At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff , payroll, health insurance, 401(k)s, and HR , so owners can focus on their craft and their customers.

With teams in Denver, San Francisco, and New York, we support more than 400,000 small businesses nationwide and are building a workplace that reflects the people we serve. All full-time employees receive competitive base pay, benefits, and equity (RSUs) , because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy.

AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.

About the Role

As the Principal Engineer for the Contractors team, you will play a pivotal role in shaping the future of Gusto’s flagship Payroll product,one of the core pillars of our platform. You will design, build, and scale the capabilities that power essential experiences for our customers. Working collaboratively with product managers, designers, and other engineers, you will deliver impactful features that meet customer needs and elevate user experiences.

As a Gusto Engineer at this level, you’ll guide projects end-to-end,shaping initial feature specifications, driving architectural decisions to bring systems closer to their desired end states, executing on complex initiatives, and maintaining code that powers mission-critical functionality. Beyond technical contributions, you’ll help define and contribute to the broader strategy of how Gusto continues to build and scale its Payroll product.

If you’re excited about solving complex, high-impact problems and want to contribute to a product that touches the lives of millions, we’d love to have you on board!

About the Team

Payroll serves as Gusto's core product, used by each of our 500,000+ customers and contributing significantly to our annual recurring revenue of over $800,000,000. Although we hold the leading market position for SMBs in the US, the market remains highly fragmented, with an estimated 90% still in need of a superior solution. The Contractors team empowers businesses to onboard and pay contractors in 120+ countries with ease and speed. This includes critical functionalities such as payroll setup, preparation, and submission, historical reporting, time tracking, and shift scheduling.

As a key member of this team, you’ll have the opportunity to make a profound impact on both the product and the customers who depend on it daily.

Here’s what you’ll do day-to-day:

• Architect, build, and maintain scalable, secure, and resilient backend systems to support Gusto’s Payroll products.

• Function as a Technical Lead across multiple teams in Pay Group, helping us keep engineers unblocked and deliver high-quality work supporting our long-term goals.

• Help scale one of the largest Ruby/Rails and TypeScript/React applications in the world.

• Collaborate on complex and ambiguous problems with partnerships from Engineering, Product Management, Design, Data Science, Compliance, Operations, and other cross-functional teams.

• Mentor and grow fellow engineers working to create holistic and scalable solutions.

• Drive the product development process from concept to launch, delivering delightful products that make payroll, taxes, and compliance simple and easy.

• Engage in a highly supportive environment working with others to drive productivity and innovation.

Here’s what we're looking for:

• 15+ years of professional software development experience.

• Experience as a tech lead, overseeing and successfully delivering projects that span multiple teams.

• Enthusiasm for a collaborative, test-driven development environment.

• Proven experience building and maintaining resilient backend systems that support customer-facing products, including optimizing existing systems for performance, reliability, and scalability.

• Ability to produce maintainable, structured, and well-documented code.

• Expertise in developing and maintaining RESTful APIs, GraphQL endpoints, and backend services, ensuring seamless integration with frontend systems and third-party services.

• Demonstrated ability in scaling engineering organizations, with a strong focus on individual and team development and mentorship.

• Experience in highly cross-functional environments working on highly complex products.

• Ability to clearly communicate technical complexity and facilitate informed trade-offs among stakeholders.

• Experience using AI tools to build, test, and iterate on products quickly.

• Understanding of how to evaluate AI-driven outputs using clear success criteria.

• A commitment to staying current on emerging backend technologies and AI frameworks and patterns, regularly experimenting with new approaches.

• Willingness to contribute to shared tools or templates that enhance the speed and safety of AI experimentation.

Our cash compensation amount for this role is targeted at $251,000-$309,000 /yr for New York. Final offer amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amounts listed above.

Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees.

Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto.

Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic.

Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.

We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you.

Gusto takes security and protection of your personal information very seriously. Please review our Fraudulent Activity Disclaimer. Personal information collected and processed as part of your Gusto application will be subject to Gusto's Applicant Privacy Notice.

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

We're seeking a Senior Software Engineer, Infrastructure - Platform Compute to join our team.

As a member of our Platform Product Group, you will be responsible for building a trusted, scalable, and compliant platform to operate with speed, efficiency, and quality.

Our teams build and maintain the platforms critical to the existence of Coinbase.

The Compute team builds and operates the Kubernetes platform at Coinbase, which is the primary compute orchestration infrastructure for services at Coinbase.

You will work towards continuously improving the scalability, reliability, efficiency, and operational experience of using Kubernetes at Coinbase, working closely with the Routing, Security, Reliability, and Observability teams (among many others).

Responsibilities:

• Build tooling and automation to make management of our Kubernetes clusters easy and reliable.

• Build tooling and automation to improve the developer and operational experience of working with Kubernetes for all users.

• Operationalize our Kubernetes platform so that it continues to be automated and self-healing to prevent unnecessary oncall burden.

• Develop net-new Kubernetes-related capabilities for service owners at Coinbase (e.g. one off jobs, cron, different deployment strategies, support for EFS, automated right sizing).

• Support our customers as they operate critical services for Coinbase in Kubernetes.

Requirements:

• At least 5+ years of software engineering experience and experience with Kubernetes, or similar compute orchestration systems (e.g. mesos, nomad)

• Strong AWS and/or GCP infrastructure knowledge

• Ability to build backend services in addition to infrastructure

• Ability to hold a high bar for quality, are a self-starter, and have strong interpersonal skills

• Strong problem-solving skills and ability to identify problems, determine their root cause, and see them through to solution

• Ability to balance business needs with technical solutions

• Has experience scaling backend infrastructure

Job #: P74890

*Answers to crypto-related questions may be used to evaluate your on-chain experience.

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-$218,900 USD

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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.

Role Overview

We’re looking for a Full-Stack AI Engineer to join our team, where you’ll build the next generation of tools for developing, evaluating, and training state-of-the-art AI systems. You will own features end to end,from user-facing experiences and APIs to backend services, data models, and infrastructure.

You’ll be at the heart of our applied AI efforts, with a particular focus on human-in-the-loop systems used to generate high-quality training data for Large Language Models (LLMs) and AI agents. This includes building a platform that enables us and our customers to create and evaluate data, as well as systems that leverage LLMs to assist with reviewing, scoring, and improving human submissions.

Your Impact

• Own End-to-End Product Features

Design, build, and ship complete workflows spanning frontend UI, APIs, backend services, databases, and production infrastructure.

• Enable Human-in-the-Loop AI Training

Build systems that allow humans to efficiently create, review, and curate high-quality training and evaluation data used in AI model development.

• Support RLHF and Preference Data Workflows

Design and implement tooling that supports RLHF-style pipelines, including task generation, human review, scoring, aggregation, and dataset versioning.

• Leverage LLMs in the Review Loop

Build systems that use LLMs to assist human reviewers,such as automated checks, critiques, ranking suggestions, or quality signals,while maintaining human oversight.

• Advance AI Evaluation

Design and implement evaluation frameworks and interactive tools for LLMs and AI agents across multiple data modalities (text, images, audio, video).

• Create Intuitive, Reviewer-Focused Interfaces

Build thoughtful, efficient user interfaces (e.g., in React) optimized for high-throughput human review, quality control, and operational workflows.

• Architect Scalable Data & Service Layers

Design APIs, backend services, and data schemas that support large-scale data creation, review, and iteration with strong guarantees around correctness and traceability.

• Solve Ambiguous, Real-World Problems

Translate loosely defined operational and research needs into practical, scalable, end-to-end systems.

• Ensure System Reliability

Participate in on-call rotations to monitor, troubleshoot, and resolve issues across the full stack.

• Elevate the Team

Improve engineering practices, development processes, and documentation. Share knowledge through technical writing and design discussions.

What You Bring

• Bachelor’s degree in Computer Science, Data Engineering, or a related field.

• 2+ years of experience in a software or machine learning engineering role.

• A proactive, product-focused mindset and a high degree of ownership, with a passion for building solutions that empower users.

• Experience using frontend frameworks like React/Redux and backend systems and technologies like Python, Java, GraphQL; familiarity with NodeJS and NestJS is a plus.

• Knowledge of designing and managing scalable database systems, including relational databases (e.g., PostgreSQL, MySQL), NoSQL stores (e.g., MongoDB, Cassandra), and cloud-native solutions (e.g., Google Spanner, AWS DynamoDB).

• Familiarity with cloud infrastructure like GCP (GCS, PubSub) and containerization (Kubernetes) is a plus.

• Excellent communication and collaboration skills.

• High proficiency in leveraging AI tools for daily development (e.g., Cursor, GitHub Copilot).

• Comfort and enthusiasm for working in a fast-paced, agile environment where rapid problem-solving is key.

Bonus Points

• Experience building tools for AI/ML applications, particularly for data annotation, monitoring, or agent evaluation.

• Familiarity with data infrastructure components such as data pipelines, streaming systems, and storage architectures (e.g., Cloud Buckets, Key-Value Stores).

• Previous experience with search engines (e.g., ElasticSearch).

• Experience in optimizing databases for performance (e.g., schema design, indexing, query tuning) and integrating them with broader data workflows.

