of the results
• Collaborate with your team members and other teams globally and operate in a fast-paced environment
• We prioritize focused work, ensuring minimal time is spent in formal meetings, allowing you to concentrate on coding and PR reviews
• Being able to clearly articulate your ideas in writing across various communication channels like Slack, GitHub PRs, and Design Documents is essential in our globally distributed team
• Provide exceptional customer support for both internal and external customers

Some of the things we look for:

• At least 2 years of experience developing distributed systems
• Software development experience with Java
• Demonstrated experience with software engineering and design best practices
• Appreciation for creating maintainable, performant, and high-quality software as part of a fun, high-performing global team
• Interest in distributed systems or database internals such as query optimization
• Intrinsic motivation for improving your software engineering craftsmanship
• Demonstration of ownership, grit, and bias for action - core values at Starburst.

Bonus points:

• Prior experience with database internals such as query optimization
• Familiarity with Trino
• Experience in contributing to larger scale Open-Source Software

Where could this role be based?

• This role is based in our Warsaw office and follows a hybrid model, with an expectation of being onsite 1-2 days per week.

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The nature of our business means you'll spend significant time helping customers who've already adopted Temporal unlock more value by expanding into additional use cases, teams, and workloads. This is a high-velocity, technically deep role.

You'll partner with developers, architects, and engineering leaders at fast-moving companies to help them understand how Temporal fits into their existing architecture and prove out value through hands-on technical work.

You'll be working in a consumption model where usage grows over time, which means building strong technical relationships and staying engaged with accounts as they scale.

As an early member of a growing team, you should be comfortable with ambiguity, frequent context switching, and creating leverage through reusable assets that help the broader team move faster.

Must reside in San Francisco, CA

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At Coinbase, our mission is to increase economic freedom in the world.

We're seeking a Senior Machine Learning Platform Engineer to join our Machine Learning Platform team. The team builds the foundational components for feature engineering and training/serving ML models at Coinbase. Our platform is used to combat fraud, personalize user experiences, and to analyze blockchains.

As a Senior Machine Learning Platform Engineer, you will:

Form a deep understanding of our Machine Learning Engineers’ needs and our current capabilities and gaps. Mentor our talented junior engineers on how to build high quality software, and take their skills to the next level. Continually raise our engineering standards to maintain high-availability and low-latency for our ML inference infrastructure that runs both predictive ML models and LLMs. Optimize low latency streaming pipelines to give our ML models the freshest and highest quality data. Evangelize state-of-the-art practices on building high-performance distributed training jobs that process large volumes of data. Build tooling to observe the quality of data going into our models and to detect degradations impacting model performance.

What we look for in you:

5+ yrs of industry experience as a Software Engineer. Strong understanding of distributed systems. Lead by example through high quality code and excellent communication skills. Great sense of design, and can bring clarity to complex technical requirements. Treat other engineers as a customer, and have an obsessive focus on delivering them a seamless experience. Mastery of the fundamentals, such that you can quickly jump between many varied technologies and still operate at a high level. Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.

Nice to haves:

Experience building ML models and working with ML systems. Experience working on a platform team, and building developer tooling. Experience with the technologies we use (Python, Golang, Ray, Tecton, Spark, Airflow, Databricks, Snowflake, and DynamoDB).

Job ID: P75535

Pay Transparency Notice: Depending on your work location, the target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, vision and 401(k)). Annual base salary range (excluding equity and bonus): $186,065-$225,000 USD

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Our backend teams span many domains across our essential service platforms. You will work on problems that span from product to infrastructure, including distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience.

To succeed in this role, you will need a BS (or higher) in Computer Science, or a related field, and 3+ years of production level experience in one of: Java, Scala, C++, or similar language. You will also need experience developing large-scale distributed systems, experience working on a SaaS platform or with Service-Oriented Architectures, and knowledge of SQL.

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At Coinbase, our mission is to increase economic freedom in the world.

We're seeking a Senior Staff Software Engineer to serve as Coinbase's Solana Staking Protocol CTO , the definitive technical authority on all things Solana staking across the company.

This is not a typical engineering role. You will combine deep Solana protocol mastery with strategic technical leadership to shape Coinbase's Solana staking trajectory for years to come.

You will own the technical strategy across validator operations, staking integrations, and protocol evolution , partnering directly with engineering leadership, product teams, and external ecosystem players including the Solana Foundation.

You will represent Coinbase on the world stage as a recognized Solana expert, speaking at conferences, engaging with the validator community, and influencing protocol direction.

Internally, you will be the go-to expert for any Solana staking technical decision, from runtime-level optimizations to cross-product integration strategy.

Responsibilities

Define Solana Staking Strategy

Own and drive Coinbase's multi-year technical strategy for Solana staking across validator performance, protocol participation, and product integration.

Connect engineering decisions to business outcomes including yield optimization, cost efficiency, and customer growth.

Maximize Validator Performance

Lead the engineering effort to achieve industry-leading APY through validator optimization , including vote accuracy, block production, MEV strategies, commission tuning, and stake distribution.

Build systems and tooling that give Coinbase a durable performance edge.

Own Protocol Expertise

Serve as Coinbase's foremost authority on the Solana runtime, consensus mechanism, staking economics, and validator client landscape (Agave, Firedancer, etc.).

Evaluate protocol upgrades (e.g., SIMD proposals), assess risks, and proactively position Coinbase for changes before they land.

Drive Cross-Product Integration

Partner with Retail Staking and Institutional Staking product and engineering teams to architect scalable staking integrations across Coinbase's product surface area.

Ensure Solana staking is deeply embedded and differentiated in every Coinbase staking product.

Build External Presence & Influence

Represent Coinbase in the Solana ecosystem.

Maintain deep relationships with the Solana Foundation, core development teams, other major validators, and ecosystem partners.

Speak at major conferences (Breakpoint, etc.) and contribute to protocol governance.

Be Coinbase's voice on Solana staking.

Lead Technical Execution

Write production code.

Design and build critical infrastructure for validator operations, monitoring, automation, and reliability.

Set the technical bar for the team , code reviews, architecture decisions, incident response.

Expand Beyond Staking

Serve as a technical advisor on non-staking Solana initiatives where deep protocol knowledge is required (e.g., Solana tax infrastructure, token programs, new Solana-based products).

Mentor and Scale the Team

Elevate a team of strong engineers (IC4-IC5) through mentorship, architectural guidance, and raising the bar on Solana-specific domain expertise.

Define what great Solana engineering looks like at Coinbase.

Requirements

Deep Solana Protocol Expertise

You have extensive, hands-on experience with Solana's architecture , Eg: the runtime, validator mechanics, staking economics, consensus (Tower BFT), turbine, Gulf Stream, and the validator client ecosystem.

You understand Solana at the source-code level, not just the API level.

Technical Authority & Execution

You are a strong IC7-caliber engineer.

You design and build complex distributed systems.

You write production code in Rust and/or Go.

You have deep experience with infrastructure at scale , bare metal, cloud, networking, observability.

Strategic Vision

You can define year-long technical strategies and connect them to business goals.

You break down ambiguous, large-scope problems into executable plans with measurable milestones.

You think in terms of competitive advantage, not just engineering correctness.

Ecosystem Presence & Influence

You are a known figure in the Solana ecosystem.

You have existing relationships with the Solana Foundation, core contributor teams, and major validators.

You have a track record of public speaking, community engagement, or protocol governance participation.

Cross-Functional Leadership

You partner effectively with product, business, and executive stakeholders.

You translate complex protocol dynamics into business-relevant terms for non-technical audiences.

You drive alignment across multiple teams and functions.

Passion for Solana

This isn't a role for a generalist who happens to know some Solana.

You are genuinely passionate about the Solana ecosystem, follow protocol developments closely, and have a strong thesis on where Solana staking is headed.

Ability to Responsibly Use Generative AI Tools

Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.

Nice to Have

Core Contributor to Solana Validator Clients

Core contributor to Solana validator clients (Agave, Firedancer) or significant Solana ecosystem projects.

Experience Operating in Highly Regulated Industries

Experience operating in highly regulated industries or security-first cultures.

Background in Financial Services

Background in financial services, fintech, or crypto custody.

Track Record of Publishing Technical Content

Track record of publishing technical content (blog posts, research, conference talks) on Solana or Blockchain in general.

Experience with Solana's Evolving Staking Landscape

Experience with Solana's evolving staking landscape , liquid staking, stake pools, restaking protocols.

Familiarity with Other PoS Protocol Staking Operations

Familiarity with other PoS protocol staking operations (Ethereum, Cosmos ecosystem) for comparative perspective.

Pay Transparency Notice

Depending on your work location, the target annual base salary for this position can range as detailed below.

Total compensation may also include equity and bonus eligibility and benefits (including medical, dental)

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Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users , demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand.

The Systems engineering team owns compute uptime and resilience at massive scale, building the clusters, automation, and observability that make frontier AI research possible and safely deployable to customers.

Responsibilities

• Own the technical strategy and roadmap for your area, translating team-level goals into concrete execution plans
• Drive cross-team initiatives to build and scale AI clusters (thousands to hundreds of thousands of machines)
• Define infrastructure architecture, ensuring the hardest problems get solved , whether by you directly or by working through others
• Partner with cloud providers and internal stakeholders to shape long-term compute, data, and infrastructure strategy
• Establish and evolve operational excellence practices (incident response, postmortem culture, on-call)

Requirements

• 10+ years of software engineering experience
• Led complex, multi-quarter technical initiatives that span multiple teams or systems
• Can set technical direction for a team, not just execute within it
• Deep expertise in distributed systems, reliability, and cloud platforms (Kubernetes, IaC, AWS/GCP)
• Strong in at least one systems language (Python, Rust, Go, Java)
• Naturally uplevel the engineers around you and can redirect efforts when things are heading off track
• Build alignment across senior stakeholders and communicate effectively at all levels

Benefits

• Annual Salary: $405,000-$485,000 USD
• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

How to Apply

If you're interested in this role, please submit your application through our website. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

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At Intercom, you will be a product engineer - someone who solves real customer problems through a smart and efficient application of your technical knowledge and your tools. You’ll be part of one of our multidisciplinary product teams, where you will build both back-end and front-end systems, and work closely with designers, product managers, researchers, and data analysts.

