Engineering Manager, Site Reliability Engineering

Location: London, United Kingdom; hybrid with 3 days onsite in the London office each week

Salary: £185K–£276K, plus equity

Company

Baseten provides inference infrastructure, applied AI research, and developer tooling that help AI companies bring machine-learning models into production.

What you will do

• Recruit, hire, coach, and develop Baseten’s first SRE team in London.
• Own the reliability of multi-cloud Kubernetes infrastructure, including incident response, post-mortems, remediation tracking, and fleet health across clusters.
• Partner with US SRE leadership to design follow-the-sun on-call rotations, escalation paths, and handoff processes.
• Lead design reviews, code reviews, architectural discussions, and reliability roadmap delivery.
• Define and instrument SLOs and SLIs and build observability infrastructure covering metrics, logging, dashboards, and alerting as code.
• Turn recurring failures and operational knowledge into runbooks, automated mitigations, and self-healing systems while partnering across engineering, capacity, forward deployed, and product teams.

Requirements

• 4+ years of direct engineering management experience in an SRE, cloud infrastructure, or platform engineering context.
• Extensive hands-on Kubernetes experience with the ability to contribute to architecture discussions and code reviews.
• Strong experience building and maintaining scalable production infrastructure.
• Strong observability background with metrics tools such as VictoriaMetrics and Prometheus, logging tools such as Loki and ELK, Grafana dashboards, and alerting pipelines.
• Experience with infrastructure as code using Terraform and Helm and GitOps workflows using Flux CD or ArgoCD.
• Experience leading incident response, running post-mortems, and building on-call rotations and runbooks.
• Track record of recruiting and developing engineering talent.
• Strong written and verbal communication skills, including collaboration across time zones and influence without direct authority.
• Openness to learning ML infrastructure; prior machine-learning experience is not required.
• Ability to work onsite in the London office 3 days per week.

Nice to have

• Experience building a new team or establishing an engineering presence in a new region.
• Observability-as-code experience.
• Multi-cloud and hybrid-environment experience.
• Familiarity with incident management platforms such as incident.io.
• GPU infrastructure experience or experience diagnosing latency, memory behavior, GPU utilization, and concurrency issues.

Culture & Benefits

• Competitive compensation with meaningful equity.
• Flexible PTO and a company-wide Winter Break, with offices closed from Christmas Eve through New Year’s Day.
• Paid parental leave and a fertility and family-building stipend through Carrot.
• Exposure to a variety of ML startups for learning and networking.
• U.S.-only benefits include full medical, dental, and vision insurance coverage and company-facilitated 401(k).