Senior Engineer, Azure, Terraform, Kubernetes

Responsibilities

• 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, Dev Ops, 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 No
  
  SQL technologies
• Experience designing and building scalable, distributed systems
• Experience with CI/CD pipelines (Git Hub Actions, Azure Dev Ops, 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 (Data Stage, ADF, Glue, Airflow, or similar)
• Kubernetes certifications (CKA, CKAD, CKS)
• Agile experience