3 hours ago
Responsibilities
- Drive the transition from monolithic to distributed architecture and design an agentic-ready platform supporting AI products and MCP server integrations.
- Write production-quality Python and build and optimize distributed compute services and workflow orchestration systems.
- Own CI/CD pipelines, automated testing, deployment strategy, observability, monitoring, alerting, incident response, performance, scaling, and reliability practices.
- Make architectural and technical decisions balancing immediate business needs with long-term platform goals.
- Mentor senior and mid-level engineers, establish engineering best practices, and guide prioritization across multiple teams.
- Collaborate with product, business, and senior engineering stakeholders to translate requirements into technical solutions.
- Interview and onboard new engineers.
Requirements
- 10+ years of software engineering experience, including experience in a staff-level engineering role.
- Broad expertise across deployment, CI/CD, automated testing, SRE, observability, incident response, and production reliability.
- Deep experience designing, building, and operating large-scale distributed backend systems end-to-end.
- Strong API and service-interface design skills for distributed services.
- Security-minded development experience, including authentication, authorization, OAuth, and secure-by-default practices.
- Expert-level Python development experience in production at scale.
- Strong Kubernetes experience with production workloads.
- Hands-on experience with workflow orchestration tools such as Temporal, Airflow, Kubeflow, or similar.
- Cloud platform expertise with AWS required; Azure and GCP experience beneficial.
- Experience with data-processing frameworks such as Spark, Athena, Ray, or similar.
- Track record of driving architectural transformations in growing companies.
- Strong technical communication, stakeholder management, leadership, problem-solving, mentorship, ownership, and customer focus.
Benefits
- Base benefits include medical, dental, and vision insurance fully paid by CoreWeave for eligible US-based full-time employees.
- Company-paid life insurance, voluntary supplemental life insurance, and short- and long-term disability insurance are offered.
- Flexible Spending Account, Health Savings Account, tuition reimbursement, and employee stock purchase program participation are available.
- Mental wellness benefits through Spring Health and family-forming support through Carrot are provided.
- Paid parental leave and flexible full-service childcare support through Kinside are offered.
- 401(k) with employer match and flexible paid time off are provided.
- Catered lunch is available each day at office and data center locations.
- The role offers a casual work environment and a culture focused on innovative disruption; benefits vary for non-US locations.
- The posted base salary range is £116,000 to £155,000, with additional discretionary bonus, equity awards, and benefits based on eligibility.
Tech Stack
About CoreWeave
CoreWeave is the Essential Cloud for AI. CoreWeave is a cloud purpose-built for scaling, supporting, and accelerating GenAI. We’re a comprehensive platform and strategic partner designed to tackle today—and tomorrow’s—challenges of deploying AI at scale. We manage the complexities of AI growth to make supercomputing accessible and push the limits of what’s possible. Our teams create modern solutions to support modern technology. Get the premier choice for working with GenAI workloads.