Note: The job is a remote job and is open to candidates in USA. Remote is solving global employment challenges by enabling businesses to recruit, pay, and manage international teams compliantly. The Senior Site Reliability Engineer will autonomously lead complex reliability and platform initiatives, contribute to architecture and reliability strategy, operationalize AI workflows, mentor engineers, and collaborate with product and security teams in a fully remote environment.
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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