ATT-Azure services, Terraform, AKS, Docker

ECMS REQ ID

541985

Number of Openings

2

Country

India

Detailed JD (Roles and Responsibilities)

Key Responsibilities

· CI/CD: Implement pipelines (GitHub Actions/Azure DevOps) for Python/React services; versioned artifacts; environment promotions; automated testing and security scans (SAST/DAST/dependency).

· Runtime & Infra: Deploy to Azure App Services or AKS (as appropriate); containerize with Docker; manage scaling (HPA/autoscale), blue/green or canary releases.

· Infra as Code: Provision with Terraform or Bicep; network configuration (VNets, private links, egress allowlisting); WAF/App Gateway.

· Security & Secrets: Azure Key Vault; managed identity; least-privilege RBAC; policy-as-code; secrets rotation; vulnerability management.

· Observability & SRE: Application Insights/Log Analytics dashboards; traces/metrics/logs; SLI/SLO definitions; alerting; runbooks; on-call readiness; error budgets.

· Data/ML Ops: MLflow tracking/store; model registry; drift monitoring; feature store integrations; artifact retention policies.

· Compliance & Cost: Tagging, cost allocation, budget alerts; backup/restore/DR plans; change management and audit evidence; ZDR alignment and data minimization for research workloads.

Required Technical Skills

· Azure: App Services, AKS (nice-to-have), Azure Container Registry, Azure Monitor/Application Insights/Log Analytics, Azure Networking, Key Vault, Azure AD/Entra

· CI/CD: GitHub Actions and/or Azure Pipelines; artifact management (JFrog optional)

· IaC: Terraform or Bicep; policy-as-code (OPA/Azure Policy)

· Containers: Docker; image hardening; SBOM and supply-chain security (Dependabot/OWASP)

· Reliability: Autoscaling, health probes, rollout strategies, incident management (MTTR focus)

· Security: TLS, mTLS (where applicable), WAF, vulnerability scanning, secrets management, RBAC

Nice-to-Have

· AKS production experience; service mesh; canary controllers

· Chaos testing, load testing (k6/Locust), performance tuning

· Experience with AI/LLM-specific observability (prompt/latency tokens), gateway patterns

Experience on Arize Observability Tool

Total Experience

6+years

Relevant Experience

5+ years

Mandatory skills

Azure services, Terraform, AKS, Docker,

Desired skills

Azure AI services

Domain (Industry)

Telecom

Work Location

Bangalore

Background Check (Before onboarding / After onboarding)

After Onboarding

Mode of Interview- Telephonic/Face to Face/Video Interview

F2F or Video

WFO / WFH / Hybrid

Hybrid. Mon-Wed need to work from office

Shift Details (Time)

12.30PM to 9.30PM

Vendor Rate (INR/day)

10,500 INR/Day to 11,000 INR/Day