---
title: 'Site Reliability Engineer at Blaxel'
canonical: 'https://feeny.ai/job/site-reliability-engineer-blaxel-san-francisco-m8w36a5733ad'
type: 'job'
last_seen: '2026-09-13'
---

# Site Reliability Engineer at Blaxel

- **Company:** Blaxel
- **Location:** San Francisco, CA
- **Compensation:** $175k–$250k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-03-03
- **Last confirmed live:** 2026-09-13
- **Apply:** https://jobs.ashbyhq.com/blaxel/33bd5828-c601-4d0a-8b89-60f445dacf47

## Job description

## The role

We're looking for a world-class Site Reliability Engineer to ensure the reliability, performance, and scalability of our AI infrastructure platform. You’ll be building and operating the core systems that power agentic AI at scale. Your mission: keep our ultra-low-latency, stateful, serverless compute engine rock-solid as we serve billions of agent requests for the most sophisticated AI teams in the world. This role is highly technical and execution-heavy. You’ll own our reliability posture end-to-end—observability, performance tuning, incident ops, infrastructure health, and the automation systems that keep everything running smoothly. We want you to design new reliability systems, push the boundaries of automation, and continuously evolve the platform to meet the demands of next-generation AI workloads. If you're a builder who thrives on owning critical infrastructure at scale, this role is for you.

## What you'll do

Collaborating closely with the founders, the infra team, and the dev team—and leveraging AI wherever it creates leverage—you will architect and operate the systems that keep Blaxel fast, resilient, and secure.

- Architect, operate, and continuously improve the core infrastructure powering our 25ms cold-start compute engine.
- Build and evolve our observability stack (metrics, traces, logs), ensuring we detect issues before users do.
- Define, monitor, and drive SLOs/SLIs across key system surfaces to maintain world-class reliability.
- Lead incident response with rigor: root cause analysis, post-mortems, and driving systemic fixes.
- Design and implement self-healing, automated operational systems to eliminate toil and scale ops.
- Work across compute, networking, storage, and sandboxed execution layers to tune performance under extreme workloads.
- Build automation and tooling—often with AI agents—to streamline operations, debugging, capacity planning, and failure prediction.
- Stress-test and push our systems to the edge: load testing, chaos engineering, and performance benchmarking.
- Own security best practices at the infrastructure layer, from sandboxed compute to network isolation.
- Partner with platform engineers to ensure reliability is designed into new features from day one.

## Who you are

- Deeply technical by default: Fluent across systems, cloud, networking, and distributed computing. You love debugging real failures, not theoretical ones.
- AI-fluent operator: You understand how AI systems behave under scale, their unique resource patterns, and the infrastructure challenges of agentic frameworks.
- Builder at heart: You want to invent new reliability systems—not just maintain existing ones. You thrive in a zero-to-one infra environment.
- High-velocity execution: You have a strong bias for action and a track record of shipping reliable systems quickly with excellent judgment.
- Automation-first mindset: You hate repeated manual work and instinctively reach for automation or AI-driven ops to scale yourself.
- Calm under pressure: When incidents hit, you operate with clarity, precision, and ownership.
- Data-driven engineer: You measure everything—latency, tail behavior, resource efficiency, reliability trends—and let data guide your decisions.

Required skills

- 3+ years in SRE, DevOps, or infrastructure engineering roles
- Strong proficiency in at least one programming language such as Go, Rust, or Python
- Hands-on experience with a major cloud provider (AWS, GCP)
- Solid knowledge of Linux systems, networking fundamentals, and distributed systems
- Experience with bare-metal servers and datacenter operations (PXE/iPXE provisioning, IPMI/BMC, RAID/NVMe, SR-IOV, high-throughput networking)
- Experience with Kubernetes or similar orchestrators
- Familiarity with observability stacks (Prometheus, Grafana, ELK, Datadog)
- Experience building and maintaining CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins)
- Strong debugging, problem-solving, and incident-management skills

## Preferred

- Experience with infrastructure-as-code tools such as Terraform or Pulumi
- Knowledge of service mesh or API gateway technologies
- Exposure to chaos engineering or resiliency-testing frameworks
- Background in security best practices for cloud environments
- Prior experience in high-growth or high-availability environments

Bonus Experience with any of the following is a plus (not required):

