Responsibilities:

• Collaborate with application development teams, technology management, and the business to design, prototype, and implement next-generation web UIs and mobile apps.
• Develop, maintain, and support existing Java Client UI used by a quarter of the firm.
• Contribute to the application development and architecture of highly scalable real-time UIs.

Qualifications, Skills, and Requirements:

• 5+ years of full-stack development experience, preferably within a financial services firm supporting real-time UIs.
• Expertise with Core Java and Spring.
• Excellent grasp of data structures and algorithms and the ability to learn and adopt new technologies quickly.
• Familiarity with database technologies – Advanced SQL, NoSQL, Time-series databases (KDB).
• Experience with event-driven architecture using message bus and caching technologies like Solace, Kafka, Pulsar, Memcached, Redis.
• Experience working with various monitoring tools like Datadog, ELK stack.
• A strong interest in financial markets and a desire to work directly with investment professionals.
• A good team player with a strong willingness to participate and help others.
• Drive to learn and experiment.

Nice-to-have:

• Proficiency with Angular UI is preferred; React will also be considered.
• Familiarity with equities and equity derivatives within a real-time electronic trading environment is preferred.
• Experience with KDB+ q or C/C++.

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

XML job scraping automation by YubHub

XML job scraping automation by YubHub

Responsibilities:

• Lead the development of highly-visible, user-facing products that protect our users.
• Design, build, and deploy robust production APIs, backend services, and data pipelines to launch safety features at scale.
• Collaborate cross-functionally with Product, Design, Policy, Data Science, ML, Legal, and T&S Operations to create solutions that are both impactful and lovable.
• Iterate on in-house tooling to supercharge our T&S workflows.
• Respond rapidly to the ever-evolving abuse and compliance landscape.

Requirements:

• 5+ years experience writing Python and utilizing back-end API frameworks (Flask, Django).
• 5+ years experience developing front-end interfaces with JavaScript (React, TypeScript) for both web and mobile platforms.
• Familiarity with databases such as Cassandra, Postgres, and ScyllaDB.
• Demonstrated success leading end-to-end delivery of complex projects: breaking down ambiguity, coordinating rollouts, and aligning stakeholders.
• Demonstrated ability to troubleshoot, debug, and test complex systems in a live, production environment.
• Exceptional communication and collaboration skills, with the ability to work well with cross-functional partners, designers, and other engineers.
• Experience using metrics and dashboards to make data-driven decisions and develop insightful reports.
• Experience utilizing AI tools like Claude Code and Cursor to supercharge dev workflows

Bonus Points:

• Experience in the Safety or Anti-Abuse domain.
• Experience analyzing and visualizing data using Datadog or Mode.
• Familiarity with real-time streaming systems like Kafka or Pub-Sub.
• Ability to contribute to offline analytics jobs and processes.
• Experience building and operating mobile-client features on iOS and Android.
• Exposure to lower-level languages such as Go, Rust, and Elixir.
• A strong moral compass that drives you to protect users and do the right thing.

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

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

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

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

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

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

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

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

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

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

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

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Some of the key responsibilities of this role include:

• Partnering with Product and Engineering to ensure that our application is designed and developed securely
• Participating in the implementation efforts, doing security reviews, helping with product design decisions, auditing and surfacing vulnerabilities in our current products
• Developing and improving our automated tooling to scale our application security capabilities and find potential code problems both before and after we deploy
• Making the safe way, the easy way, by working on defining and building application guardrails so that developers can build securely by default
• Assisting in ongoing security operations, including incident response, vulnerability management, penetration testing, security reviews, and other operational tasks to ensure that our security program is operating at a world-class level

We use a variety of tools and technologies, including Cloud Security: Lacework, Languages: Python 3, TypeScript, Libraries: FastAPI, SQLAlchemy, React, Datastores: Postgres, Redis, Infrastructure: AWS (Fargate, ECS, S3, and more), Spark and Kafka, Monitoring: Datadog, PagerDuty, Version Control: Github, Vulnerability Management: Snyk, Semgrep

If you have 0 → 1 security experience, strong cross-functional experience, strong technical depth and breadth, thrive in ambiguity, innovation at scale, results-driven, and mission-driven, you'll be great for this role.

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Key responsibilities include:

• Working with customer engineering teams to ensure we’re building solutions that developers love using day-in and day-out
• Collaborating with the Internal Development Experience (IDX) team to ensure an easy path to go from development through staging into production
• Working with the Platform Security team in order to secure every path to production
• Shipping Rust code to YAY, our in-house deployment tooling built around Google Kubernetes Engine and Temporal
• Exposing the full flexibility of Kubernetes for users while abstracting the complexities away
• Building tools to manage the configuration, observability, and scaling characteristics of our infrastructure

Requirements include:

• 5+ years of experience in software development with a focus on tooling, infrastructure, and automation
• Experience working in multi-milestone and even multi-quarter projects
• Expertise and empathy when troubleshooting issues with customer engineering teams
• Expertise using and building upon the primitives of standard cloud infrastructure tooling like Kubernetes, Docker
• Experience developing in cloud-based environments (we use Google Cloud; knowledge of Amazon Web Services and/or Azure also great!)
• Experience with infrastructure-as-code tooling (we use Terraform)

Bonus points for experience with CI, build, and deployment technologies like Buildkite, Bazel, and Terraform, as well as cloud networking tools like istio, envoy, etc. and application observability tools like Datadog and/or Sentry.

XML job scraping automation by YubHub

XML job scraping automation by YubHub

The Ads Foundations organization is responsible for the technical backbone powering Ads Monetization at scale. Within this ecosystem, efficient resource utilization is critical.

We are seeking a Senior Staff Engineer to serve as the Cloud Resources Technical Owner for the Ads Domain. You will be the primary engineering point of contact for the Senior Director in Ads and Cloud Operations/Resources (COR & Opex) stakeholders.

Responsibilities

Technical Vision & Strategy

• Define and drive the technical strategy for Cloud Resource management within Ad first, ensuring that cost accountability is built into the architecture of our systems.
• High-Fidelity Investment Modeling: Elevate cloud estimation from guesswork to a rigorous engineering discipline. You will lead the high-quality forecasting of new cloud investments and efficiency projects, designing data-driven models to validate technical ROI before builds happen
• Design and implement a roadmap for Cost Observability 2.0, moving beyond simple reporting to real-time, service/team-level spend attribution and automated anomaly detection.

Engineering & Tooling Leadership

• Design and build internal platforms that programmatically enforce PnL accountability. You will engineer (or collaborate with Core Infrastructure partners) to deliver the dashboards, alerts, and governance tools that every Ads team relies on to manage their cloud footprint.
• Architect automated frameworks for validating cost estimates and forecasting, replacing manual spreadsheets with data-driven software solutions.

Scale & Optimization

• Fight for observability by instrumenting deep telemetry into our cloud infrastructure. You will be hands-on in identifying inefficiencies (e.g., underutilized clusters, uncompressed data flows) and re-architecting critical paths for cost reduction.
• Lead the technical validation of vendor and 3rd-party tool integration, ensuring we extract maximum engineering value from every dollar spent.

Cultural & Technical Stewardship

• Act as a role model for the Ads domain and the wider company. You will set the standard for how engineering teams think about Cost as a Non Functional Requirement, eventually scaling these patterns to other domains.
• Partner with Finance and Engineering leadership to translate Cloud Spend into actionable engineering tasks (e.g., refactor Service X to use Spot instances).

Requirements

• 10+ years of software engineering experience, with a strong focus on public cloud infrastructure (AWS/GCP/Azure) and large-scale distributed systems.
• Engineer-First Mindset: You are comfortable writing code (Go, Python, Java) to solve infrastructure problems. You don't just ask for a report; you build the API that generates it.
• Deep Cloud Expertise: You have mastery over Kubernetes, container orchestration, and cloud-native storage, understanding exactly how architectural choices impact the bottom line.
• Operational Excellence: Proven track record of building observability pipelines (Prometheus, Grafana, Datadog) that drive operational and financial alerts.
• Influential Leader: Skilled at driving clarity in ambiguous spaces. You can convince a Principal Engineer to refactor their service for cost efficiency because you can prove the technical and business value.

Bonus Points

• Experience building custom FinOps tooling or internal developer platforms.
• Background in performance engineering or capacity planning for high-traffic ad tech environments.
• Contributions to open-source projects related to cloud efficiency or observability.

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As a Partner Solutions Architect, you will:

• Own Technical Engagement Plans (TEPs) for focus partners, establishing long-term technical roadmaps at the CTO and Practice Lead level.
• Guide partners through high-stakes Technical Validation cycles, ensuring Elastic solutions are built to best-practice standards.
• Lead 'one-to-many' technical 'Build-a-thons' and hands-on laboratory sessions that empower partner engineers to lead their own implementations.
• Build deep relationships with partner pre-sales teams to guide them through the 'how-to' of complex Search AI, Observability, and Security architectures at the configuration level.
• Collaborate on 'design wins' by developing repeatable technical blueprints.

To be successful in this role, you will require:

• Direct, hands-on experience with the Elastic Stack (ELK) or similar distributed search/analytics technologies (e.g., OpenSearch, Solr, Splunk, Datadog).
• 8+ years of experience in technical roles.
• Proven ability to design and build technical prototypes, ingest complex datasets, and optimize search/indexing performance.
• Hands-on experience with Kubernetes, Docker, and Infrastructure as Code (Terraform) on AWS, Azure, or GCP.
• 3+ years in a partner-facing role, with a focus on building technical practices and enabling third-party engineering teams.
• The ability to translate deep technical capabilities into scalable partner-led solutions.