Engineering at Labelbox

At Labelbox Engineering, we're building a comprehensive platform that powers the future of AI development. Our team combines deep technical expertise with a passion for innovation, working at the intersection of AI infrastructure, data systems, and user experience. We believe in pushing technical boundaries while maintaining high standards of code quality and system reliability. Our engineering culture emphasizes autonomous decision-making, rapid iteration, and collaborative problem-solving. We've cultivated an environment where engineers can take ownership of significant challenges, experiment with cutting-edge technologies, and see their solutions directly impact how leading AI labs and enterprises build the next generation of AI systems.

Our Technology Stack

Our engineering team works with a modern tech stack designed for scalability, performance, and developer efficiency:

• Frontend: React.js with Redux, TypeScript

• Backend: Node.js, TypeScript, Python, some Java & Kotlin

• APIs: GraphQL

• Cloud & Infrastructure: Google Cloud Platform (GCP), Kubernetes

• Databases: MySQL, Spanner, PostgreSQL

• Queueing / Streaming: Kafka, PubSub

Labelbox strives to ensure pay parity across the organization and discuss compensation transparently. The expected annual base salary range for United States-based candidates is below. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.

Annual base salary range $130,000-$200,000 USD

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

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As an Engineering Manager, you will:

Manage the engineering team and drive technical delivery. Design, build, and optimize backend services for advanced AI-driven applications, focusing on AI agents, evaluation tooling, and automation. Comfortable working cross functionally, whether that be internal or external customers. Work across the entire product lifecycle from conceptualization through production. Build features end-to-end, system design, debugging and testing. Deliver experiments at a high velocity and level of quality to engage our customers. Influence the culture, values, and processes of a growing engineering team. Inspire and mentor engineers. Collaborating with cross-functional teams to define, design, and ship new product features and experiences.

Ideally, you'd have: At least 5 years of relevant experience and at least 2 years of experience managing back engineers is preferred. Proven success in leading, managing, and developing high-performing Engineering teams. Expertise in identifying product engagement patterns and trends for large scale consumer products. Track record of shipping high-quality products and features at scale. Desire to work in a very fast-paced environment. Ability to turn business and product ideas into engineering solutions. Excellent problem-solving skills, and be able to work independently or as part of a team.

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This is a resource-constrained optimization problem at its core: validation and deployment consume the same accelerator chips that serve customer traffic , your deploys compete with live user requests for the same hardware. Every model brings different fleet sizes, startup times, and correctness requirements, so the system must adapt continuously. You'll build systems that navigate these constraints , orchestrating validation, scheduling deployments intelligently, and driving down cycle time from merge to production.

Responsibilities:

• Own deployment orchestration that continuously moves validated inference builds into production across GPU, TPU, and Trainium fleets, unattended under normal conditions

• Improve capacity-aware deployment scheduling to maximize deployment throughput against constrained accelerator budgets and variable fleet sizes

• Extend deployment observability , dashboards and tooling that answer "what code is running in production," "where is my commit," and "what validation passed for this deploy"

• Drive down cycle time from code merge to production with pipeline architectures that minimize serial dependencies and maximize parallelism

• Optimize fleet rollout strategies for large-scale deployments across thousands of GPU, TPU, and Trainium chips, minimizing disruption to serving capacity

• Evolve self-service model onboarding so that new models can be added to the continuous deployment pipeline without Launch Engineering involvement

• Partner across the Inference organization with teams owning validation, autoscaling, and model routing to integrate deployment automation with their systems

You May Be a Good Fit If You Have:

• 5+ years of experience building deployment, release, or delivery infrastructure at scale

• Strong software engineering skills with experience designing systems that manage complex state machines and multi-stage pipelines

• Experience with deployment systems where resource constraints shape the design , whether that's fleet capacity, network bandwidth, hardware availability, or coordinated rollout windows

• A track record of building automation that measurably improves deployment velocity and reliability

• Proficiency with Kubernetes-based deployments, rolling update mechanics, and container orchestration

• Comfort working across the stack , from backend services and databases to CLI tools and web UIs

• Strong communication skills and the ability to work closely with oncall engineers, model teams, and infrastructure partners

Strong Candidates May Also Have:

• Experience with ML inference or training infrastructure deployment, particularly across multiple accelerator types (GPU, TPU, Trainium)

• Background in capacity planning or resource-constrained scheduling (e.g., bin-packing, fleet management, job scheduling with hardware affinity)

• Experience with progressive delivery in systems with long validation cycles: canary/soak testing, blue-green deployments, traffic shifting, automated rollback

• Experience at companies with large-scale release engineering challenges (mobile release trains, monorepo deployments, multi-datacenter rollouts)

• Experience with Python and/or Rust in production systems

The annual compensation range for this role is $320,000-$485,000 USD.

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Your focus will be on measurable improvements to developer productivity and software delivery outcomes, not feature checklists. You will spend your time deeply embedded with engineering teams: mapping workflows from code to production, identifying friction, defining metrics, and collaborating on designs that make the “right way” the easy way.

In this role, you will:

Own the product vision, strategy, and roadmap for internal developer experience platforms (e.g., CI/CD, internal developer platform, delivery tooling, golden paths). Partner with the broader Product team on product prioritizations, broad product strategy, and shared goals. Partner with engineering leads in Common Services, IaaS, Security, and Customer Experience to identify and prioritize high-value problems across the software delivery lifecycle. Run structured discovery with internal “customers” (engineers, managers, SREs, TPMs) to understand workflows, constraints, and recurring pain points. Define clear problem statements, success metrics, and hypotheses for DevX initiatives (e.g., lead time for change, deployment frequency, MTTR, onboarding time). Write concise, technically rigorous PRDs and collaborate on design docs that align DevX, platform, and security requirements. Manage and prioritize backlogs across multiple teams, balancing foundational platform investments with near-term developer pain and compliance/operational needs. Partner with engineering to plan increments, sequence rollout, and ensure we ship changes that are observable, operable, and reversible. Drive adoption of DevX tooling through documentation, enablement sessions, and feedback loops; treat communication and change management as part of the product. Instrument and review usage analytics, satisfaction surveys, and delivery metrics to assess impact and guide iteration. Champion a “platform as a product” mindset: opinionated defaults, self-service where possible, and strong API / UX contracts for internal customers.

Who You Are:

• 5+ years of experience in product management for developer platforms, internal tooling, infrastructure, or closely related technical products or equivalent experience as an engineering manager / tech lead / staff+ engineer working deeply with CI/CD, internal platforms, and developer productivity.
• Proven ability to translate ambiguous engineering pain into structured problem statements, requirements, and prioritized roadmaps.
• Demonstrated experience owning roadmaps for internal developer or platform products and delivering measurable improvements to developer workflows (e.g., reduced lead time, increased deployment frequency, improved onboarding time).
• Strong technical fluency with modern software delivery stacks (CI/CD pipelines, version control, artifact management, observability, configuration management, infrastructure-as-code).
• Experience working with and designing APIs and backend services (REST/gRPC), and an understanding of how developer interfaces (CLI, SDKs, IaC, consoles) fit together.
• Hands-on experience collaborating with engineering teams that use Kubernetes or other orchestrators, microservices, and cloud-native architectures.
• Comfort using data and metrics to prioritize work, make tradeoffs, and evaluate outcomes.
• Experience leading cross-functional initiatives across multiple teams or orgs, including driving alignment, decision-making, and follow-through in a fast-paced environment.
• Excellent written and verbal communication skills, including the ability to communicate clearly with highly technical stakeholders and distill complex concepts into concise narratives.

Wondering if you’re a good fit?

We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren’t a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk.

• You love making other engineers’ lives better and can point to specific systems or tools you’ve improved for them.
• You’re curious about how code really gets to production,tooling, process, and culture,and enjoy untangling that complexity.
• You’re an expert in spotting friction in workflows, then designing pragmatic, incremental changes that stick.

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 $206,000 to $303,000. 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).

What We Offer

The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.

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

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Your work will involve collaborating closely with the Terminal backend and infrastructure teams to design and implement scalable payments solutions across Stripe's services. You will also support the development of mobile device testing infrastructure and automation frameworks, and work with engineers, product managers, designers, and stakeholders across the company to deliver complete features.

To succeed in this role, you should have a strong technical background, with 2+ years of experience working with at least one of the following: Java, Kotlin, Swift, Objective-C. Experience building and maintaining backend services or distributed systems is also essential. Additionally, you should have demonstrated ability to work across the stack, from mobile clients to backend infrastructure.

We offer a competitive salary and benefits package, as well as opportunities to work on exciting projects and collaborate with a talented team of engineers and product managers.

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In this role, you will have the opportunity to significantly contribute to the foundation of Auth0's Ecosystem, realising a huge impact for our customers and partners.

As a member of Developer Experience - Extensibility Platform, you will:

• Design, architect, and document large-scale distributed systems.
• Implement features across different layers of the stack using technologies such as Go, MongoDB, PostgreSQL, AWS, Azure, and Kubernetes.
• Lead team discussions, mentor other engineers to become senior and improve the team’s productivity.
• Contribute to improving Auth0's architecture, performance, observability, security controls, and best practices.
• Collaborate with Product and Security teams to define and continually improve Auth0’s Extensibility platform and architecture.
• Participate in our on-call rotations for troubleshooting production issues.

