Site Reliability Engineer

Runloop AI, Inc

$130K — $180K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Degree in computer science or electrical engineering, or equivalent experience
  • 5+ years of software engineering experience, with 3 years in site reliability or DevOps
  • Strong programming skills in Python or Go
  • Expertise in Docker and Kubernetes
  • Experience with cloud infrastructure tools like Terraform and/or Pulumi
  • Familiarity with monitoring tools like Prometheus and Grafana
  • Solid understanding of networking, security, and Linux administration
  • Experience with distributed systems design and maintenance
  • Proficient in observability frameworks and their implementation
  • Hands-on experience in incident management and post-mortem analysis

Responsibilities

  • Design and maintain production infrastructure on cloud platforms (AWS, GCP, Azure)
  • Monitor and respond to alerts and incidents using Grafana and Prometheus
  • Collaborate with developers on scalable and reliable features
  • Troubleshoot complex infrastructure and networking issues
  • Participate in on-call rotation for production support
  • Define and track SLIs/SLOs and manage error budgets
  • Automate deployments and scaling to reduce administrative toil
  • Lead incident responses and facilitate blameless post-mortems
  • Plan for capacity growth and contribute to change management processes

Benefits

  • Competitive salary and equity
  • Comprehensive health, dental, and vision insurance for employees and dependents
  • Opportunity to work on cutting-edge technology
  • Daily catered lunch and a fridge stocked with snacks and drinks
Full Job Description
The Role

We're looking for a skilled and passionate Site Reliability Engineer to join our team. As an SRE, you'll be responsible for the reliability, observability, performance, and security of our core platform, the foundation our users build their work on. You'll work closely with our engineering team to develop and maintain the systems that power our code sandboxes, ensuring a seamless and stable experience for our customers. This is a critical role that blends a deep understanding of operations with a software engineering mindset.

Responsibilities
  • Design and maintain our production infrastructure on cloud platforms like AWS, GCP, or Azure
  • Monitor and respond to system alerts and incidents using Grafana and Prometheus, ensuring high availability and a secure environment for our users' code
  • Collaborate with developers to ensure new features and services are designed with scalability and reliability in mind
  • Troubleshoot and resolve complex issues related to our infrastructure, networking, and the sandbox environment
  • Participate in an on-call rotation to support our production systems
  • Define and track SLIs/SLOs, manage error budgets, and proactively monitor distributed systems with logging and tracing
  • Automate deployments, scaling, provisioning, and recovery tasks to reduce toil and build self-healing systems
  • Lead incident response, conduct root-cause analysis, and facilitate blameless post-mortems to drive continual improvement
  • Collaborate cross-functionally with product, engineering, and developer relations to ensure reliable releases and an outstanding developer experience
  • Plan for capacity growth, forecast system usage, and contribute to safe release and change management processes


Qualifications
  • Strong computer science fundamentals, backed by a degree from a top-tier CS/EE program, or equivalent experience
  • 5+ years of experience in software engineering, with at least 3 years focused explicitly on site reliability, DevOps, or infrastructure operations
  • Strong programming skills in languages like Python or Go
  • Deep expertise in containerization technologies such as Docker and Kubernetes
  • Experience with cloud infrastructure and tools like Terraform and/or Pulumi
  • Familiarity with monitoring and alerting tools like Prometheus, Grafana, or Datadog
  • A solid understanding of networking, security, and Linux systems administration
  • Experience designing, scaling, and maintaining distributed systems (backend platforms, APIs, or front-end infrastructure)
  • Proficiency in implementing observability frameworks (metrics, logging, tracing) and aligning reliability goals with developer velocity
  • Hands-on experience managing incidents, running on-call operations, and producing actionable post-mortems
  • Ability to mentor engineers and influence reliability practices across teams, especially for front-end infrastructure and performance
Bonus Points
  • Experience with chaos engineering techniques, front-end observability tools (e.g., Sentry, RUM, synthetic monitoring), or building CI/CD pipelines for front-end delivery


Benefits
  • Competitive salary and equity
  • Comprehensive health, dental, and vision insurance for employee and dependents
  • Opportunity to work on cutting-edge technology and make a real impact on the future of software engineering
  • Daily catered lunch for all employees and a fridge full of your favorite snacks and drinks


Location:
  • Onsite 4 days a week in San Francisco; Optional 1 day a week remote


Join Us! If you're excited about shaping the future of AI-driven software engineering and empowering developers to build the next generation of AI powered coding tools, we want to hear from you. Join the Runloop team and be at the forefront of the AI revolution in software development.

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