2 months ago
London, United KingdomStaff+
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 provides a GPU-accelerated cloud for AI training and inference, VFX, and rendering, with bare-metal instances, Kubernetes orchestration, and managed services to scale workloads. It sells on-demand and reserved capacity to AI labs, startups, and enterprises, and offers SaaS tools and hands-on support for deployment. Founded in 2017 and headquartered in New York, it is publicly traded on Nasdaq under the ticker CRWV.