Key Qualifications:

• 5+ years of experience in software development, building distributed systems using Go.
• Strong experience in API-driven applications using REST and/or gRPC.
• Experience with packaging and distributing containerized applications using Docker and Kubernetes.
• Experience with sandboxing untrusted code or tenant isolation (both preferred but not required).
• A high bar for both code quality as well as quality of user experience.
• Proven ability to collaborate with others to drive initiatives forward.

Nice To Haves:

• Solid hands-on experience with Node.js in building scalable backend services

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As a Manager, Software Engineering, you will be responsible for demonstrating end-to-end outcome ownership of a major system within an integrated product, and the team responsible for building and maintaining it. You will contribute as a team lead to the rapid architecting, design, delivery, support, and evolution of next-generation autonomous platforms through their entire product life-cycle.

Key responsibilities include:

• Empathizing with end-users and driving solutions that balance their needs with external constraints, restrictions, and requirements in a multi-stakeholder environment
• Being accountable for software-enabled solutions that are deployed to customers, optimizing for the delivery of value to the end-user
• Collaborating with your Technical Lead to architect scalable software that rapidly delivers capability beyond the scope of current platforms, with a clear path for both architecture and capability evolution over time
• Coordinating your team's roadmap and execution with other teams across Anduril, with the aim of developing components that are reusable across multiple Anduril product lines
• Contributing to the design, implementation, and execution of development processes for the initial delivery and subsequent iteration of vehicle and mission software, including full lifecycle testing, monitoring, and operation
• Managing a 6-18 month roadmap for your team, nested within broader organisational roadmap
• Managing an allocated budget for your team
• Managing programmatic risk for your team, and collaborating with your Technical Lead to manage technical risk, including sound and timely decision making
• Leading by example as a technically competent, trustworthy, and accountable team lead
• Communicating organisational vision, strategy, and direction to your team
• Defining, documenting, gaining consensus for, and communicating appropriate goals and plans for your team, derived from broader organisational vision, strategy, and priorities
• Building your team through mentoring, professional development, career management, and collaboration with Anduril's recruiting and people functions
• Working as a leader of a multi-disciplinary engineering team of 4-10 members, including as a mentor and manager for Engineers from differing backgrounds
• Reporting to a manager who may or may not have a background in software engineering
• Traveling to co-locate with end-users and/or other teams up to 20% of the time

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Key Responsibilities:

• Code in a high-impact, deep-complexity domain, ensuring protected focus time to solve hard problems.
• Collaborate with teammates to share knowledge and learn from each other through collaboration and pairing.
• Navigate ambiguity, taking abstract requirements and refining them into concrete technical roadmaps to improve platform reliability and capabilities.
• Partner with Viaduct tenant teams to support their mission to ship an industry-leading user experience.
• Contribute to the planning process that informs the strategy and roadmap for the Viaduct platform.

Requirements:

• 6+ years of experience in a relevant role, ideally in a team that owned a developer platform.
• Proficiency and interest working cross-team with both product and infrastructure engineers.
• Experience operating critical online backend services.
• Comfort shipping high visibility, complex coding projects.
• Strong preference: expertise with GraphQL, Kotlin, AI-enabled development flows.

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This role reports to the Head of Payments & Compliance Operations and is based in Warsaw, Poland, with a remote work model.

Responsibilities:

• Design, develop, and ship internal systems and automation that eliminate entire categories of operational toil, owning every problem end-to-end from initial diagnosis to permanent fix
• Build and maintain reconciliation infrastructure that keeps Wingspan's ledger, bank records, and platform transaction data in continuous alignment, automatically and at scale
• Develop monitoring and alerting systems that surface funding health issues and payment anomalies in real time, ensuring problems are caught and resolved before they ever reach a customer
• Collaborate with Engineering, Product, and Finance to identify recurring operational patterns and translate them into platform-level improvements that raise the reliability ceiling for the entire system
• Contribute to the growth of our engineering culture by sharing knowledge, participating in code reviews, and proactively identifying opportunities to improve how the team builds, observes, and automates

Qualifications & Requirements:

• 3+ years of experience in a software engineering or engineering-adjacent role with exposure to payment systems, backend services, or data pipelines
• Strong SQL skills, comfortable writing standalone scripts and using AI tools such as Claude Code, Open AI, etc
• Familiarity with RESTful APIs and backend services, with Node.js and TypeScript experience as a plus
• High autonomy and high accountability, you thrive in fast-moving environments and default to action over escalation

Compensation:

We tailor compensation packages based on expertise, years of experience, certifications, and other relevant factors. Our comprehensive benefits and rewards are designed to help you thrive both professionally and personally.

Perks & Benefits:

• Unlimited vacation
• Competitive stock option package
• $300 one time WFH stipend
• Top of the line 14" MacBook Pro
• Travel stipend for team off sites
• Medicover Sports Membership

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This role combines hands-on Flutter development with consulting, systems design, and customer success. You will ensure SpruceID’s mobile technology is deployed securely, effectively, and with lasting real-world impact.

Responsibilities:

• Lead the design and development of mobile applications for state governments and enterprise customers using Flutter
• Work side-by-side with customer delivery leads, backend engineers, and UX designer to ensure successful deployments
• Translate customer and policy requirements into secure mobile architectures and production-ready implementations
• Act as a trusted technical advisor to public-sector partners, guiding them through mobile security, identity standards, and best practices
• Build and ship privacy-preserving mobile applications that meet public-sector requirements for security, accessibility, and compliance
• Integrate mobile applications with backend identity services, cryptographic libraries, and platform APIs
• Contribute to shared Rust or cross-platform libraries that run across backend services, mobile devices, and the browser
• Support customer deployments, debugging, and operational needs in real-world environments
• Represent SpruceID directly with partners during pilots, launches, and ongoing engagements

Qualifications:

• 5+ years of experience shipping production mobile applications
• Strong experience building Flutter applications for iOS and Android
• Proven ability to lead mobile architecture and deliver secure, production systems
• Experience integrating mobile apps with backend services and APIs
• Familiarity with mobile security concepts (secure storage, key management, authentication flows)
• Excellent communication skills and experience working directly with customers, ideally in a consulting or delivery-focused role
• Based in the US and excited to engage directly with state government partners

Bonus Qualifications:

• Experience with digital identity, verifiable credentials, DIDs, or authentication systems
• Background in cryptography, data privacy, or secure mobile systems
• Prior experience working on public-sector or government software projects
• Familiarity with Rust or interoperating with Rust-based mobile libraries
• Experience meeting accessibility standards (WCAG, mobile a11y)

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We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid's network covers 12,000 financial institutions across the US, Canada, UK and Europe.

The AI Applications Team You will have the opportunity to join as one of the founding members of this newly formed team that is dedicated to consolidating and rapidly scaling our successful bets so far, and grow with the team in our quest to accelerate Plaid's transformation into an AI-first company.

In this role you will lead projects that enable and scale our business with our largest AI customers and partners, starting with personal finance use cases and expanding into many others; examples include:

• Develop and evolve the preferred integration pattern for Plaid with AI providers - from API adaptations to building the official Plaid MCP Servers, and beyond

• Redefine how Plaid's consumer link experience embed into conversational interfaces in the most seamless way

• Architect the trust layer for the future of agentic commerce that will become the industry standard

Additionally you will be expected to scale and extend our existing successful bets on AI-powered customer experience; examples include:

• Make the next step-function improvement in our homegrown customer support agent

• Land our multi-turn and multi-agent system that powers a truly delightful experience for our customers; define how to scalably run offline evaluation for complex multi-turn open-ended tasks; research and prototype how Human-In-The-Loop - Reinforcement Learning (RLHF) can power an insights flywheel; pioneer the architecture for customer-specific long-term memory, etc.

• Extend our agentic system to support other critical parts of the customer journey, starting with areas with the highest ROI - top-of-funnel product recommendation, customer onboarding and risk diligence, customer activation and assistance for faster productionization, as well as upselling and cross-selling of Plaid products

You will have a front row seat to all the latest industry developments. Over time, with the skills and experience you develop and hone on this team, you can become an influential voice in defining where AI < Fintech will be heading longer term.

Responsibilities

• Build across the stack. Design, develop, and maintain scalable backend services and APIs, as well as intuitive, high-quality frontend applications that bring those systems to life.