We’re facing many exciting scaling challenges and we’re building a robust platform where your expertise can be applied to areas such as building a beautiful messenger composer, rule matching, deliverability, security, app availability and machine learning, to name a few.

Responsibilities:

As an experienced engineer you will:

• Develop technical plans and contribute to our technical architecture as we scale our products to serve tens of millions of people every day.

• Write Ruby code, which knits together a lot of AWS, infrastructure, platform and SaaS technologies that form the core of Intercom’s backend infrastructure

• Ship a change to production on your first day and a feature in your first week. That “day one” change is automatically deployed to production along with 100 other deployments (on average) each weekday.

• Build using the best tools in the industry. We invest heavily in AI-powered developer tools that remove friction and help you focus on solving meaningful problems.

• Grow your team’s capacity by mentoring other engineers and interviewing candidates. This is a chance to be an integral part of building and growing a team.

Requirements:

• 5+ years of industry experience in a software engineering role, preferably building a SaaS product. You can demonstrate significant impact that your work has had on the product and/or the team.

• Deep knowledge of a high-level programming language (for example, Ruby, Python, Javascript etc.)

• Experience collaborating directly with product teams and designers, and a proven track record of delivering value to customers or users. Engineers at Intercom are pragmatists who work closely with others on cross-disciplinary teams

• Experience with Distributed systems

Benefits:

We are a well-treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us!

• Competitive salary and equity in a fast-growing start-up

• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen

• Regular compensation reviews - we reward great work

• Pension scheme & match up to 4%

• Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents

• Flexible paid time off policy

• Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones

• If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too

• MacBooks are our standard, but we also offer Windows for certain roles when needed.

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In this role, you will design and build systems that optimize cloud usage and scale for global expansion. You will contribute to system architecture and execution with a focus on distributed systems. You will co-author roadmaps, setting the vision for infrastructure scalability, reliability, and engineering velocity.

You will develop effective partnerships across engineering, security, and product teams to ensure alignment of infrastructure goals. You will lead design reviews for projects, with a focus on system reliability, scalability, and maintainability. You will partner with Security to ensure infrastructure is secure by default.

You will deeply understand how to leverage Temporal's platform to power infrastructure at scale. You will gain insights into customer needs and translate them into infrastructure design decisions. You will explore new technologies and approaches to enhance infrastructure reliability and scalability.

You will share and advocate for design principles to build reliable systems at scale. You will mentor and grow other engineers, fostering a culture of learning and collaboration. You will drive alignment across teams, ensuring roadmaps and priorities remain connected to organizational goals.

To be successful in this role, you will need proven experience leading complex, cross-functional engineering efforts focused on cloud, compute, networking, and storage infrastructure. You will need exceptional collaboration and communication skills, with the ability to drive alignment across diverse teams and stakeholders.

You will need a track record of contributing to long-term technical roadmaps and making thoughtful system-level tradeoffs. You will need at least 8+ years of coding experience in languages such as Go, Java, or similar, with expertise in writing concurrent code.

You will need strong experience designing distributed systems and utilizing concurrency primitives. You will need deep expertise in at least one infrastructure domain (e.g., compute, networking, storage) and familiarity with related domains.

You will need hands-on experience with one or more cloud providers (e.g., AWS, GCP, Azure), with an understanding of how to optimize for cost, performance, and reliability.

You will need a passion for driving technical excellence, scalability, and operational reliability in cloud-based infrastructure.

The estimated pay range for this role is $212,000 - $286,000 depending on experience and location. This role is eligible to participate in Temporal's equity plan.

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This role is ideal for someone who thrives at the intersection of research and systems engineering: a builder who understands both the math of optimization and the realities of distributed compute.

Responsibilities:

• Design and optimize distributed training infrastructure for large-scale LLMs, focusing on performance, stability, and reproducibility across multi-GPU and multi-node setups.
• Implement and evaluate low-precision numerics (for example, BF16, MXFP8, NVFP4) to improve efficiency without sacrificing model quality.
• Develop kernels and communication primitives that use hardware-level support for mixed and low-precision arithmetic.
• Collaborate with research teams to co-design model architectures and training recipes that align with emerging numeric formats and stability constraints.
• Prototype and benchmark scaling strategies such as data, tensor, and pipeline parallelism that integrate precision-adaptive computation and quantized communication.
• Contribute to the design of our internal orchestration and monitoring systems to ensure that thousands of distributed experiments can run efficiently and reproducibly.
• Publish and share learnings through internal documentation, open-source libraries, or technical reports that advance the field of scalable AI infrastructure.

Skills and Qualifications:

Minimum qualifications:

• Bachelor’s degree or equivalent experience in computer science, electrical engineering, statistics, machine learning, physics, robotics, or similar.
• Understanding of deep learning frameworks (e.g., PyTorch, JAX) and their underlying system architectures.
• Thrive in a highly collaborative environment involving many, different cross-functional partners and subject matter experts.
• A bias for action with a mindset to take initiative to work across different stacks and different teams where you spot the opportunity to make sure something ships.
• Strong engineering skills, ability to contribute performant, maintainable code and debug in complex codebases in areas such as floating-point numerics, low-precision arithmetic, and distributed systems.

Preferred qualifications , we encourage you to apply if you meet some but not all of these:

• Familiarity with distributed frameworks such as PyTorch/XLA, DeepSpeed, Megatron-LM.
• Experience implementing FP8, INT8, or block-floating point (MX) formats and understanding their numerical trade-offs.
• Prior contributions to open-source deep learning infrastructure such as PyTorch, DeepSpeed, or XLA.
• Publications, patents, or projects related to numerical optimization, communication-efficient training, or systems for large models.
• Experience training and supporting large-scale AI models.
• Track record of improving research productivity through infrastructure design or process improvements.

Logistics:

• Location: This role is based in San Francisco, California.
• Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $350,000 - $475,000 USD.
• Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.
• Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.

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Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators.

As a Staff Software Engineer on our Inference team, you will work end to end, identifying and addressing key infrastructure blockers to serve Claude to millions of users while enabling breakthrough AI research. Strong candidates should have familiarity with performance optimization, distributed systems, large-scale service orchestration, and intelligent request routing. Familiarity with LLM inference optimization, batching strategies, and multi-accelerator deployments is highly encouraged but not strictly necessary.

Responsibilities:

• Work end to end on identifying and addressing key infrastructure blockers to serve Claude to millions of users while enabling breakthrough AI research
• Collaborate with the team to design and implement solutions to complex problems
• Develop and maintain large-scale distributed systems
• Implement and deploy machine learning systems at scale
• Load balancing, request routing, or traffic management systems
• LLM inference optimization, batching, and caching strategies
• Kubernetes and cloud infrastructure (AWS, GCP)
• Python or Rust

Requirements:

• Significant software engineering experience, particularly with distributed systems
• Results-oriented, with a bias towards flexibility and impact
• Pick up slack, even if it goes outside your job description
• Want to learn more about machine learning systems and infrastructure
• Thrive in environments where technical excellence directly drives both business results and research breakthroughs
• Care about the societal impacts of your work

Benefits:

• Competitive compensation and benefits
• Optional equity donation matching
• Generous vacation and parental leave
• Flexible working hours
• Lovely office space in which to collaborate with colleagues

Application Instructions:

If you're interested in this role, please submit your application through our website. We look forward to hearing from you!

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The Trust Platform team is responsible for protecting our community and platform from fraud while also ensuring our hosts, guests, homes, and experiences meet our high standards. We constantly work to fight against online fraud (such as monetary loss, compromised accounts, spam and scam in messages, fake inventory, etc.) as well as offline fraud (theft, property damage, personal safety, etc.).

As a senior software engineer on this team, you will be deeply involved in building highly available and real-time risk detection services in close collaboration with product, data science and operations teams to understand ever-evolving attack vectors and to make Airbnb the most safe and trusted community.

Responsibilities:

• Design, implement, and operate resilient and scalable distributed systems
• Build and evolve platform capabilities to tackle the changing landscape of fraud attacks by collaborating with engineering teams in Airbnb’s Trust, Payment and CSP organizations.
• Provide critical input in Trust Platform’s team roadmap and technical direction.
• Identify opportunities to improve the reliability, scalability, and efficiency of Trust Platform services and drive their implementation.
• Mentor other engineers in developing their technical and collaboration skills
• Advocate and participate in efforts to advance Airbnb’s engineering processes and technical foundations.

Your Expertise:

• 5-9+ years of industry experience
• BS/MS/PhD in Computer Science, a related field, or equivalent work experience
• Proficiency in one or more backend languages (Java/Ruby/Kotlin etc). Familiarity with Scala is a plus.
• Experience with service-oriented architectures and developing large-scale distributed systems.
• Experience with platform architecture patterns and best practices.
• Hands on experience leading project teams and setting technical direction.
• Experience with the Trust and Risk domain.
• Experience with building and leading infrastructure is a plus.

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process.

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At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially.

We're the only company offering three integrated solutions for frontier AI development:

Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale

Frontier Data Labeling Service: Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models

Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling

Why Join Us

High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions.

Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence.

Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution.

Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI.

Clear Ownership: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics.

The role

We’re hiring a Forward Deployed Engineering Manager to lead the design, development, and delivery of reinforcement learning environments for agentic AI systems.

You’ll manage a team responsible for building sandboxed, reproducible environments,terminal-based workflows, browser automation, and computer-use simulations,that power both model training and human-in-the-loop evaluation. This is a hands-on leadership role where you’ll set technical direction, guide execution, and stay close to architecture and critical systems.

