GitHub Actions Specialist

Umanist NA

Kerala

Hybrid

INR 1,500,000 - 2,500,000

Full time

14 days+

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Job summary

A leading technology company seeks a Lead I – DevOps Engineering in Kerala. The role focuses on designing and optimizing CI/CD solutions with significant expertise in GitHub Enterprise and Actions. Responsibilities include configuring pipelines, automating processes, and mentoring teams. The ideal candidate possesses over 9 years of IT experience and strong problem-solving skills, preferably with a Bachelor's degree in a related field. This position offers a hybrid work model with opportunities for significant contributions to DevOps transformation initiatives.

Qualifications

9+ years of overall IT experience.
Strong hands-on experience with GitHub Enterprise and CI/CD pipelines.
Hands-on experience with AI-based or agentic automation solutions.

Responsibilities

Design, implement, configure, and troubleshoot CI/CD pipelines using GitHub Actions.
Translate customer and business requirements into DevOps component designs.
Optimize DevOps processes for efficiency, cost, quality, and reliability.

Skills

GitHub Actions

Python

Docker

Kubernetes

AWS

Jenkins

Ansible

Agile tools

Education

Bachelor’s degree in Computer Science, IT, or a related field

Tools

GitHub Enterprise

Jira

Maven

ELK

Job description

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Lead I – DevOps Engineering (GitHub Enterprise & GitHub Actions)

Job Title: Lead I – DevOps Engineering (GitHub Enterprise & GitHub Actions)

Domain: Information Technology (IT)

Experience: 9–13 years

Employment Type: Full-time | Hybrid (3 days work from office)

Seniority level: Mid‑Senior level

Job Summary

The DevOps Engineering Lead will be responsible for designing, implementing, and optimizing CI/CD solutions with a strong focus on GitHub Enterprise and GitHub Actions. The role requires hands‑on expertise in DevOps automation, infrastructure provisioning, containerization, and emerging Agentic AI solutions, along with the ability to mentor teams and drive DevSecOps best practices across the SDLC.

The candidate will work under the guidance of senior architects while independently managing at least one Agile team and contributing to large‑scale DevOps transformation initiatives.

Key Responsibilities

Design, implement, configure, and troubleshoot CI/CD pipelines using GitHub Actions and other CI/CD tools.
Translate customer and business requirements into DevOps component designs and automation solutions.
Develop, test, debug, document, and support DevOps tools, pipelines, and automation components.
Reuse, enhance, or reconfigure existing DevOps components for new use cases.
Optimize DevOps processes for efficiency, cost, quality, and reliability.
Validate solutions with stakeholders and support integration and commissioning activities.
Automate build, deployment, installation, and configuration activities using scripts and automation frameworks.
Automate infrastructure provisioning on cloud and on‑prem environments under architectural guidance.
Develop and maintain scripts using Python, Shell, PowerShell, Groovy, or Perl.
Support repository management and migration automation using Git‑based tools.
Configure and manage cloud infrastructure on AWS, Azure, or GCP.
Design and manage containerized environments using Docker and Kubernetes.
Implement security best practices within CI/CD pipelines and DevSecOps workflows.
Support KPI improvements and DevSecOps metrics such as change failure rate, defect leakage, and regression efficiency.
Design and deploy agentic AI solutions with minimal human intervention.
Build and orchestrate autonomous and multi‑agent systems using frameworks such as LangChain, AutoGPT, or OpenAI Functions.
Integrate AI agents with APIs, real‑world systems, and enterprise knowledge bases.
Guide and mentor junior DevOps engineers.
Participate in code reviews and ensure adherence to DevOps standards and best practices.
Work closely with development, QA, operations, and platform teams in Agile environments.
Prepare and share status reports with senior stakeholders.
Create training materials, SOPs, and onboarding documentation for DevOps tools and platforms.
Automated components for installation, configuration, build, and deployment processes.
Configured CI/CD pipelines consumable by application development and support teams.
Scripts and automation frameworks supporting infrastructure and application delivery.
Successful onboarding of users and application teams onto DevOps platforms.
Improved process efficiency, reduced error rates, and measurable DevOps maturity gains.