DATAECONOMY

DevOps Engineer

Posted 4 Days Ago

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Hyderabad, Telangana, IND

In-Office

Senior level

Big Data • Cloud • Analytics • Consulting

The Role

Manage enterprise application releases across development, QA, and production environments, including weekly releases and emergency patches. Support Kubernetes and Red Hat OpenShift platforms, monitor cluster health, troubleshoot production issues, and maintain CI/CD pipelines. Configure environments using YAML and Bash/Shell automation, address security vulnerabilities, coordinate with development, QA, and infrastructure teams, and participate in incident management, root cause analysis, and continuous improvement.

Summary Generated by Built In

Job Title: DevOps Engineer
Experience Level:6- 8years
Location: Hyderabad

Qualification: BTech/MTech/MCA
Mode of Work: Hybrid

We are seeking an experienced Release Engineer / DevOps Engineer with a strong operations and production support mindset to manage enterprise-grade application deployments and platform stability. The role focuses on release management, CI/CD support, Kubernetes/OpenShift operations, and cross-team coordination to ensure reliable and secure production releases.

Key Responsibilities:

Manage and coordinate deployments across Development, QA, and Production environments

Execute weekly releases and support ad-hoc patch deployments

Act as the first point of contact for deployment-related and environment issues

Provide operational support and troubleshooting for Kubernetes / Red Hat OpenShift platforms

Monitor cluster health and proactively resolve platform-level issues

Support, maintain, and enhance CI/CD pipelines and automation using Bash/Shell scripting

Assist application teams with onboarding, environment setup, and YAML-based configurations

Ensure adherence to security and compliance standards, including tracking and fixing vulnerabilities

Collaborate closely with Development, QA, and Infrastructure teams to ensure release stability and smooth deployments

Participate in incident management, root cause analysis, and continuous improvement initiatives

Requirements

Strong hands-on experience in Release Engineering or DevOps roles

Solid expertise in Kubernetes and Red Hat OpenShift

Good understanding of CI/CD pipelines, containerization, and deployment workflows

Proficiency in Shell/Bash scripting

Experience working with YAML configurations and Git-based version control

Strong troubleshooting skills with a focus on production support and incident handling

Ability to work in a fast-paced, operations-heavy environment

Benefits

Comprehensive Medical Coverage:
Health insurance of INR 5.0 Lakhs for you and your family (up to 6 members), ensuring complete peace of mind.
Robust Protection Plans:
Group Personal Accident Insurance and Group Term Life Insurance to safeguard you and your loved ones.
Retirement Benefits:
PF and Gratuity provided as per standard government regulations.
Flexible Work Options:
Enjoy hybrid work arrangements & flexible working hours
Generous Leave Policy:
21 days of annual leave, in addition to 10 company-declared holidays.
Employee Well-being Spaces:
Access to a dedicated break-out area with round-the-clock refreshments for relaxation and rejuvenation.

Skills Required

6–8 years of experience
BTech, MTech, or MCA degree
Strong hands-on experience in Release Engineering or DevOps
Solid expertise in Kubernetes and Red Hat OpenShift
Understanding of CI/CD pipelines, containerization, and deployment workflows
Proficiency in Shell or Bash scripting
Experience with YAML configurations and Git-based version control
Strong troubleshooting skills focused on production support and incident handling
Ability to work in a fast-paced, operations-heavy environment

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The Company

414 Employees

Year Founded: 2018

What We Do

DATAECONOMY is a global, cloud-first data and AI consultancy delivering enterprise-grade solutions through an innovative intellectual-property suite. Its work spans data and BI platform modernization, self-service AI, data mesh and fabric, master data management, governance, cloud enablement, digital engineering, knowledge graphs, and machine lakes supporting cybersecurity and financial-crime use cases for enterprise clients.