Engineering Manager, Site Reliability Engineering

Baseten; Greater London; On-site; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Competitive compensation and equity

Flexible PTO with Winter Break

Paid parental leave

Fertility and family-building stipend

Job summary

Baseten is hiring a Lead Site Reliability Engineer to build and scale our London-based SRE team. You will own reliability across multi‑cloud Kubernetes infrastructure, drive incident response, and shape observability and runbooks.

This role requires proven leadership, strong Kubernetes and IaC expertise, and the ability to collaborate across time zones. In this role you will set standards for on-call rotations, develop post‑mortems, and partner with US SRE leadership to implement follow‑the‑sun

Qualifications

• 4+ years of experience directly managing engineers in an SRE, cloud infra, or platform engineering context.
• Hands-on experience with Kubernetes across multi-cloud environments (EKS, GKE or similar).
• Strong background building and maintaining scalable production infrastructure.
• Strong observability background: metrics, logging, dashboards, and alerting.
• Experience with infrastructure-as-code (Terraform, Helm) and GitOps workflows (Flux CD, ArgoCD).
• Experience leading incident response, post-mortems, and on-call rotations.
• Proven track record of recruiting and growing engineering talent.
• Strong written and verbal communication across time zones.
• Willingness to learn about ML infrastructure (not required).
• Ability to work onsite in London office 3 days a week.

Responsibilities

• Recruit, hire, and grow Baseten's first SRE team in London, with coaching, feedback, and career development.
• Set performance expectations and foster ownership, accountability, and continuous improvement.
• Own reliability of Baseten's multi‑cloud Kubernetes infra during your team's hours, including incident response and post‑mortems.
• Partner with US SRE leadership to design follow-the-sun on-call rotations and handoff processes.
• Escalation point for major incidents; drive resolution and capture lessons learned.
• Drive technical decisions through reviews and architectural discussions; translate roadmap into priorities.
• Lead the team in defining SLOs/SLIs and building observability infrastructure as code.
• Create runbooks and automated mitigations from recurring failures and tribal knowledge.
• Collaborate with engineering, capacity, and product teams to raise operational floor across the company.

Skills

SRE leadership

Kubernetes

Cloud infra

Observability tooling

Infrastructure as code

Incident response

Recruiting & mentoring

Communication across time zones

ML infra openness

On-site London presence

Education

Bachelor's degree in Computer Science

Tools

Terraform

Helm

Flux CD

ArgoCD

Grafana

Prometheus

Loki

ELK

Job description

ABOUT BASETEN

Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting‑edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.

RESPONSIBILITIES

• Recruit, hire, and grow Baseten's first SRE team in London, with ongoing coaching, feedback, and career development through regular 1:1s.

• Set clear performance expectations, hold a high bar, and foster a culture of ownership, accountability, and continuous improvement.

• Own the reliability of Baseten's multi‑cloud Kubernetes infrastructure during your team's hours, including incident response, post‑mortems, and remediation tracking.

• Partner with SRE leadership in the US to design follow‑the‑sun on‑call rotations, escalation paths, and handoff processes.

• Serve as the escalation point for major incidents, drive resolution with urgency, and make sure the team learns from every incident.

• Drive technical decisions through design reviews, code reviews, and architectural discussions. Turn the reliability roadmap into clear team priorities and milestones, and hold the team accountable for delivering them.

• Lead the team in defining and instrumenting SLOs and SLIs, and in building observability infrastructure (metrics, logging, dashboards, and alerting) as code.

• Turn recurring failure patterns and tribal knowledge into runbooks, automated mitigations, and self‑healing systems.

• Partner with engineering, forward deployed, capacity, and product teams to raise the operational floor across the company, and represent your team's progress, capacity, and tradeoffs clearly to leadership.

• Ensure the fleet is healthy and operational across all clusters. Interact with vendors and internal teams to remediate node failures and reliability concerns.

• Exercise and encourage good judgment on tooling and architectural tradeoffs, with a bias against unnecessary complexity.

REQUIREMENTS

• 4+ years of experience directly managing engineers in an SRE, cloud infrastructure, or platform engineering context.

• Extensive hands‑on experience with Kubernetes, with the ability to engage credibly in architectural discussions and code reviews (multi‑cloud experience across EKS, GKE, or similar is a strong plus).

• Strong background building and maintaining scalable production infrastructure.

• Strong foundation in observability tooling: metrics (VictoriaMetrics, Prometheus), logging (Loki, ELK), dashboards (Grafana), and alerting pipelines.

• Experience with infrastructure‑as‑code (Terraform, Helm) and GitOps workflows (Flux CD, ArgoCD).

• Experience leading incident response, running post‑mortems, and building on‑call rotations and runbooks.

• Track record of recruiting and growing engineering talent.

• Strong written and verbal communication skills, with the ability to collaborate across time zones and influence without direct authority.

• Openness to learning about ML infrastructure. Prior machine learning experience is not required.

• Ability to work onsite in our London office 3 days a week.

NICE TO HAVE

• Experience building a new team or establishing an engineering presence in a new region.

• Observability-as‑code experience.

• Background in multi‑cloud and hybrid environments.

• Familiarity with incident management platforms incident.io or similar.

• Background in GPU infrastructure, or in diagnosing runtime issues around latency, memory behaviour, GPU utilisation, and concurrency.

BENEFITS

• Competitive compensation, including meaningful equity

• (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents

• Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)

• Paid parental leave

• Fertility and family‑building stipend through Carrot

• (U.S. only) Company‑facilitated 401(k)

• Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.

At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).