Senior Engineer, Azure, Terraform, Kubernetes

Stellenbeschreibung:

Collaborate closely with fellow engineers, product managers, and stakeholders to design, build, and support robust platform solutions
Architect, deploy, and manage Kubernetes clusters on AWS and/or Azure
Design and implement CI/CD pipelines that deliver high-quality code at speed
Build automated infrastructure with Terraform and other IaC tools
Lead cloud migration and modernization efforts, including re-platforming legacy workloads (Java, .NET, ETL, databases) to modern cloud-native services
Automate scaling, deployment, and management of containerized applications
Monitor, troubleshoot, and fine-tune system performance to ensure reliability, cost-effectiveness, and resilience
Implement proactive monitoring solutions that detect and prevent outages
Translate complex client requirements into scalable, automated solutions
Contribute to team knowledge-sharing, peer reviews, runbooks, and process improvement efforts
Support and maintain secure, compliant, and resilient infrastructure for critical systems

5+ years of platform, DevOps, or infrastructure engineering experience
5+ years of Azure experience
3+ years with Terraform and other IaC tooling
2+ years building and operating Kubernetes in production
Hands‑on experience migrating or modernizing legacy workloads (Java, .NET, or similar) to cloud
Comfort with database and data platform work across SQL and NoSQL technologies
Experience designing and building scalable, distributed systems
Experience with CI/CD pipelines (GitHub Actions, Azure DevOps, Jenkins, or similar)
Experience designing and building scalable, distributed systems
Experience in consulting or client-facing delivery roles
Excellent communication and collaboration skills
Ability to explain complex technical concepts to non-technical stakeholders
Strong multi-tasker, self-starter, and proactive team player
Cloud certifications
Highly regulated industry experience (e.g. finance, healthcare)
AWS and Azure Professional level certifications
ETL or data pipeline experience (DataStage, ADF, Glue, Airflow, or similar)
Kubernetes certifications (CKA, CKAD, CKS)
Agile experience