C-Serv

Information Technology and Services

SeniorInfrastructureEngineer

Bengaluru, Karnataka, India FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Infrastructure Engineer at C-Serv. Skills: On-prem infrastructure, Kubernetes, Infrastructure as Code. Design platform services. Deploy platform services”

What You'll Achieve.

Deliver analytical power; Operate with confidence

Industry & Context.

Information Technology and Services
Problems you'll solve

Troubleshooting; Performance analysis; Scalability forecasting

Eligibility Requirements

On-prem

What They're Looking For.

Must Have

Production experience bringing cloud-like capabilities (EMR, S3, Lambda, SQS equivalents) to on-prem solutions, Hands-on experience setting up Big Data infrastructure on-prem (Hadoop, EMR on bare metal), Infrastructure as Code expertise: Terraform, ArgoCD, and GitHub Actions, GitOps and pipeline automation skills, Advanced Kubernetes skills including cluster administration, Production experience with distributed storage infrastructure (MinIO / S3-alike), Production experience with distributed cache infrastructure (Redis, Memcached), Solid grounding in observability: OpenTelemetry, Prometheus + Grafana, and Loki

Nice to Have

Experience managing local artifact registries (Nexus or similar), Hypervisor and OS-level troubleshooting and performance analysis, Backup and recovery strategies for distributed data systems, Capacity analysis and scalability forecasting

What You'll Do.

Design platform services

Deploy platform services

Operate platform services

Build Infrastructure as Code pipelines

Maintain Infrastructure as Code pipelines

Run Kubernetes clusters

Scale Kubernetes clusters

Manage cluster administration

Manage cluster networking

Manage cluster security

Stand up Big Data infrastructure

Manage Big Data infrastructure

Architect distributed storage systems

Operate distributed storage systems

Architect distributed caching layers

Operate distributed caching layers

Build observability stack

Maintain observability stack

How You'll Work.

Team & Collaboration

Work with product team

Process & Methodology

Plan ahead

Full Job Description

Most organisations moved to the cloud and never looked back. But some of the most complex, mission-critical workloads still demand something different — the precision, control, and resilience that only on-prem infrastructure can deliver. We’re looking for a **Senior Platform Engineer** who has spent real time building and operating enterprise-grade platform services **outside the public cloud**. Someone who knows how to bring cloud-like capabilities — think EMR, S3, Lambda, SQS — into on-prem and hybrid environments, and who thrives in the kind of work where you can’t just click “provision” and walk away. If you’ve designed, deployed, and operated big data infrastructure, distributed storage, caching layers, and observability stacks on bare metal or private cloud — this role was written for you. ### What You’ll Own • Design, deploy, and operate enterprise-grade platform services across on-prem and hybrid cloud environments. • Build and maintain Infrastructure as Code pipelines using Terraform, ArgoCD, and GitHub Actions — bringing GitOps discipline to every deployment. • Run and scale Kubernetes clusters at an advanced level: not just deploying workloads, but managing cluster administration, networking, and security. • Stand up and manage Big Data infrastructure on-prem (Hadoop, EMR-equivalent), delivering the same analytical power enterprises expect from cloud — without it. • Architect and operate distributed storage systems (MinIO, S3-compatible) and distributed caching layers (Redis, Memcached) in production environments. • Build and maintain a full observability stack — OpenTelemetry, Prometheus, Grafana, and Loki — ensuring the team has the visibility to operate with confidence. **Requirements** **This is not a cloud-first role.** We need someone who has done this work on-prem, in production, at scale. Specifically: **Required** • Proven production experience bringing cloud-like capabilities (EMR, S3, Lambda, SQS equivalents) to on-prem solutions. • Hands-on ex

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