Engineering Manager, Site Reliability Engineering
This role asks for someone to start and lead a new reliability team in London, managing engineers while staying close to the technical work. A strong candidate brings years of hands on Kubernetes and production infrastructure experience, plus a record of hiring, coaching, and running incident response. The job blends people leadership with design reviews, observability work, and cross team coordination across time zones.
How it fits the AI era
The company runs inference for AI models, so reliability work directly supports live AI products. AI tools can help with alerting, log analysis, and drafting runbooks, but judgment during incidents, architectural tradeoffs, and coaching a team stay human. The role rewards people who reduce complexity and turn repeated failures into automated fixes.
How it builds AI experience
Working here means gaining exposure to ML infrastructure and GPU based serving, even though prior machine learning experience is not required. A candidate can build this by learning how inference workloads behave around latency, memory, and GPU use, and by practicing observability as code. Familiarity with incident tooling and multi cloud setups would strengthen the fit.
Worth showing
- Kubernetes at scale
- Team hiring and coaching
- Incident response leadership
- Observability as code
- Multi cloud infrastructure
This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.
About Baseten
High-performance cloud inference platform for deploying, serving, and scaling open-source and custom artificial intelligence models.
Engineering Manager, Site Reliability Engineering in London employer: present of AI
H Company is an exceptional employer for Product Designers, offering a dynamic work environment in London where innovation meets collaboration. With a strong focus on employee growth, the company encourages continuous learning and experimentation, particularly in the evolving field of AI design. The inclusive culture fosters open communication with users and cross-functional teams, ensuring that every designer's voice is heard and valued, making it a truly rewarding place to advance your career.