What You’ll Do

Lead, hire, and develop a high-performing team of Forward Deployed Engineers, setting a high bar for ownership, velocity, and technical quality

Own the RL environment roadmap, aligning team execution with customer needs and evolving model capabilities

Oversee development of sandboxed environments (terminal, browser, tool-augmented workspaces) that support deterministic execution and multi-step agent interaction

Ensure reliability, observability, and data integrity through strong instrumentation (logging, trajectory capture, state snapshotting)

Drive infrastructure excellence across containerization, sandboxing, CI/CD, automated testing, and monitoring

Partner cross-functionally with data operations, product, and leading AI labs to define task design, evaluation protocols, and environment requirements

Enable rapid prototyping and iteration, helping the team move from ambiguous requirements to production-ready systems quickly

Stay close to the technical details,reviewing architecture, unblocking complex issues, and guiding design decisions

What We’re Looking For

5+ years of software engineering experience (Python)

2+ years of experience managing or leading engineers in fast-paced environments

Strong experience with containerization and sandboxing (Docker, Firecracker, or similar)

Solid understanding of reinforcement learning fundamentals (MDPs, reward design, episode structure, observation/action spaces)

Background in infrastructure, developer tooling, or distributed systems

Strong debugging skills and systems thinking across layered, containerized environments

Ability to operate in ambiguity and translate loosely defined problems into clear execution plans

Excellent communication and stakeholder management skills

Preferred

Experience building or working with RL environments (Gym, PettingZoo) or agent benchmarks (SWE-bench, WebArena, OSWorld, TerminalBench)

Familiarity with cloud infrastructure (GCP or AWS)

Prior experience in AI/ML platforms, data companies, or research environments

Contributions to open-source projects in RL, agents, or developer tooling

Why This Role Matters

RL environment quality is a critical bottleneck in advancing agentic AI. Poorly designed or unreliable environments introduce noise into training loops and directly impact model performance.

In this role, you’ll lead the team building the environments that define how models learn,working across a range of cutting-edge projects with leading AI labs. Alignerr offers the speed and ownership of a startup with the scale and resources of Labelbox, giving you the opportunity to have outsized impact on the future of AI.

About Alignerr

Alignerr is Labelbox’s human data organization, powering next-generation AI through high-quality training data, reinforcement learning environments, and evaluation systems. We partner directly with leading AI labs to build the data and infrastructure that push model capabilities forward.

Life at Labelbox

Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland

Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility

Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making

Growth: Career advancement opportunities directly tied to your impact

Vision: Be part of building the foundation for humanity's most transformative technology

Our Vision

We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs.

Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs.

Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.

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In this technical leadership role, you will articulate and pursue the most leveraged opportunities to reduce security risk across Engineering, designing and building lovable 'paved paths' for managing identities and access, shipping code, configuring cloud infrastructure, and operating services.

Key responsibilities include:

• Developing and applying best-in-class secure baselines for cloud infrastructure
• Securing first- and third-party software supply chains, from the dev environment through CI/CD and into production
• Building and owning identity and access management (IAM) systems that are user-friendly and promote least privilege
• Managing infrastructure vulnerabilities while supporting rapid growth for Engineering
• Consulting on risk assessments, architectural designs, threat models, code reviews, and more,pragmatically balancing security with other business considerations

Example projects include:

• Supporting IAM with scalable platform solutions
• Building tooling to prevent and address vulnerabilities across our infrastructure
• Integrating service-to-service authentication and authorization into Discord's internal developer platform

What we look for in a candidate includes:

• 5+ years of experience building and operating production systems or infrastructure
• 5+ years of experience writing software in a general-purpose programming language
• 4+ years of experience securing systems with millions of users
• Experience mentoring junior ICs and leading technical projects involving multiple engineers and spanning multiple quarters
• Experience designing and building software for customers (internal or external) beyond your immediate team
• Experience securing cloud environments
• Experience defining and orchestrating containers
• Familiarity with build and CI/CD technologies
• Understanding of modern authentication and authorization concepts

Bonus points if you have experience developing and debugging distributed systems atop GCP and Cloudflare, leading complex migrations or risk management programs across an engineering organization, or managing and securing VMs or bare-metal hosts.

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You will build the next-generation platform for serving workspace assets, ensuring high QPS, low latency, reliable, and performant systems, proactively addressing the future growth challenges.

Additionally, as a senior member of the team, you will provide technical leadership, mentorship, and guidance to junior engineers, contributing to the overall improvement of team coding practices and system designs.

The Impact you will have:

• Solve real business needs at large scale by applying your software engineering skills.

• Low-level systems debugging, performance measurement, and optimization on large production clusters.

• Build architecture design, influence product roadmap, and take ownership and responsibility over new projects.

• Introduce tools to allow greater automation and operability of services.

• Use your deep experience to help prevent and investigate production issues.

• Plan and lead complicated technical projects that work with several teams within the company.

• Contribute as a technical team lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.

What we look for:

• 15+ years industry experience building and supporting large-scale distributed systems.

• Comfortable working towards a multi-year vision with incremental deliverables.

• Motivated by delivering customer value and impact.

• Strong foundation in algorithms and data structures and their real-world use cases.

• Experience driving company initiatives towards customer satisfaction.

• BS/MS/PhD in Computer Science or related majors, or equivalent experience.

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Your responsibilities will include:

• Building out the backend for Pinner-facing features to power the future of inspiration on Pinterest
• Contributing to and leading each step of the product development process, from ideation to implementation to release
• Partnering with design, product, and backend teams to build end-to-end functionality
• Employing automated testing to build features with a high degree of technical quality
• Growing as an engineer by working with world-class peers on varied and high impact projects

We're looking for candidates with 1+ years of industry backend development experience, proficiency in common backend tech stacks, and experience building & operating large scale distributed systems and/or networks.

As a Pinterest engineer, you'll have the opportunity to:

• Design, develop, and operate large scale, distributed systems and networks
• Work with Engineering customers to understand new requirements and address them in a scalable and efficient manner
• Actively work to improve the developer process and experience in all phases from coding to operation

If you're passionate about building Tomas and working with a talented team, we'd love to hear from you!

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This means driving deployments from scoping through production, running the platform work that spans them, and working across API, Platform Foundations, Security, our cloud provider counterparts, and whoever else is on the critical path when dependencies and tradeoffs pile up.

Responsibilities:

• Own end-to-end program execution for Anthropic’s API across major cloud deployments, from scoping through production launch and steady-state operations

• Drive the platform programs that cut across individual deployments: the shared foundations that get built once and reused, not rebuilt per cloud

• Act as a primary coordination point with cloud provider counterparts, keeping engagement clean across multiple internal teams with touchpoints into the same partner

• Partner with engineering leadership to turn technical direction into executable plans with clear owners, dependencies, and risk tracking

• Build the program scaffolding (roadmaps, status reporting, decision logs, escalation paths) that lets a fast-moving org stay aligned without slowing down

• Drive the hard sequencing conversations when partner commitments, engineering bandwidth, and priorities are in tension, and surface them to leadership with a recommendation

• Identify where program coverage is thin relative to the load and help shape how we staff around it

You may be a good fit if you:

• Have 10+ years of technical program management experience, including ownership of large infrastructure or platform programs with many engineering teams and external partners in the mix

• Have deep technical fluency in cloud APIs, infrastructure, distributed systems, or platform engineering, enough to be a credible partner to senior engineers on architecture and sequencing, not just a tracker of their decisions

• Have run programs spanning organizational boundaries where you had no direct authority over most of the people whose work you depended on, and delivered anyway

• Have direct experience with multi-cloud or hybrid cloud environments, large-scale migrations, or building platform abstraction layers

• Have worked with major cloud providers (AWS, GCP, Azure) or similar large technology partners, and know how to keep those relationships productive when priorities diverge

• Are comfortable operating in ambiguity on the long arc while being ruthlessly concrete on what ships this quarter and who owns it

• Have a track record of making a program get cheaper to run the second and third time, not just landing the first instance

• Thrive in environments where the plan you wrote last month needs rewriting, without losing the thread on what matters

Strong candidates may also:

• Have experience with production serving infrastructure, inference systems, or ML platform work

• Have moved between senior IC and management roles, or have interest in doing so

• Have worked at a company rebuilding systems and org in flight during rapid scale-up

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As an executive engineering individual contributor at Databricks, you will have full ownership of the product or infrastructure direction in a major area, driving it from initial development to scalable solutions with clear business impact. You will serve as a force multiplier by elevating stability, reliability, and organizational processes, while bringing deep expertise in large-scale distributed systems. You will mentor senior engineers, contribute to recruiting, and lead high-impact company projects, often tackling complex problems beyond their comfort zone.

At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions.

Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.

The Impact you will have:

• Solve real business needs at large scale by applying your software engineering.
• Deliver a highly scalable, available, and fault-tolerant engine processing hundreds of TB of data daily across thousands of customers
• Low level systems debugging, performance measurement & optimization on large production clusters.
• Build architecture design, influence product roadmap, and take ownership and responsibility over new projects
• Use your deep experience to help prevent and investigate production issues.
• Plan and lead complicated technical projects that work with several teams within the company.
• A strong influencer or driver in the organization’s roadmap and direction.
• Lead a TLG or similar review committee, or initiate and sustain an org/eng-wide initiative driven by engineering needs.
• Break down complex problems quickly into potential solutions, knowns, and unknowns, and de-risk (through prototyping/validation).
• Contribute as a Technical Team Lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.

What we look for:

• 15+ years industry experience building and supporting large-scale distributed systems.
• Comfortable working towards a multi-year vision with incremental deliverables.
• Motivated by delivering customer value and impact.
• Strong foundation in algorithms and data structures and their real-world use cases.
• Experience driving company initiatives towards customer satisfaction.

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide , including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 , rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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Your responsibilities will include translating business problems into scalable engineering solutions, collaborating with stakeholders from engineering, product, policy, legal, operations, and data science teams, and improving engineering standards, tooling, and processes.

You will have the opportunity to work on a wide range of projects, from building new features to debugging production issues across services and multiple levels of the stack.

To be successful in this role, you will need to have a strong understanding of software engineering principles and practices, as well as excellent communication and collaboration skills.