If you are a motivated and experienced professional with a passion for technology and partnership development, we encourage you to apply for this exciting opportunity.

XML job scraping automation by YubHub

Responsibilities:

• Design and implement foundational patterns and libraries for Python applications, across a range of technologies from API services to event processing
• Utilize Infrastructure as Code (IaC) tools to ensure reproducible and scalable environment setups
• Design and implement infrastructure for applications hosted on AWS, supporting event-driven systems, containerized services on Kubernetes, and serverless functions
• Develop and maintain robust CI/CD pipelines using tools such as Jenkins, ArgoCD
• Have experience automating the lifecycle management of code from development through production, including code promotion and configuration management
• Instrument observability through tools such as CloudWatch and DataDog to monitor and optimize application performance across multiple environments
• Scale infrastructure to meet increasing demand while managing cost effectively
• Have experience defining, instrumenting and measuring standards for quality, security, scalability, and availability with a focus on delivering business value
• Have passion for delivering turn-key developer experience for local development
• Keen interest in developing talent through mentorship
• Strong written and verbal communication, tailored to a variety of audiences
• A strategic thinker with a product-first approach and customer obsession

Requirements:

• At least 6 years of professional experience in a platform engineering team within a product-centric company
• Experience working with an RPC architecture
• Experience working at or having worked at a technology startup and familiar with the challenges of evolving platform maturity
• First-hand experience navigating multiple distributed architecture patterns

Our range reflects the hiring range for this position. We use national average to determine pay as we are a remote first company. Individual pay is based on a number of factors including qualifications, skills, experience, education, and training. Base pay is just a part of our total rewards program. Honor offers generous equity packages that increase with position level and responsibilities, and a 401K with up to a 4% employer match. We provide medical, dental and vision coverage including zero cost plans for employees. Short Term Disability, Long Term Disability and Life Insurance are fully employer paid with a voluntary additional Life Insurance option. We offer a generous time off program, mental health benefits, wellness program, and discount program.

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Key Responsibilities:

• Build, operate, and scale Kubernetes-based production infrastructure that delivers our products with high reliability and performance.
• Develop automation, tooling, and infrastructure as code in Go and other infrastructure-focused languages to enable zero-touch operations, rapid recovery, and seamless deployments.
• Design, implement, and maintain monitoring, alerting, and observability solutions,leveraging the Grafana ecosystem and related tools,to proactively identify and resolve production issues.
• Drive incident response efforts, participate in on-call rotations, and lead root cause analysis to prevent recurrence and improve incident handling processes.
• Partner with internal and cross-functional teams to ensure platform capabilities meet rigorous operational requirements and customer SLAs.
• Engineer for resiliency, implementing best practices for redundancy, fault tolerance, and disaster recovery across complex distributed systems.
• Advocate for security, reliability, and performance improvements throughout the stack, continuously seeking opportunities to strengthen operational standards.
• Contribute to the development of custom Kubernetes operators and intelligent orchestration frameworks that optimize AI workload performance and resource utilization at scale.

Requirements:

• 3+ years of experience in production engineering, SRE, or large-scale infrastructure/platform roles.
• Knowledgeable in Kubernetes administration, container orchestration, and microservices architectures, with a bias for automating every aspect of operations.
• Proven track record managing high-uptime, customer-facing systems in a fast-moving environment, with experience delivering measurable improvements in reliability and performance.
• Experience in monitoring, observability, and incident management using tools like Prometheus, Grafana, Datadog, Splunk, Loki, or VictoriaMetrics.
• Deep understanding of Linux systems and infrastructure-focused programming, especially in Go and Bash.
• Strong analytical skills and ability to troubleshoot complex production issues.
• Excellent communication skills and ability to share knowledge with technical and non-technical stakeholders.

What Success Looks Like:

• Deliver stable, robust, and highly-available systems that consistently meet or exceed uptime and performance targets.
• Champion initiatives that drive automation, reduce operational toil, and increase the efficiency of incident response.
• Actively contribute to a blameless culture of learning, mentoring others in operational best practices and production engineering principles.
• Help CoreWeave maintain industry leadership through flawless execution in supporting demanding, AI-powered workloads at scale.

Why CoreWeave?

• We work hard, have fun, and move fast!
• We're in an exciting stage of hyper-growth that you won't 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 enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities 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 $120,000 to $176,000. 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 each day in our office and data center locations
• A casual work environment
• A work culture focused on innovative disruption

Our Workplace:

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

XML job scraping automation by YubHub

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

We’re seeking a very specific candidate who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system.

As an Engineering Manager, you will lead the Identity Accounts team , the platform foundation that powers every user, organization, and account at Coinbase.

This is one of the most visible and business-critical engineering platforms at the company: your team’s services handle authentication, authorization, security settings, and account management for millions of customers across every Coinbase product.

You will manage engineers across three sub-teams (Foundations, Users Platformization, and Settings & Account Management), drive roadmap execution in close partnership with your Tech Lead and Product Manager, and represent the team to 20+ internal product groups and key partners in Security, Risk, Compliance, and Design.

If you thrive at the intersection of deep technical problems and cross-functional leadership, this role is for you.

Key Responsibilities:

• Lead and grow a team of engineers across backend, frontend, and site reliability , building a high-performing team through hiring, coaching, and career development.

• Drive roadmap execution across three focused sub-teams: Foundations (authorization infrastructure), Users Platformization (decomposing the legacy monolith), and Settings & Account Management (Security Settings 2.0, account navigation redesign).

• Own reliability and operational excellence for 8+ mission-critical Tier-0/Tier-1 services , maintaining 99.99% uptime, championing engineering quality, and acting as quarterback during high-severity incidents.

• Represent the team to internal product groups and key partners in Security, Risk, Compliance, and Design , building alignment and ensuring seamless integration support.

• Partner with Product and your Tech Lead to define strategic roadmaps, prioritize initiatives, and translate complex constraints into simple, scalable platform solutions.

• Champion engineering excellence , drive code and design reviews, set engineering standards, and build every capability to be composable and reusable across product lines (no bespoke, one-off integrations).

• Accelerate internal customers by reducing new product team onboarding time to under 2 weeks and delivering excellent APIs, clear documentation, and strong integration support.

Requirements:

• 7+ years of experience in software engineering, with at least 2 years of engineering management experience leading teams of 5+ engineers.

• Proven track record shipping large-scale distributed systems serving millions of users in production.

• Technical fluency in coding, system design, API architecture, and reliability tradeoffs , able to be hands-on when needed (writing/reviewing code, leading incidents, triaging bugs).

• Strong communicator who writes clearly, builds organizational alignment, and can represent the team effectively to senior leadership and cross-functional partners.

• Experience building and scaling high-performing engineering teams through hiring, developing, and promoting talent.

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

Nice to haves:

• Experience in identity, authentication, authorization, or account management systems.

• Prior experience leading a Platform team or similar domain with high internal customer dependency.

• Familiarity with our stack: Go, gRPC, React, SpiceDB, Kubernetes, PostgreSQL, Kafka, Datadog.

• Background building financial, high-reliability, or security systems.

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You'll work closely with infrastructure and engineering teams to improve system resilience, automate operational processes, and proactively mitigate risks. Your day-to-day will include developing scalable security infrastructure, enhancing observability, and responding to production incidents while continuously improving system reliability and performance.

In this role, you will:

• Design, implement, and maintain scalable, highly available security infrastructure using Kubernetes and cloud native technologies
• Build automation and monitoring solutions to proactively identify and mitigate reliability risks
• Collaborate with engineering teams to optimize system performance, reduce latency, and improve service uptime
• Participate in incident response, conduct root cause analysis, and implement preventative solutions
• Mentor team members and promote best practices in reliability, security engineering, and infrastructure management

Who You Are:

• 5+ years of experience in site reliability engineering, DevOps, security engineering, security operations, or related roles
• Strong proficiency with Kubernetes, container orchestration, and cloud native technologies
• Experience managing and operating Teleport for infrastructure access control
• Proficiency in automation and scripting languages such as Python, Bash, or Go
• Experience operating and maintaining large scale distributed systems with a focus on reliability

Preferred:

• Familiarity with observability platforms such as Prometheus, Grafana, or Datadog
• Experience working with cloud providers such as AWS, Azure, or GCP

Wondering if you're a good fit? We believe in investing in our people and value candidates who bring diverse experiences, even if they don't meet every requirement. If some of the below resonates with you, we'd love to connect.

• You enjoy solving complex infrastructure and security challenges at scale
• You're curious about improving system reliability, automation, and observability
• You have a strong ownership mindset and take pride in building resilient systems

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast. We are in an exciting stage of hyper growth and building the infrastructure powering the next wave of AI. Our team embraces continuous learning, collaboration, and innovation to solve complex challenges at scale. Our core values guide how we work together:

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

We foster an environment that encourages independent thinking, collaboration, and the development of innovative solutions. You will work alongside some of the best talent in the industry and have opportunities to grow as we continue to scale. We support and encourage an entrepreneurial outlook and independent thinking.

The base salary range for this role is $190,000 to $282,000. The starting salary will be determined by job-related knowledge, skills, experience, and the 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 each day in our office and data center locations
• A casual work environment
• A work culture focused on innovative disruption

Our Workplace

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

California Consumer Privacy Act - California applicants only

CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com

Export Control Compliance

This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

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You will work closely with SRE, Platform, and Engineering teams to ensure performance, reliability, automation, and operational excellence across our database environment. This is a hands-on engineering role focused on building resilient data infrastructure, not just administering it.

