[Remote] SRE / DevOps Engineer (human)
Note: The job is a remote job and is open to candidates in USA. CopeCart is a platform that helps entrepreneurs sell digital products through an all-in-one solution for sales, payments, accounting, and analytics. The SRE / DevOps Engineer will improve deployment speed and safety, strengthen the AWS-based production platform, enhance CI/CD and observability, and introduce supervised AI-agent workflows for debugging and operational engineering.
Responsibilities
- Improve the deployment experience for our new system
- Reduce operational bottlenecks that slow down engineering and feature delivery
- Strengthen our AWS production setup, currently based on ECS and containers
- Improve our GitHub Actions CI/CD workflows
- Work with Terraform / OpenTofu to make infrastructure safer, clearer, and easier to change
- Improve production debugging across AWS, containers, networking, Linux, and application-level issues
- Improve our observability across the three pillars: metrics, logs, and traces
- Create or improve runbooks, repo instructions, service maps, deployment guides, and operational documentation
- Introduce agentic engineering workflows that help engineers diagnose issues, propose fixes, and validate changes before they reach production
- Design safe guardrails for agent-assisted work: permissions, approval gates, auditability, sandboxing, rollback procedures, and human review
Skills
- Strong hands-on experience in SRE, DevOps, platform engineering, infrastructure engineering, or production operations
- Production AWS experience
- Experience with ECS and containerized services
- Experience with GitHub Actions
- Experience with Terraform and/or OpenTofu
- Experience with CI/CD, Linux, networking, and production debugging
- Strong observability skills across metrics, logs, and traces
- Ability to write production-quality code or scripts in TypeScript and Bash
- Ability to read and modify infrastructure, CI/CD, and application code
- Good judgment around production risk, automation, permissions, and rollback
- You should be able to use AI agents as part of a serious engineering workflow
- Break a large operational problem into smaller agent-assisted tasks
- Give agents the right repo context, runbooks, constraints, and success criteria
- Use agents to inspect code, infrastructure, CI/CD, logs, and service behavior
- Verify agent output instead of trusting it blindly
- Turn useful agent output into production-grade changes
- Design workflows where agents can suggest fixes, but humans approve risky actions
- Know when not to use an agent
- Kubernetes experience
- Ruby experience
- Experience building internal developer platforms or self-service infrastructure
- Experience with coding agents, AI-assisted engineering workflows, repo-level agent instructions, evals, or agent guardrails
- Experience improving incident response, deploy safety, or on-call quality
Benefits
- Work from anywhere.
- Flexible working hours based on trust — no rigid schedules, but real ownership and autonomy.
- Access to attractive corporate benefits.
- A company pension plan.
- Through our partner EGYM Wellpass, access to more than 6,300 fitness and yoga studios, swimming pools, as well as CrossFit and bouldering gyms across Germany and Austria.
- Several times a year, team events in different locations for team building and connection.
Company Overview