• Work with other AI engineers, software engineers and machine learning engineers to architect, design and implement GenAI-powered products and features

• Collaborate across functions to understand user needs, propose and implement AI-powered solutions where they’re expected to have the highest impact

• Design and execute rapid experiments to push the boundaries on potential business impact from emerging AI capabilities, with a focus on minimal viable testing approaches

• Balance creative exploration of possibilities with rigorous evaluation of technical feasibility, product potential and business impact

Requirements

• Experience building backend services and working with microservices or service-oriented architectures

• Strong working knowledge of HTML, CSS, JavaScript, and modern frontend frameworks or libraries, with comfort building user-facing experiences

• Hands-on experience working with LLMs to build products and shipping them to product with iterating with real user feedback - including but not limited to:

• Prompt engineering

• Fine-tuning

• Retrieval augmented generation (RAG)

• Semantic search

• Vector database and embedding models

• Agent orchestration framework

• Evaluation and monitoring framework of open-ended tasks

• Streaming and SSE

• Common UX and design patterns for GenAI-powered products

• Strong debugging and monitoring experience for production systems

• Ability to deeply understand customer and user needs through user research and rapid experimentation - be your own technical PM

• Ability to balance divergent thinking (exploring possibilities) with convergent thinking (evaluating feasibility), which is critical for driving 0 ->1 projects

• Extremely curious and passionate about working in GenAI applications space

Nice-to-Haves

• Experience training and/or serving ML models in production, or fine-tuning LLMs for domain-specific use cases

• Comfortable operating in privacy/PII-sensitive environments and applying compliance mitigations

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As a Software Engineer, you will design and build the systems that power how millions of people connect to their finances. You will work across the stack, from reliable backend services and APIs to intuitive applications that bring those systems to life. You will collaborate with engineers, product managers, and designers to ship products that make financial services more accessible and transparent.

Responsibilities:

• System Design & Development: Build and maintain scalable, reliable backend or fullstack systems and APIs that power Plaid's products.
• Collaboration: Work closely with product managers, designers, and other engineers to define and deliver features that solve real customer problems.
• Code Quality: Write clean, efficient, and well-tested code. Participate in reviews to maintain high engineering standards.
• Testing & Debugging: Build automated tests, monitor system performance, and troubleshoot issues in production environments.
• Continuous Improvement: Contribute to technical design discussions, share best practices, and help improve how we build at Plaid.

Qualifications:

• 1-4 years of software engineering experience (post-internship)
• Proven ability to ship reliable systems or features at scale
• Strong problem-solving skills. You turn ideas into practical, maintainable solutions.
• High ownership. You are excited to roll up your sleeves and figure things out that don’t have precedent at Plaid.
• Collaborative mindset. You thrive in a fast-paced environment and enjoy working with others to deliver results.
• Growth oriented. You seek feedback, learn quickly, and take pride in improving your craft.

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Responsibilities:

• System Design & Development: Build and maintain scalable, reliable backend or fullstack systems and APIs that power Plaid's products.
• Collaboration: Work closely with product managers, designers, and other engineers to define and deliver features that solve real customer problems.
• Code Quality: Write clean, efficient, and well-tested code. Participate in reviews to maintain high engineering standards.
• Testing & Debugging: Build automated tests, monitor system performance, and troubleshoot issues in production environments.
• Continuous Improvement: Contribute to technical design discussions, share best practices, and help improve how we build at Plaid.

Qualifications:

• 1-4 years of software engineering experience (post-internship).
• Proven ability to ship reliable systems or features at scale.
• Strong problem-solving skills. You turn ideas into practical, maintainable solutions.
• High ownership. You are excited to roll up your sleeves and figure things out that don’t have precedent at Plaid.
• Collaborative mindset. You thrive in a fast-paced environment and enjoy working with others to deliver results.
• Growth oriented. You seek feedback, learn quickly, and take pride in improving your craft.

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Responsibilities:

• System Design & Development: Build and maintain scalable, reliable backend or fullstack systems and APIs that power Plaid’s products.
• Collaboration: Work closely with product managers, designers, and other engineers to define and deliver features that solve real customer problems.
• Code Quality: Write clean, efficient, and well-tested code. Participate in reviews to maintain high engineering standards.
• Testing & Debugging: Build automated tests, monitor system performance, and troubleshoot issues in production environments.
• Continuous Improvement: Contribute to technical design discussions, share best practices, and help improve how we build at Plaid.

Qualifications:

• 1-4 years of software engineering experience (post-internship).
• Proven ability to ship reliable systems or features at scale.
• Strong problem-solving skills. You turn ideas into practical, maintainable solutions.
• High ownership. You are excited to roll up your sleeves and figure things out that don’t have precedent at Plaid.
• Collaborative mindset. You thrive in a fast-paced environment and enjoy working with others to deliver results.
• Growth oriented. You seek feedback, learn quickly, and take pride in improving your craft.

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On this team, you will build and operate the ML infrastructure and product services that enable trust and intelligence across Plaid's network. You'll own feature engineering, offline training and batch scoring, online feature serving, and real-time inference so model outputs directly power partner-facing fraud & trust products and bank intelligence features.

Responsibilities

• Embed model inference into Network Enablement product flows and decision logic (APIs, feature flags, backend flows).
• Define and instrument product + ML success metrics (fraud reduction, retention lift, false positives, downstream impact).
• Design and run experiments and rollout plans (backtesting, shadow scoring, A/B tests, feature-flagged releases) to validate product hypotheses.
• Build and operate offline training pipelines and production batch scoring for bank intelligence products.
• Ship and maintain online feature serving and low-latency model inference endpoints for real-time partner/bank scoring.
• Implement model CI/CD, model/version registry, and safe rollout/rollback strategies.
• Monitor model/data health: drift/regression detection, model-quality dashboards, alerts, and SLOs targeted to partner product needs.
• Ensure offline and online parity, data lineage, and automated validation / data contracts to reduce regressions.
• Optimize inference performance and cost for real-time scoring (batching, caching, runtime selection).
• Ensure fairness, explainability and PII-aware handling for partner-facing ML features; maintain auditability for compliance.
• Partner with platform and cross-functional teams to scale the ML/data foundation (graph features, sequence embeddings, unified pipelines).
• Mentor engineers and document team standards for ML productization and operations.

Qualifications

• Must-haves:
• Strong software engineering skills including systems design, APIs, and building reliable backend services (Go or Python preferred).
• Production experience with batch and streaming data pipelines and orchestration tools such as Airflow or Spark.
• Experience building or operating real-time scoring and online feature-serving systems, including feature stores and low-latency model inference.
• Experience integrating model outputs into product flows (APIs, feature flags) and measuring impact through experiments and product metrics.
• Experience with model lifecycle and operations: model registries, CI/CD for models, reproducible training, offline & online parity, monitoring and incident response.
• Nice to have:
• Experience in fraud, risk, or marketing intelligence domains.
• Experience with feature-store products (Tecton / Chronon / Feast / internal) and unified pipelines.
• Experience with graph frameworks, graph feature engineering, or sequence embeddings.
• Experience optimizing inference at scale (Triton/ONNX/quantization, batching, caching).

Additional Information

Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable.

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Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use.

Responsibilities

• Build across the stack. Design, develop, and maintain scalable backend services and APIs, as well as intuitive, high-quality frontend applications that bring those systems to life.
• Work with other AI engineers, software engineers and machine learning engineers to architect, design and implement GenAI-powered products and features
• Collaborate across functions to understand user needs, propose and implement AI-powered solutions where they’re expected to have the highest impact
• Design and execute rapid experiments to push the boundaries on potential business impact from emerging AI capabilities, with a focus on minimal viable testing approaches
• Balance creative exploration of possibilities with rigorous evaluation of technical feasibility, product potential and business impact

Qualifications

• Experience building backend services and working with microservices or service-oriented architectures
• Strong working knowledge of HTML, CSS, JavaScript, and modern frontend frameworks or libraries, with comfort building user-facing experiences
• Strong software engineering fundamentals, including system design and API development
• Hands-on experience building and shipping LLM-powered products, iterating with real user feedback
• Practical experience with prompt engineering, fine-tuning, RAG, semantic search (vector databases and embeddings), agent orchestration frameworks, and evaluation/monitoring of open-ended tasks
• Experience building GenAI-powered product experiences, including streaming/SSE and common UX patterns
• Strong debugging and production monitoring experience
• Ability to deeply understand customer needs through user research and rapid experimentation; comfortable operating as a technical PM when needed
• Ability to balance divergent exploration with pragmatic execution, especially in 0 to 1 environments
• Deep curiosity and passion for building GenAI applications

Nice to Have

• Experience training and deploying ML models in production, including fine-tuning LLMs for domain-specific use cases
• Comfortable operating in privacy- and PII-sensitive environments, with experience applying appropriate compliance and data protection controls

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As a Fullstack Software Engineer, you will design and build the systems and experiences that power how millions of people connect to their finances. You will work across the stack, building scalable backend services and APIs while also crafting intuitive, high-quality frontend experiences that bring those systems to life.

This role is ideal for engineers who enjoy switching between backend problem-solving and frontend user experience work, and who are excited to grow their impact across both. You will collaborate closely with product managers, designers, and other engineers to ship products that are reliable, secure, and delightful to use.

At Plaid, engineers take ownership early, contribute to architectural decisions, and see their work reach millions of users.

Responsibilities

• Build across the stack. Design, develop, and maintain scalable backend services and APIs, as well as intuitive, high-quality frontend applications that bring those systems to life.

• Collaborate cross-functionally. Partner closely with product managers and designers to define requirements and deliver features that solve real customer problems.

• Maintain high code quality. Write clean, maintainable, and well-tested code, and participate in code reviews and technical design discussions.

• Test and debug. Build automated tests, monitor system performance, and troubleshoot issues in production environments.

• Contribute to system design. Engage in hands-on coding and architectural decisions to ensure reliability, security, and scalability.

