[ICM] DevOps Engineer (Cloud)

Employment: Full-time Experience level: Mid-Senior Level Job Description Project – the aim you’ll have You will join Cloud Mind, Software Mind's cloud engineering unit, as a hands-on cloud engineer delivering client projects for international companies. Projects change over time; the current focus is an AWS-first Kubernetes platform (EKS, OpenTofu/Terraform, GitLab CI, ArgoCD, observability) with in-house AI agents for operations. GCP is the second cloud on other Cloud Mind projects. Much of the role is self-initiated: you find the problems worth solving. Role – how you’ll contribute Run and develop an AWS and Kubernetes platform (EKS, ECS, Lambda, networking, IAM) with OpenTofu/Terraform Build and maintain reusable GitLab CI/CD components with built-in security and quality gates (SonarQube, Trivy, SBOM), and GitOps deployments with ArgoCD Deploy, secure and operate AI agents for operations (Amazon Bedrock / AgentCore, MCP-based tool access) Keep production running: EKS upgrades and patching, observability and alerting, incident response, cost optimisation Modernise the platform and define standards: Gateway API, OpenTelemetry, secrets management, runbooks Work directly with client engineers: find problems worth solving, propose improvements and own changes end-to-end Support GCP workloads (Landing Zone, networking, security) on other Cloud Mind projects when needed Qualifications Expectations – the experience you need 5+ years of hands-on DevOps / Cloud / Platform engineering experience Strong, production-grade AWS experience (EKS, IAM, VPC and networking, S3, RDS/Aurora or other managed services) Kubernetes and Helm in production; GitOps (ArgoCD or similar) Terraform / OpenTofu (infrastructure as code) CI/CD, preferably GitLab CI, including building reusable pipelines. Scripting (Bash, Python) and solid Linux fundamentals Observability stacks (Elastic Stack, OpenTelemetry, Grafana, CloudWatch or similar) Understanding of AI-agentic architectures (LLM agents, Amazon Bedrock or similar) at deployment and operations level Ownership: you propose improvements, own changes end-to-end and use AI tools responsibly, not as a substitute for experience Excellent communication skills and fluent English (daily direct contact with client engineers); proficiency in Polish Additional skills – the edge you have GCP as a second cloud: Landing Zone components built with Terraform and CI/CD GCP networking: VPC, VPN, routing, DNS; hybrid connectivity (Cloud Interconnect) GCP security and compliance: IAM, organisation policies, centralised logging; regulated industries (e.g. DORA) GKE and Cloud Monitoring. AWS certifications (Solutions Architect Professional, DevOps Engineer Professional) Serverless and event-driven AWS (Lambda, ECS, EventBridge, Step Functions) Supply-chain security: SonarQube, Dependency-Track, Trivy, SBOM, Renovate Kubernetes add-ons: Karpenter, Cilium, Gateway API, External Secrets FinOps / cloud cost optimisation Additional Information What we offer: Flexible and remote cooperation options  International projects with leading global clients  Travels related to international projects  Non-corporate atmosphere  Access* to language classes Access* to knowledge-sharing initiatives  Access* to private healthcare and life insurance  Access* to multisport card  *The availability and terms of individual benefits may vary depending on the chosen form of cooperation.   Company Description Software Mind develops solutions that make an impact for companies around the globe. Tech giants & unicorns, transformative projects, emerging technologies and limitless opportunities – these are a few words that describe an average day for us. Building cross-functional engineering teams that take ownership and crave more means we’re always on the lookout for talented people who bring passion and creativity to every project. Our culture embraces openness, acts with respect, shows grit & guts and combines cooperation with enjoyment.