✨ AI Insights & Summary
Remote is seeking a Senior SRE to architect and implement complex reliability and platform solutions within their async-first, fully remote environment. This role emphasizes a practical, embedded use of AI and agentic workflows to enhance team efficiency and reliability, setting a high technical bar. If you excel in Kubernetes, cloud infrastructure (AWS), IaC (Terraform), and possess a strong desire to build AI-native operational tools, this is an exceptional opportunity to shape the future of global employment platforms.
Senior SRE
About Remote
Remote is solving modern organizations’ biggest challenge – navigating global employment compliantly with ease. We make it possible for businesses of all sizes to recruit, pay, and manage international teams. With our core values at heart and future focused work culture, our team works tirelessly on ambitious problems, asynchronously, around the world. You can find Remoters working from 6 different continents (Antarctica left to go!) and all of our positions are fully remote.
With Innovation as one of the core values, we have built Automation and AI capabilities into the requirements for every role. We encourage every member of the Remote team to bring their talents, experiences and culture to the table to help us build the best-in-class HR platform.
If you are energetic, curious, motivated and ambitious, be part of our world. Apply now and define the future of work!
This Position
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.
What You’ll Bring
- 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.
Nice to Have
- 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.
What You’ll Do
- 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 operationalize 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.
Practicals
- Reporting to: SRE Team Lead
- Team: Engineering
- Location: Europe (prioritizing for diversity and timezone requirements)
- Start Date: As soon as possible
Application Process
- Interview with recruiter
- Interview with HM
- (async) Infrastructure exercise (expected to take 2-4 hours)
- Interview with the team
- Bar Raiser Interview
- Executive Interview
- Offer + Background check (Veremark & Remote)
Compensation
The annual salary range for this full-time position is $53,300—$119,850 USD.
Benefits
- Work from anywhere
- Flexible paid time off
- Flexible working hours (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
How to Apply
- Fill out the form and upload your CV in PDF format (English required).
- If you don't have an updated CV, a LinkedIn profile copy can be submitted instead.
Remote is an equal employment opportunity employer and welcomes applications from all backgrounds. Reasonable accommodations are available for candidates with disabilities. We encourage voluntary self-identification of pronouns and demographic information. Remote embraces AI as a valuable tool while prioritizing human creativity and authenticity.