Middle AWS DevOps Engineer
We are looking forMiddle AWS DevOps on behalf of our client:
Start: ASAP (other notice periods are not acceptable)
Duration: long-term
Mode: remote in Romania, Bulgaria or Poland
Seniority: Mid (3-5 years of experience)
Project:
API migration using KIRO (agentic AI, spec-driven development)
Stack / requirements (must have):
AWS (DevOps, mid-level)
KIRO
Google Cloud Apigee
Client:
One of the largest courier companies in the UK (e-commerce, millions of parcels weekly, extensive delivery network and collection points)
JD:
You will be:
building and supporting the tools, processes and infrastructure empowering the faster delivery and scaling of software iterations (ideally with greater quality and the necessary operational insight),
ensuring availability, reliability and scalability of application infrastructure,
building and supporting continuous integration/delivery and release tools,
ensuring the right metrics are collected and monitored.
Your profile:
smart and tech-savvy engineer with 3+ years of experience working with DevOps practices and Continuous Delivery,
practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery,
practical knowledge ofAWS services, infrastructure and networking,
working experience with Kiro,
practical knowledge of Tyk,
proficiency in Google Cloud Apigee,
experience with Kubernetes (ideally EKS on AWS) and container orchestration,
Python knowledge,
hands-on with GitOps practices, preferably with ArgoCD,
medium skills in Terraform and Helm,
proficiency in Bash and PowerShell scripting,
experience with CI/CD pipelines and tooling (GitLab CI/CD, GitHub Actions, or similar),
experience with monitoring, observability, and logging tools, such as Prometheus, Grafana, AppDynamics, and OpenSearch,
security awareness (OWASP, encryption, secrets management),
very communicative and collaborative, with a strong sense of ownership,
upper intermediate/advanced English (B2/C1).Work from the European Union region and a work permit are required.
Nice to have:
Experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work.
Interest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches.
If you're interested and meet the qualifications, please send your CV to Alina Pchelnikova at