Responsibilities:

• Design, implement, and operate highly available PostgreSQL clusters (physical replication, logical replication, sharding/partitioning, failover automation).
• Optimize query performance, indexing strategies, schema design, and storage engines.
• Perform capacity planning, growth forecasting, and workload modeling.
• Own high-availability strategies including automatic failover, multi-AZ/multi-region setups, and disaster recovery.

Automation & Tooling:

• Develop automation for any and all tasks including but not limited to: provisioning, configuration, backups, failovers, vacuum tuning, and schema management using tools such as Terraform, Ansible, Kubernetes Operators, or custom tooling.
• Build monitoring, alerting, and self-healing systems for PostgreSQL and MySQL.

Operations & Incident Response:

• Lead response during database incidents,performance regressions, replication lag, deadlocks, bloat issues, storage failures, etc.
• Conduct root-cause analysis and implement permanent fixes.

Cross-Functional Collaboration:

• Partner with software engineers to review SQL, optimize schemas, and ensure efficient use of PostgreSQL features.
• Provide guidance on database-related design patterns, migrations, version upgrades, and best practices.

Required Qualifications:

• 4 plus years of hands-on PostgreSQL experience in high-volume, distributed, or large-scale production environments.
• Strong knowledge of PostgreSQL internals (WAL, MVCC, bloat/ vacuum tuning, query planner, indexing, logical replication).
• Production experience with MySQL (InnoDB internals, replication, performance tuning).
• Advanced SQL and strong understanding of schema design and query optimization.
• Experience with Linux systems, networking fundamentals, and systems troubleshooting.
• Experience building automation with Go or Python.
• Production experience with monitoring tools (Prometheus, Grafana, Datadog, PMM, pg_stat_statements, etc.).
• Hands-on experience with cloud environments (AWS or GCP).

Preferred/Bonus Qualifications:

• Experience with PgBouncer, HAProxy, or other connection-pooling/load-balancing layers.
• Exposure to event streaming (Kafka, Debezium) and change data capture.
• Experience supporting 24/7 production environments with on-call rotation.
• Contributions to open-source PostgreSQL ecosystem.

This position requires the ability to access federal environments and/or have access to protected federal data. As a condition of employment for this position, the successful candidate must be able to submit documentation establishing U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee. 22 CFR 120.15) upon hire.

Requires in-person onboarding and travel to our San Francisco, CA HQ office or our Chicago office during the first week of employment.

#LI-Hybrid #LI-LSS1 requisition ID- P5979_3307978

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Your responsibilities will include guiding and mentoring a growing team of infrastructure engineers, defining and upholding coding standards, partnering with other teams to embed observability throughout the development lifecycle, and owning end-to-end reliability for observability tools.

You will also extend observability to LLM and AI features by instrumenting prompts, model calls, and RAG pipelines to capture latency, reliability, cost, and safety signals. You will design online and offline evaluation loops for LLM quality, build dashboards and alerts for token usage, error rates, and model performance, and connect these signals to tracing for prompt lineage.

To succeed in this role, you will need 6+ years of software engineering experience, with 3+ years focused on observability or infrastructure at scale. You will also need demonstrated success implementing and running production-grade logging, metrics, or tracing systems, proficiency in distributed systems concepts, data streaming pipelines, and container orchestration, and deep hands-on knowledge of tools such as Prometheus, Grafana, Datadog, OpenTelemetry, ELK Stack, Loki, or ClickHouse.

This is a high-impact role that will allow you to lead the modernization of Airtable's observability stack, influence how every engineer monitors and debugs mission-critical systems, and drive major projects across engineering organization to build platform and services for solving observability problems.

XML job scraping automation by YubHub

Responsibilities:

• Thorough, clear, concise documentation of new and existing standards, procedures, and automated workflows
• Championing of best practices and standards around infrastructure configuration and management
• Experience in creating internal products and managing their software development lifecycle
• Deployment, configuration, and management of infrastructure via infrastructure as code
• Working hands on with cloud infrastructure (AWS, Azure, and GCP)
• Working hands on with container infrastructure (Docker, Kubernetes, ECS, EKS, GKE, GAE, etc.)
• Configuration and management of Linux based tools and third-party cloud services
• Continuous improvement of our infrastructure, ensuring that it is highly available and observable

Minimum Requirements:

• Solid foundation of experience managing Linux systems in virtual environments (6+ years)
• Deploying and maintaining highly available infrastructure in one or more Cloud providers (5+ years, AWS or GCP preferred)
• Infrastructure as code using Terraform (4+ years)
• Creating, deploying, maintaining, and troubleshooting Docker images (4+ years)
• Scoping, deploying, maintaining and troubleshooting Kubernetes clusters (4+ years)
• Developing and maintaining an active codebase in Go, Python preferably (3+ years)
• Experience with PaaS technologies (5+ years, EKS and GKE preferred)
• Maintaining monitoring and observability tools (Datadog, Prometheus preferred)
• Thorough understanding of network infrastructure and concepts (VPNs, routers and routing protocols, TCP/IP, IPv4 and v6, UDP, OSI layers, etc.)
• Experience with load balancing and proxy technologies (Istio, Nginx, HAProxy, Apache, Cloud load balancers, etc.)
• Debugging and troubleshooting complex problems in cloud-native infrastructure.
• Slack native mentality.
• Bachelor’s Degree in Computer Science or a related technical discipline, or the equivalent combination of education, technical certifications, training, or work experience.

Abilities Required:

• Demonstrated ability to learn new technologies quickly and independently
• Strong technical, organizational and interpersonal skills
• Strong written and verbal communication skills
• Must be able to read, understand, and communicate complex problems and solutions in English over a textual medium (such as Slack)

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In this role, you will support end users by improving field failure discovery, mitigation, and resolution processes, conducting root cause analysis, deploying fixes, and managing incidents across the GCS fleet. This position requires a strong problem-solving mindset and hands-on expertise in debugging and resolving complex compute hardware and software issues.

If you are passionate about cutting-edge technology, advancing national security, and delivering best-in-class operational support, Anduril invites you to join the team.

Key Responsibilities:

• Sustain Anduril's GCS deployments by combining an understanding of our customers' missions with familiarity of our products and delivered capabilities
• Triage, diagnose and root cause product incidents, driving postmortem actions including providing status visibility through resolution
• Consistently assess and seek to improve the quality of the fleet's observability and health telemetry in partnership with multiple functions across the GCS team
• Collect, organize, and analyze system failure data to define trends, drive proactive sustainment processes, and support resource allocation
• Support Anduril's global customers through proactive communications and detail-oriented execution
• Support the evaluation and improvement of product capabilities, analyzing customer communication and feedback for capability requirements, product performance indicators, and desired functionality
• Maintain awareness of current product specifications and bridge the gap in understanding between technical and non technical stakeholders
• Communicate and coordinate technical and non-technical efforts across multiple business, engineering, and sustainment functions, influencing decision making and driving action to maximize capability availability for end users

Required Qualifications:

• 4+ year of technical support experience with a focus on final-tier customer concern support
• Experience supporting and/or performing incident driven workflows requiring analysis, triage, and prioritization
• Experience in on-call support operations and working in limited risk tolerance environments
• Ability to work non-standard hours and weekends as needed
• Ability to obtain and maintain a U.S. Secret Security clearance

Preferred Qualifications:

• BA or BS degree from accredited institution, STEM degree, preferably in computer science, software engineering, electrical engineering, information technology, or similar
• Experience supporting and/or operating compute-enabled communications systems, including electronic warfare domain experience, as a DOD employee, contractor, or end-user
• Experience with observability tooling such as DataDog, Grafana, and Victor Ops; exposure to software development tooling such as Git and Jira
• Applicable industry certifications (e.g. CompTIA Network+, CCNA, Linux+)
• Familiarity with and/or experience administrating NixOS systems
• Experience working as a system administrator
• Experience executing sustainment and reliability workflows for a defense-focused service or product
• DOD, Law Enforcement, or other Government agency experience preferred
• Demonstrated experience as a self-starter, able to find and resolve issues on your own
• Experience performing trend analysis to inform business decisions
• Strong aptitude for problem solving in unstructured situations at the interface of hardware, software, and networking
• Ability to drive challenging and vague technical problems to clarity and resolution
• Proven ability to master a technical system and support it in operational environments
• Must demonstrate an innate drive to be self-sufficient across the depth and breadth of a technical system
• Daily practice of excellence and rigor - you execute the 100th rep of a process with the same focus and care as the first five reps
• Confident with navigating ambiguity and crafting new ways of doing things
• Excellent written, visual, and verbal communication skills
• Active SECRET (or higher level) security clearance

Salary Range: $113,000-$149,000 USD

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This position is needed to add to our Voice Connectivity Trust team to enable Twilio to better support our customers using Voice in their solutions.

As a Software Engineer on this team, you will participate in all phases of the software development life cycle, including requirements gathering with Product Managers, technical design, estimations, sprint planning, coding, testing, deployments, and on-call support.

In this role, you'll:

• Design and implement real-time services with high throughput and low latency requirements, verify, deploy, and operationalize them

• Work closely with stakeholders to understand customer needs and devise and deliver simple, robust, and scalable solutions

• Be comfortable expressing thoughts and ideas as detailed prose and use it as an effective means to collaborate with leads, architects, and cross-functional teams

• Embrace the challenge of scaling a complex distributed platform with points of presence globally, each one concerned with high availability, high reliability, high throughput, low latency, and media fidelity

• Figure out novel ways of solving customer problems for the Voice channel

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply.

