DevOps GCP

📍 Location: Kraków (Hybrid – 6–8 days per month in the office) 📄 Contract Type: B2B / Employment Contract 💰 Competitive Salary / Rate 🌍 International Environment For our client – a global financial institution developing scalable data platforms and cloud solutions for the Capital Markets domain – we are currently looking for a GCP DevOps Engineer to join the CTO Data Technology team within the Corporate & Institutional Banking division. This role will focus on supporting the development and maintenance of data products and platform components in the Google Cloud environment. The engineer will work on CI/CD tooling, infrastructure automation, cloud services standardization, and the evolution of SRE practices within the organization. Responsibilities: Develop and maintain CI/CD pipelines and DevOps tooling (Jenkins, GitHub, Nexus, Ansible) Contribute to the development of shared services and GCP deployment patterns Automate infrastructure tasks related to resilience, compliance and operations Support Infrastructure as Code development using Terraform Collaborate with product, platform and data teams to enhance platform performance, reliability and maintainability Help shape and implement best practices around Site Reliability Engineering (SRE) Contribute to service management, lifecycle automation and security enforcement across environments Requirements: 3+ years of experience in DevOps or Cloud Engineering roles Practical experience with CI/CD tools such as Jenkins, GitHub Actions, Nexus and Ansible Hands-on experience with cloud platforms (GCP preferred, AWS or Azure also considered) Proficiency in Terraform and Infrastructure as Code (IaC) approaches Strong scripting skills in Bash and Python Very good knowledge of Linux administration and networking principles Understanding of cloud architecture best practices , security, compliance, and cost optimization Familiarity with SRE concepts , service lifecycle and production support Strong communication skills and the ability to collaborate with cross-functional teams Nice to have: Experience in a highly regulated or enterprise financial environment Experience with Kubernetes and container orchestration Familiarity with Data Engineering tools such as Airflow or Apache Spark What’s in it for you? Long-term project in a well-structured, international environment Flexible, remote-first model (within Poland) Opportunity to work with modern cloud and automation tools at scale Stable, full-time engagement with access to internal learning and development resources If you're passionate about automation, cloud infrastructure, and reliability – and you want to work on impactful projects in the financial data space – we’d love to hear from you!