DevOps Engineer

About the Position

We are seeking a skilled DevOps Engineer with of to enhance our development and operational processes. You will drive automation, streamline CI/CD pipelines, and manage containerized applications using Docker and Kubernetes. A strong foundation in scripting, cloud technologies (Azure, AWS, or GCP), and networking fundamentals will enable you to build resilient and scalable infrastructure while ensuring seamless application delivery and support. 

Roles and Responsibilities  

Cloud Infrastructure (Azure) 

•   Design, provision, and maintain Azure infrastructure using Bicep/Terraform — modular, parameterized, environment-aware 
•   Manage AKS clusters: node pools, upgrades, RBAC, network policies, CNI (Azure CNI / Overlay), ingress (NGINX/AppGW), HPA, pod security standards 

CI/CD & Automation 

•   Author and maintain multi-stage Azure Pipelines (YAML) with reusable templates, variable groups, environments, and approval gates 
•   Write PowerShell automation for provisioning, release rollout, and environment management (non-negotiable) 

Security & Compliance 

•   Triage and remediate CVEs; track and close VAPT findings within agreed SLAs 
•   Apply pod security standards, network policies, and least-privilege RBAC across Kubernetes namespace.

Observability & Reliability 

•   Build and maintain KQL-based alerts, dashboards, and workbooks in Log Analytics 
•   Manage Prometheus + Grafana stacks for Kubernetes workload observability.

Docker & Container Management 

•   Author optimized multi-stage Dockerfiles; enforce image size and vulnerability standards 
•   Manage image lifecycle in ACR (tagging strategy, retention policies, geo-replication) 

Nice to Have 

•   MLOps experience: vLLM deployment on Azure ML, LoRA adapter management, LiteLLM proxy configuration 
•   Familiarity with AI/ML model gateway patterns (OpenAI - compatible APIs, model routing).

Skills, Knowledge, and Experience: 

•   2+ years of experience in DevOps.
•   Azure — AKS, Azure DevOps (Pipelines, Repos, Boards), Key Vault, ACR, Monitor, Log Analytics, App Configuration.
•   Kubernetes — workload deployment, RBAC, network policies, ingress, HPA, pod security, troubleshooting.
•   Docker — multi-stage builds, image optimization, registry management.
•   Bicep / Terraform — authoring modular, parameterized IaC; ARM comprehension at minimum.
•   Azure Pipelines — multi-stage YAML, templates, variable groups, environments, approval gates 
•   PowerShell — release automation, provisioning scripts (non-negotiable); Bash for Linux containers.
•   Security (critical) — container image scanning (Trivy/Veracode/Defender), CVE triage and remediation, VAPT awareness.
•   Secrets management — Azure Key Vault, Managed Identity.
•   Observability — KQL, Log Analytics alerts, Prometheus + Grafana, Application Insights.
•   Networking — VNets, NSGs, private endpoints, AKS CNI models, TLS/cert-manager
•   Agile/ADO — sprint ceremonies, Boards, runbook authoring 
•   Nice to have — MLOps (vLLM, Azure ML) 

Qualifications: 

•   Graduate/Master's degree in Computer Science, Engineering, or related discipline 
•   Ability to manage and prioritize multiple tasks while working both independently and within a team.