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About the Role:

We're looking for an experienced, results-oriented Integration Support Specialist who excels in communication, presence, and confidence. This role is an integral part of our strategy to ensure every customer is successful. You will work with our customers to build relationships and drive value based on customer-defined goals, and will be responsible for delivering exceptional customer experiences through friendly, efficient, accurate service and quick resolution of customer incidents and inquiries.

Shift:

Flexibility to work in EST & PST Hybrid work set up:

3 days in office and 2 days work from home

What You'll Do:

Provide day-to-day support for our growing customer base, including both incident management and providing workflow recommendations to ensure customers can get the most out of our platform and its integrations.

Effectively triage and manage escalations to engineering teams for issues that can’t be resolved

Document best practices and other useful information to better enable our customers through our online support tools

Serve as the voice of the customer by ensuring customer feedback is clearly captured and conveyed internally to enable ongoing improvement of ZoomInfo products and services

Learn third-party products and their integrations to educate and guide customers on usage and product adoption

Identify renewal risks and up-sell opportunities, collaborate with internal teams to remediate issues, ensuring a high level of customer satisfaction enabling a successful renewal

Other related duties as assigned

What You Bring:

Bachelor’s degree Mandatory and 2-3 years of equivalent work experience in SaaS organization

Adaptable to Night shift (EST / PST)

Technical CRM, MAT, or Sales Acceleration platform experience; Certification with Salesforce, Marketo, HubSpot, Eloqua and/or Microsoft Dynamics is a strong plus

Experience with SOQL (Salesforce), and troubleshooting Salesforce Managed Packages

Familiarity with troubleshooting or interacting with API's

Prior experience using DataDog, Jira, and Snowflake

Prior experience with video conferencing applications

Proven ability to multi-task and successfully manage multiple priorities simultaneously

Must have a strong attention to detail and be a self-directed problem solver

Ability to adapt and pivot in a fast paced, ever-changing environment

Excellent customer service skills and the ability to be empathetic, accurate, compassionate, responsive, resourceful, and conscientious

A strong sense of urgency

Ability to empower end-users to support themselves using our online training resources

Excellent organisational, written and oral communication skills – You must be able to convey technical jargon in a wide-array of syntax from beginner-level users to developers

Ability to evaluate, troubleshoot, and follow-up on customer issues as well as replicate and document for further escalation

A desire and aptitude to learn and understand technical infrastructure

A positive attitude

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Director of Engineering, Member Experience – Core User Experience (B2C)

About Us

Omada Health is on a mission to inspire and engage people in lifelong health, one step at a time. We build digital programs that help members change real-world behaviors and we do it at scale, in the real constraints of healthcare.

Job Description

We’re looking for an experienced Director of Engineering to lead the teams responsible for Omada’s Core User Experience: the front door and day-to-day surfaces that define trust, momentum, and long-term engagement. This group owns onboarding and experience foundations, home/navigation and discovery, and the support + connection experiences that make the product feel human, resilient, and easy to use.

What You’ll Lead

You’ll lead multiple product engineering teams embedded in cross-functional Product and Design squads, owning the end-to-end member experience and the operating system (OKRs, planning, metrics) that keeps delivery predictable:

• Onboarding and experience foundations: first-run flows, setup, and the baseline UX patterns that everything else builds on
• Core engagement surfaces: home, navigation, discovery, and progression, helping members know what to do next and why it matters
• Support and connection: member-facing support flows, messaging, and the care-team tools that enable timely, human intervention
• AI-assisted experiences and workflows: partner with Product, Design, and Applied AI, to apply AI thoughtfully to improve speed, quality, and support effectiveness, while keeping care human-led and trust-first
• Journey reliability: resilient, observable experiences; cross-cutting investments in performance, reliability, and development productivity, in partnership with Platform Engineering

How You’ll Make an Impact

• Own the technical and execution strategy for Omada’s core member experience, from first interaction to long-term engagement
• Partner closely with Product, Design and our Applied AI team, to translate behavioral science and product vision into scalable, maintainable systems
• Define Core UX OKRs and success metrics, and lead teams to deliver against quarterly commitments with transparency and predictable execution
• Set a high bar for craft, performance, and reliability in mobile and web experiences, especially in moments that matter (onboarding, navigation, messaging, support)
• Balance new product development with long-term system health, resilience, developer productivity, and product development velocity
• Build systems and experiences that proactively reduce member confusion and operational burden. Support should never be an afterthought
• Grow and mentor Engineering Managers, Staff+ engineers, and future leaders, creating clear paths for impact and progression
• Establish and review metrics for engagement/retention, support burden, crash-free/performance, and delivery predictability, using data to steer priorities and prove OKR movement
• Work with our Platform organization on infrastructure and shared services, while owning reliability outcomes and operational excellence for the member experience domain.

Requirements

• 12+ years of experience in engineering leadership, including 5+ years managing managers
• Experience leading multiple product teams delivering best-in-class web and mobile experiences at scale, with a high bar for craft, performance, and reliability
• Strong product instincts paired with a pragmatic, data-driven approach to decision-making
• Proven ability to define success metrics and hold teams accountable to outcomes, not just output, in an Agile environment
• Proven ability to lead quarterly planning/OKRs across multiple teams, including capacity planning, organizational design, dependency management, and data-driven course correction
• Experience hiring, developing, and retaining high-performing engineering leaders
• Deep understanding of mobile (iOS/Android) and web development tradeoffs
• Accountable for a healthy 24/7 on-call and reliability culture: reducing toil, improving incident response, and strengthening learning loops

Bonus

• Background in high-engagement consumer apps (e.g., DTC, marketplaces, social, wellness)
• Experience in healthcare, fintech, or other regulated domains
• Experience driving large-scale re-architecture or modernization efforts
• Familiarity with service-oriented architectures and event-driven systems
• Hands-on technical background that helps you dive deep when needed

Our Technology Stack

Our stack includes Ruby/Rails, Python/Flask/FastAPI, React, iOS (SwiftUI), Android (Kotlin), Postgres, Docker, AWS technologies, Gitlab, Datadog, PagerDuty, and more. You don’t need to know everything, but you should be comfortable leading teams that do.

Why This Role Matters

The experiences this group owns are the front door to Omada. They define trust, momentum, and long-term engagement, while also shaping operational load and support burden. Great execution here compounds across outcomes, member satisfaction, and efficiency across the business.

Benefits

• Competitive salary with generous annual cash bonus
• Equity grants
• Remote first work from home culture
• Flexible Time Off to help you rest, recharge, and connect with loved ones
• Generous parental leave
• Health, dental, and vision insurance (and above market employer contributions)
• 401k retirement savings plan
• Lifestyle Spending Account (LSA)
• Mental Health Support Solutions
• ...and more!

It Takes a Village to Change Healthcare

As we build together toward our mission, we strive to embody the following values in our day-to-day work. We hope these hold meaning for you

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We're seeking a Staff Software Engineer to lead the modernization, optimization, and scalability of Omada's B2B platform. This role is ideal for someone who combines deep technical expertise with strong leadership,someone eager to design for scale, mentor others, and influence technical direction across teams.

You'll play a central role in re-architecting complex legacy systems, designing high-performance data pipelines (batch and real-time), and ensuring our core B2B capabilities,file ingestion, marketing outreach, eligibility, and billing,are robust, performant, and ready for the next wave of growth.

About You:

You're a systems thinker who thrives on solving hard technical challenges at scale. You have a strong foundation in distributed systems, database performance, and architectural design patterns,and you naturally guide teams toward simpler, more scalable solutions.

You're both a technical expert and a connector, equally comfortable deep in the code or collaborating across disciplines. You're passionate about leading by example, mentoring others, and helping engineers across Omada level up their craft. You're also motivated by impact,building systems that help improve health outcomes for millions.

What You'll Be Doing:

• Lead architecture, system design and engineering efforts for high-scale, data-intensive B2B systems supporting eligibility, billing, marketing, and file ingestion.
• Design and implement batch and real-time processing architectures that are reliable, observable, and performant.
• Drive efforts in database performance optimization, schema design, and long-term scalability planning across multi-terabyte PostgreSQL and other persistent stores.
• Partner closely with product, infrastructure, and operations teams to deliver resilient, maintainable systems that balance business needs with technical excellence.
• Identify and lead engineering-wide initiatives that improve scalability, developer efficiency, or data quality.
• Mentor and coach engineers at all levels, and actively contribute to Omada’s engineering community through design reviews, technical talks, and shared best practices.
• Contribute to modern, cloud-forward architecture across multiple product domains, ensuring our systems are designed to evolve gracefully and scale efficiently.
• Use and advocate for AI-assisted development tools (e.g., Cursor, Claude) to enhance individual and team productivity.
• Champion a culture of quality, observability, and reliability through strong DevOps principles and continuous improvement.

*

• What You Need for This Role:

• 10+ years of software engineering experience, with a significant portion spent on scalable systems architecture and performance optimization.
• Proven success in re-architecting complex legacy platforms and implementing modern, maintainable solutions.
• Strong programming experience with Ruby and Python, and comfort working across a modern stack (Rails, GraphQL, Django, Sidekiq).
• Deep understanding of relational databases (PostgreSQL, MySQL), performance tuning, and data modeling.
• Hands-on experience with both batch and streaming data pipelines (e.g., SQS, Kafka, Kinesis, Airflow).
• Demonstrable mastery of API design, distributed systems, and cloud-native architecture (preferably AWS).
• Fluency in CI/CD, containerization, and infrastructure-as-code (Docker, Kubernetes, Terraform).
• Familiarity with monitoring and observability frameworks (Datadog, OpenTelemetry).
• Excellent communication and collaboration skills, with a proven ability to influence and deliver through others.
• Growth mindset and genuine curiosity about new technologies, tools, and team approaches.

