At a Glance
- Tasks: Lead and grow Baseten's first SRE team, ensuring reliability of our multi-cloud Kubernetes infrastructure.
- Company: Join Baseten, a rapidly growing AI platform powering top companies like Notion and OpenEvidence.
- Benefits: Enjoy competitive pay, flexible PTO, and comprehensive health coverage for you and your family.
- Other info: Work onsite in London 3 days a week and connect with innovative ML startups.
- Why this job: Make a real impact in the AI space while developing your leadership skills in a dynamic environment.
- Qualifications: 4+ years managing engineers in SRE or cloud infrastructure; strong Kubernetes experience required.
The predicted salary is between 63000 - 77000 £ per year.
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, Open Evidence, 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 (Victoria Metrics, Prometheus), logging (Loki, ELK), dashboards (Grafana), and alerting pipelines.
- Experience with infrastructure-as-code (Terraform, Helm) and Git Ops workflows (Flux CD, Argo CD).
- 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).
B Engineering Manager, Site Reliability Engineering Baseten · London (Remote), GB Mid Kubernetes machine learning GBP 185k–276k/yr employer: ContentBuffer
ContentBuffer provides a unique opportunity for professionals to engage in meaningful work that directly impacts the public sector. With a focus on AI-driven solutions, employees can expect a collaborative environment that fosters growth and innovation.
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We think this is how you could land B Engineering Manager, Site Reliability Engineering Baseten · London (Remote), GB Mid Kubernetes machine learning GBP 185k–276k/yr
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We think you need these skills to ace B Engineering Manager, Site Reliability Engineering Baseten · London (Remote), GB Mid Kubernetes machine learning GBP 185k–276k/yr
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
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How to prepare for a job interview at ContentBuffer
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If ContentBuffer uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
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