NoFluffJobs Stacjonarnie Mid New

Platform Engineer

Meniga

⚲ Warszawa

20 000 - 25 000 PLN (B2B)

Wymagania

  • Azure
  • AWS
  • Kubernetes
  • Helm
  • Terraform
  • CI/CD
  • IaC
  • Kafka (nice to have)
  • RabbitMQ (nice to have)
  • GCP (nice to have)
  • FinTech (nice to have)

Opis stanowiska

O projekcie:
THE WORK

We're in the middle of a deliberate shift in how we run infrastructure - moving from an Azure-only world toward a genuine multicloud strategy, starting with AWS. This isn't a lift-and-shift exercise; it's a real architectural and operational shift, running in parallel with active client delivery at European-scale banks. You'll be one of the people making that shift real - hands-on, not from a slide deck.

WHAT YOU GET
- Competitive salary: B2B, 20k-25k PLN + VAT- Hybrid - 2 days in office, 3 remote- Private healthcare, fitness, meal & phone allowance- A real multicloud mandate, not a slide deck about one- Software that runs inside real global banks, used by millions of people every day

Wymagania:
WHAT WE'RE LOOKING FOR
- Real production experience running infrastructure at scale - not a home lab, not just a certification - systems with real clients depending on them- Min. 5 years of experience, including at least 3 years working with public clouds- You've worked across more than one cloud provider, or led a genuine migration from one to another- Deep with Kubernetes, Helm and Terraform - you can read someone else's IaC and tell them what's wrong with it- Comfortable in a regulated or high-stakes environment - on-premises constraints, security requirements, banks that hold you to it- AI-native - you use tools like Cursor and Claude Code as a natural part of how you work

Codzienne zadania:
- Drive the multicloud strategy end-to-end - design, prove out, and operationalise AWS alongside our existing Azure footprint
- Own CI/CD pipelines, infrastructure-as-code, and deployment automation across environments
- Partner with engineering squads to make cloud migration decisions that hold up under real client load, not just in theory
- Keep production systems reliable while the infrastructure underneath them changes
- Bring AI into the DevOps workflow itself - tooling, automation, testing
- Push back when a shortcut threatens reliability or security - not as bureaucracy, but because it matters

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