DevOps Data Hadoop Engineer - Kubernetes, CI/CD & Big Data

synechron; Bengaluru; On-site; INR 7,809,000 - 10,565,000; Full time

Job summary

Synechron seeks a DevOps Data Hadoop Technology Engineer with 7+ years of experience to design and manage CI/CD pipelines, containerized platforms, and distributed data solutions. You will work with Jenkins, GitOps, Kubernetes, OpenShift, Terraform, Ansible, Hadoop, Spark, and Kafka to boost deployment efficiency and platform resilience.

The role emphasizes security, monitoring, scalability, and collaboration across engineering, data, security, and operations teams.

Qualifications

• 7+ years in DevOps, platform engineering, infrastructure or data engineering roles.
• Experience designing and managing CI/CD pipelines with Jenkins and automation tools.
• Knowledge of GitOps and version-controlled delivery.
• Experience with containerized apps on Kubernetes/OpenShift.
• Infrastructure as Code using Terraform, Ansible, or equivalent.

Responsibilities

• Design, implement, and manage CI/CD pipelines with Jenkins and automation.
• Automate the software development lifecycle from source to deployment and ops.
• Deploy and manage containerized apps via Kubernetes/OpenShift.
• Automate infrastructure with Terraform/Ansible or similar tools.
• Architect big data platforms using Hadoop, Spark, Kafka.

Skills

Scripting & automation

Python/Bash

Distributed systems

CI/CD experience

Cloud & Kubernetes

Tools

Jenkins

Kubernetes

OpenShift

Terraform

Ansible

Hadoop

Spark

Kafka

Job description

Ansible Bash Capacity Planning CI/CD Compliance Documentation

Job Summary

Synechron is seeking a DevOps Data Hadoop Technology Engineer with 7+ years of experience in DevOps, platform engineering, infrastructure management, and big data technologies. The role will design and manage CI/CD pipelines, containerized platforms, infrastructure as code, and distributed data solutions using Jenkins, GitOps, Kubernetes, OpenShift, Terraform, Ansible, Hadoop, Spark, and Kafka. The position will contribute to business objectives by improving deployment efficiency, platform reliability, data-processing performance, scalability, security, and operational resilience.

Software Requirements

• Required: Minimum 7+ years of experience in DevOps, platform engineering, infrastructure engineering, data engineering, or related technology roles.
• Experience designing, implementing, and managing CI/CD pipelines using Jenkins and related automation tools.
• Knowledge of GitOps principles and version‑controlled application and infrastructure delivery.
• Experience deploying and managing containerized applications using Kubernetes and OpenShift.
• Experience developing and maintaining Infrastructure as Code using Terraform, Ansible, or equivalent tools.
• Hands‑on experience with big data technologies such as Hadoop, Spark, and Kafka.
• Understanding of distributed data architectures, data processing, storage, scalability, fault tolerance, and high availability.
• Experience implementing monitoring, logging, alerting, and observability solutions.
• Knowledge of infrastructure, application, and data‑platform security practices.
• Familiarity with governance standards, compliance requirements, change management, and operational support.
• Experience collaborating with development, operations, data engineering, infrastructure, and security teams.
• Ability to use current and supported versions of relevant tools and technologies based on project requirements.

Preferred

• Experience managing cloud‑based Kubernetes, OpenShift, and big data platforms.
• Familiarity with automated testing, code quality checks, security scanning, and compliance controls in CI/CD pipelines.
• Experience with data lake, event‑driven, batch, and streaming architectures.
• Knowledge of container security, image management, service mesh, and platform governance.
• Familiarity with deployment automation, configuration management, and infrastructure monitoring tools.
• Experience with capacity planning, disaster recovery, incident response, and platform resilience.
• Knowledge of cost optimization, resource efficiency, and sustainable infrastructure practices.

Overall Responsibilities

• Design, implement, and manage CI/CD pipelines using Jenkins, GitOps practices, and related automation tools.
• Automate the software development lifecycle from source‑code integration through deployment and operational support.
• Deploy, configure, and manage containerized applications using Kubernetes and OpenShift.
• Develop, maintain, and automate infrastructure using Terraform, Ansible, or equivalent Infrastructure as Code tools.
• Architect, implement, and support big data platforms and solutions using Hadoop, Spark, Kafka, and related technologies.
• Design and manage distributed data architectures that support efficient, scalable, and fault‑tolerant data processing and storage.
• Collaborate with development, operations, data engineering, infrastructure, and security teams to understand requirements and deliver robust technical solutions.
• Implement monitoring, logging, alerting, and observability for applications, infrastructure, containers, and data platforms.
• Optimize system performance, reliability, scalability, availability, and resource utilization.
• Troubleshoot deployment failures, infrastructure issues, container problems, data‑processing errors, and platform incidents.
• Apply security best practices to infrastructure, applications, CI/CD pipelines, containers, and data platforms.
• Support governance, compliance, audit, change management, and operational readiness activities.
• Maintain technical documentation for pipelines, infrastructure, deployment procedures, platform configurations, and operational processes.
• Identify opportunities to improve automation, delivery efficiency, platform resilience, data processing, and sustainability.
• Ensure solutions meet agreed technical, security, operational, performance, and business requirements.

Technical Skills (By Category)

Programming Languages

• Essential: Ability to use scripting and programming languages for automation, deployment, configuration, and operational support. Understanding of command‑line tools, build processes, configuration management, and automation concepts. Ability to read and modify pipeline scripts, deployment manifests, infrastructure definitions, and configuration files. Understanding of programming and implementation concepts relevant to distributed systems and data platforms.
• Preferred: Experience with Python, Bash, or another scripting language.
• Familiarity with Java, Scala, or

Your Match

How well this role fits your profile.

Confirmed H-1B sponsor. The Department of Labor record shows filings under SYNECHRON, INC. .

Filings 6,682

Approved 93.3%

Avg wage $96K

From public Department of Labor LCA disclosures. Sponsorship history is a signal about the employer, not a commitment on this role.