[ICM] DevOps Engineer (Cloud) at Software Mind

  • Company: Software Mind
  • Location: Remote
  • Job type: full time
  • Workplace: remote
  • Posted: 2026-11-03

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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 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 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.  

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