We offer a competitive salary range of $213,512 - $285,600/yr, as well as additional benefits such as equity, company bonus or sales commissions/bonuses, 401(k) plan, medical, dental, and vision benefits, and wellness stipends.

If you're passionate about building scalable and reliable software systems, and enjoy working in a fast-paced and dynamic environment, we encourage you to apply for this exciting opportunity.

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Brex is a financial platform that enables companies to spend smarter and move faster in over 200 markets. It combines global corporate cards and banking with intuitive spend management, bill pay, and travel software.

As a Senior Application Security Engineer, you will focus on finding and responding to security vulnerabilities across the Brex platform. In this role, you will perform code reviews, design reviews, penetration testing, and vulnerability management. You will develop and maintain tooling to perform static and dynamic testing of the Brex platform and tooling which supports secure developer workflows.

Application Security is part of our wider Financial Scale organization, which means you will work closely with Security Operations, GRC, Product Security, Front End Platform, IT Infrastructure teams.

We’re looking for individuals with a strong background and interest in penetration testing. You should have a demonstrated ability to find vulnerabilities in complex systems and craft exploits to demonstrate business impact.

This role is highly cross-functional and collaborative, you will have the opportunity to work with every engineering team across Brex.

Building a world-class financial service requires world-class security. Brex is pioneering the next wave of AI-driven financial services for dynamic, high-impact companies like Coinbase, Robinhood, and Anthropic.

Responsibilities

• Identifying vulnerabilities, demonstrating business impact, and articulating the risk of specific vulnerabilities to drive prioritization efforts

• Perform penetration testing and design reviews, looking for vulnerabilities and insecure designs, work with engineering and product to design secure product features

• Maintain and build internal tools to automate security efforts, perform SAST and DAST testing of the Brex platform, and support secure development practices

• Build and contribute to a culture of collaborative security excellence through technical leadership, learning sessions, and mentorship within the team and wider organization

Requirements

• 5+ years work experience in an Application Security or related role

• Ability to find vulnerabilities in complex systems, demonstrating business impact through custom attack chains

• Experience with a wide range of secure development activities including, threat modeling, developer education, and incident response

• Knowledge of Python, scripting languages, and AI/agentic workflows to automate tasks, build tools and improve productivity

• Collaborative mindset paired with strong written and verbal communication skills

Bonus points

• Proficiency with Kotlin, gRPC, GraphQL, Kubernetes

• Previous experience as a software engineer

• Consultancy experience performing web application security reviews

• Experience with securing distributed systems in AWS and cloud environments

• Experience with pentesting and securing agentic features and systems

• Contributions to the wider technical community, open source, public research, mentorship, community organizing, blogging, CVEs, presentations, etc

Experience submitting to bug bounty programs or responsible disclosure programs

Compensation

The expected salary range for this role is $192,000 - $240,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity.

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This leader will own the Databricks Spark Connect platform, drive reliability and execution for a critical Serverless component, and lead our open source Spark Connect strategy in Apache Spark. This includes owning the OSS roadmap, partnering across teams, and driving adoption of Spark Connect in the open source ecosystem.

Responsibilities:

• Lead the team responsible for Spark Connect, a critical component of Databricks Serverless.
• Own platform reliability, scalability, and operational excellence.
• Drive Databricks' technical leadership in open source Spark Connect.
• Define and execute the strategy for OSS Spark Connect adoption and ecosystem growth.
• Partner across product, runtime, serverless, and OSS stakeholders to shape roadmap and architecture.
• Hire and grow a strong engineering team with high technical and operational standards.

Requirements:

• 10+ years of experience in distributed systems, infrastructure, or data platforms.
• 3+ years of experience managing high-performing engineering teams.
• Strong technical depth and a track record of owning critical production systems.
• Experience leading cross-functional initiatives and influencing technical direction.
• Passion for open source, developer platforms, and large-scale systems.

Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Zone 2 Pay Range $180,500-$248,150 USD

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Key responsibilities include:

• Driving technical roadmap and strategy for the Build Systems team
• Partnering with cross-functional teams and leadership to identify developer pain points and design elegant, scalable solutions
• Leading complex, multi-quarter initiatives reducing build/test times and improving CI reliability
• Designing, building, and maintaining modern developer tools including scalable build systems, distributed CI platforms, and test frameworks
• Architecting and implementing large-scale infrastructure on AWS that powers our entire build pipeline to ensure reliability, performance, and cost-efficiency
• Mentoring and upleveling the team through technical guidance, code reviews, and architectural leadership

We're looking for someone with 8+ years of engineering experience, including 4+ years on Infrastructure, Platform, or Developer Experience teams. You should have deep expertise in build systems (e.g., Bazel, Buck, Pants, Gradle) and operating large-scale monorepos. Experience optimizing CI/CD, building developer tooling at scale, and designing reliable, high-performance distributed systems is also required.

Preferred skills include experience migrating large codebases to modern build systems (especially Bazel), building test frameworks and improving test infrastructure, and having excellent problem-solving skills.

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At Cloudflare, we're on a mission to help build a better Internet. Today the company runs one of the world's largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.

As a Research Engineer Intern, you will be part of Cloudflare's Research Team, which pursues strategic projects that have a large impact on Cloudflare systems and the Internet at large. Our focus is on solving difficult problems to connect and protect users, applications, and data, while helping to make the Internet more resilient, efficient, and transparent.

Responsibilities

Cloudflare's Research Team solves difficult problems in security, privacy, and systems at scale. This involves engineering, data analysis, open source software development, protocol design, implementation of primitives, with lots of measurement alongside. Successful candidates will be matched to suitable projects in on-going research directions. We also welcome novel proposals and ideas that can help to inform or build a better Internet.

General Research Intern Requirements

• Evidence of tackling hard or open-ended problems
• Proven track record of peer-reviewed research, open-source software contributions, or standards development, that is commensurate with level of training
• Experience clearly communicating research ideas through papers, pre-prints, standards documents, blogs, or similar media
• Ability to work in a systems-level programming language (e.g. Rust, C, Go)
• Passion for debugging and ensuring system reliability
• Familiarity with continuous integration workflows and source control systems (e.g., Gitlab, Github)

Additional Requirements

Knowledge or experience with at least one of the following:

• Computer networking protocols (TCP/IP, DNS, BGP, QUIC, etc.) and related algorithms
• Machine learning analysis, ideally in systems or network optimization
• Authentication protocols, applied cryptography, PKI and SSL/TLS
• Operating or distributed systems analysis or development
• Measurement for network and computer systems

Bonus Points:

• Proven track record of independently driving projects in a fast-paced environment
• Experience working in groups, or with multiple stakeholders
• Able to fluently work across multiple programming languages

Internship Availability and Expectations:

• Ability to commit to a 12 week summer internship
• In office 3-4 days a week in London, UK

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As an Engineering Manager, you will lead a team owning foundational services that must be highly reliable, secure, and fast under extreme load. You will define and drive the strategy for IAM systems, including authentication and access control. You will build and scale a high-performing engineering team focused on authentication, authorization, and identity management at cloud scale.

Key responsibilities include:

• Providing technical oversight on architecture and design for IAM components that can operate at massive scale, with high requirements for reliability, security, and performance.
• Partnering with engineering and product leaders across Databricks to embed secure, scalable identity solutions into every aspect of our product.
• Ensuring regulatory compliance and alignment with industry best practices for IAM, helping customers meet their own governance, privacy, and security needs.
• Attracting and growing top engineering talent, building a team culture that emphasizes innovation, collaboration, and customer trust.

Requirements include:

• 9+ years of professional experience in software engineering, with 2+ years of engineering leadership experience in a fast-paced, dynamic environment.
• Experience building large-scale distributed systems with high availability and security requirements.
• Strong track record building and managing high-performing teams, including experience scaling organizations through multiple phases of growth.
• Proven success driving cross-functional security initiatives and influencing leaders without direct authority.
• Ability to provide technical direction at the architecture level while fostering a pragmatic execution mindset.
• Strong communication and leadership skills, with the ability to evangelize IAM practices and inspire both teams and stakeholders.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range for this role is $190,000-$261,250 USD.

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At Airbnb, quality is not a gate , it’s a platform. The Quality Platform team is reimagining how software is built, tested, and shipped at scale. We sit at the intersection of Infrastructure, Developer Experience, and Applied AI, building the systems that enable thousands of engineers across Airbnb to ship high-quality software with speed and total confidence.

As a cornerstone of Airbnb’s Engineering Hub in Brazil, this team plays a key role in expanding our global platform capabilities while building a high-impact local engineering presence. You will join at a defining moment, helping to shape both the technical direction of the platform and the culture of the Brazil hub.

Responsibilities:

• Lead a High-Impact Team: Build and grow a world-class team of engineers. Foster a culture of Engineering Craft, ownership, and operational excellence.
• Drive Full-Cycle Platform Strategy: Define the roadmap for a unified quality platform that integrates Shift-Left methodologies with robust E2E automation, ensuring high-fidelity signals at every stage.
• Transform Quality with AI: Lead the adoption of AI-native approaches, leveraging LLMs for autonomous test discovery, predictive failure analysis, and self-healing E2E automation.
• Champion 'Quality by Design': Influence how large-scale systems are built across Airbnb, ensuring that testability, modularity, and scalability are fundamental parts of our global architecture.
• Scale the Brazil Hub: Partner with the Brazil Site Lead and global leaders to establish operational rhythms, mentor talent, and build the Airbnb engineering brand in the region.

A Typical Day:

• Strategic Leadership: Review technical designs and partner with tech leads to ensure our platform provides early feedback to developers while maintaining comprehensive E2E coverage.
• People & Culture: Coach and mentor engineers, driving career growth and fostering an inclusive team environment built on trust and belonging.
• Operational Excellence: Identify and resolve systemic bottlenecks in our CI/CD pipelines and testing environments to improve developer velocity and release confidence.
• Cross-Functional Influence: Collaborate with global Infrastructure, Product, and Data leaders to promote full-cycle quality standards and align on shared technical priorities.
• Strategic Sourcing: Participate in recruiting, onboarding, and community-building efforts to scale our presence in the Brazil market.

