DevOps _Wholesale
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!