As a Senior SRE at Remote, you'll work with a high degree of autonomy on complex reliability and platform problems, owning the plan and execution of features and projects within our SRE/Platform domain. You'll contribute to the platform's architecture and reliability strategy, translating ambiguous requirements into robust, maintainable solutions and raise the technical bar of the engineers around you while collaborating closely with product and security teams in an async-first, fully remote environment.
You'll work AI-natively day to day and build reusable AI workflows that make the whole team faster and more reliable, not just yourself.
- 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).
- 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
- 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.
- Location: For this hire, due to diversity and timezones requirements, we’re prioritising Europe
- (async) Infrastructure exercise (you're not expected to spend more than 2 - 4 hours)
- Interview with the team (without any manager in the call so you can really get to know the people and ask all you want to ask)