*

• Technologies We Use:

• Ruby on Rails
• Sidekiq
• AWS Managed Datastores (RDS with PostgreSQL, Elasticache, ElasticSearch SNS/SQS)
• GraphQL
• Docker
• Kubernetes

*

• Benefits:

• Competitive salary with generous annual cash bonus
• Equity grants
• Remote first work from home culture
• Flexible Time Off to help you rest, recharge, and connect with loved ones
• Generous parental leave
• Health, dental, and vision insurance (and above market employer contributions)
• 401k retirement savings plan
• Lifestyle Spending Account (LSA)
• Mental Health Support Solutions
• ...and more!

*

• It Takes a Village to Change Healthcare:

At Omada, we strive to embody the following values in our day-to-day work. We hope these hold meaning for you as well as you consider Omada!

• Cultivate Trust. We listen closely and we operate with kindness. We provide respectful and candid feedback to each other.
• Seek Context. We ask to understand and we build connections. We do our research up front to move faster down the road.
• Act Boldly. We innovate daily to solve problems, improve processes, and find new opportunities for our members and customers.
• Deliver Results. We reward impact above output. We set a high bar, we’re not afraid to fail, and we take pride in our work.
• Succeed Together. We prioritize Omada’s progress above team or individual. We have fun as we get stuff done, and we celebrate together.
• Remember Why We’re Here. We push through the challenges of changing healthcare because we know the destination is worth it.

*

• About Omada Health:

Omada Health is a between-visit healthcare provider that addresses lifestyle and behavior change elements for individuals managing chronic conditions. Omada’s multi-condition platform treats diabetes, hypertension, prediabetes, musculoskeletal, and GLP-1 management. With insights from connected devices and AI-supported tools, Omada care teams deliver care that is rooted in evidence and unique to every member, unlocking results at scale. With more than a decade of experience and data, and 29 peer-reviewed publications showcasing clinical and economic proof points, Omada’s approach is designed to improve health outcomes and contain costs. Our customers include health plans, pharmacy benefit managers, health systems, and employers ranging from small businesses to Fortune 500s. At Omada, we aim to inspire and empower people to make lasting health changes on their own terms. For more information, visit: https://www.omadahealth.com/

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You will be a foundational technical owner of our Serverless product as it scales to thousands of enterprise customers, with real responsibility, autonomy, and impact. This is a chance to help build a new product vertical from the ground up inside a company that is already scaling at rocket-ship speed.

Your responsibilities will include:

• Building and maintaining core Serverless UI features (dashboards, logs, observability, configuration, usage)
• Designing and implementing backend APIs that power the Serverless product experience
• Improving performance, reliability, and scalability of customer-facing systems
• Working closely with Infrastructure to ensure product features align with platform capabilities
• Owning features end-to-end, from design through production and iteration

We're looking for a strong experience working across both frontend and backend, proficiency with TypeScript, Python, Postgres, and Next.js, and experience owning features end-to-end in production systems. Ability to context switch between UI, backend, and performance work, product-minded engineer who values clean abstractions and long-term maintainability, comfortable working in a fast-moving, low-process environment.

Nice to have experience building developer platforms or infrastructure-adjacent products, familiarity with observability tooling (logging, metrics, tracing) in production environments, background in distributed systems, container orchestration, or cloud-native architectures, experience with real-time systems, streaming logs, or high-throughput data pipelines, exposure to technologies such as Kubernetes, Prometheus, Datadog, gRPC, or similar systems, entrepreneurial mindset and strong ownership mentality.

We offer interesting and challenging work, competitive salary and equity, a lot of learning and growth opportunities, visa sponsorship and relocation assistance, health, dental, and vision insurance, regular team events and offsite.

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Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments.

We are a team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore.

Role Summary We are building one of Europe's largest AI infrastructure offerings that will provide our customers a private and integrated stack in every form factor they may need — from bare-metal servers to fully-managed PaaS.

You will join a fast-growing team to help build, scale and automate our computing management stack. You will be responsible for building fault-tolerant and reliable infrastructure to support both our internal processes and customer platform.

Location: France and UK as primary locations. Remote in Europe can be considered under conditions.

Key Responsibilities: • Design, build, and operate a scalable Kubernetes-based platform to host large-scale AI and HPC workloads, ensuring high performance, reliability, and security. • Own the full lifecycle of cluster management, from bootstrapping and provisioning to global operations, by integrating and developing the necessary software components—including automation, monitoring, and orchestration tools. • Drive infrastructure innovation by designing workflows, tooling (scripts, APIs, dashboards), and CI/CD pipelines to optimize system reliability, availability, and observability. • Champion a zero-trust security model, strengthening IAM, networking (VPC), and access controls to safeguard the platform. • Develop user-centric features that simplify operations for both sysadmins and end customers, reducing friction in daily workflows. • Lead incident resolution with rigorous root-cause analysis to prevent recurrence and improve system resilience.

About you • Strong proficiency in software development (preferably Golang) and knowledge of software development best practices • Successful experience in an Infrastructure Engineering role (SWE, Platform, DevOps, Cloud...) • Deep understanding of Kubernetes internals and hands-on experience with containerization and orchestration tools (Docker, Kubernetes, Openstack...) • Familiarity with infrastructure-as-code tools like Terraform or CloudFormation • Knowledge of monitoring, logging, alerting and observability tools (Prometheus, Grafana, ELK, Datadog...) • Exposure to highly available distributed systems and site reliability issues in critical environments (issue root cause analysis, in-production troubleshooting, on-call rotations...) • Experience working against reliability KPIs (observability, alerting, SLAs) • Excellent problem-solving and communication skills • Self-motivation and ability to thrive in a fast-paced startup environment

Now, it would be ideal if you also had: • Experience with HPC workload managers (Slurm) and distributed storage systems (Lustre, Ceph) • Demonstrated history of contributing to open-source projects (e.g., code, documentation, bug fixes, feature development, or community support).

Additional Information Location & Remote This role is primarily based in one of our European offices — Paris, France and London, UK. We will prioritize candidates who either reside there or are open to relocating. We strongly believe in the value of in-person collaboration to foster strong relationships and seamless communication within our team.

In certain specific situations, we will also consider remote candidates based in one of the countries listed in this job posting — currently France, UK, Germany, Belgium, Netherlands, Spain and Italy.

In any case, we ask all new hires to visit our Paris HQ office: • for the first week of their onboarding (accommodation and travelling covered) • then at least 2 days per month

What we offer Competitive salary and equity Health insurance Transportation allowance Sport allowance Meal vouchers Private pension plan Generous parental leave policy Visa sponsorship

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This role will be part of the Enterprise Observability team that provides observability solutions to teams across the company in the form of a shared service.

Key Responsibilities

• Manage and evolve the enterprise observability platform, with a focus on operational excellence and best practices.
• Provide platform stewardship, optimization, and strategic enablement.
• Work closely with Site Reliability Engineers (SREs) and automation engineers to enhance issue detection, drive intelligent alerting, and enable automated remediation across a large and complex enterprise environment.
• Manage our unified observability platform, and work with individual application and infrastructure teams to ensure their observability needs are met. This includes instrumentation, configuration, alert creation, coaching, and ongoing improvements.

Requirements

• 3-5 years of experience as an Observability Engineer, Monitoring Engineer, Observability platform administrator, Dynatrace administrator or similar
• Full English Fluency
• BS in Computer Science or similar
• Experience in working in Complex environment in engineering or administration in a multinational environment from any industry.

Technical & Business Skills

• Platform Administration – Advanced
• Monitoring and Observability – Intermediate
• Communication, stakeholder management, Advance
• Technical Writing
• Implementation Experience Automation / Scripting - Intermediate
• Coding capacity - Desirable
• Process Improvement – Intermediate
• Dynatrace - Entry Level (1-3 Years) Desirable or others similar (AppDynamics, Splunk, New Relic, Solarwinds, Datadog)
• Office Suite - Intermediate (4-6 Years)
• Cloud Platforms (AWS/Azure/GCP) - Intermediate (4-6 Years) Working knowledge

This position comes with competitive compensation and benefits package:

1. Competitive salary and performance-based bonuses
2. Comprehensive benefits package
3. Career development and training opportunities
4. Flexible work arrangements (remote and/or office-based)
5. Dynamic and inclusive work culture within a globally renowned group
6. Private Health Insurance
7. Pension Plan
8. Paid Time Off
9. Training & Development

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XML job scraping automation by YubHub

This platform enables the execution of large-scale performance and load tests, helping ensure products and game titles are stable, scalable, and launch-ready.

Responsibilities:

• Collaborate with architect, senior engineers, and product stakeholders to design and deliver distributed, scalable, secured platform solutions that enhance player experience.
• Build responsive frontend interfaces using React and develop backend services and APIs using Python and Java.
• Contribute across the full product lifecycle — requirements gathering, design, implementation, testing, deployment, and production support.
• Write clean, maintainable, and well-tested code following engineering best practices, and participate in peer code reviews.
• Improve platform reliability, scalability, and maintainability by resolving production issues, reducing technical debt, and optimizing system performance.
• Troubleshoot live incidents, identify root causes, and implement fixes to maintain high service reliability.
• Collaborate with cross-functional teams and internal product users to gather feedback, extend platform capabilities, and support operational needs.
• Support automation initiatives including CI/CD pipelines, testing frameworks, and developer tooling to improve team efficiency.
• Contribute to observability through logging, metrics, and alerts, and maintain clear technical documentation for services, APIs, and operational procedures.
• Leverage modern development tools, including AI-assisted engineering workflows, to enhance productivity and code quality.

