---
title: 'Engineering Manager, Site Reliability Engineering at Baseten'
canonical: 'https://feeny.ai/job/engineering-manager-site-reliability-engineering-baseten-london-677svqj2757z'
type: 'job'
last_seen: '2026-11-08'
---

# Engineering Manager, Site Reliability Engineering at Baseten

- **Company:** [Baseten](https://feeny.ai/companies/baseten)
- **Location:** London, United Kingdom
- **Compensation:** £185k–£276k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-11-07
- **Last confirmed live:** 2026-11-08
- **Apply:** https://jobs.ashbyhq.com/baseten/67a47938-5cb8-40c9-b027-3c2879f74c00

## 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](https://www.baseten.co/blog/announcing-our-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](http://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.

Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. 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).

## About Baseten

## Company Overview
- **One-liner**: Baseten is an AI infrastructure platform that provides high-performance inference infrastructure for deploying, optimizing, and managing AI models in production.
- **Entity Type**: Private (Series F)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2019
- **Founders**: Tuhin Srivastava (CEO), Amir Haghighat (CTO), Phil Howes (Co-Founder & Chief Scientist)

## Core Business
- **Primary industry/industries**: AI Infrastructure / Cloud Computing / MLOps
- **Target customers**: B2B, targeting AI-native companies, enterprises, and developers building and deploying large-scale AI applications. Notable customers include Abridge, Cursor, Lovable, Notion, and OpenEvidence.
- **Mission or purpose statement**: Provide the tooling, expertise, and hardware needed for teams to bring performant AI products to market as quickly and reliably as possible. The company's core belief is that "inference is everything" and that the future of AI will consist of millions of specialized models embedded into every product and workflow.

## Products & Services
- **Baseten Cloud**: A fully-managed, global deployment platform for AI models. Provides out-of-the-box performance optimizations, 99.99% uptime, and massive horizontal scale. Supports single-tenant and self-hosted (hybrid) deployments.
- **Baseten Inference Stack**: The proprietary, underlying technology that powers the platform. Includes custom model runtimes (LLMs, embeddings, voice AI, image generation), advanced caching, custom kernels, and cutting-edge performance research. Claims 2x higher throughput and 10% lower latency for embeddings (BEI).
- **Baseten Chains**: Enables granular hardware and autoscaling for compound AI systems, reportedly powering 6x better GPU usage and cutting latency in half.
- **Frontier Gateway (Pre-optimized Model APIs)**: Allows users to instantly test and deploy pre-optimized versions of the latest open-source, custom, and fine-tuned models (e.g., Qwen, DeepSeek, GLM, gpt-oss).
- **Forward Deployed Engineering (FDE)**: A service offering where Baseten engineers work side-by-side with key customers to build, optimize, and scale their models from prototype to production.
- **Training on Baseten**: Allows users to train models and deploy them in one click on the inference-optimized infrastructure.
- **Monetization API**: An inference API that allows model developers to monetize their models.

## Market Standing
- **Valuation/Market Cap**: Not privately disclosed, but the company has raised a total of **$585M** in funding.
- **Key Metric**: Annual revenue of **$7.0M** (as per LinkedIn). Total funding of **$585M**.
- **Notable Investors/Partners**: IVP, Spark Capital, Bond, CapitalG, South Park Commons, Greylock.
- **Growth Signals**:
    - Announced a **Series F** funding round (details not fully public in search results).
    - **Massive headcount growth**: 224.4% year-over-year, now employing 201 people.
    - **LinkedIn follower growth**: 199.9% year-over-year.
    - **Active job postings**: 112 open roles.
    - Acquired the company **Parsed**.
    - Backed by high-profile institutional investors including CapitalG (Alphabet's growth fund) and IVP.

## Competitive Advantages
- **High-Performance Inference Stack**: A proprietary, deeply optimized stack focusing on ultra-low latency and high throughput for the most demanding Gen AI workloads (voice AI, real-time streaming, complex compound AI systems).
- **Customer Obsession & Forward Deployed Engineering**: A hands-on, consulting-style approach with their FDE team, which builds deep, sticky relationships with high-value customers like Abridge and Notion.
- **Global & Hybrid Cloud Flexibility**: Offers both fully-managed cloud and self-hosted deployments within customer VPCs, providing scalability and security for enterprises with strict data governance requirements.
- **Founding Team's Deep Technical Credibility**: Built by former researchers and engineers who experienced the "deployment hell" of AI systems firsthand, giving them deep empathy and expertise in the problem they are solving.

## Strategic Focus
- **Dominating the "Inference-as-a-Service" Market**: The company's core thesis is that inference will become the largest market ever created, and they are building the infrastructure to power it.
- **Scaling for High-Volume, Mission-Critical Workloads**: Focus on reliability, performance, and cost-efficiency for customers who cannot afford downtime or latency (e.g., AI phone calls, real-time translation).
- **Deepening the Technical Stack**: Continuously investing in performance research (custom kernels, new decoding techniques) and expanding capabilities into new areas like voice AI and audio streaming.
- **Aggressive Hiring**: With 112 open positions and massive YoY growth, scaling the engineering, sales, and operations teams is a clear priority.

## Why Work Here
- **Hard Technical Problems**: Engineers work on the most challenging problems in modern infrastructure—model serving, low-level GPU optimization, networking, distributed systems, and observability. This is a high-agency, high-impact engineering environment.
- **High Growth Trajectory**: The company is experiencing explosive growth (224% headcount increase, active hiring). This offers significant career acceleration and ownership opportunities.
- **Strong Engineering Culture**: Founded by engineers, for engineers. The culture emphasizes "first-principles thinking across the entire stack" and a "customer-obsessed" mindset. The employer rating on compensation, culture, and work-life balance is rated highly (5.0).
- **Top-Tier Team & Investors**: The team has strong talent density with hires from Meta, Stripe, Google, NVIDIA, and Databricks. Being backed by top-tier VCs provides stability and a clear long-term vision.
- **Hybrid/In-Office**: Based in San Francisco with a strong in-person or hybrid culture common for fast-moving infrastructure startups.

## Sources
1. [Company Website](https://www.baseten.co/)
2. [Careers Page](https://www.baseten.co/resources/careers/)
3. [About Us (Team)](https://www.baseten.co/about-us/)
4. [LinkedIn Company Profile](https://www.linkedin.com/company/baseten)
5. [Ashby Careers Portal](https://jobs.ashbyhq.com/baseten)

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