DevOps Engineer

Role Overview

We are looking for an experienced hands-on DevOps Engineer focused on Jira, Git, and AI-driven automation to power and enhance our Change Management, Release Management, and DevOps toolchains. The position involves platform administration, automation scripts, integrations, and continuous improvement of Jira, Confluence, GitHub/Bitbucket, and associated platforms with a strong focus on AI-enabled automation and platform engineering.

Key Responsibilities

• Oversee administration and upkeep of Jira, Confluence, GitHub Enterprise, and Bitbucket platforms including migrations and Single Sign-On (SSO) integrations using tools like Okta.
• Develop and configure Jira workflows, field setups, permission schemes, notification rules, and project templates.
• Manage user authentication, access controls, and governance policies across platforms.
• Create and maintain automation using Jira Automation, Groovy, Python, Shell scripting, and REST API integrations.
• Design integrations among Jira, Git repos, CI/CD pipelines, Service Management tools, and other enterprise systems.
• Implement and scale observability solutions using LGTM stack components (Loki, Grafana, Tempo, Mimir) powered by OpenTelemetry for comprehensive system monitoring.
• Develop custom automation APIs and tools in Python or Node.js for onboarding, patching, secret management, and related processes.
• Adopt AI and automation technologies to enhance workflows, ticket management, reporting, and overall efficiency.
• Manage Git repositories including branching models, permissions, webhooks, runners, and DevOps toolchain integrations.
• Lead platform upgrades, migrations, and optimization projects to maximize tool performance.
• Produce documentation, establish best practices, and offer technical leadership to stakeholders.
• Administer applications across multiple cloud environments such as AWS, GCP, Azure, and IBM.
• Apply Site Reliability Engineering principles by defining service level objectives, organizing on-call rotations, and driving root cause analyses to improve system stability.
• Continuously seek knowledge in emerging technologies including AI to align with future team requirements.

Required Skills & Experience

• Minimum 7 years of IT professional experience including at least 3 years managing Jira Administration (preferably Atlassian certified).
• Proven skills administering Jira, Confluence, GitHub Enterprise, and Bitbucket platforms.
• Hands-on experience with ScriptRunner, Groovy scripting, Jira Automation, and REST API usage.
• Proficiency in Python, shell scripting, and related automation tools.
• Knowledge of GitHub Actions, CI/CD pipelines, and DevOps best practices.
• Experience integrating Atlassian platform with enterprise authentication services such as LDAP, SSO, and SAML.
• Strong understanding of software development life cycle, Agile methodologies, Change and Release Management workflows.
• Familiarity with Linux/Windows server administration and SQL database operations.
• Desirable: Exposure to AI-based automation, Copilot tech, or generative AI-powered solutions.

Key Personal Attributes

• Practitioner with a passion for automation-first approaches.
• Analytical thinker with strong problem solving capabilities.
• Effective communication skills and ability to manage multiple stakeholder relationships.
• Self-driven, collaborative, and versatile in fast-paced dynamic environments.

Additional Information

This role functions as a platform engineer bridging software engineering and infrastructure, focusing on scalability, security, and reliability of core internal tools such as GitHub and Jira as well as observability platforms. The candidate will be instrumental in maintaining high reliability and operational efficiency in internal enterprise applications.