Senior DevOps Engineer - Kubernetes/Azure Kubernetes Service
First seen by Alion on Oct 30, 2026.
Role & responsibilities :
- Design and maintain CI/CD pipelines for automated builds, testing, deployments, and releases.
- Manage Docker, Kubernetes, Azure Kubernetes Service (AKS), and Linux infrastructure.
- Automate infrastructure provisioning and configuration using Terraform, Ansible, or equivalent tools.
- Support customer deployments across UAT, PROD, HA, and DR environments.
- Troubleshoot networking, DNS, TLS certificates, firewalls, connectivity, and deployment issues.
- Establish observability across infrastructure and application services using centralized logging, metrics, distributed tracing, and alerting.
- Integrate security scanning and vulnerability remediation, secret management, and access controls into the deployment pipeline.
- Collaborate with Engineering, QA, Security, and customer IT teams to ensure deployment readiness and timely go-lives.
- Create reusable deployment automation, operational documentation, and runbooks.
Preferred candidate profile :
- Strong experience with CI/CD tools such as GitHub Actions, Azure DevOps, or Jenkins.
- Hands-on expertise in Docker, Kubernetes, AKS, and Helm.
- Experience with Azure cloud, Linux, Infrastructure as Code, and scripting (Bash/Python).
- Hands-on experience with observability tools and practices, including Prometheus, Grafana, centralized logging, and distributed tracing.
- Working knowledge of PostgreSQL, MongoDB, backups, and recovery.
- Knowledge of DevSecOps, vulnerability scanning, and security best practices.
Workload & Ingress Management :
- Configuring networking, CoreDNS, Ingress/Gateway API controllers, and Network Policies.
Preferred Qualifications :
- Experience with enterprise customer deployments in cloud and on-premises environments.
- Knowledge of HA/DR architecture, security assessments, and compliance requirements.
- Basic understanding of AI/ML deployment concepts, LLM-based applications, and model-serving endpoints.
- Exposure to deploying AI services using tools such as Ollama or cloud-based AI platforms.
- Familiarity with AI coding assistants and AI-powered tools for DevOps automation and troubleshooting.
Skills
DevOps, Docker, Kubernetes, Azure, IAC Terraform, Ansible, CI/CD Pipeline, Linux, Python, Bash Scripting, Azure Kubernetes Service