Lead Baseten's first SRE team in London, focusing on reliability and operational excellence in a fast-growing AI company.
Posted by employer 2 days ago
First seen on Joblaze 1 day ago
Last verified on the company career page 1 day ago
Skills & Technologies
What you'll build
Must have
Nice to have
Practical constraints
Role intensity
10% coding — mostly leadership/strategy
Requirements
Not disclosed in this posting: compensation, visa sponsorship.
Benefits
Joblaze summary
The Engineering Manager for Site Reliability Engineering at Baseten will lead the establishment of the company's first SRE team in London, focusing on recruiting, coaching, and developing talent while ensuring the reliability of a multi-cloud Kubernetes infrastructure. Key skills include extensive experience with Kubernetes, observability tools, and infrastructure-as-code practices, alongside a strong background in incident management and team leadership. This role is suited for someone with at least four years of experience managing engineers in relevant fields, particularly those looking to build a new team in a fast-growing environment.
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From the original posting
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
Paid parental leave
Fertility and family-building stipend through Carrot
(U.S. only) Company-facilitated 401(k)
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