Requirements:

• Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field.
• 3–6 years of hands-on software engineering and full-stack development experience.
• Proficient in multiple programming languages and frameworks, including Python, Java, ReactJS, TypeScript, NodeJS, HTML, CSS, DOM, Linux.
• Strong understanding of end-to-end system design, distributed computing, scalable platform architecture
• Experience building and integrating REST APIs following best practices
• Experience with cloud computing services such as AWS EC2, AMI, ECS, EKS, S3, VPC, DynamoDB, Lambda, ElastiCache, SQS, ECR, ALB, API Gateway and IAM.
• Solid grasp of networking fundamentals (TCP/IP, DNS resolution, TLS/SSL, HTTP/HTTPS) and how internet communication works
• Skilled in DevOps pipelines and CI/CD workflows, particularly using GitLab & Jenkins.
• Hands-on experience with containerization, orchestration, and infrastructure tools such as Docker, Kubernetes, and Terraform.
• Proficient with SQL(MySQL) and NoSQL(MongoDB) databases
• Strong collaboration skills, with the ability to work effectively in cross-functional teams and adept at solving complex technical problems.
• Excellent written and verbal communication, with a motivated, self-driven approach and the ability to operate autonomously.

Bonus Qualifications:

• Familiar with multiple cloud service offerings like GCP, Azure
• Familiar with load testing frameworks like Gatling, K6
• Familiar with GoLang, ClickhouseDB
• Familiar in visualization & monitoring tools (like Prometheus, Grafana, Loki, Datadog etc.,)

About Electronic Arts

We're proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.

We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.

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As a Staff Site Reliability Engineer, you will bridge the gap between development and operations, implementing automation and establishing best practices that enable our platform to scale efficiently while maintaining high availability.

We are seeking Staff SREs who are passionate about building and maintaining resilient systems at scale. Your mission will be to proactively find and analyze reliability problems across our stack, then design and implement software and systems to create step-function improvements.

You will design robust observability solutions, lead incident response, automate operational tasks, and continuously improve our infrastructure's reliability, all while mentoring and educating the broader engineering team to make reliability a core value at Replit.

Responsibilities

• Architect and Implement Observability: Design, build, and lead the implementation of comprehensive monitoring, logging, and tracing solutions. Create dashboards and metrics that provide real-time visibility into system health and performance, enabling proactive issue detection.

• Define and Drive Reliability Standards: Work with product and engineering teams to define, implement, and track Service Level Objectives (SLOs) and Service Level Indicators (SLIs). Build systems to monitor and report on these metrics, holding teams accountable and ensuring we maintain high reliability standards while balancing innovation speed.

• Lead Incident Management and Response: Act as a senior leader during high-impact incidents, guiding the team to rapid resolution. Conduct thorough, blameless post-mortems and drive the implementation of preventative measures. Develop and refine runbooks and build automation to reduce Mean Time To Recovery (MTTR).

• Drive Automation and Infrastructure as Code: Architect, build, and improve automation to eliminate toil and operational work. Design and maintain CI/CD pipelines and infrastructure automation using tools like Terraform or Pulumi. Create self-healing systems that can automatically respond to common failure scenarios.

• Optimize Performance on Kubernetes: Collaborate with core infrastructure and product teams to performance-tune and optimize our large-scale cloud deployments, with a deep focus on Kubernetes, Docker, and GCP. Identify and resolve performance bottlenecks, implement capacity planning strategies, and reduce latency across global regions.

• Debug and Harden Distributed Systems: Dive deep into debugging extremely difficult technical problems across the stack. Use your findings to design and implement long-term fixes that make our systems and products more robust, operable, and easier to diagnose.

• Provide Staff-Level Guidance: Review feature and system designs from across the company, acting as a key owner for the reliability, scalability, security, and operational integrity of those designs.

• Educate and Mentor: Educate, mentor, and hold accountable the broader engineering team to improve the reliability of our systems, making reliability a core value of the Replit engineering culture.

• Build and Integrate: Write high-quality, well-tested code in Python or Go to meet the needs of your customers, whether it's building new internal tools or integrating with third-party vendors.

Required Skills and Experience

• 8-10 years of experience in Site Reliability Engineering or similar roles (e.g., DevOps, Systems Engineering, Infrastructure Engineering).

• Strong programming skills in languages like Python or Go. You write high-quality, well-tested code.

• Deep understanding of distributed systems. You’ve designed, built, scaled, and maintained production services and know how to compose a service-oriented architecture.

• Deep experience with container orchestration platforms, specifically Kubernetes, and cloud-native technologies.

• Proven track record of designing, implementing, and maintaining sophisticated monitoring and observability solutions (e.g., metrics, logging, tracing).

• Strong incident management skills with extensive experience leading incident response for complex systems and demonstrated critical thinking under pressure.

• Experience with infrastructure as code (e.g., Terraform, Pulumi) and configuration management tools.

• Excellent written and verbal communication skills, with an ability to explain complex technical concepts clearly and simply and a bias toward open, transparent cultural practices.

• Strong interpersonal skills, with experience working with and mentoring engineers from junior to principal levels.

• A willingness to dive into understanding, debugging, and improving any layer of the stack.

• You're passionate about making software creation accessible and empowering the next generation of builders.

Bonus Points

• Deep experience with Google Cloud Platform (GCP) services and tools.

• Expert-level knowledge of modern observability platforms (e.g., Prometheus, Grafana, Datadog, OpenTelemetry).

• Experience designing and building reliable systems capable of handling high throughput and low latency.

• Significant experience with Go and Terraform.

• Familiarity with working in rapid-growth, startup environments.

• Experience writing company-facing blog posts and training materials.

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Anthropic is seeking an exceptional Senior Staff Software Engineer to join the Claude Developer Platform team and serve as the senior-most individual contributor across API Engineering. The Claude API has seen rapid growth and adoption by companies of all sizes to build AI applications with our industry-leading models.

This role sets the technical direction for the systems that make Claude accessible to developers, enterprises, and partners at scale. You will operate at the intersection of technical strategy and execution, partnering closely with Research, Inference, Platform, Infrastructure, and Safeguards to ensure the Claude API is reliable, capable, and positioned to grow with Anthropic's ambitions.

Responsibilities

• Define and drive multi-year technical strategy for the Claude API, setting direction across API Core, Capabilities, Knowledge, Distributability, and Agents.

• Identify and personally lead the highest-complexity, highest-impact engineering initiatives spanning multiple teams.

• Serve as the primary technical decision-maker for major architectural decisions with org-wide scope.

• Partner with Research to evaluate and integrate frontier capabilities; work with Inference and Platform for reliable delivery at scale; collaborate with Infrastructure and Safeguards for reliability, security, and responsible deployment.

• Mentor and develop Staff-level engineers across the org.

• Drive alignment across Product, GTM, Safety, and beyond while proactively identifying and addressing systemic technical risks.

You may be a good fit if you:

• Have 12+ years of engineering experience with a clear track record operating at Staff or Senior Staff level.

• Have demonstrably shaped technical strategy for large-scale API or distributed systems platforms.

• Drive the highest-leverage technical outcomes without formal authority—you lead through influence, quality of thinking, and trust.

• Have deep expertise in distributed systems and API architecture, and are effective writing design docs, making architectural calls, and coding in critical paths.

• Are highly effective across org boundaries—you build trust with Research, Inference, Infrastructure, Safeguards, and business stakeholders alike.

• Bring strong product instincts and a craftsperson's approach to API design; you communicate clearly with both technical and non-technical audiences.

Technical Stack

• Languages: Python, TypeScript

• Frameworks: FastAPI, React

• Infrastructure: GCP, Kubernetes, Cloud Run, AWS, Azure

• Databases: PostgreSQL (AlloyDB), Vector Stores, Firestore

• Tools: Feature Flagging, Prometheus, Grafana, Datadog

Logistics

• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.

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

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

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

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We are seeking Senior Infrastructure Engineers who are passionate about building and maintaining resilient systems at scale. Your mission will be to proactively find and analyse reliability problems across our stack, then design and implement software and systems to address them. You will build robust monitoring solutions, automate operational tasks, and continuously improve our infrastructure's reliability.

You Will:

• Drive Automation and Infrastructure as Code: Build and improve automation to eliminate toil and operational work. Maintain CI/CD pipelines and infrastructure automation using tools like Terraform or Pulumi. Create self-healing systems that can automatically respond to common failure scenarios.
• Optimise Performance and Infrastructure: Collaborate with core infrastructure and product teams to performance tune and optimise our cloud deployments (Kubernetes, Docker, GCP). Identify and resolve performance bottlenecks and implement capacity planning strategies.
• Elevate Developer Experience: Design and implement improvements to our build, test, and deployment systems to make software delivery faster, safer, and more reliable for all engineers.
• Drive Cross-Team Improvements: Partner with service owners across Replit to understand their pain points, and collaborate on implementing build/test/deploy enhancements within their specific services.
• Build Shared Tooling: Create and maintain centralized tooling and automation that improves the engineering lifecycle, from local development to production monitoring.
• Debug and Harden Systems: Dive deep into debugging difficult technical problems, making our systems and products more robust, operable, and easier to diagnose.
• Collaborate on Design Reviews: Participate in feature and system design reviews, contributing expertise on security, scale, and operational considerations.
• Build and Integrate: Write high-quality, well-tested code to meet the needs of your customers, including building pipelines to integrate with 3rd party vendors.

