Key Responsibilities:

• Lead and mentor engineers, fostering a culture of collaboration and continuous improvement.
• Scale logging, tracing, and metrics platforms to support a global datacenter footprint.
• Develop and refine monitoring and alerting to enhance system reliability.
• Advise engineers across CoreWeave on optimal usage of Observability systems.
• Automate interactions with CoreWeave's Compute Infrastructure layer.
• Manage production clusters and ensure development teams follow best practices for deployments.

Required Qualifications:

• 7+ years of experience in Software Engineering, Site Reliability Engineering, DevOps, or a related field.
• Deep expertise across all observability pillars using tools like ClickHouse, Elastic, Loki, Victoria Metrics, Prometheus, Thanos and/or Grafana.
• Expertise in Kubernetes, containerization, and microservices architectures.
• Proven track record of leading incident management and post-mortem analysis.
• Excellent problem-solving, analytical, and communication skills.

Preferred Qualifications:

• Experience running and scaling observability tools as a cloud provider.
• Experience administering large-scale kubernetes clusters.
• Deep understanding of data-streaming systems.

The base salary range for this role is $188,000 to $250,000.

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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.

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Our team empowers internal and external users to understand, troubleshoot, and optimize complex AI workloads by transforming telemetry into actionable insights.

As a Senior Software Engineer on the Observability Insights team, you will lead the development of agentic interfaces and product experiences that sit atop CoreWeave's telemetry layer.

You'll design multi-tenant APIs, managed Grafana experiences, and MCP-based tool servers to help customers and internal teams interact with data in innovative ways.

Collaborating closely with PMs and engineering leadership, your work will shape the end-to-end observability experience and influence how people engage with cutting-edge AI infrastructure.

About the role

• 6+ years of experience in software or infrastructure engineering building production-grade backend systems and distributed APIs.

• Strong focus on developer-facing infrastructure, with a customer-obsessed approach to SDKs, CLIs, and APIs.

• Proficient in reliability engineering, including fault-tolerant design, SLOs, error budgets, and multi-tenant system resilience.

• Familiar with observability systems such as ClickHouse, Loki, VictoriaMetrics, Prometheus, and Grafana.

• Experienced in agentic applications or LLM-based features, including grounding, tool calling, and operational safety.

• Comfortable writing production code primarily in Go, with the ability to integrate Python components when needed.

• Collaborative experience in agile teams delivering end-to-end telemetry-to-insights pipelines.

Preferred

• Experience operating Kubernetes clusters at scale, especially for AI workloads.

• Hands-on experience with logging, tracing, and metrics platforms in production, with deep knowledge of cardinality, indexing, and query optimization.

• Experienced in running distributed systems or API services at cloud scale, including event streaming and data pipeline management.

• Familiarity with LLM frameworks, MCP, and agentic tooling (e.g., Langchain, AgentCore).

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!

We're in an exciting stage of hyper-growth that you will not want to miss out on.

We're not afraid of a little chaos, and we're constantly learning.

Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core

• Act Like an Owner

• Empower Employees

• Deliver Best-in-Class Client Experiences

• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking.

We foster an environment that encourages collaboration and 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!

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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.

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You'll contribute production-quality code in languages like Go and Python, while improving system reliability through enhanced monitoring, alerting, and incident response practices.

Day to day, you'll collaborate with cross-functional engineering teams to implement observability best practices, support production systems, and help optimize performance across large-scale infrastructure.

You will also participate in on-call rotations and contribute to continuous improvements based on real-world system behavior.

CoreWeave is looking for a talented software engineer to join our Observability team. You will be responsible for designing, building, and maintaining scalable systems that process and surface telemetry data across distributed environments.

The ideal candidate will have experience with Go and Python, as well as a strong understanding of system reliability and observability best practices.

In addition to your technical skills, you should be able to collaborate effectively with cross-functional teams and communicate complex technical concepts to non-technical stakeholders.

If you're passionate about building scalable systems and improving system reliability, we'd love to hear from you!

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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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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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