• Grow the team. Support a strong engineering culture through mentorship, thoughtful reviews, and shared ownership of technical standards.

Qualifications

• 5+ years of software engineering experience with a track record of shipping production systems or features

• Experience building backend services using relational databases such as MySQL, and working with microservices or service-oriented architectures

• Strong working knowledge of HTML, CSS, JavaScript, and modern frontend frameworks or libraries, with comfort building user-facing experiences

• Solid system design, coding, and testing skills across both frontend and backend

• Proven ability to collaborate effectively with product, design, and other engineering partners

• Experience mentoring or supporting the growth of other engineers through reviews, guidance, or leadership

• Comfortable working across product, operations, and data teams to deliver end-to-end solutions

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As a Fullstack Software Engineer, you will design and build the systems and experiences that power how millions of people connect to their finances. You will work across the stack, building scalable backend services and APIs while also crafting intuitive, high-quality frontend experiences that bring those systems to life.

This role is ideal for engineers who enjoy switching between backend problem-solving and frontend user experience work, and who are excited to grow their impact across both. You will collaborate closely with product managers, designers, and other engineers to ship products that are reliable, secure, and delightful to use.

Responsibilities

• Build across the stack. Design, develop, and maintain scalable backend services and APIs, as well as intuitive, high-quality frontend applications that bring those systems to life.

• Collaborate cross-functionally. Partner closely with product managers and designers to define requirements and deliver features that solve real customer problems.

• Maintain high code quality. Write clean, maintainable, and well-tested code, and participate in code reviews and technical design discussions.

• Test and debug. Build automated tests, monitor system performance, and troubleshoot issues in production environments.

• Contribute to system design. Engage in hands-on coding and architectural decisions to ensure reliability, security, and scalability.

• Grow the team. Support a strong engineering culture through mentorship, thoughtful reviews, and shared ownership of technical standards.

Qualifications

• 5+ years of software engineering experience with a track record of shipping production systems or features.

• Experience building backend services using relational databases such as MySQL, and working with microservices or service-oriented architectures.

• Strong working knowledge of HTML, CSS, JavaScript, and modern frontend frameworks or libraries, with comfort building user-facing experiences.

• Solid system design, coding, and testing skills across both frontend and backend.

• Proven ability to collaborate effectively with product, design, and other engineering partners.

• Experience mentoring or supporting the growth of other engineers through reviews, guidance, or leadership.

• Comfortable working across product, operations, and data teams to deliver end-to-end solutions.

Additional Information

Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable.

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This role is ideal for engineers who enjoy switching between backend problem-solving and frontend user experience work, and who are excited to grow their impact across both. You will collaborate closely with product managers, designers, and other engineers to ship products that are reliable, secure, and delightful to use.

Responsibilities

• Build across the stack. Design, develop, and maintain scalable backend services and APIs, as well as intuitive, high-quality frontend applications that bring those systems to life.
• Collaborate cross-functionally. Partner closely with product managers and designers to define requirements and deliver features that solve real customer problems.
• Maintain high code quality. Write clean, maintainable, and well-tested code, and participate in code reviews and technical design discussions.
• Test and debug. Build automated tests, monitor system performance, and troubleshoot issues in production environments.
• Contribute to system design. Engage in hands-on coding and architectural decisions to ensure reliability, security, and scalability.
• Grow the team. Support a strong engineering culture through mentorship, thoughtful reviews, and shared ownership of technical standards.

Qualifications

• 5+ years of software engineering experience with a track record of shipping production systems or features.
• Experience building backend services using relational databases such as MySQL, and working with microservices or service-oriented architectures.
• Strong working knowledge of HTML, CSS, JavaScript, and modern frontend frameworks or libraries, with comfort building user-facing experiences.
• Solid system design, coding, and testing skills across both frontend and backend.
• Proven ability to collaborate effectively with product, design, and other engineering partners.
• Experience mentoring or supporting the growth of other engineers through reviews, guidance, or leadership.
• Comfortable working across product, operations, and data teams to deliver end-to-end solutions.

Additional Information

Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable.

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This is a backend engineering role at its core, we're looking for a strong backend engineer who knows how to work effectively with AI tools, understands where AI can accelerate development and product capabilities, and is comfortable integrating AI-powered features into production backend systems.

Given the global nature of our business and the collaborative nature of our team, fluency in English is required for daily work with engineering, product, and business teams across multiple regions. Fluency in Spanish or Portuguese is equally required , our LATAM teams, customers, and operational partners work in both languages, and you will too.

Responsibilities

• Backend Engineering - Design, build, and maintain scalable, reliable backend services that process financial transactions and serve Jeeves customers across 20+ countries.
• Write clean, testable, production-quality code in Go, Python, or Node.js/TypeScript; participate actively in design and code reviews.
• Build and consume RESTful and GraphQL APIs; design inter-service communication using gRPC, message queues, and event-driven architectures.
• Design and optimize relational and non-relational database schemas (PostgreSQL, MongoDB, Redis) for correctness, performance, and scale.
• Own backend features end-to-end , from scoping and technical design through deployment, monitoring, and iteration.
• Implement security best practices: authentication, authorization, input validation, and data protection across distributed services.

AI-Assisted Feature Development

• Integrate LLM API calls (e.g., OpenAI, Anthropic) into backend services as product features , such as spend categorization, document parsing, or natural language workflows , ensuring those integrations are reliable, observable, and cost-efficient.
• Build backend pipelines that consume AI-generated outputs safely: validate structured outputs, handle fallback scenarios, and design graceful degradation when AI services are unavailable or return low-confidence results.
• Collaborate with AI and data science teams to integrate model outputs into backend APIs , bridging experimental AI work and production systems.
• Use AI coding tools (GitHub Copilot, Claude, Cursor, etc.) fluently as part of your everyday development workflow.

Reliability & Operations

• Instrument services with structured logging, distributed tracing, and metrics for full operational visibility.
• Participate in on-call rotation; respond to production incidents and contribute to post-incident reviews.
• Contribute to CI/CD pipeline improvements, testing infrastructure, and deployment practices.

Cross-Regional Collaboration

• Work closely with engineering, product, compliance, and data teams across multiple time zones and regions , communicating in both English and Spanish or Portuguese as the situation requires.
• Contribute to a globally distributed engineering culture through thorough documentation, async design reviews, and thoughtful pull request feedback.
• Bring your regional perspective to product and engineering conversations , our LATAM customers have specific needs, and engineers who understand those markets make our product better.

Requirements

• 5+ years of professional backend engineering experience building and operating production systems.
• Fluent in English , professional fluency required for daily work with global teams in written and spoken contexts.
• Fluent in Spanish or Portuguese , required for collaboration with LATAM teammates, customers, and operational partners.
• Strong proficiency in at least one backend language: Go, Python, or Node.js/TypeScript.
• Experience designing and building RESTful APIs, microservices, and event-driven backend systems.
• Solid understanding of relational databases (PostgreSQL preferred): schema design, query optimization, and data modeling.
• Experience with cloud infrastructure (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and CI/CD pipelines.
• Demonstrated ability to integrate third-party APIs reliably in production , including error handling, retry logic, and observability.
• Experience working on globally distributed teams across time zones and regions.
• Comfortable using AI tools as part of everyday engineering work , integrating LLM API outputs into backend services and using AI coding assistants fluently.

Preferred Qualifications

• Experience in fintech, financial services, payments, or a regulated industry , familiarity with ledger systems, payment rails, or financial compliance (KYC/AML, PCI-DSS) is a strong plus.
• Prior experience at a startup or high-growth scale-up, comfortable building in ambiguity without heavy process support.
• Experience with multi-currency systems or cross-border payment processing.
• Familiarity with message queue systems (Kafka, RabbitMQ) and event-driven architecture.
• Global work experience , prior roles at companies operating across multiple countries and regulatory environments.
• Fluency in both Spanish and Portuguese.

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We are seeking a highly skilled Technical Support Engineer to provide high-quality support and service to our Customer base and Internal teams.

As a Technical Support Engineer, you will play a critical role in providing advanced support directly to our Customers, and collaborating with engineering and Sales teams to enhance our products and services.

Responsibilities:

• Resolve technical issues and provide advanced support directly to customers, including support for fal's platform (APIs, UI issues, and troubleshooting errors).
• Support users across multiple products via email, chat, and Slack.
• Troubleshoot integration issues, including authentication problems (OAuth, API keys), HTTP errors, malformed requests, rate limits, and API misconfigurations.
• Analyze API logs, error messages, and request/response payloads to identify root causes.
• Manage support tickets by responding within SLA timeframes, escalating complex issues appropriately, and maintaining detailed case records.
• Reproduce, escalate, and document bugs or edge cases in collaboration with engineering.
• Provide structured feedback to engineering teams regarding platform reliability, performance bottlenecks, and customer-reported issues, serving as an internal advocate for customer pain points and product improvement.
• Assist with testing and validation of new features, releases, and infrastructure changes before production deployment.
• Write and maintain technical content, including use case guides, how-to examples, FAQs, solutions for common errors, and documentation of issues and resolutions for the knowledge base.
• Improve developer documentation to make integration as self-serve as possible.

