We are looking for an experienced Senior Technology Engineer with strong expertise in DevOps, Big Data Platforms, CI/CD automation, and container orchestration technologies. The ideal candidate will have hands-on experience managing enterprise-scale data platforms, Hadoop ecosystems, Cloudera environments, Kubernetes/OpenShift platforms, and automation frameworks. The role focuses on designing, implementing, and supporting highly available technology platforms, enabling self-service automation, improving platform reliability, and collaborating with engineering, data, security, and architecture teams in an Agile DevOps environment.

The successful candidate will have strong experience in production environments, platform engineering, automation, infrastructure optimization, and supporting large-scale enterprise data platforms.

Requirements Key Responsibilities: DevOps & CI/CD Engineering: Design, implement, and manage CI/CD pipelines using tools such as Jenkins, GitHub Actions, GitOps, and ArgoCD

Automate software delivery workflows and streamline development lifecycle processes

Build and maintain automated deployment pipelines for data and analytics projects

Develop automation scripts using Python, Shell, Groovy, Terraform, and Ansible

Automate security checks, compliance validations, patching processes, and operational activities Big Data Platform Engineering: Manage and support enterprise Big Data platforms using Hadoop ecosystem technologies

Provide hands-on Tier-2 production support for Cloudera Data Platform (CDP) environments

Perform installation, configuration, maintenance, and troubleshooting of Cloudera platforms

Optimize cluster performance and improve reliability of distributed data platforms

Work closely with Data Engineers to optimize Spark jobs, Hive workloads, and Yarn-based processing

Support Cloudera Data Services and containerized data workloads Containerization & Platform Engineering: Deploy and manage containerized applications using Docker, Podman, Kubernetes,



and OpenShift

Support OpenShift Container Platform (OCP) environments ensuring scalability, availability, and operational efficiency

Implement container management best practices across enterprise platforms

Support cloud-native application and platform modernization initiatives Infrastructure Automation: Develop and maintain Infrastructure as Code (IaC) solutions using Terraform and Ansible

Automate infrastructure provisioning, configuration management, and operational processes

Build reusable automation frameworks to improve platform efficiency

Support automated patching and platform maintenance activities Monitoring & Performance Optimization: Implement monitoring and observability solutions for enterprise platforms

Troubleshoot performance issues across Hadoop, Spark, Hive, and distributed systems

Improve platform stability, scalability, and operational efficiency

Ensure high availability and reliability of technology services Collaboration & Delivery: Work closely with Data Engineering, Application Development, Security, Architecture, and Infrastructure teams

Collaborate with product and platform teams to onboard applications and users onto technology platforms

Participate in Agile ceremonies including sprint planning, backlog management, stand-ups, and retrospectives

Deliver solutions from inception through implementation and operational support

Provide technical guidance and support for platform adoption Required Technical Skills: Mandatory: 8+ years of hands-on Technology Engineering / Platform Engineering experience





Minimum 4 years of production experience with Hadoop ecosystem technologies

Strong hands-on experience with Cloudera Data Platform (CDP)

Experience with Cloudera installation, configuration, maintenance, and troubleshooting

Experience optimizing Spark jobs, Hive workloads, and Yarn processes

Strong experience with CI/CD automation and GitOps practices

Hands-on experience with:

Jenkins

GitHub Actions

ArgoCD

Git

Strong scripting experience

Python

Shell scripting

Groovy

Experience with

Terraform

Ansible

Strong containerization experience

Docker

Podman

Strong Kubernetes and OpenShift experience

Strong Linux OS and networking fundamentals

Experience supporting enterprise-scale, highly available technology platforms Preferred / Good to Have: Public cloud experience (AWS/Azure/GCP)

Experience working on Data Science platforms or ML engineering environments

Experience with Kafka and distributed data architectures

Exposure to security automation and regulatory compliance checks

Experience working in banking, financial services, or large enterprise environments Required Experience: Experience working with large and complex enterprise environments requiring high availability, reliability, scalability, and observability

Experience delivering technology solutions from design through production implementation

Experience working in Agile + DevOps delivery models

Strong understanding of platform engineering practices Education: Bachelor's degree in Computer Science, Information Technology, Engineering, or related field

Equivalent professional experience will also be considered Key Competencies: Strong problem-solving and troubleshooting skills

Excellent communication and stakeholder management skills

Self-starter with strong ownership mindset

Ability to work under pressure in production environments

Cutting-edge mindset with focus on automation and continuous improvement

Strong collaboration skills across engineering teams

📌 Sr. Technology Engineer - (DevOps | Hadoop | Cloudera) (Bengaluru)
🏢 Global Software Solutions Group
📍 Bengaluru