Your Expertise:

• Leadership Mastery: 3+ years of engineering management and 7+ years in software engineering, with a proven track record of leading high-performing teams.
• Platform & Infrastructure Mindset: Deep experience building or leading infrastructure, developer tooling, or large-scale distributed systems that serve internal engineering customers.
• Full-Cycle Testing Knowledge: A strong understanding of the entire testing pyramid, including unit, integration, and high-scale E2E automation frameworks.
• Strategic Execution: Demonstrated ability to lead through ambiguity and drive complex technical strategies across geographic and organizational boundaries.
• Global Collaboration: Exceptional communication skills in English, with the ability to influence technical roadmaps and stakeholders across the globe.
• Technical Pluses: Experience with Mobile Development (iOS/Android) or Applied AI/ML is highly valued but not required.
• Commitment to Craft: A passion for engineering excellence and a curiosity for how AI can redefine the relationship between speed and quality.

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions.

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At Coinbase, our mission is to increase economic freedom in the world.

We're seeking a Staff Software Engineer to join our Consumer Cash team, which provides the foundational cash layer for Coinbase’s Consumer business.

As a Staff Engineer, you will be the technical anchor for Cash services, defining the architecture and roadmap for core cash capabilities.

You will be part of the vision to build a compelling and trusted single cash balance that serves Everything Exchange users’ risk-off needs.

This role is for an engineer who thrives on tackling complex, high-impact distributed systems that require high reliability and performance,especially in a trading and financial technology context.

Responsibilities:

• Serve as the technical leader and strategist for the Consumer Cash team, defining multi-quarter technical strategies that intersect multiple financial products.

• Architect, develop, and own distributed systems that power low-latency APIs and event-driven pipelines that process large volumes of cash transactions with strong correctness guarantees.

• Provide technical structure and partner closely with management and stakeholders to translate business goals into a defined strategic roadmap.

• Design and implement foundational, high-performance infrastructure components, leveraging tools like Kafka and Clickhouse in an event-sourced architecture.

• Manage individual project priorities, deadlines, and deliverables with strong technical expertise.

• Mentor and coach other team members on advanced design techniques, coding standards, and best practices for building robust value-add products.

• Leverage our modern, diverse tech stack to write high-quality, production-ready code that is thoroughly tested and delivers a critical product to market.

What we look for in you:

• 8+ years of experience in software engineering, with significant experience architecting and developing solutions to ambiguous, high-impact problems.

• Demonstrated experience with low-latency, event-driven, or distributed systems.

• A strong signal if you have a background in building consumer facing trading products or any application that handles large amounts of streaming data.

• Passion for building an open financial system that brings the world together.

• Intellectual curiosity, openness, and a passion for building a culture of positive energy and blameless truth-seeking.

Nice to haves:

• Experience in payments, banking, wallets, or trading systems, especially transaction processing or ledgering.

• Familiarity with the tech stack, including Golang, Clickhouse, Kafka, Redis, MongoDB.

• Experience building financial, high reliability, or security systems.

• Background in Blockchains (such as Bitcoin, Ethereum) or crypto-forward experience (e.g., interacting with Ethereum addresses, ENS, dApps).

• Experience with a company going through rapid growth (from 10 to 100s of engineers).

Job #: 75913

#LI-Remote

Pay Transparency Notice: The target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, and vision).

Annual base salary range (excluding equity and bonus):

$217,900-$217,900 CAD

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As a key member of our engineering team, you will own and operate Figma's core observability stack, including vendor platforms such as Datadog, ensuring high availability, strong data quality, and effective signal-to-noise across metrics, logs, and traces.

You will define and drive the technical strategy for instrumentation standards, observability libraries, agents, and operators used to monitor internal and external facing services. You will also explore and implement innovative, AI-driven approaches to anomaly detection, root cause analysis, signal correlation, and operational automation.

In addition, you will establish clear frameworks for cost attribution, budgeting, forecasting, and alerting across infrastructure and observability spend, enabling teams to make informed tradeoffs.

You will partner with infrastructure, product engineering, finance, and security teams to improve visibility into system health and cost efficiency at scale.

You will lead initiatives to optimize observability footprint and spend, balancing depth of insight with performance and cost considerations.

You will coach and mentor engineers through career development, performance feedback, and technical leadership, fostering a culture of ownership, collaboration, and high-quality execution.

We are looking for someone with 4+ years of experience leading infrastructure, observability, or platform engineering teams, with a track record of delivering highly reliable production systems.

You should have deep hands-on experience with modern observability platforms (e.g., Datadog, OpenTelemetry) across metrics, logs, and distributed tracing.

You should have a strong understanding of distributed systems, instrumentation best practices, SLO design, and incident response workflows.

Experience driving cost transparency and accountability initiatives, including cost attribution, budgeting, forecasting, and alerting in cloud environments is also required.

Preferred skills include experience designing or evolving company-wide observability standards, shared libraries, and agent/operator-based integrations, background in cost optimization for infrastructure or observability tooling, including vendor negotiations and usage modeling, and experience applying AI or machine learning techniques to anomaly detection, root cause analysis, or operational automation.

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As a Senior Full-Stack Software Engineer on our Task Workflows Platform team, you will build and scale the foundational infrastructure that powers core experiences across Brex. You will work across our extensive suite of platforms - including our multi-channel notifications engine, collaborative commenting system, and dynamic workflow rule builder.

Responsibilities

• Work with engineers across the company to build new features and products end-to-end
• Own problems end-to-end, thinking through everything from user experience, data models, scalability, operability and ongoing metrics
• Provide technical leadership to team by driving roadmap direction, architectural design and mentorship
• Work side-by-side with user-facing teams (Sales, Support) to best understand the needs of our customers
• Tune and polish features to a high degree of excellence
• Identify and implement reliability and performance improvements
• Uphold our high engineering standards and bring consistency to the codebases, infrastructure, and processes you will encounter

Requirements

• 7+ years of professional experience designing, developing, and deploying full-stack products
• Strong proficiency in backend programming languages (Java, Kotlin, Python)
• Experience architecting, building, and maintaining scalable, high-availability distributed systems
• Experience designing and optimizing SQL and/or NoSQL databases, including data modeling, query performance tuning, and schema design
• Experience building and maintaining RESTful APIs and/or GraphQL services
• Experience with modern frontend technologies and tools like ES6+, React, TypeScript, and Webpack

Bonus points

• Experience collaborating with cross-functional stakeholders and specialists in product, design, and operations
• Experience driving initiatives at a broader level across an organization or company
• Experience running in-product experiments, A/B testing
• Experience and interest in leveraging AI developer tools

Compensation

The expected salary range for this role is $192,000 - $240,000. However, the starting base pay will depend on a number of factors, including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

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Location: Dublin, Ireland

Job Description:

As a Principal Engineer at Intercom, you will have the opportunity to lead the definition and execution of key strategic initiatives. You will work autonomously and be accountable for strategic execution in part of the engineering organization. You will build both back-end and front-end systems, and work closely with designers, product managers, researchers, and data analysts. You will coach and mentor other engineers and partner closely with the Group Engineering Managers on technical strategy and leadership.

As an experienced engineer, you will have a mastery of domain knowledge and work as a leader within the R&D org to drive key strategic projects. You will provide assessments of project progress, risks, and challenges to engineering leadership to help guide resource allocation and prioritization. You will contribute to our technical architecture as we grow, scaling to service requests from all our customers' customers. You will care about agility as much as you care for scalability and availability, with continuous deployment keeping us focused on incremental releases.

You will contribute to all phases of software development, including ideation, prototyping, design, and implementation. This role has a mix of both hands-on development as well as lead/architecture work. You will build using the best tools in the industry, investing heavily in AI-powered developer tools that remove friction and help you focus on solving meaningful problems.

You will play an active role in hiring, mentoring, and career development of other engineers. You will raise the bar for technical standards, performance, reliability, and operational excellence.

What skills do I need?

You will ideally have built an exciting SaaS product in your previous roles and loved the satisfaction that comes with knowing that people around the world are using something you've created. You will have significant, demonstrated impact that your work has had on the product and/or the teams. You will have deep knowledge of a high-level programming language, such as Ruby, Python, or Perl, and experience with distributed systems. You will have 2+ years of experience as the primary technical leader for a team.

Benefits

We are a well-treated bunch, with awesome benefits! If there's something important to you that's not on this list, talk to us!

• Competitive salary and equity in a fast-growing start-up
• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
• Regular compensation reviews - we reward great work!
• Pension scheme & match up to 4%
• Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
• Flexible paid time off policy
• Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
• If you're cycling, we've got you covered on the Cycle-to-Work Scheme. With secure bike storage too
• MacBooks are our standard, but we're happy to get you whatever equipment helps you get your job done

Policies

Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.

We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values.

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We are seeking a Senior Director of Business Development who is passionate about edge infrastructure. Anduril is building the next generation of edge infrastructure which supports the vital flow of data and processing power to the front lines, enabling intelligent, AI driven operations, even in the most contested environments.

The ideal candidate has experience working with cloud and edge based systems, bringing advanced tactical communications and compute infrastructure to market, understands and can articulate the key concepts and characteristics of distributed systems, and can build a cohesive, data-driven strategy to penetrate, expand, and deliver at-scale these capabilities direct to the Department of War, its Global partners, and to other industry partners in the United States and around the world.

