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.
Job DescriptionProject – 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.
Skills Required
- 5+ years of hands-on DevOps, cloud, or platform engineering experience
- Strong production-grade AWS experience, including EKS, IAM, VPC and networking, S3, RDS/Aurora, or comparable managed services
- Production Kubernetes and Helm experience
- GitOps experience with ArgoCD or a similar tool
- Terraform or OpenTofu infrastructure-as-code experience
- CI/CD experience, preferably GitLab CI, including reusable pipeline development
- Bash or Python scripting experience and solid Linux fundamentals
- Experience with observability stacks such as Elastic Stack, OpenTelemetry, Grafana, or CloudWatch
- Understanding of AI-agent architectures at deployment and operations level
- Excellent communication skills and fluent English
- Proficiency in Polish
- GCP experience, including landing zones, networking, security, GKE, and Cloud Monitoring
- AWS certifications such as Solutions Architect Professional or DevOps Engineer Professional
- Serverless and event-driven AWS experience
- Supply-chain security experience with SonarQube, Dependency-Track, Trivy, SBOM, or Renovate
- Experience with Kubernetes add-ons including Karpenter, Cilium, Gateway API, or External Secrets
- FinOps or cloud cost-optimization experience
Software Mind Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Software Mind and has not been reviewed or approved by Software Mind.
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Fair & Transparent Compensation — Pay is considered competitive for core hiring markets, with “good salary” cited in multiple locales. Public salary snapshots provide a baseline that helps candidates assess offers and negotiations.
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Flexible Benefits — Remote or hybrid options are prominently highlighted, and a remote‑work program is publicly noted alongside positively cited work‑from‑home experiences. Flexibility around schedules and location is presented as part of the package.
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Wellbeing & Lifestyle Benefits — Private medical care, language classes, sports/fitness support, and learning initiatives are listed for several Central/Eastern European locations, with occasional workation perks promoted. These lifestyle‑oriented offerings complement base pay and can enhance perceived total rewards.
Software Mind Insights
What We Do
Software Mind is a global digital transformation partner with operations throughout Europe, the US and LATAM. Driven by tech and empowered by people, we provide companies with software engineers and autonomous, cross-functional development teams who manage software life cycles from ideation to release and beyond. For over 20 years we’ve been enriching organizations with the talent they need to boost scalability, drive dynamic growth and bring disruptive ideas to life. Our top-notch engineering teams combine ownership with leading technologies, including cloud, AI, data science and embedded software to accelerate digital transformations and boost software delivery. A culture, driven by trust, that embraces openness, craves more and acts with respect enables our experts to create evolutive solutions that support scale-ups, unicorns and enterprise-level companies around the world.