What You Bring:

• Strong analytical thinking, technical problem-solving skills, and a systematic approach to troubleshooting technical issues across web platforms, cloud environments, and enterprise software.
• Experience supporting and troubleshooting REST APIs and backend services, including working directly with REST APIs and authentication flows (OAuth2, API keys).
• Experience using monitoring, logging, and observability tools to support production systems.
• Familiarity with AI platforms, machine learning systems, or data-intensive applications.
• Excellent written and verbal communication and interpersonal skills, with the ability to clearly and empathetically explain complex technical concepts to both technical and non-technical stakeholders/users in English.
• Experience providing technical support with a customer-first mindset, demonstrating patience, empathy, and a focus on user success.
• Strong technical writing abilities with experience creating and maintaining user guides, FAQs, and troubleshooting documentation.
• Demonstrated ability to prioritize effectively, respond quickly to critical issues with a sense of urgency, and maintain composure under pressure.
• Ability to work independently and collaboratively, handling multiple concurrent support cases while maintaining quality and meeting response time commitments.
• Self-starter who can identify process improvements and proactively address recurring issues (Initiative).
• Familiarity with tools such as Slack, Linear, Notion, and GitHub.
• Familiarity with authentication protocols like REST APIs, OAuth2, JWT, and API key auth.

Why fal:

At fal, you'll join a rapidly scaling company defining how AI moves from experimentation to production. This is an opportunity to shape the future of enterprise AI adoption while building deep relationships with customers who are transforming their industries through intelligent technology.

What we offer at fal:

• Interesting and challenging work
• Competitive salary and equity
• A lot of learning and growth opportunities
• Regular team events and offsites

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Our mission is to empower plaintiff law firms with AI-driven solutions that elevate how they operate, serve clients, and grow.

We're looking for a talented Software Engineer to join our team.

As a Software Engineer at Eve, you will:

• Develop Core Software: Build, ship, and maintain features that make up Eve's core product.
• Drive Product Direction: Collaborate with the team to understand user needs, define new features, and decide on implementation strategies.
• Full-Stack Development: Own and scale the user-facing experience of Eve products, turning powerful capabilities into intuitive, magical interfaces. Collaborate with backend, ML, design, and product teams to bring complex features to life in a seamless way.
• AI Integration: Design and build AI-native solutions that power and streamline every aspect of law firm operations, creating tools that transform how legal work gets done.
• Rapid Deployment: Embrace a fast shipping cadence, continuously iterating based on user feedback.
• Work with Customers: You work with customers directly to solve their problems - innovate and iterate.

We're looking for someone with a proven track record of building incredible products and thriving in environments where you're the primary decision-maker for your projects.

You should be comfortable working across the entire stack, from front-end user interfaces to back-end services and AI integrations. You consider your skills split almost evenly across frontend and backend work.

Experience or strong interest in building with AI and a desire to gain more experience creating production applications using AI is a plus.

You value shipping quickly and iterating based on real-world usage, and you enjoy working collaboratively but are also highly effective when working independently.

Benefits:

• Competitive Salary & Equity
• 401(k) Program
• Health, Dental, Vision and Life Insurance
• Short Term and Long Term Disability
• Commuter Benefits
• Autonomous Work Environment
• In-Office Setup Reimbursement
• Flexible Time Off (FTO) + Holidays
• Quarterly Team Gatherings
• In-office Perks

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As a key member of our team, you will work with Cresta product and engineering teams to build and continuously improve the Cresta platform and new product requirements. You will stay closely with customers and their requirements, analyze the technical tradeoffs, and own the customer-facing deliverables.

You will demonstrate engineering best practices in deliverables and daily work, upholding others to the same high standards. You will take technical ownership in a substantial part of the Cresta authentication stack and contribute to building the best-in-class company in addition to building the best-in-class product.

Your responsibilities will include full-stack support for Cresta's 1st-party and 3rd-party authentication systems (frontend and backend), expanding Cresta's BYOID (Bring Your Own Identity) repertoire, securing sign-in (password authentication, multi-factor authentication, etc), and application access.

You will also build customized, streamlined, and frictionless customer-specific auto-login systems, improving and migrating from legacy authentication systems to more modern industry-based, standardized, and secure systems.

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, and PTO: 3 weeks in Canada.

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The crypto industry is one of the most exciting industries in tech today, and it is constantly changing! At Anchorage Digital, we are building foundational technology to help the crypto industry evolve in a safe, regulated and highly secure manner, which we believe is essential for maximizing the potential of this exciting industry.

We have created the Factors of Growth & Impact to help Villagers better measure impact and articulate coaching, feedback, and the rich and rewarding learning that happens while exploring, developing, and mastering the capabilities and contributions within and outside of the Tech Lead role:

Technical Skills:

• Participate in task breakdown, estimation, design, implementation and maintenance of Wealth systems.
• Writes, reviews, tests, and documents code according to Anchorage’s engineering and team standards, and practices.
• Dive deep into complex, ambiguous problems, formulate elegant and practical solutions.
• Drive down technical complexity, refactor existing systems safely. Leave the codebase better than you found it.
• Review other developer’s code to ensure consistency, reduce errors and share context across the Wealth engineering team.

Complexity and Impact of Work:

• Lead large, strategic, ambiguous and complex projects that can be broken down into smaller achievable pieces.
• Help define the technical strategy of the team.
• Find the right balance between progress (i.e. shipping quickly) and perfection (i.e. measuring twice).
• Foster an efficient deterministic testing culture, with an emphasis on minimizing tech debt.

Organizational Knowledge:

• Ensure that knowledge is shared among the team and does not position themselves or others as a single point of failure.
• Collaborate cross-functionally with the Wealth team and other teams at Anchorage Digital.

Communication and Influence:

• Mentor and guide team members within their area of specialization or domain, and help others understand the strategic goals and how their work relates to these.
• Able to communicate with different people, with different contexts and expertise.
• Influence architecture/product roadmap - have a seat at the table.

You may be a fit for this role if you have:

• Have 8+ years of professional experience building backend services.
• Have real world experience building complex distributed systems.
• Have led large scale, complicated projects on an architectural level.
• Enjoy building resilient services that can handle different volumes of work without manual intervention.
• Prioritize end-user experience and business value over “cool tech”.
• Genuinely care about code quality and test infrastructure.
• Have developed “computer science fundamentals”, i.e. concurrency, algorithms, and data structures (Formal CS degree NOT required).
• You have real world experience building complex distributed systems.
• Believe software engineering is a team activity and enjoy collaborating every single day, learning from and mentoring others.

Although not a requirement, bonus points if:

• Have GraphQL API design and implementation experience.
• Have gRPC API design and implementation experience.
• Have a background in the finance industry, specifically the Wealth industry.

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We are building infrastructure that enables the world's largest financial institutions,banks, broker-dealers, fintechs, and payments companies,to offer digital asset services to their end clients. Think banking-as-a-service, but for crypto custody, trading, staking, and more.

This is an opportunity to grow as an engineer while contributing to a platform that will power the next generation of institutional digital asset adoption. You'll work at the intersection of cutting-edge crypto technology and the rigorous standards required by regulated financial services.

As an engineer on this team, you will contribute to the technical direction of our infrastructure services platform, collaborate with experienced engineers, and help build critical systems. You'll own features from development through deployment and deepen your expertise in financial infrastructure.

Technical Skills:

• Develop and maintain infrastructure that powers digital asset custody, trading, staking, and settlement for enterprise financial institutions
• Contribute to virtual accounting layers, API integrations, and multi-tenant platform architectures with guidance from senior engineers
• Write clear, concise, tested code and participate in code reviews to improve engineering practices
• Build understanding of security, reliability, and testing best practices in a regulated environment

Complexity and Impact of Work:

• Take ownership of the full lifecycle of features,from development through deployment,with increasing autonomy over time
• Apply problem-solving skills to troubleshoot issues, document technical improvements, and contribute to solutions
• Contribute to cross-functional projects and collaborate with adjacent teams to deliver on platform goals
• Participate in on-call rotation to provide product support for the software and infrastructure the team owns

Organizational Knowledge:

• Understand how Anchorage's company priorities relate to your area of work and clearly communicate the 'why' behind the work
• Work closely with compliance, legal, and security teams to understand regulatory requirements affecting the platform
• Participate in the hiring process through referrals, conducting interviews, or attending recruiting events

Communication and Influence:

• Communicate clearly and proactively share updates that impact colleagues, managers, and leads
• Contribute actively to team discussions and problem-solving efforts
• Collaborate with your team and adjacent teams to solve problems, and assist or teach other team members when possible

You may be a fit for this role if you have:

• 2-5 years of professional experience building backend services and distributed systems
• Experience contributing to customer-facing APIs or multi-tenant platform architectures
• Familiarity with cloud-native microservices (we use GCP, but experience with other cloud providers is sufficient)
• A track record of writing automated tests alongside your features and supporting production systems
• Experience participating in on-call support and incident response for production systems
• Strong computer science fundamentals (algorithms, data structures, systems design),formal CS degree not required
• A genuine interest in code quality, infrastructure reliability, and security
• The ability to prioritize end-user experience and business value

Although not a requirement, bonus points if:

• Professional experience with C++, Go, or Rust
• Experience with Kubernetes and container orchestration
• Exposure to ledger systems, virtual accounting layers, or custody infrastructure
• Background in financial services, fintech, or banking-as-a-service platforms
• Experience with system security (authentication, authorization, identity management)
• Familiarity with regulatory requirements for financial institutions (SOC 2, bank examinations, etc.)
• Interest in or exposure to the cryptocurrency or digital assets industry

Additional Information About Anchorage Digital:

Who we are The Anchorage Village, what we call our team, brings together the brightest minds from platform security, financial services, and distributed ledger technology to provide the building blocks that empower institutions to safely participate in the evolving digital asset ecosystem.