- Serverless compute systems
- Sandboxed execution environments
- Ultra-low-latency runtime engineering
- Distributed key-value stores and databases
- Chaos engineering
- Rust, Go, or systems-level programming
- Deep generative AI infrastructure

## About Blaxel

Blaxel is AWS for AI agents. We’re a new kind of cloud computing infrastructure optimized for the unique demands of agentic AI, leveraging a purpose-built 25ms cold-start serverless compute engine. Now processing billions of agent requests, we power the coding agents and background AI tasks infrastructure for top AI startups. Founders choose us when they hit the limits of general-purpose clouds. We solve the hard infrastructure problems—statefulness, ultra-low latency, and secure sandboxed code execution—so they can focus on building their core AI products. We raised a $7.3M seed round led by First Round Capital.

## About Blaxel

## Core Business
- **Primary industry/industries**: Infrastructure for autonomous agents / Cloud computing for AI workloads
- **Target customers**: B2B – AI startups, scaleups, and enterprises building autonomous agents, coding agents, and background AI services
- **Mission or purpose statement**: “Infrastructure for autonomous agents” – enabling AI companies to ship agents instead of reinventing infrastructure.

## Products & Services
- **Blaxel Platform**: A session-first, stateful runtime that provides isolated microVMs (sandboxes) for AI agents. Key features include:
  - **Compute**: Persistent sandboxes that scale to zero after 1s of inactivity and resume in under 25ms with full memory state.
  - **Networking**: Static IPs, outbound control (firewalling), proxy routing for secrets, and a model gateway co-located with agents.
  - **Storage**: Agent Drive (distributed filesystem for multi-agent collaboration), Volumes (durable mounts), and in-memory root filesystem with zero data retention.
  - **Security & Compliance**: SOC 2, HIPAA, ISO 27001 certified; individual microVMs per workload; data wiped on sandbox destruction.
  - **Scale**: Supports up to 50,000+ sandboxes and 512 TB of volume storage.
  - **SDK**: TypeScript-first SDK (Python at parity), Docker images, MCP servers, and batch job orchestration.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Total funding – $7.3M (seed round, led by First Round Capital)
- **Notable Investors/Partners**: First Round Capital (lead), Y Combinator (backed via batch P25/Spring 2025)
- **Growth Signals**: Processing billions of requests; customers include Webflow and HumanBehavior; team size of 8; YC batch Spring 2025; actively hiring for engineering roles.

## Competitive Advantages
- Ultra-low latency (25ms cold-start resume) with persistent state across restarts and redeploys.
- Enterprise-grade security compliance (SOC 2, HIPAA, ISO 27001) out of the box.
- Perpetual sandboxes that stay on standby indefinitely without cold-start orchestration.
- Built-in networking primitives (static IPs, proxy routing, model gateway) reduce agent infrastructure complexity.
- TypeScript-first SDK and seamless MCP server support.

## Strategic Focus
- Continue to build the foundational infrastructure layer for autonomous agents, moving beyond ephemeral execution to stateful, scalable, and secure agent runtimes.
- Expand enterprise adoption and compliance certifications while maintaining developer experience and low latency.

## Why Work Here
- **Culture**: Small, high-impact team (8 people) working on cutting-edge AI infrastructure. Backed by top-tier investors (First Round Capital, Y Combinator).
- **Remote/Hybrid/Office**: Located in San Francisco; likely in-office or hybrid (not explicitly stated, but YC jobs list San Francisco as location).
- **Notable Perks/Engineering Culture**: Ownership of critical infrastructure components; exposure to high-scale agent workloads; salary range for roles like CEO & Co-Founder listed at $175K – $250K (indicating competitive compensation for early team members). Roles include Site Reliability Engineer, Forward Deployed Engineer, and Fullstack Design Engineer.

## Sources
1. [blaxel.ai](https://blaxel.ai/)
2. [Y Combinator – Blaxel Jobs](https://www.ycombinator.com/companies/blaxel/jobs)
3. [Y Combinator – Blaxel Company Page](https://www.ycombinator.com/companies/blaxel)
4. [LinkedIn – Blaxel](https://www.linkedin.com/company/blaxel-ai)
5. [PitchBook – Blaxel Profile](https://pitchbook.com/profiles/company/752961-34)

## Other roles at Blaxel

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