Senior Engineer - Cloud-infrastructure

Confidential (via Talento HR)

Bangalore, Karnataka · On-site · Full-time · 7-10 years experience

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About the role

Platform infrastructure

• Design, build, and operate cloud‑native infrastructure across Microsoft Azure and other cloud platforms

• Provision and manage infrastructure using Infrastructure as Code (Pulumi, Terraform, Bicep, ARM templates)

• Operate and optimise Kubernetes platforms (AKS) in production

• Own platform reliability, performance, security, and cost efficiency

• Share responsibility for platform stability and operational health, contributing to prevention, analysis, and continuous improvement

• Maintain clear, practical technical documentation and operational runbooks

Kubernetes & container platforms

• Manage container orchestration using Kubernetes, including deployment, scaling, and network configuration

• Package and deploy workloads using Helm

• Troubleshoot platform‑level issues related to containers and orchestration

• Support data‑intensive platform components and stateful services at infrastructure level

AI‑ready & data‑intensive workloads

• Enable AI‑ready platform capabilities for inference‑heavy and data‑intensive services

• Support GPU‑enabled workloads where required, including scheduling, isolation, and cost awareness

• Design platform patterns suitable for high‑throughput and low‑latency services

• Work closely with data and application teams to translate workload needs into robust platform solutions

Monitoring, observability & operations

• Implement and maintain monitoring and observability using Azure Monitor, Prometheus, Grafana, Tempo, or similar tools

• Build and evolve logging and telemetry pipelines to improve operational insight

• Reduce operational noise and improve system understanding through telemetry‑driven analysis

S ecurity & platform guardrails

• Apply security‑by‑design principles at platform level, including IAM, RBAC, network policies, and workload isolation

• Provide default platform capabilities for logging, traceability, and controlled access

• Ensure platform safeguards are pragmatic, scalable, and non‑blocking

CI/CD & automation

• Integrate platform capabilities with CI/CD and GitOps workflows

• Experience with tools such as GitHub Actions, Azure DevOps, Argo CD, or Flux

• Promote automation‑first approaches across platform operations

What we're looking for

• Strong experience operating cloud‑native platforms in production

• Solid hands‑on expertise with Kubernetes and Azure

• Experience with Infrastructure as Code

• Good understanding of platform operations, automation, and observability

• Ability to write maintainable automation scripts (PowerShell, Python, Bash, or similar)

• Strong problem‑solving skills and a collaborative mindset

• Fluency in English, written and spoken

Desirable experience

• 9+ years of experience supporting AI or ML workloads in production

• GPU workloads on Kubernetes

• Exposure to GitOps, service mesh (e.g. Istio), or hybrid infrastructure

• Background from industrial, enterprise, or regulated environments

Skills