Staff Software Engineer
CoreWeave
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Benefits offered by this job
Job summary
CoreWeave is the essential cloud for AI, delivering a scalable data platform and infrastructure engineering support for production-grade AI workloads. The Staff Software Engineer will own reliability with Kubernetes-based systems across regions, focusing on deployment, security, and performance.
You will shape end-to-end pipelines and incident response, ensuring uptime targets and scalable architecture. With a strong emphasis on observability, IaC, and distributed systems, you’ll influence
Qualifications
- 10+ years of hands-on experience in Platform/Infrastructure Engineering or building highly scalable distributed systems.
- Familiarity with data platforms and data-intensive workloads, including distributed processing and streaming (Spark, Airflow, Kafka, Flink).
- Deep expertise in Kubernetes cluster design, operations, and production troubleshooting across containerized services.
- Proven track record building and operating robust CI/CD pipelines (Argo CD, GitHub Actions).
- Experience owning mission-critical systems with high availability (≥99.99%), incident response, SLI/SLO/SLA definitions, and blameless postmortems.
- Hands-on experience with large-scale distributed systems, databases, and backend APIs.
- Designing and operating geo-replicated, active-active, multi-region systems with traffic routing and failover strategies.
- Strong observability capabilities using metrics, logging, and tracing (Prometheus/Grafana/OpenTelemetry).
- Proficiency with IaC tooling (Helm, Terraform, Pulumi) and automated environment provisioning.
- System performance tuning, capacity planning, and resource optimization in distributed environments.
- Security best practices in cloud-native environments, including secrets management and network policies.
Responsibilities
- Take end-to-end ownership of the reliability and performance of the Kubernetes-based data platform.
- Architect and operate highly available, multi-region systems meeting uptime and latency standards.
- Scale infrastructure, optimize deployment pipelines, and strengthen security posture.
- Build, test, and manage scalable systems that are production-ready from day one.
Skills
Tools
Job description
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more atwww.coreweave.com.
The Platform & Infrastructure Engineering team sits at the core of our Data Infrastructure organization, responsible for the availability, reliability, scalability, and security of the company’s data platform. We build and operate the foundational systems that underpin data ingestion, transformation, analytics, and internal AI workloads at scale — delivering with production-grade discipline across mission-critical services. Our work is guided by a commitment to automation, deep observability, and resilience, supporting stringent uptime requirements that the broader organization depends on.
As a Staff Software Engineer, you will take end-to-end ownership of the reliability and performance of our Kubernetes-based data platform. You will architect and operate highly available, multi-region systems designed to meet rigorous uptime and latency standards. Your day-to-day work will span scaling infrastructure, optimizing deployment pipelines, and strengthening our security posture — while playing a central role in building, testing, and managing scalable systems that are production-ready from day one.
- You bring 10+ years of hands-on experience in Platform Engineering, Infrastructure Engineering, or building highly scalable distributed systems — with a strong foundation in software design, development, and algorithmic problem-solving.
- Data Platform Experience: Familiarity operating data platforms or data-intensive workloads, including distributed processing and streaming frameworks such as Spark, Airflow, Kafka, or Flink.
- Kubernetes & Containerization: Deep expertise in Kubernetes cluster design, day-to-day operations, and production troubleshooting across containerized service environments.
- CI/CD Systems: Proven track record building and operating robust CI/CD pipelines using tools such as Argo CD and GitHub Actions.
- Production Ownership: Demonstrated experience owning mission-critical systems with high availability requirements (≥99.99% uptime), including incident response, SLI/SLO/SLA definition, error budget management, and blameless postmortems.
- Distributed Systems: Hands-on experience developing large-scale distributed systems, databases, and backend APIs.
- Multi-Region Architecture: Practical experience designing and operating geo-replicated, active-active, multi-region systems — with a solid grasp of traffic routing, failover strategies, and data consistency tradeoffs.
- Observability: Strong experience building and owning full-stack observability solutions, including metrics, logging, and distributed tracing using tools such as Prometheus, Grafana, and OpenTelemetry.
- Infrastructure as Code: Proficiency with IaC tooling such as Helm, Terraform, or Pulumi, and experience with automated environment provisioning.
- Performance & Capacity: Strong command of system performance tuning, capacity planning, and resource optimization in distributed environments.
- Cloud-Native Security: Hands-on experience applying security best practices in cloud-native settings, including secrets management, network policies, and vulnerability scanning.
- Regulated Environments: Experience working within compliance-driven environments and a working knowledge of regulatory frameworks such as GDPR, SOC 2, HIPAA, or SOX.
- Internal Developer Platforms: Background in designing and building internal developer platforms or self-service infrastructure tooling that empowers engineering teams to move faster and operate independently.
We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren’t a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk.
- You love building highly reliable systems that operate at scale
- You’re curious about how to continuously improve system resilience, security, and operations
- You’re an expert in diagnosing and solving complex distributed systems problems
At CoreWeave, we work hard, have fun, and move fast! We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:
- Be Curious at Your Core
- Act Like an Owner
- Empower Employees
- Deliver Best-in-Class Client Experiences
- Achieve More Together
We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!
The base salary range for this role is $207,000 to $275,000. 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).
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. The benefits below reflect our US-based offerings; for roles in other locations, benefits vary and are shared during the hiring process. These include:
- 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
California Consumer Privacy Act
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.
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
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