Note: The job is a remote job and is open to candidates in USA. Remote is solving modern organizations’ biggest challenge – navigating global employment compliantly with ease. As a Senior Site Reliability Engineer, you'll work on complex reliability and platform problems, contributing to the platform's architecture and reliability strategy while collaborating closely with product and security teams.
Responsibilities
- Lead solution discovery and delivery for reliability and infrastructure problems with real ambiguity, complexity, or scope. Autonomously, coordinating with other contributors where needed
- Contribute to the platform's architecture, tooling, and roadmap. Influence team priorities and advocate for technical initiatives
- Help define and operate reliability practices for our platform: SLOs/SLIs, error budgets, alerting, observability. Take responsibility for the team's operational stance, using support/incident metrics to shape technical strategy
- Resolve cross-team requests, identify systemic issues, and turn recurring ones into reusable fixes and runbooks rather than one-off answers
- Work AI-natively and operationalise it for the team: use agentic workflows by default; build reusable prompts, skills, and tooling embedded in the codebase so others ship faster, safely; design agent-ready systems (clean interfaces, good observability) that make AI-assisted changes easy to review. Establish shared standards and domain-level guardrails (secure-by-default patterns, CI protections, AI-assisted review practices)
- Mentor and give timely, actionable feedback to less-senior engineers; participate in hiring, onboarding, and RFC discussions
- Collaborate with Security on platform hardening and threat mitigation; contribute to capacity and cost-efficiency of the infrastructure
- Participate in incident response and on-call rotations to rapidly resolve issues and maintain system reliability
Skills
- Solid professional experience in SRE, DevOps, or Platform Engineering
- Solid hands-on Kubernetes: operating and scaling production clusters and container tooling (Docker) and its ecosystem
- Experience building and managing cloud infrastructure on AWS (or similar)
- Strong infrastructure-as-code practice with Terraform
- Experience with reliability frameworks: SLOs, SLIs, error budgets, alerting strategies
- Solid observability background: OpenTelemetry, Grafana/Prometheus or similar
- Proficiency with CI/CD (GitLab CI, GitHub Actions, or similar) and deployment automation
- Comfortable with Golang, Bash/scripting; broader programming a plus
- Practical, embedded use of AI in infra/ops/dev work, agentic workflows with concrete, observable results, not just familiarity with the tools
- Clear and thoughtful communication, especially in an async-first, global setting
- Proactive, curious, and comfortable taking ownership of challenges
- Collaborative and respectful across cultures, time zones, and backgrounds
- Experience with 1 back-end programming language (Elixir, Nodejs, Python, etc)
- Experience running and configuring Linux systems in a non-cloud environment
- Security knowledge and capabilities from a defensive and offensive standpoint
Benefits
- Work from anywhere
- Flexible paid time off
- Flexible working hours (we are async)
- 16 weeks paid parental leave
- Mental health support services
- Stock options
- Learning budget
- Home office budget & IT equipment
- Budget for local in-person social events or co-working spaces
Company Overview
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