DevOps Engineer (AWS & Azure)

Location: For candidates living in Warsaw or Gdańsk, or in the immediate vicinity, we require at least one visit to the office per week. For those residing in other regions, a visit to the office once a month is expected (for workshops and meetings). Occasionally, business trips to Germany may be required (2–3 times per year).

Rate: [4-7 yrs]: 168 PLN/h ; [7+ yrs]: 189 PLN/h

Industry: Fintech

Longterm Project

Summary

The DevOps Engineer (AWS & Azure) role is pivotal for the fintech project, focusing on cloud infrastructure, automation, CI/CD, and software implementation in a secure environment.

Main Responsibilities:

• Participating in a fintech project.

• Leveraging expertise in the design, development, automation, and implementation of cloud infrastructure.

• Creating and maintaining CI/CD pipelines to automate build, test, and deployment processes.

• Providing high-quality solutions.

• Working in Agile/Scrum teams to deliver high-quality applications.

Key Requirements:

• Minimum of 4 years as a Cloud DevOps Engineer or Cloud Engineer.

• Proficiency with core AWS services such as IAM, Networking, Storage, API Gateways, OpenSearch, DynamoDB, AWS Serverless, and Monitoring.

• Proficiency with Azure core services including Azure VM, Azure VNet, Azure DevOps, Entra ID, Azure Load Balancer, Azure Blob Storage, API Management, Cosmos DB, Azure Functions, Azure AI Search, Azure Monitor, and Application Insights.

• Ability to set up cloud infrastructure using Terraform.

• Experience with CI/CD tools, preferably Azure DevOps or GitHub Actions.

• Strong focus on security, development, and governance standards.

• Experience troubleshooting and working with microservices (AWS ECS, Azure AKS, Kubernetes).

• Experience with scripting languages (Bash, Python).

• Excellent command of English (spoken and written).

• Experience collaborating with stakeholders (architects, security teams, business).

• Experience working in an Agile environment (e.g. Scrum).

• Strong communication and interpersonal skills.

• Commitment to quality, documentation, and adherence to standards across teams.

Nice to Have:

• Experience with AWS Data & AI services.

• Knowledge of AI/ML tools relevant for AI-related projects.