Responsibilities

• Develop and execute a strategy to deploy and scale distributed computing systems that run AI at the edge in support of critical national security missions, both directly to Government and industry partners

• Develop and execute complex program capture strategies for programs

• Collaborate with cross-functional teams including engineering, operations, and manufacturing to ensure alignment between customer requirements and technical solutions

• Lead and take a hands-on approach to proposal development, market analysis, and strategic planning activities

Required Qualifications

• 15 years of experience in selling and scaling distributed systems to both public and commercial customers and developing strong industry partnerships in the tactical computing space

• Prior experience bringing tactical edge compute capabilities to markets across multiple use cases, such as AI, data ingestion, and application hosting

• Deep understanding of current demand signal for edge compute capabilities, and clear knowledge of emerging capabilities in the space

• Deep understanding of DoW acquisition processes, government contracting, and capability transition pathways

• Proven track record in leading capture efforts and securing programmatic funding for emerging technologies

• Exceptional communication, leadership, and stakeholder engagement skills

• Ability to operate effectively in a fast-paced, cross-functional, and mission-driven environment

• Currently possesses and is able to maintain an active U.S. Secret security clearance

• Ability and willingness to travel up to 50%

Preferred Qualifications

• Currently possesses and is able to maintain an active U.S. Top Secret SCI security clearance

Benefits

• Competitive salary range: $220,000 - $292,000 USD

• Highly competitive equity grants

• Comprehensive medical, dental, and vision plans at little to no cost to you

• Generous time off: highly competitive PTO plans with a holiday hiatus in December

• Family planning and parenting support: coverage for fertility treatments, adoption, and gestational carriers

• Mental health resources: access free mental health resources 24/7, including therapy and life coaching

• Professional development: annual reimbursement for professional development

• Commuter benefits: company-funded commuter benefits based on your region

• Relocation assistance: available depending on role eligibility

• Retirement savings plan: traditional 401(k), Roth, and after-tax (mega backdoor Roth) options

Experience Level: senior Employment Type: full-time Workplace Type: remote Category: Engineering Industry: Technology Salary Range: $220,000 - $292,000 USD Required Skills:

• Distributed systems

• Cloud and edge based systems

• Tactical communications and compute infrastructure

• Distributed systems

• Government contracting

• Capability transition pathways

• Emerging technologies

• Proposal development

• Market analysis

• Strategic planning

Preferred Skills:

• Distributed systems

• Cloud and edge based systems

• Tactical communications and compute infrastructure

• Government contracting

• Capability transition pathways

• Emerging technologies

• Proposal development

• Market analysis

• Strategic planning

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Responsibilities:

• Design, develop, and deploy Cresta's AI Agent solutions and proprietary models.
• Focus on practical AI challenges such as improving reasoning, planning capabilities, and evaluation in real-world scenarios.
• Collaborate with cross-functional teams including front-end and back-end software engineers to integrate AI Agents into Cresta's customer solutions.
• Lead initiatives to scale AI systems for production environments, ensuring performance and reliability across use cases.
• Contribute to solving cutting-edge problems in AI and help define the future roadmap for Cresta's AI Agents.
• Innovate and research ways to improve security, cost-efficiency, and reliability of AI systems.

Qualifications:

• Bachelor's or Master's Degree in Computer Science, Mathematics, or a related field.
• 2+ years of hands-on industry experience with AI and machine learning, preferably with experience working with LLMs in large-scale production environments.
• Solid knowledge of machine learning concepts and methods, especially those related to NLP, Generative AI, and working with LLMs.
• Practical knowledge of modern machine learning frameworks and technologies (e.g., PyTorch, Tensorflow, Hugging Face, NumPy), as well as experience with distributed systems and cloud-based AI infrastructure.
• Strong problem-solving and strategic thinking abilities, with a proven ability to lead cross-functional teams and work collaboratively to deliver innovative AI solutions in production.
• A passion for driving AI adoption and pushing the boundaries of AI technology into real-world applications, with an ability to mentor junior engineers and influence strategic decisions across the organization.

Perks & Benefits:

• We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family's needs.
• Paid parental leave to support you and your family.
• Monthly Health & Wellness allowance.
• Work from home office stipend to help you succeed in a remote environment.
• Lunch reimbursement for in-office employees.
• PTO: 3 weeks in Canada.

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The Voice Platform team designs and operates the serving systems, streaming pipelines, and APIs that bring Anthropic's audio models from research into production across Claude.ai, our mobile apps, and the Anthropic API. You'll work at the intersection of real-time media, low-latency inference, and distributed systems,building infrastructure where every millisecond of latency is felt by the user.

We partner closely with the Audio research team, who train the speech understanding and generation models, and with product teams shipping voice experiences to users. Your job is to make those models fast, reliable, and delightful to talk to at scale.

Responsibilities:

• Design and build the real-time streaming infrastructure that powers voice conversations with Claude,ingesting microphone audio, orchestrating model inference, and streaming synthesized speech back with minimal latency

• Build low-latency serving systems for speech models, optimizing time-to-first-audio and end-to-end conversational responsiveness

• Develop the public and internal APIs that expose voice capabilities to Claude.ai, mobile clients, and third-party developers

• Own the audio transport layer,codecs, jitter buffers, adaptive bitrate, packet loss recovery,so conversations stay smooth across unreliable networks

• Build observability and quality-measurement systems for voice: latency distributions, audio quality metrics, interruption handling, and turn-taking accuracy

• Partner with Audio research to move new model architectures from experiment to production, and feed real-world performance data back into research

• Collaborate with mobile and product engineering on client-side audio capture, playback, and the end-to-end user experience

You may be a good fit if you

• Have 6+ years of experience building distributed systems, real-time infrastructure, or platform services at scale

• Have shipped production systems where latency is measured in tens of milliseconds and users notice when you miss

• Are comfortable working across the stack,from transport protocols and serving infrastructure up to the APIs product teams build on

• Are results-oriented, with a bias toward flexibility and impact

• Pick up slack, even if it goes outside your job description

• Enjoy pair programming (we love to pair!)

• Care about the societal impacts of voice AI and want to help shape how these systems are developed responsibly

• Are comfortable with ambiguity,voice is a fast-moving space, and you'll help define the architecture as we learn what works

Strong candidates may also have experience with

• Real-time media protocols and stacks: WebRTC, RTP, gRPC bidirectional streaming, or WebSockets at scale

• Audio engineering fundamentals: codecs (Opus, AAC), voice activity detection, echo cancellation, jitter buffering, or audio DSP

• Low-latency ML inference serving, streaming model outputs, or GPU-based serving infrastructure

• Telephony, live streaming, video conferencing, or voice assistant platforms

• Mobile audio pipelines on iOS (AVAudioEngine, AudioUnits) or Android (Oboe, AAudio)

• Working alongside ML researchers to productionize models,speech experience is a plus but not required

Representative projects

• Driving time-to-first-audio below human perceptual thresholds by co-designing the serving pipeline with the Audio research team

• Building a streaming inference orchestrator that interleaves speech recognition, LLM reasoning, and speech synthesis with overlapping execution

• Designing the voice mode API surface for the Anthropic API so developers can build their own voice agents on Claude

• Implementing graceful barge-in and interruption handling so users can cut Claude off mid-sentence naturally

• Instrumenting end-to-end audio quality metrics and building dashboards that catch regressions before users do

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Solve distributed systems problems: Own session management across scaled-out workers , including affinity, checkpointing, crash recovery, and consistency under concurrent access.

Build a function execution platform: Own a serverless-style runtime where customers deploy custom logic , build orchestration, container lifecycle, autoscaling, and versioned rollouts.

Own developer experience and test infrastructure: Build CLI tools, local development environments, and test execution frameworks that let engineers iterate quickly and ship with confidence.

Raise the bar on production quality: Drive observability, incident response, and engineering best practices across the team.

We're looking for a senior software engineer with 5+ years of experience in infrastructure, platform, or systems work. You should have strong Python and Go skills, as well as a deep understanding of distributed systems, consistency, fault tolerance, state management, and concurrency.

Experience with Kubernetes and cloud-native infrastructure is also required. You should be able to build developer-facing tooling, such as CLIs, SDKs, local dev environments, or internal platforms.

A high bar for code quality, thorough testing, thoughtful code review, and sustainable engineering practices are essential. You should be comfortable operating what you build, on-call, incident response, and production ownership.

AI-native workflow is a must, and you should actively use LLMs and AI-assisted tools in your daily development.

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You will play an active part in shaping product features based on what's technically possible. Furthermore, you will make sure our company hits our ambitious goals from an engineering standpoint.

You bring a passion for meeting business needs while building technically innovative solutions, and excel at shifting between the two,understanding how big-picture goals inform technical details, and vice-versa.

You thrive in a fast-paced iterative engineering environment.

Examples of desirable skills, knowledge and experience:

• A minimum of 3 years experience in software development, with a strong focus on JavaScript, TypeScript and React;
• Bachelor's degree in Computer Science, Engineering, or a related field;
• Experience with frontend frameworks and tooling;
• Good understanding of HTML, CSS and how to work with product design teams;
• Good understanding of how browsers work and their underlying technologies;
• Solid understanding of systems engineering principles and best practices;
• Experience with version control systems such as Git;
• Strong problem-solving skills and attention to detail;
• Excellent communication and interpersonal skills, with the ability to work effectively in a team environment;
• Passion for learning and exploring new technologies;
• Creative thinker with the ability to propose innovative solutions to complex problems;
• An operational mindset - we don't just write code, we also own it in production;

Bonus Points:

• Previous experience working in an Agile environment;
• Experience building high performance distributed systems;
• Understanding of the web and its underlying protocol stack, such as HTTP;
• Familiar with AI, AI agents, and related technologies and standards;
• Contributions to large open source projects.

This role may require flexibility to be on-call outside of standard working hours to address technical issues as needed.

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Your primary focus will be on building and running complex large-scale services, addressing common operational challenges through better telemetry and tooling, and debugging production issues across services and levels of the stack.

You will work closely with the engineering team to define standard methodologies and goals around reliability, durability, scalability, and performance, and participate in design reviews and production reviews for new features, products, or infrastructure components.

In addition, you will plan for the growth of Figma's infrastructure, operate and maintain AWS Infrastructure, and collaborate with cross-functional teams to identify and prioritize areas for improvement.

We're looking for someone with 5+ years of experience operating infrastructure components/services at scale, a proven grasp of Computer Science fundamentals, and a strong interest in distributed systems.

