Senior DevOps Engineer responsible for full stack development of energy trading products at Deutsche Börse. Implementing automated solutions and collaborating across product teams in a hybrid setting.
About the role
- DevOps Engineer designing and implementing cloud infrastructure and delivery pipelines at A-CX. Collaborating with teams to ensure reliable and secure deployments of enterprise applications.
Responsibilities
- Build and maintain CI/CD pipelines to support continuous integration and delivery
- Manage containerized workloads using Docker and Kubernetes
- Implement infrastructure as code using frameworks such as Terraform, Bicep, or ARM templates
- Set up monitoring, alerting, and logging for production readiness and system reliability
- Collaborate with developers and QA teams to ensure smooth deployment workflows
- Ensure security, compliance, and performance best practices across environments
- Contribute to process improvements and help advance automation practices
- Participate actively in agile ceremonies and cross-functional collaboration
Requirements
- 5+ years of professional experience in DevOps or cloud engineering
- Strong experience with Microsoft Azure services and infrastructure management
- Proficiency with Docker and Kubernetes for container orchestration
- Experience with Git-based workflows and CI/CD tools such as Azure DevOps or GitHub Actions
- Solid understanding of networking, security, and system reliability principles
- Familiarity with SQL databases and application integration in cloud environments
- Strong problem-solving and troubleshooting skills
- Excellent communication skills and ability to collaborate with cross-functional teams
- Ideally, certifications in Azure cloud engineering or related areas
- Experience managing hybrid or multi-cloud environments
- Knowledge of Zero Trust security models and secure DevOps practices
- Familiarity with monitoring and observability stacks such as Prometheus, Grafana, or ELK
- Experience automating deployments for microservices-based applications
- Interest in AI/ML deployment pipelines or advanced automation frameworks
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
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