Required Skills and Experience:

• 4+ years of experience in Site Reliability Engineering or similar roles (DevOps, Systems Engineering, Infrastructure Engineering).
• Strong programming skills in languages like Python or Go.
• You write high-quality, well-tested code.
• Solid understanding of distributed systems. You've built, scaled, and maintained production services and understand service-oriented architecture.
• Experience with container orchestration platforms (Kubernetes) and cloud-native technologies.
• Experience implementing and maintaining monitoring/observability solutions, with strong skills in debugging and performance tuning.
• Strong incident management skills with experience participating in incident response and demonstrated critical thinking under pressure.
• Experience with infrastructure as code (e.g., Terraform) and configuration management tools.
• Excellent written and verbal communication skills, with an ability to explain technical concepts clearly.
• A willingness to dive into understanding, debugging, and improving any layer of the stack.
• You're passionate about making software creation accessible and empowering the next generation of builders.

Bonus Points:

• Experience with Google Cloud Platform (GCP) services and tools.
• Knowledge of modern observability platforms (Prometheus, Grafana, Datadog, etc.).
• Experience building reliable systems capable of handling high throughput and low latency.
• Experience with Go and Terraform.
• Familiarity with working in rapid-growth environments.

_This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday._

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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We are seeking SREs who are passionate about building and maintaining resilient systems at scale. Your mission will be to design and implement robust monitoring solutions, automate operational tasks, and continuously improve our infrastructure's reliability and performance.

Responsibilities

• Design and Implement Observability Solutions: Develop comprehensive monitoring and alerting systems using modern observability tools. Create dashboards and metrics that provide real-time visibility into system health and performance. Implement logging strategies that enable quick problem identification and resolution.

• Drive Automation and Infrastructure as Code: Architect and implement infrastructure automation solutions using tools like Terraform, Ansible, or Pulumi. Design and maintain CI/CD pipelines that enable reliable and consistent deployments. Create self-healing systems that can automatically respond to common failure scenarios.

• Establish SLOs and SLIs: Work with product and engineering teams to define and implement Service Level Objectives (SLOs) and Service Level Indicators (SLIs). Build systems to track and report on these metrics, ensuring we maintain high reliability standards while balancing innovation speed.

• Incident Management and Response: Lead incident response efforts, conducting thorough post-mortems, and implementing improvements to prevent future occurrences. Develop and maintain runbooks for critical services. Build tools and processes that reduce Mean Time To Recovery (MTTR).

• Performance Optimization: Identify and resolve performance bottlenecks across our infrastructure. Implement capacity planning strategies and optimize resource utilization. Work on reducing latency and improving system efficiency across global regions.

Requirements

• 4-8 years of experience in Site Reliability Engineering or similar roles (DevOps, Systems Engineering, Infrastructure Engineering)

• Strong programming skills in languages commonly used for automation (Python, Go, or similar)

• Deep understanding of distributed systems

• Experience with container orchestration platforms (Kubernetes) and cloud-native technologies

• Proven track record of implementing and maintaining monitoring/observability solutions

• Strong incident management skills with experience leading incident response

• Experience with infrastructure as code and configuration management tools

Bonus Points

• Experience with Google Cloud Platform (GCP) services and tools

• Knowledge of modern observability platforms (Prometheus, Grafana, Datadog, etc.)

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

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

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As a Staff Product Engineer on Replit’s Product Platform team, you’ll build the shared product systems and primitives that power Replit’s core experiences — enabling product teams to ship faster and helping users (and agents) build better software.

What you’ll do

• Lead major cross-team platform initiatives, taking foundational systems from 0 → 1 and scaling them to support millions of users

• Build shared, extensible Agent primitives that Replit Agent can reuse safely and consistently (Meta Programming)

• Identify the highest-leverage technical bottlenecks (performance, reliability, correctness, abuse, observability), then design and ship solutions for our scale

• Raise the bar for engineering excellence through architecture reviews, code quality, reliability standards, and mentorship

• Partner across teams to improve platform adoption, ergonomics, and velocity — turning platform work into measurable outcomes

Core areas you’ll work on

• Agents and Replit users depend on us to build applications (e.g. Connectors framework, Content/configuration primitives (CMS + product surfaces), Data/analytics/events + experimentation primitives)

• Replit Agent as a principal in third party systems. Agent can be fully used within ChatGPT and publishes straight to the iOS app store. We’ll be doing loads of that.

• Platform product teams rely on us to ship consistently (e.g. Identity & Access platform (SSO/SCIM), Localization/i18n platform, Notifications & communications platform)

• Core web platform infrastructure (e.g. performance & page load optimization, observability and debugging workflows, caching strategy and reliability)

Required skills and experience

• 7+ years of professional software engineering experience

• Understanding of the full agentic software development stack, helping coding agents build, test and review correct code.

• Strong track record leading complex projects with cross-functional stakeholders

• Experience building and operating platform systems that other teams depend on

• Experience operating and scaling systems in production (reliability, performance, incidents, on-call readiness)

• Strong product judgment: you can balance UX, speed, correctness, and long-term maintainability

• Comfort working in modern web stacks such as TypeScript, React, Node.js, Postgres

Bonus points

• Experience working in environments with a high engineering bar (or a fast-growing startup where you shipped fast _without_ burning out quality)

• Experience with platform and distributed systems patterns (queues, workflows, caching, rate limiting, async processing)

• Familiarity with systems like Redis, Postgres, Workflow engines (e.g. Temporal), Auth and enterprise identity (SSO, SCIM), Abuse protection and edge systems (Cloudflare), Cloud platforms (GCP), Observability (Datadog, Sentry), Localization, Experimentation and event pipelines (Statsig, Segment, analytics/event tracking)

Example Projects You’ll Work On

• Connectors platform for agents — ship a secure connector framework (OAuth/permissions/data access) so agents can integrate with Slack/Notion/GitHub/etc.

• Agent-facing external surfaces — own high-quality embedded experiences (desktop/extension/embeds) that let agents act in-context across tools

• Safety + abuse controls for agent actions — design permissioning, rate limits, and policy enforcement so agents can operate safely at scale

• Real-time notifications platform — design in-app/email surfaces + build reliable delivery/fanout, preferences, and observability

• Core web platform performance + caching — improve latency and reliability via caching strategy (Redis), profiling, and safe fallbacks

• Events + experimentation primitives — standardize tracking/metrics + feature flags/rollouts so teams can ship safely and measure impact

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The nature of software development has changed and Replit is at the forefront of that revolution. The product platform team builds and scales the primitives that Replit Agent uses to empower over 40 million users to build anything they want.

This role is ideal for a senior platform-minded web engineer who's shipped at scale, thrives in high-ownership environments, and can define what “good” looks like across reliability, performance, and developer experience.

We've hit a significant scale and have escape velocity. A number of our systems need to be scaled and rebuilt, so you'll get to build these out for 0 → 1 → huge scale quickly.

You'll work closely with product other engineers, platform engineers, designers, product managers, and go-to-market partners to deliver foundational capabilities that unlock entire categories of product development.

This is why we require product engineers with a strong product sense and past distributed systems experience that are excited about building at scale platform primitives!

Responsibilities

• Lead major cross-team platform initiatives, taking foundational systems from 0 → 1 and scaling them to support millions of users
• Build shared, extensible Agent primitives that Replit Agent can reuse safely and consistently (Meta Programming)
• Identify the highest-leverage technical bottlenecks (performance, reliability, correctness, abuse, observability), then design and ship solutions for our scale
• Raise the bar for engineering excellence through architecture reviews, code quality, reliability standards, and mentorship
• Partner across teams to improve platform adoption, ergonomics, and velocity — turning platform work into measurable outcomes

Core areas you'll work on

• Agents and Replit users depend on us to build applications (e.g. Connectors framework, Content/configuration primitives (CMS + product surfaces), Data/analytics/events + experimentation primitives)
• Replit Agent as a principal in third party systems. Agent can be fully used within ChatGPT and publishes straight to the iOS app store. We’ll be doing loads of that.
• Platform product teams rely on us to ship consistently (e.g. Identity & Access platform (SSO/SCIM), Localization/i18n platform, Notifications & communications platform)
• Core web platform infrastructure (e.g. performance & page load optimization, observability and debugging workflows, caching strategy and reliability)

Requirements

• 5+ years of professional software engineering experience
• Understanding of the full agentic software development stack, helping coding agents build, test and review correct code
• Strong track record leading complex projects with cross-functional stakeholders
• Experience building and operating platform systems that other teams depend on
• Experience operating and scaling systems in production (reliability, performance, incidents, on-call readiness)
• Strong product judgment: you can balance UX, speed, correctness, and long-term maintainability
• Comfort working in modern web stacks such as TypeScript, React, Node.js, Postgres

Bonus points

• Experience working in environments with a high engineering bar (or a fast-growing startup where you shipped fast _without_ burning out quality)
• Experience with platform and distributed systems patterns (queues, workflows, caching, rate limiting, async processing)
• Familiarity with systems like Redis, Postgres, Workflow engines (e.g. Temporal), Auth and enterprise identity (SSO, SCIM), Abuse protection and edge systems (Cloudflare), Cloud platforms (GCP), Observability (Datadog, Sentry), Localization, Experimentation and event pipelines (Statsig, Segment, analytics/event tracking)
• Excited about the future of programming, including agent workflows and developer tools
• Exposure to agent ecosystems (e.g. MCP-style patterns, tool integrations, structured automation)

Example Projects You’ll Work On

• Connectors platform for agents — ship a secure connector framework (OAuth/permissions/data access) so agents can integrate with Slack/Notion/GitHub/etc.
• Agent-facing external surfaces — own high-quality embedded experiences (desktop/extension/embeds) that let agents act in-context across tools
• Safety + abuse controls for agent actions — design permissioning, rate limits, and policy enforcement so agents can operate safely at scale
• Real-time notifications platform — design in-app/email surfaces + build reliable delivery/fanout, preferences, and observability
• Core web platform performance + caching — improve latency and reliability via caching strategy (Redis), profiling, and safe fallbacks
• Events + experimentation primitives — standardize tracking/metrics + feature flags/rollouts so teams can ship safely and measure impact

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Join our Infrastructure Engineering team and help ensure the reliability, scalability, and performance of Replit's infrastructure that serves millions of developers worldwide. As a Staff Infrastructure Engineer, you will bridge the gap between development and operations, implementing automation and establishing best practices that enable our platform to scale efficiently while maintaining high availability.

