Engineering Manager, Site Reliability Engineering

Baseten

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

Posted 11/7/2026full-timeLondon • United KingdomMid-LevelSenior💰 £185,000 - £276,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing Site Reliability Engineering teams, with a strong focus on Kubernetes infrastructure, observability tooling, and incident management. Proven ability to drive technical decisions, foster team accountability, and enhance operational reliability across multi-cloud environments.

Highest-signal resume keywords

Kubernetes ManagementObservability ToolingIncident Response LeadershipInfrastructure-as-CodeTeam Building and Development

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Applicant Tracking System Keywords

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Hard Skills

KubernetesInfrastructure-as-CodeObservability-as-CodeMetricsLoggingDashboardsAlerting PipelinesGitOps WorkflowsMulti-Cloud InfrastructureProduction Infrastructure

Soft Skills

Strong Communication SkillsCollaboration Across Time ZonesInfluencing Without Authority

Tools & Technologies

VictoriaMetricsPrometheusLokiELKGrafanaTerraformHelmFlux CDArgoCDIncident Management Platforms

Industry Keywords

Site Reliability EngineeringCloud InfrastructurePlatform EngineeringIncident ManagementGPU Infrastructure

Tech Stack

Tools & technologies

CloudFluxGrafanaKubernetesNode.jsPrometheusTerraform

About the role

Key responsibilities & impact

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 ensure 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 as code, including metrics, logging, dashboards, and alerting.
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 the 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

What you’ll need

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.
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

Comp & perks

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.