Tower Lead - Azure DevOps, Terraform
Confirmed on the employer's own hiring board on Oct 12, 2026. First seen by Alion on Oct 5, 2026.
Job Summary
Devops SME
Key Responsibilities
CI/CD Pipeline Engineering: Architect, build, and optimize enterprise-scale continuous integration and continuous deployment pipelines using platforms like GitHub Actions, GitLab CI, Jenkins, or Azure DevOps. Ensure rapid, safe, and repeatable delivery of application code.Infrastructure as Code (IaC): Establish global standards for infrastructure provisioning by writing clean, modular, and reusable configuration code utilizing Terraform, OpenTofu, Ansible, or CloudFormation.Container Orchestration & Platforms: Take technical ownership of our containerized infrastructure. Design, configure, and scale Kubernetes clusters (EKS, AKS, GKE, or On-Premises), managing service meshes, ingress controllers, and resource management.Site Reliability & Observability: Partner with development teams to embed reliability into software applications. Architect comprehensive logging, metrics, and tracing platforms (e.g., Prometheus, Grafana, OpenTelemetry) to track system SLIs/SLOs and minimize MTTR.DevSecOps Integration: Enforce a "shift-left" security model by integrating automated vulnerability scanning (SAST/DAST), dependency checking, and secret management tools (e.g., HashiCorp Vault) directly into the deployment pipelines.Technical Governance & Mentorship: Define branching strategies, deployment patterns (Blue/Green, Canary), and operational baselines. Provide advanced architectural guidance and mentorship to software engineering and operations teams.
Skill Requirements
Experience: 8+ years of professional experience spanning systems engineering, software development, and specialized DevOps/SRE architecture.Cloud Architecture Mastery: Advanced, production-proven experience architecting scalable, secure infrastructure within major public cloud providers (AWS, Microsoft Azure, or Google Cloud Platform).Container & Kubernetes Expertise: Deep, internal-level understanding of Docker runtimes, Kubernetes API, networking constructs, volume provisioning, and helm chart development.Advanced Automation & Languages: High proficiency in scripting and programming languages, specifically Python, Go, or heavy Bash scripting, to build custom tooling and pipeline extensions.Linux Systems Proficiency: Strong engineering knowledge of Linux operating system internals, configuration management, and network troubleshooting.
Other Requirements
NA