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The ideal candidate will have 8+ years of professional experience building backend services, have designed, delivered and maintained customer facing APIs, and have experience designing, building and deploying cloud native micro-services. They will be passionate about building automated tests alongside their features, enjoy building services from scratch and supporting them over a meaningful period of time, and have a genuine interest and pride in code quality and infrastructure.

As a team, we are constantly striving to innovate in order to build the future of cryptocurrency and the digital asset ecosystem. We have created the Factors of Growth & Impact to help Villagers better measure impact and articulate coaching, feedback, and the rich and rewarding learning that happens while exploring, developing, and mastering the capabilities and contributions within and outside of the Tech Lead role.

Responsibilities: Create and maintain shared services and libraries that are used across our entire services. Review code across the engineering organization while actively participating in product development. Find simple solutions to complex software problems. Efficiently implement high quality code (functional, performant, clear, concise and well tested). Production support. Participate in the on-call rotation and troubleshoot, mitigate and learn from production incidents to reduce their incidence. Drive down technical complexity, refactor existing systems safely. Leave the codebase better than you found it.

Complexity and Impact of Work: Lead large, strategic, ambiguous and complex projects that can be broken down into smaller achievable pieces. Find the right balance between progress (i.e. shipping quickly) and perfection (i.e. measuring twice). Foster an efficient deterministic testing culture, with an emphasis on controlling tech debt. Articulate effectively different options considered in projects, analyzing trade-offs and recommending priorities. Help define the technical strategy of the team.

Organizational Knowledge: Ensure that knowledge is shared among the team and does not position themselves or others as a single point of failure. Collaborate cross-functionally with the Core Experience team and other teams at Anchorage Digital. Help scale the team.

Communication and Influence: Mentor and guide multiple engineers on the team within their area of specialization or domain, and help others understand the strategic goals and how their work relates to these. Able to communicate with different people, with different contexts and expertise. Influence architecture/product roadmap - have a seat at the table.

You may be a fit for this role, if you: Have 8+ years of professional experience building backend services. Have designed, delivered and maintained customer facing APIs. Have experience designing, building and deploying cloud native micro-services. Are passionate about building automated tests alongside your features. Enjoy building services from scratch and supporting them over a meaningful period of time. Have a genuine interest and pride in code quality and infrastructure. Have experience performing on-call support for production systems. Prioritize end-user experience and business value over “cool tech.” Developed “computer science fundamentals”, i.e. algorithms, data structures and operating systems (Formal CS degree NOT required). Have real world experience building complex distributed systems. Believe software engineering is a team activity and enjoy collaborating every single day, learning from and mentoring others. You enjoy working closely with the product team to ship the best solution in a reasonable amount of time.

Although not a requirement, bonus points if you: Have professional experience with C++ or Go, Kubernetes, GraphQL API design and implementation and/or gRPC API design and implementation. Have experience with system security (e.g. authentication, authorization, identity, API keys). Have a background in the finance or cryptocurrency industries. You were emotionally moved by the soundtrack to Hamilton, which chronicles the founding of a new financial system :)

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Responsibilities:

• Building and iterating on fee explainability experiences that empower users to find answers independently
• Developing agentic systems with strong accuracy guarantees,building evaluation frameworks and ensuring reliability at scale
• Creating performant data aggregations and optimizations to handle complex pricing scenarios
• Working across the stack: backend services, frontend experiences, data pipelines, and AI agents
• Collaborating with stakeholders across engineering, product, operations, finance, accounting, and sales
• Independently identifying solutions to user pain points and executing against roadmaps
• Mentoring junior engineers and raising the technical bar for the team

Requirements:

• 5+ years of professional experience in a software development role
• Strong coding skills in any programming language
• Ability to drive and lead large-scale initiatives that solve critical business challenges
• Strong collaboration skills across teams and workstreams
• Track record of developing and delivering high-quality software using industry best practices
• Ability to make effective tradeoffs that balance business priorities, user experience, and technical sustainability

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Replit is seeking a skilled Software Engineer to join our team. As a Software Engineer at Replit, you will design and develop collaborative software applications that enable humans and AI agents to work together on shared shells, filesystems, and state.

Responsibilities:

• Design a collaborative 'Multiplayer Computer' that lets humans and AI agents work together on shared shells, filesystems, and state—conflict-free and in real time
• Build high-throughput backend applications and services
• Create tooling that helps AI systems minimize mistakes through static analysis and deterministic techniques
• Develop infrastructure (frontend & backend) that empowers product engineers to rapidly ship delightful user experiences
• Support sophisticated user interfaces, including terminals, code editors, window-management systems, and innovative experiences that require both creativity and algorithmic skill

Requirements:

• Bachelor of Computer Science or equivalent and 4 years of experience as a Software Engineer
• Must also possess 2 years experience building frontend; 2 years experience building backend; 2 years experience in at least one of the following: Developing rich and complex browser-based applications, Building high-throughput and novel backend services, Creating frontend infrastructure used by 100+ engineers, or Shipping your own products and engaging directly with users
• 2 years of experience with Typescript; Must be able to successfully complete competency-based interviews

Benefits:

• Competitive Salary & Equity
• 401(k) Program with a 4% match
• Health, Dental, Vision and Life Insurance
• Short Term and Long Term Disability
• Paid Parental, Medical, Caregiver Leave
• Commuter Benefits
• Monthly Wellness Stipend
• Autonomous Work Environment
• In Office Set-Up Reimbursement
• Flexible Time Off (FTO) + Holidays
• Quarterly Team Gatherings
• In Office Amenities

Want to learn more about what we are up to?

• Meet the Replit Agent
• Replit: Make an app for that
• Replit Blog
• Amjad TED Talk

Interviewing + Culture at Replit

• Operating Principles
• Reasons not to work at Replit

To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

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In this role you will build powerful tools that help product engineers iterate rapidly on the Agent experience and directly enhance the core Agent itself. You’ll bridge the gap between the AI team (working on the core Agent logic) and the UX team (crafting delightful Agent experiences), enabling both groups to excel within their specialties.

This role blends systems engineering, developer experience and product engineering. We tackle complex challenges across the full stack, from browser-based interfaces to high-performance backends to Linux systems engineering. We’re looking for engineers who have a keen sense of the product experience and how to power it with performant systems.

Responsibilities

• Build high-throughput backend applications and services, like streaming chat between user and agent.
• Design a collaborative "Multiplayer Computer" that lets humans and AI agents work together on shared shells, filesystems, and state—conflict-free and in real time.
• Develop infrastructure (frontend & backend) that empowers product engineers to rapidly ship delightful user experiences.
• Design and build durable, well-crafted interfaces between the Agent and internal systems, as well as external agentic systems (MCP)

Required Skills and Experience

• 5+ years professional experience in building backend services, systems and platforms
• Someone who values simplicity and pragmatism—you think radically but ship incrementally.
• Self-directed and comfortable working autonomously.
• Collaborative and team-oriented with a strong sense of shared ownership.

Preferred Qualifications

• Experience across the full-stack.
• Experience building AI powered tooling or products.
• Experience with collaborative editing technologies such as Operational Transforms (OT), CRDTs, or the inner workings of Git.
• Experience with event sourcing systems.

What We Value

• Problem-solving mindset: Ability to approach complex operational challenges systematically and devise effective solutions
• Self-directed and autonomous: Capable of working independently while collaborating effectively with cross-functional teams
• Strong communication skills: Ability to explain complex technical concepts to both technical and non-technical audiences
• Continuous learning: Passion for staying current with industry best practices and new technologies
• Focus on automation: Strong belief in automating repetitive tasks and building self-healing systems

Full-Time Employee Benefits Include:

• Competitive Salary & Equity
• 401(k) Program with a 4% match
• Health, Dental, Vision and Life Insurance
• Short Term and Long Term Disability
• Paid Parental, Medical, Caregiver Leave
• Commuter Benefits
• Monthly Wellness Stipend
• Autonomous Work Environment
• In Office Set-Up Reimbursement
• Flexible Time Off (FTO) + Holidays
• Quarterly Team Gatherings
• In Office Amenities

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About the Team

OpenAI’s mission is to ensure that artificial general intelligence (AGI) benefits all of humanity. A key part of achieving that mission is training models that deeply understand and reflect human preferences — the Human Data team is at the heart of that effort.

The Human Data engineering team creates the systems that enable scalable, high-quality human feedback. These systems are essential to how OpenAI trains and improves its most advanced models. Engineers on this team collaborate closely with world-class researchers to bring alignment techniques to life — from experimental ideas to production-ready feedback loops.

