SRE / DevOps Engineer (human)
Hands-on SRE/DevOps role at CopeCart, a platform for selling digital products: improve AWS/ECS deployment reliability, GitHub Actions CI/CD, Terraform/OpenTofu infrastructure, and observability, while introducing safe AI-agent-assisted engineering workflows. Remote position with HQ in Berlin.
- Compensation
- Not disclosed
- Location
- Remote,DE Berlin
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Devops
- Posted
Skills
Must have
- 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
Nice to have
- 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
Full description
CopeCart helps entrepreneurs sell digital products professionally. With our headquarters in Berlin and our Product Development & Support Center in Lviv, Ukraine, we provide an all-in-one solution for coaches, course creators, and digital entrepreneurs.
With our diverse, international team, CopeCart is already active in numerous countries and offers vendors a true full-service platform: from product uploads and sales to payment processing, accounting, and comprehensive analytics - whether for e-books, coaching programs, online seminars, or event tickets.
We take care of the paperwork so our vendors can focus on what truly matters: growing their business.
And this is where you come in.
We are looking for an SRE / DevOps engineer who can help us make delivery faster, safer, and less dependent on manual operations work.
For the first three to six months, the focus will be reducing friction around deploying our new system, improving the reliability of our current AWS-based platform, and introducing agentic engineering practices that help engineers diagnose, fix, and safely ship changes without getting blocked on operations.
This is a hands-on production role. You will work with real infrastructure, real deployment pipelines, real incident patterns, and real engineering teams. You should be comfortable operating production-grade systems with the right checks and balances: VPN access, least-privilege permissions, runbooks, repo instructions, service maps, deployment procedures, audit trails, and rollback paths.
You will also help us use AI agents in a practical way: not as magic automation, but as supervised engineering assistants that can inspect code, read operational context, suggest fixes, generate runbooks, improve CI/CD, and help engineers debug production issues safely.In the first three to six months, you will:
- 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.