Experience managing infrastructure services in AWS, Microsoft Azure, or Google Cloud is a plus, as is a demonstrated unwavering commitment to operational security and best practices.

If you have excellent problem-solving skills, technical communication skills, and a bias for action, we'd love to hear from you.

At Figma, we celebrate and support our differences, and we're committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status, or any other characteristic protected by law.

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About Starburst

Starburst is the data platform for analytics, applications, and AI, unifying data across clouds and on-premises to accelerate AI innovation.

About the role

Want to work on systems that actually matter? At Starburst, our backend is the engine behind fast, scalable data access , and as an intern, you won’t be on the sidelines.

You’ll join the team building Starburst Galaxy or Enterprise and start contributing from day one. Real code, real impact, real ownership.

You’ll work on distributed systems, APIs, and data processing pipelines, learning directly from experienced engineers while solving problems that show up in production , not just in theory.

We’ll support your growth, but we’ll also expect you to take initiative, move fast, and ship.

This is a paid, 10-week internship (June 1st – August 28th, 2026).

Responsibilities

• Build backend features used by real customers

• Work on scalable, distributed systems

• Ship code early and often

• Learn modern backend technologies in practice

• Collaborate with engineers across different time zones

• Tackle real-world performance and reliability challenges

What we’re looking for

• You’re excited about backend engineering

• You’ve coded in Java

• You like solving hard problems

• You take ownership and get things done

• You’re curious and learn fast

• You’re a rising Senior or recent graduate

Benefits

All-Stars have the opportunity and freedom to realize their true potential. By building alongside top talent, we’re empowered to take ownership of our careers and drive meaningful change. Anchored in industry-proven technology and unprecedented success, All-Stars are taking on the challenge everyday to disrupt our industry – and the future.

Our global workforce is supported by a competitive Total Rewards program that reflects our commitment to a rewarding and supportive work environment. This includes a variety of benefits like competitive pay, attractive stock grants, flexible paid time off, and more.

We are committed to fostering an intentional, inclusive, and diverse culture that drives deep engagement, authentic belonging, and an exceptional All-Star experience. We believe that diversity of thought, perspective, background and experience will enable us to own what we do, drive our success and empower our All-Stars to show up authentically.

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Some example projects include: Apache Spark: Develop the de facto open source standard framework for big data. Data Plane Storage: Provide reliable and high performance services and client libraries for storing and accessing humongous amounts of data on cloud storage backends, e.g., AWS S3, Azure Blob Store. Delta Lake: A storage management system that combines the scale and cost-efficiency of data lakes, the performance and reliability of a data warehouse, and the low latency of streaming. Delta Pipelines: It's difficult to manage even a single data engineering pipeline. The goal of the Delta Pipelines project is to make it simple and possible to orchestrate and operate tens of thousands of data pipelines. Performance Engineering: Build the next generation query optimizer and execution engine that's fast, tuning free, scalable, and robust.

We look for: BS (or higher) in Computer Science, related technical field or equivalent practical experience. Comfortable working towards a multi-year vision with incremental deliverables. Motivated by delivering customer value and impact. 5+ years of production level experience in either Java, Scala or C++. Strong foundation in algorithms and data structures and their real-world use cases. Experience with distributed systems, databases, and big data systems (Apache Spark, Hadoop).

Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location.

Local Pay Range $166,000-$225,000 USD

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At Coinbase, our mission is to increase economic freedom in the world.

We're seeking a Senior Staff Software Engineer, Backend - Platform (Core Automation) to join our team.

As a member of our Core Automation team, you will be responsible for designing and implementing Agentic AI systems that power Coinbase’s customer support experience and compliance processes.

You will also design a platform (primitives, orchestration platform, tools, etc.) that would allow other domains to quickly leverage Agentic AI to automate their processes.

Interacting with stakeholders in many different organizations that build Coinbase products or are responsible for financial operations is also a key part of this role.

Participating in shaping of the strategy and execution path of Coinbase Platform is another important responsibility.

You will manage individual projects priorities, deadlines and deliverables with your technical expertise.

Mentoring and training other team members on design techniques and coding standards is also a key aspect of this role.

Writing high quality, well tested code to meet the needs of your customers is essential.

What we look for in you:

12 + years of experience in backend software engineering using Golang or similar languages

Experience getting LLM based application to production

Proven track record of delivering impactful solutions that power significant customer flows and processes

You’ve experience in architecting and developing solutions to ambiguous problems with significant impact

Strong technical knowledge of building distributed systems that process massive scale

Solid communication skills and ability to communicate to stakeholders with various technical and non-technical backgrounds

Relentless drive to set and perseverance to achieve ambitious goals

Passion for building an open financial system that brings the world together

Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.

Nice to haves:

Experience with LLM and Agentic AI

Measuring and improving LLMs’ grounding to a given corpus and experience reducing hallucinations is a big plus

Experience in the customer support, compliance or financial crimes domains

Experience having made build/buy decisions

Job #: P72990

Pay Transparency Notice: Depending on your work location, the target annual base salary for this position can range as detailed below.

Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, vision and 401(k)).

Annual base salary range (excluding equity and bonus):

$253,895-$298,700 USD

Please be advised that each candidate may submit a maximum of four applications within any 30-day period.

We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying.

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Our ideal candidate has a passion for database systems, storage systems, distributed systems, language design, or performance optimization, with 5+ years of experience working in a related system. A PhD in databases or distributed systems is optional.

As a member of our team, you will be motivated by delivering customer value and impact, and will have the opportunity to work on a multi-year vision with incremental deliverables.

The pay range for this role is $166,000-$225,000 USD, and the total compensation package may also include eligibility for annual performance bonus, equity, and benefits.

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Dialpad is the AI-native business communications platform. We unify calling, messaging, meetings, and contact center on a single platform - powered by AI that understands every conversation in real time.

More than 70,000 companies around the globe, including WeWork, Asana, NASDAQ, AAA Insurance, COMPASS Realty, Uber, Randstad, and Tractor Supply, rely on Dialpad to build stronger customer connections using real-time, AI-driven insights.

We’re now leading the shift to Agentic AI: intelligent agents that don’t just analyze conversations but take action by automating workflows, resolving customer issues, and accelerating revenue in real time.

Our DAART initiative (Dialpad Agentic AI in Real Time) is redefining what a communications platform can do.

Visit dialpad.com to learn more.

Being a Dialer

At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more.

We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves.

We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level.

We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic.

Your role

Dialpad’s Product Engineering organization is responsible for building and maintaining the customer-facing features at scale across all of our cloud-native products and services.

Every day, millions of users across the world leverage our technology for communicating effectively and efficiently.

Every engineer on our global engineering team is given the opportunity to take ownership of a large portion of the product where they’re able to see immediate results.

Combining natural language processing and artificial intelligence with world-class cloud computing, the things you’ll create at Dialpad will shape the future of work,enabling companies to work from anywhere and making business communication more human.

Dialpad’s Analytics team owns data pipelines, multiple databases, a modular query layer, and rich FE components to deliver intuitive and powerful end-user-facing analytics experiences that allow Dialpad customers to make data-driven business decisions.

Our teams are highly collaborative and comprise cross-disciplinary professionals, including Product Managers, Designers, QA specialists, as well as Engineers specialising in Data Engineering, Data Science, and Telephony.

This position reports to the Engineering Manager, who is based in Bengaluru, and the role will be based in our Bengaluru, India Office.

The position will require a hybrid working arrangement based out of our Bengaluru office.

What you’ll do

• Contribute to the design, development, and maintenance of information retrieval and distributed systems.

• Build and optimize search engines, including indexers, analyzers, ranking, and re-ranking strategies.

• Work on hybrid search techniques, including dense vector manipulation, rank fusion, and reranking.

• Maintain and enhance highly scalable search platforms with a focus on performance and cost efficiency.

• Ensure high availability, reliability, and fault tolerance in search services.

• Collaborate with cross-functional teams to translate business requirements into technical solutions.

• Develop and optimize real-time distributed systems, microservices, and message-driven architectures.

• Implement and maintain monitoring, alerting, and performance metrics for platform reliability.

• Evaluate and integrate emerging technologies to improve search capabilities.

• Write clean, modular, and well-tested code while following best engineering practices.

• Participate in code reviews to ensure quality, maintainability, and scalability.

• Provide mentorship and technical guidance to junior engineers.

Skills you’ll bring

• 4-7 years of experience in information retrieval or distributed systems engineering.

• Strong understanding of search platforms and experience maintaining search engines at scale.

• Deep knowledge of indexers, analyzers, field mapping, and ranking techniques.

• Experience with NLP/NLU within the context of information retrieval.

• Expertise in dense vector manipulation and optimization.

• Familiarity with hybrid search, rank fusion, and reranking techniques.

• Proficiency in Go and Python 3 (experience with Rust or TypeScript is a plus).

• Strong understanding of distributed systems, microservices, and message-driven architectures.

• Passion for real-time performance optimization and high availability.

• Experience with API design using Swagger, OpenAPI, or equivalent tools.

• Knowledge of gRPC or equivalent RPC protocols.

• Experience with Docker and Kubernetes for containerized deployments.

• Familiarity with cloud platforms (GCP preferred, AWS/Azure optional).

• Hands-on experience with Infrastructure as Code tools like Terraform or Ansible.

• Knowledge of CI/CD frameworks and continuous delivery practices.

Why Join Dialpad

• Work at the center of the AI transformation in business communications

• Build and ship agentic AI products that are redefining how companies operate

• Join a team where AI amplifies every employee’s impact

• Competitive salary, comprehensive benefits, and real opportunities for growth

We believe in investing in our people. Dialpad offers competitive benefits and perks, cutting-edge AI tools, and a robust training program that help you reach your full potential.

We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection.

Our exceptional culture, repeatedly recognized as a Great Place to Work, ensures that every employee feels valued and empowered to contribute to our collective success.

Don’t meet every single requirement? If you’re excited about this role and possess the fundamental traits, drive, and strong ambition we seek, but your experience doesn’t meet every qualification, we encourage you to apply.