Responsibilities:

• Drive Automation and Infrastructure as Code: Architect, build, and improve automation to eliminate toil and operational work. Design and maintain CI/CD pipelines and infrastructure automation using tools like Terraform or Pulumi. Create self-healing systems that can automatically respond to common failure scenarios.

• Optimise Performance and Infrastructure: Collaborate with core infrastructure and product teams to performance tune and optimise our cloud deployments (Kubernetes, Docker, GCP). Identify and resolve performance bottlenecks, implement capacity planning strategies, and reduce latency across global regions.

• Elevate Developer Experience: Design and implement improvements to our build, test, and deployment systems to make software delivery faster, safer, and more reliable for all engineers.

• Drive Cross-Company Improvements: Partner directly with service owners across Replit to understand their pain points, and collaborate on implementing build/test/deploy enhancements within their specific services.

• Build Shared Tooling: Create and maintain centralized tooling and automation that improves the entire engineering lifecycle, from local development to production monitoring.

• Debug and Harden Systems: Dive deep into debugging extremely difficult technical problems, making our systems and products more robust, operable, and easier to diagnose.

• Provide Staff-Level Guidance: Review feature and system designs, acting as an owner for the security, scale, and operational integrity of those designs.

• Educate and Mentor: Educate, mentor, and hold accountable the engineering team to improve the reliability of our systems, making reliability a core value of the Replit engineering culture.

• Build and Integrate: Write high-quality, well-tested code to meet the needs of your customers, including building pipelines to integrate with 3rd party vendors.

Required Skills and Experience:

• 8-10 years of experience in Infrastructure Engineering or similar roles (DevOps, Systems Engineering, Site Reliability Engineering).

• Strong programming skills in languages like Python or Go.

• You write high-quality, well-tested code.

• Deep understanding of distributed systems. You've designed, built, scaled, and maintained production services and know how to compose a service-oriented architecture.

• Experience with container orchestration platforms (Kubernetes) and cloud-native technologies.

• Proven track record of implementing and maintaining monitoring/observability solutions, with strong skills in debugging and performance tuning.

• Strong incident management skills with experience leading incident response and demonstrated critical thinking under pressure.

• Experience with infrastructure as code (e.g., Terraform) and configuration management tools.

• Excellent written and verbal communication skills, with an ability to explain technical concepts clearly and simply and a bias toward open, transparent cultural practices.

• Strong interpersonal skills, with experience working with engineers from junior to principal levels.

• A willingness to dive into understanding, debugging, and improving any layer of the stack.

• You're passionate about making software creation accessible and empowering the next generation of builders.

Bonus Points:

• Deep experience with Google Cloud Platform (GCP) services and tools.

• Knowledge of modern observability platforms (Prometheus, Grafana, Datadog, etc.).

• Experience designing and building reliable systems capable of handling high throughput and low latency.

• Experience with Go and Terraform.

• Familiarity with working in rapid-growth environments.

• Experience writing company-facing blog posts and training materials.

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

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Location

San Francisco

Employment Type

Full time

Department

Applied AI

Compensation

• $255K – $385K

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.

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.

About the Team

We’re hiring Software Engineers to join our Applied Infrastructure organization, and more specifically for our Database Systems and Online Storage teams. These teams operate with a high degree of autonomy and are deeply collaborative, with a shared mandate to raise the bar on safety, reliability, and velocity across OpenAI.

About the Role

You’ll be at the heart of scaling and hardening the infrastructure that powers some of the most widely used AI systems in the world. You’ll help ensure our systems are highly reliable, observable, performant, and secure—so researchers can iterate quickly, and products like ChatGPT and the OpenAI API can serve millions of users safely and effectively.

This is a hands-on, high-leverage role for engineers who thrive on ownership, love solving deep technical problems across the stack, and want to work on systems that support cutting-edge research and deploy at global scale. You’ll play a key part in shaping technical direction, proactively improving system resilience, and collaborating closely with infra, product, and research teams to turn complex infrastructure into reliable platforms.

In this role you will:

• Design, build, and operate reliable and performant systems used across engineering.

• Identify and fix performance bottlenecks and inefficiencies, ensuring our infrastructure can scale to the next order of magnitude.

• Dig deep to resolve complex issues.

• Continuously improve automation to reduce manual work. Improve internal tooling and our developer experience.

• Contribute to incident response, postmortems, and the development of best practices around system reliability and scalability.

You might thrive in this role if you:

• Have a deep understanding of distributed systems principles and a proven track record in building and operating scalable and reliable systems.

• Have a keen eye for performance and optimization. You know how to squeeze the most performance out of complex, globally-distributed systems.

• Have experience operating orchestration systems such as Kubernetes at scale and building abstractions over cloud platforms

• Are comfortable working in Linux environments, and with tools like Kubernetes, Terraform, CI/CD pipelines, and modern observability stacks.

• Are experienced in collaborating with cross-functional teams to ensure that reliability and scalability are considered in the design and development of new features and services.

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

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

• Are comfortable with ambiguity and rapid change.

Qualifications:

• 4+ years of relevant industry experience, with 2+ years leading large scale, complex projects or teams as an engineer or tech lead

• A passion for distributed systems at scale with a focus on reliability, scalability, security, and continuous improvement.

• Proven experience as an reliability engineer, production engineer, or a similar role in a fast-paced, rapidly scaling company.

• Strong proficiency in cloud infrastructure (like AWS, GCP, Azure) and IaC tools such as Terraform. Proficiency in programming / scripting languages.

• Experience with containerization technologies and container orchestration platforms like Kubernetes.

• Experience with observability tools such as Datadog, Prometheus, Grafana, Splunk and ELK stack.

• Experience with microservices architecture and service mesh technologies.

• Knowledge of security best practices in cloud environments.

• Strong understanding of distributed systems, networking, and database technologies.

• Excellent problem-solving skills and ability to work in a fast-paced environment.

About OpenAI

OpenAI is an AI research and deployment company that aims to develop and apply general-purpose technologies to align with human values.

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Microsoft AI are looking for a talented Member of Technical Staff, HPC Operations Engineering Manager to join their MAI SuperIntelligence Team. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising haptic entertainment technology. You'll work directly with leadership to shape the company's direction in the cinema and simulation markets.

About the Role

In this role, you'll lead a team of Site Reliability Engineers who blend software engineering and systems engineering to keep our large-scale distributed AI infrastructure reliable and efficient. You'll work closely with ML researchers, data engineers, and product developers to design and operate the platforms that power training, fine-tuning, and serving generative AI models.

Accountabilities

• Conduct in-depth market research across cinema and simulation sectors, identifying emerging trends, competitive threats, and partnership opportunities that directly inform the company's quarterly strategic planning sessions
• Lead a team of experienced SREs to ensure uptime, resiliency and fault tolerance of AI model training and inference systems

The Candidate we're looking for

Experience:

• 8+ years technical engineering experience with Site Reliability Engineering, DevOps, or Infrastructure Engineering Leadership roles

Technical skills:

• Kubernetes, Docker, and container orchestration
• Public cloud platforms like Azure/AWS/GCP and infrastructure-as-code

Personal attributes:

• Low ego individual

Benefits

• Competitive salary
• Benefits and other compensation

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What you'll do

You will set up and maintain CI/CD pipelines for builds and testing, support and evolve Chromium browser development infrastructure, configure monitoring and alerting systems, manage cloud infrastructure, develop automation scripts, and ensure high availability, resilience, and security of development infrastructure.

What you need

You will need 3+ years in software development infrastructure, preferably Chromium browsers, hands-on DevOps and SRE experience, including monitoring and incident management, proficiency in k8s, Terraform, Datadog, Sentry, AWS, Unix, TeamCity, strong CI/CD implementation skills, and ability to thrive in Agile teams with excellent communication.

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What you'll do

• Build and Operate Scalable Systems: Support the development, deployment, and maintenance of distributed, cloud-based infrastructure leveraging modern open-source technologies (AWS/GCP/Azure, Kubernetes, Terraform, Docker, etc.).
• Platform Operations and Automation: Develop automation scripts, tools, and workflows to reduce manual effort, improve system reliability, and optimize infrastructure operations (reducing MTTD and MTTR).

What you need

• 1-2 years of experience in Cloud Computing (AWS preferred), Virtualization, and Containerization using Kubernetes, Docker, and/or VMWare.

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What you'll do

This DevOps Developer role in the Software Quality organization works with Quality Assurance and Game Development teams to create tools and technical strategies. Our goal is to improve automation infrastructure and increase efficiencies in the Game Development and QA processes.

• Operate and maintain tools, ensuring exceptional uptime, secure environments.
• First responder and driving continuous improvement based on root cause analysis.

What you need

• 5+ year experience in managing distributed, scalable and resilient high-performing systems

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