About the Role

We’re looking for software engineers to join the Human Data team and build the platforms, prototypes, tools, and infrastructure that power how our AI models are trained, aligned, and evaluated. You’ll partner with researchers and cross-functional teams to bring alignment ideas to life, influence future model training, and shape how models interact with the real world.

We’re looking for people who are excited by technical ownership, enjoy working across the stack, and are eager to solve ambiguous problems in a high-impact, fast-paced environment.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Build and maintain robust full-stack systems for feedback collection, data labeling, and evaluation pipelines, while maintaining high levels of security.

• Translate experimental alignment research into scalable production infrastructure, including inference and model training stacks.

• Design and iterate on user-facing tools and backend services to support high-quality data workflows

• Partner with researchers, engineers, and program leads to shape feedback loops and model interaction paradigms

• Drive infrastructure improvements that enable faster iteration and scaling across OpenAI’s frontier models, from internal research tooling all the way to production ChatGPT.

You might thrive in this role if you:

• Have strong software engineering fundamentals and experience building production systems at scale

• Enjoy full-stack development with end-to-end ownership — from backend pipelines to user interfaces

• Are motivated by high-impact collaboration with research teams and solving novel, ambiguous problems

• Are excited to shape how AI systems learn from human preferences and reflect a broad range of human values

• Care deeply about inclusive tooling and building systems that enhance model safety, reliability, and usefulness

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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Location

San Francisco

Employment Type

Full time

Department

Applied AI

Compensation

• $230K – $385K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

The Applied Foundations team at OpenAI is dedicated to ensuring that our cutting-edge technology is not only revolutionary but also secure from a myriad of adversarial threats. We strive to maintain the integrity of our platforms as they scale.

The Applied Foundations team is at the front lines of defending against financial abuse, scaled attacks, and other forms of misuse that could undermine the user experience or harm our operational stability. Integrity Foundations provides the core building blocks and infrastructure for this work.

About the Role

At OpenAI, our mission is to advance AI in a way that is safe, reliable, and aligned with broad societal values. The applied foundations role is crucial for maintaining the trustworthiness of our platforms. You will be pivotal in developing robust defenses against a spectrum of adversarial behaviors that threaten our ecosystem.

In this role, you'll work with our entire engineering team to design and implement systems that detect and prevent abuse, promote user safety, and reduce risk across our platform. You'll be at the forefront of our efforts to ensure that the immense potential of AI is harnessed in a responsible and sustainable manner.

In this role, you will:

• Develop and enhance systems to detect and prevent various forms of abuse including financial fraud, botting, and scripting.

• Collaborate with cross-functional teams to design solutions that protect against and mitigate adversarial attacks without compromising user experience.

• Assist with response to active incidents on the platform and build new tooling and infrastructure that address the fundamental problems.

You might thrive in this role if you:

• Have at least 3 years of professional software engineering experience.

• Have experience setting up and maintaining production backend services and data pipelines.

• Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.

• Are self-directed and enjoy figuring out the best way to solve a particular problem

• Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done.

• Care about AI Safety in production environments and have the expertise to build software systems that defend against abuse.

• Build tools to accelerate your own workflows, but only when off-the-shelf solutions would not do.

Our tech stack

• Our infrastructure is built on Terraform, Kubernetes, Azure, Python, Postgres, and Kafka. While we value experience with these technologies, we are primarily looking for engineers with strong technical skills and the ability to quickly pick up new tools and frameworks.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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About Us:

Fifth Dimension is bringing vibe working to document-heavy industries. Today we work with real estate businesses in the US, EU and APAC, automating complex tasks, extracting valuable insights from documents, and empowering professionals to focus on high-impact work. Our AI workspace transforms how large investment managers and developers handle leases, development documents, and investment decisions.

We're a London and New York based startup with an ample runway, backed by Tier 1 European and American investors. Our founders, Johnny Morris and Dr. Kate Jarvis bring a powerful blend of expertise: Johnny has 17+ years applying data and analytics to Real Estate, while Kate holds a Stanford PhD and 12 years of executive experience across Silicon Valley and London startups.

At Fifth Dimension, we're demanding yet encouraging, valuing experimentation and kind challenges. Our company values, Own It, Ship It, and Don't Be Boring, drive us to deliver exceptional results while fostering a culture of innovation and continuous improvement.

The Challenge

It's 9 AM on a Monday. You're reviewing usage analytics from last week's release and notice a drop-off in a key workflow—you sketch out a hypothesis and a fix before standup. By noon, you've shipped a prototype using Claude Code that rethinks how users navigate large document sets, and you're demoing it to a product manager and a customer success lead. By Wednesday, you're on a call with a major real estate firm, listening to how they actually use the platform day-to-day—and you spot an opportunity nobody had articulated yet. By Thursday, you've shaped that insight into a spec, got buy-in, and started building. By Friday, you're celebrating with the team as a customer tells you: "This is exactly what we needed."

About You

You've honed your craft through years of practice across the full stack, from performant backends and well-designed APIs to responsive, polished frontends. You have strong product intuition—you know how to talk to customers, read between the lines of a feature request, and make pragmatic trade-offs between scope, speed, and quality.

You're proficient with AI coding assistance tools like Claude Code, leveraging them to accelerate development and focus on higher-level product and architectural challenges. You understand that modern engineering means effectively collaborating with AI to maximise your productivity and creative potential.

Details don't escape you. You take pride in the end-to-end user experience—from the API contract to the loading state to the edge case that only one customer hits. As someone who thrives in fast-paced environments, you adapt quickly and mentor other engineers while collaborating effectively with commercial teams and customers.

You're passionate about your personal growth and see each complex problem as an opportunity to expand your capabilities. You actively seek challenges that push the boundaries of what's possible and value environments where you can both contribute your expertise and continue to evolve as an engineer.

Your Impact

Reporting to our CTO Chen, you'll own and shape core product areas end-to-end—from discovery and design through to architecture, implementation, deployment, and customer adoption. Working closely with our skilled engineering team and commercial stakeholders, you'll combine deep technical ability with strong product sense to build capabilities that deliver tangible value to enterprise customers and drive the business forward.

Day to Day, You Will

• Think like a Product Manager+: Own core product areas while balancing technical excellence with business impact—you don't wait for a spec, you help write it

• Own end-to-end delivery of complex features from discovery and definition through to production deployment and customer adoption

• Talk to customers regularly—understanding their workflows, pain points, and unarticulated needs to inform what you build

• Collaborate with product, design, and commercial teams to shape the roadmap and translate customer insight into robust technical solutions

• Leverage AI coding tools like Claude Code to accelerate development workflows

• Lead development of the systems that underpin our platform:

• Scalable APIs and backend services that power document processing, data extraction, and agentic workflows

• Reliable streaming and event-driven architectures for real-time user experiences

• Frontend experiences that make powerful AI capabilities intuitive and accessible

• Integrations with enterprise systems and third-party platforms

• Implement data privacy and security by design

• Champion engineering best practices: testing, observability, CI/CD, and infrastructure-as-code

• Mentor other engineers and help establish engineering and product-thinking best practices

• Invest in your own growth by taking on ambitious technical challenges and expanding your expertise

• Apply our engineering philosophy: intellectual honesty, effective time management, clear communication, and innovation

Our Values and Engineering Culture

At 5D, we embody three core principles: Own it, Ship it, and Don't be boring.

Our engineering team values:

• Product-Minded Engineering: Understanding the "why" behind features and using technical expertise to inform product decisions

• Intellectual Honesty: Backing discussions with data and acknowledging knowledge gaps

• Effective Time Management: Setting clear timebox and abandoning approaches that aren't working

• Clear Communication: Writing self-documenting code and providing detailed explanations

• **Innovation Minds

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Microsoft AI are looking for a talented Software Engineer at their Beijing office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI experiences. You'll work directly with leadership to shape the company's direction in the AI and simulation markets.

About the Role

In this role, you will work across the full stack—spanning Frontend and Backend—combining robust engineering practices with the power of modern AI to deliver critical features for Copilot and our broader ecosystem. You will drive the technical design, implementation, and deployment of critical AI services and AI user interfaces. Set a high bar for AI-native engineering by leveraging deep understanding of advanced AI solutions and frontline AI coding experience to accelerate development cycles.

Accountabilities

• Drive the technical design, implementation, and deployment of critical AI services and AI user interfaces.
• Set a high bar for AI-native engineering by leveraging deep understanding of advanced AI solutions and frontline AI coding experience to accelerate development cycles.
• Actively explore the latest advancements in AI-assisted programming and integrate them into daily workflows to build low-latency backend services and responsive frontend interactions with greater efficiency.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Technical skills:

• Solid understanding of full-stack development, including deep proficiency in both Frontend frameworks (e.g., React, TypeScript) and Backend services, with a strong grasp of scalable system architecture and design patterns.

Personal attributes:

• A highly open mindset with a relentless drive for continuous learning.
• Demonstrated willingness to embrace new technologies, tools, and paradigms—especially the rapid evolution of AI coding workflows—and apply them to solve complex engineering challenges.

Benefits

• Work from a designated Microsoft office at least four days a week if you live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location.
• Competitive salary and benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

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