Sr. Platform Engineer - (Cloudera CDP & DevOps)

GSS Group; Bengaluru; On-site; INR 1,400,000 - 2,100,000; Full time

Job summary

GSS Group is seeking an experienced Technology Engineer to support enterprise Technology Platforms & Data Platforms initiatives, with strong expertise in Cloudera CDP, Hadoop ecosystem, DevOps, OpenShift, and CI/CD.

The role requires hands-on production support, platform engineering, automation, and observability, plus ownership of CDP administration, performance optimization, and CI/CD in large-scale environments. Collaboration with Infrastructure, DevOps, Security, and Data teams is essential.

Qualifications

• Hands-on production support experience in enterprise data/platform environments.
• Platform engineering and automation experience.
• Strong knowledge of containerized data platforms and CI/CD implementations.
• Experience with Cloudera CDP, CDS, and CDP security controls.
• Ability to optimize performance and reliability of large-scale Hadoop/Spark workloads.

Responsibilities

• Provide Tier-2 production support for Cloudera CDP environments.
• Install, configure, and maintain CDP clusters and CDS services.
• Manage CDP 7.1.9 upgrades and maintenance and containerization.
• Develop and maintain infrastructure automation for platform operations.
• Build and manage automated CI/CD pipelines for analytics workloads.
• Implement observability, logging, and alerting for platform health.

Skills

Cloudera CDP

Hadoop ecosystem

DevOps

OpenShift

CI/CD

Platform engineering

Automation

Observability

Production support

Spark performance

Tools

GitHub Actions

Jenkins

ArgoCD

Ansible

Terraform

Groovy

Python

Docker

Kubernetes

OpenShift

Job description

We are looking for an experiencedTechnology Engineerwith strong expertise inCloudera CDP, Hadoop ecosystem, DevOps, OpenShift, and CI/CDto support enterpriseTechnology Platforms & Data Platformsinitiatives.

The ideal candidate should possess hands-on production support experience, platform engineering expertise, automation capabilities, and strong knowledge of containerized data platforms. This role requires ownership of Cloudera platform administration, performance optimization, infrastructure automation, observability, and CI/CD implementation within large-scale enterprise environments.

Key Responsibilities

• Provide Tier-2 production support for enterprise Cloudera CDP environments.
• Install, configure, administer, and maintain Cloudera Data Platform (CDP) clusters.
• Perform installation, upgrades, patching, and maintenance ofCDP 7.1.9(or latest versions).
• Administer and supportCloudera Data Services (CDS) 1.5.4 / 1.5.5and latest releases.
• Enable and maintain enterprise security controls across Cloudera CDP environments.
• Optimize Hadoop cluster performance, resource utilization, and overall platform stability.
• Collaborate with Data Engineering teams to optimize Spark workloads and improve application performance.
• Troubleshoot and resolve production issues related:
• Spark Jobs
• Hive Jobs
• YARN Jobs
• Support CDP containerization using Cloudera Data Services.
• Design, develop, and maintain infrastructure automation for platform operations.
• Build and maintain automated CI/CD pipelines for analytics and data engineering workloads.
• Automate infrastructure provisioning, deployment, configuration management, and operational tasks.
• Implement observability, monitoring, logging, and alerting solutions for platform health.
• Automate security, compliance, and regulatory validation processes.
• Plan and execute automated patch management across enterprise environments.
• Work closely with Infrastructure, DevOps, Security, Data Engineering, and Platform teams to ensure reliable platform operations.
• Participate in Agile ceremonies and contribute to continuous engineering improvements.

Required Technical Skills

Cloudera & Hadoop

• Strong hands-on experience supporting Cloudera CDP production environments.
• Experience with:
• Cloudera Data Platform (CDP)
• CDP 7.1.9 or latest versions
• Cloudera Data Services (CDS) 1.5.4 / 1.5.5
• Hadoop ecosystem administration.
• Spark administration and performance optimization.
• Hive administration and troubleshooting.
• YARN administration and troubleshooting.
• Cluster installation, upgrades, maintenance, and optimization.

DevOps & Automation

Strong experience with:

• Ansible
• Shell Scripting
• Terraform
• Groovy
• Python automation

Experience developing infrastructure automation and operational workflows.

CI/CD

Hands-on experience building and managing automated pipelines using:

• GitHub Actions
• Jenkins
• ArgoCD

Experience implementing CI/CD for data engineering and analytics workloads.

Containers & Platform Engineering

Hands-on experience with:

• Docker
• Podman
• Kubernetes
• OpenShift (OCP)

Experience deploying and managing containerized data platform environments.

Observability & Monitoring

Experience implementing:

• Platform monitoring
• Logging
• Alerting
• Observability frameworks
• Performance monitoring

Security & Infrastructure

Experience with:

• CDP security implementation
• Authentication & authorization
• Security hardening
• Automated security checks
• Regulatory compliance automation
• Automated patch management

Operating Systems & Version Control

• Linux system administration
• Linux networking fundamentals
• Git version control
• Source code management best practices

Required Competencies

• Strong production support experience within enterprise environments.
• Excellent troubleshooting and root cause analysis skills.
• Strong understanding of distributed data platforms.
• Ability to optimize platform performance and reliability.
• Strong ownership mindset with focus on operational excellence.
• Excellent communication and stakeholder collaboration skills.
• Ability to work effectively in Agile engineering environments.
• Experience working across Infrastructure, DevOps, and Data Engineering teams.
• Strong analytical and problem-solving capabilities.

Preferred Experience

• Enterprise Data Platform Engineering.
• Large-scale Hadoop & Cloudera environments.
• Data Platform Operations.
• Platform Automation & Infrastructure as Code.
• DevOps Engineering.
• Cloud-native platform engineering.
• OpenShift-based enterprise deployments.