Dialpad is an equal-opportunity employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.

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The impact you will have:

• Lead and grow an engineering team delivering runtime enforcement outcomes in a high-severity, cross-org domain; establish scope, SLAs, and phased roadmaps.
• Establish single-source-of-truth scope, operating model, and durable mechanisms for enforcement.
• Lead multi-year, multi-team initiatives that shape how Databricks enforces Unity Catalog at runtime across compute types and engines.
• Introduce tools to allow greater automation and operability of services.
• Use your deep experience to help prevent and investigate production issues.
• Plan and lead complicated technical projects that work with several teams within the company.

What we look for:

• 15+ years industry experience building and supporting large-scale distributed systems.
• Comfortable working towards a multi-year vision with incremental deliverables.
• Extensive experience building and maintaining distributed systems.
• Security first mindset.
• Cross-org leadership in ambiguous, incident-heavy environments; disciplined rollout and ops maturity.
• Motivated by delivering customer value and impact.
• Experience driving company initiatives towards customer satisfaction.
• BS/MS/PhD in Computer Science or related majors, or equivalent experience.

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At Cloudflare, we have our eyes set on an ambitious goal: to help build a better Internet. Today the company runs one of the world's largest networks that powers trillions of requests per month. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code.

About the Department

Emerging Technologies & Incubation (ETI) is where new and bold products are built and released within Cloudflare. Rather than being constrained by the structures which make Cloudflare a massively successful business, we are able to leverage them to deliver entirely new tools and products to our customers.

About the Team

The Cloudflare Queues team delivers our managed global message queue service. Queues lets developers reliably send and receive messages, buffer or batch operations, and decouple load among services on the edge. It features message batching, automatic retries, and at-least once delivery guarantees. Queues is integrated with Cloudflare Workers; a Worker can send messages to a Queue, and consume messages from a Queue.

What you'll do

We are looking for an Engineering Manager to join our team. You will work with a team of passionate, talented engineers that are building innovative products that bring security and speed to millions of internet users each day. You will play an active part in shaping product features and improving performance to make Queues the best it can be. You will make sure our company hits our ambitious goals from an engineering standpoint. You will change the way people build applications. You bring a passion for meeting business needs by building technical, innovative solutions. You excel to understand how big-picture goals inform technical details. You thrive in a fast-paced iterative engineering environment and have experience in delivering scalable distributed systems. Most importantly, you have a track record of having past teams respect you as both a technical leader and manager.

Examples of desirable skills, knowledge and experience

• Strong communications skills - especially building a shared understanding of systems among a team's members.
• Comfortable leading and hiring a team that builds distributed systems.
• Navigate uncertainty and ambiguity - many of the things we build have never been built before anywhere and you are expected to find a way to deliver.
• Excel at planning, creating teams, and overseeing execution to meet commitments and deliver with predictability
• Comfortable building developer-loved APIs that scale
• Demonstrate a track record of leading a team including hiring, on-boarding, and professional development. You inspire your team to reach higher. You’re as good as explaining “why” as you are “how”.
• Experience implementing tools, process, internal instrumentation, methodologies and resolving blockages
• At least 4 years of recent professional experience with TypeScript or Go.
• Solid understanding of computer science fundamentals including data structures, algorithms, and object-oriented or functional design.
• Deep understanding of the web and technologies such as web browsers, HTTP, JavaScript and WebAssembly

Bonus Points

• Experience building high performance distributed systems.
• Experience working with cloud platforms, especially serverless platforms.
• Deep Linux/UNIX systems, kernel, or networking knowledge
• Contributions to large open source projects
• Experience working with async software patterns like queues, pub-sub, and event buses.
• Experience debugging, optimizing and identifying failure modes in a large-scale Linux-based distributed system.

Compensation

Compensation may be adjusted depending on work location.

• For New York City, New Jersey, Washington, Washington DC, and California (excluding Bay Area) based hires: Estimated annual salary of $170,000 - $260,000

Equity

This role is eligible to participate in Cloudflare’s equity plan.

Benefits

Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.

• Health & Welfare Benefits
• Medical/Rx Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Accounts
• Commuter Spending Accounts
• Fertility & Family Forming Benefits
• On-demand mental health support and Employee Assistance Program
• Global Travel

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Your expertise will be focused on the intricate details of system internals, performance, and efficiency. You will work closely with other senior engineers and architects to define technical strategies and roadmaps, and collaborate with junior engineers to mentor and contribute to a culture of technical excellence.

Responsibilities:

• Design, implement, and maintain core system infrastructure and low-level software components.
• Optimize system performance, reliability, and scalability through meticulous analysis and innovative solutions.
• Work with JVM internals, memory management, concurrency, and distributed systems.
• Collaborate with other senior engineers and architects to define technical strategies and roadmaps.
• Mentor junior engineers and contribute to a culture of technical excellence.
• Participate in code reviews, design discussions, and architectural decision-making.
• Troubleshoot complex system issues and provide effective resolutions.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
• 7+ years of professional experience in software development.
• Deep understanding of Java Virtual Machine (JVM) internals, including garbage collection, JIT compilation, class loading, and memory model.
• Proficiency in at least one JVM language and extensive experience with its runtime environment.
• Strong programming skills in Scala/Java/Rust or other systems-level languages.
• Extensive experience with operating system concepts; including processes, threads, concurrency, scheduling, and I/O.
• Proven track record of building and optimizing high-performance, scalable, and reliable systems.
• Experience with distributed systems concepts and technologies.
• Excellent problem-solving, analytical, and debugging skills.
• Strong communication and collaboration abilities
• Experience with performance profiling and tuning tools.
• Contributions to open-source projects related to JVM or systems software.
• Experience with RPC frameworks.

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You will define and evolve the architecture for how AI workloads are admitted, scheduled, and governed across large GPU clusters using frameworks such as Kueue, Volcano, and Ray. This platform serves as a strategic complement to SUNK (Slurm on Kubernetes) and underpins both training and inference workloads across the CoreWeave cloud.

This role requires strong systems thinking, cross-team influence, and a long-term view of platform scalability, reliability, and developer experience.

You will own the technical vision and architecture for major portions of the AI Workload Orchestration Platform, design scalable, reliable orchestration primitives for AI workloads across multiple schedulers and runtimes, lead cross-team architecture reviews and drive alignment across infrastructure, CKS, and managed inference teams, define platform standards for reliability, observability, capacity management, and operational excellence, identify and resolve systemic performance, scalability, and fairness issues across large GPU clusters, mentor senior engineers and grow technical leadership within the organization, and represent the platform in technical reviews and influence broader CoreWeave platform strategy.

You will be responsible for leading technical initiatives across teams without direct authority, owning mission-critical systems at scale, and having a strong operational mindset. You will also have the opportunity to mentor senior engineers and grow technical leadership within the organization.

If you're a strong systems thinker with a passion for AI and cloud computing, this could be the perfect opportunity for you to join a team of innovators and help shape the future of AI workload orchestration.

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This means driving deployments from scoping through production, running the platform work that spans them, and working across API, Platform Foundations, Security, our cloud provider counterparts, and whoever else is on the critical path when dependencies and tradeoffs pile up.

Responsibilities:

• Own end-to-end program execution for Anthropic’s API across major cloud deployments, from scoping through production launch and steady-state operations

• Drive the platform programs that cut across individual deployments: the shared foundations that get built once and reused, not rebuilt per cloud

• Act as a primary coordination point with cloud provider counterparts, keeping engagement clean across multiple internal teams with touchpoints into the same partner

• Partner with engineering leadership to turn technical direction into executable plans with clear owners, dependencies, and risk tracking

• Build the program scaffolding (roadmaps, status reporting, decision logs, escalation paths) that lets a fast-moving org stay aligned without slowing down

• Drive the hard sequencing conversations when partner commitments, engineering bandwidth, and priorities are in tension, and surface them to leadership with a recommendation

• Identify where program coverage is thin relative to the load and help shape how we staff around it

You may be a good fit if you:

• Have 10+ years of technical program management experience, including ownership of large infrastructure or platform programs with many engineering teams and external partners in the mix

• Have deep technical fluency in cloud APIs, infrastructure, distributed systems, or platform engineering, enough to be a credible partner to senior engineers on architecture and sequencing, not just a tracker of their decisions

• Have run programs spanning organizational boundaries where you had no direct authority over most of the people whose work you depended on, and delivered anyway

• Have direct experience with multi-cloud or hybrid cloud environments, large-scale migrations, or building platform abstraction layers

• Have worked with major cloud providers (AWS, GCP, Azure) or similar large technology partners, and know how to keep those relationships productive when priorities diverge

• Are comfortable operating in ambiguity on the long arc while being ruthlessly concrete on what ships this quarter and who owns it

• Have a track record of making a program get cheaper to run the second and third time, not just landing the first instance

• Thrive in environments where the plan you wrote last month needs rewriting, without losing the thread on what matters

Strong candidates may also:

• Have experience with production serving infrastructure, inference systems, or ML platform work

• Have moved between senior IC and management roles, or have interest in doing so

• Have worked at a company rebuilding systems and org in flight during rapid scale-up

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Responsibilities:

• Design and implement core backend service features for Nexus
• Provide appropriate test coverage for unit, integration, and performance for your feature ownership area
• Clearly document design choices and operational knowledge to successfully deploy and run service with those features
• Provide appropriate service level logs and metrics to make features operational for cloud service setup
• Provide appropriate alerts, dashboards, and runbooks for production

Requirements:

• At least 6 years of experience in a production environment as an "Arranger" and/or "Builder/Enhancer" of highly scalable distributed systems
• Solid computer science fundamentals in distributed systems concepts including multi-threading and concurrency
• 2+ years experience developing customer facing APIs and Frameworks
• Experience writing concurrent code in production with languages like Go or Java or other applicable languages with skill level as "high end of Intermediate" and/or "Advanced" or "Expert" levels

Compensation:

• The estimated pay range for this role is $176,000 - $237,600
• Additionally, this role is eligible to participate in Temporal's equity plan

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