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Platform Tools Engineer- Jira Admin

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Onsite

Platform Tools Engineer- Jira Admin

Tata Consultancy Services

Platform Tools Engineer- Jira Admin

Skills

CybersecurityAIJiraConfluenceCompliance

2 months ago

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Important information


Contract type:

Permanent

Location:

Mumbai, Maharashtra, India

Work mode:

Onsite

Published on:

10 August 2026

What they need


Role- Platform Tools Engineer- Jira Admin

Desired experience Range- 6-12 Years

Location - Mumbai

Skill Required -

  • Proven experience administering Atlassian suites (Jira, Confluence, Jira Product Discovery, Service Management) in a large enterprise environment.
  • Strong experience configuring, customizing, automating, and integrating SDLC tools.
  • Experience driving AI adoption, automation, and productivity improvements in engineering workflows.
  • Strong understanding of DevOps principles and Agile practices.
  • Data-driven mindset with focus on measurable outcomes (KPIs, dashboards).
  • Experience in Jira setup (company-managed and team-managed projects), including configuration and integrations.
  • Strong stakeholder management and cross-functional collaboration skills.
  • Ability to quickly adapt to new tools and technologies.
  • Ability to operate in a fast-paced environment and manage multiple priorities.
  • Mindset focused on continuous improvement and innovation.
  • Hands-on expertise with Atlassian suite (Jira, Confluence, Jira Product Discovery, Service Management) including setup, administration, and governance.

Key Responsibilities -

SDLC Platform Ownership & Standardization

  • Own and evolve SDLC tooling as a platform across the organization.
  • Define standardized workflows, templates, and best practices across engineering teams.
  • Manage tooling roadmap based on business and engineering priorities.
  • Treat SDLC tooling as a product, managing backlog, roadmap, and continuous value delivery.

AI-Driven Efficiency & Automation

  • Drive adoption of AI capabilities across SDLC tools
  • Identify and implement automation opportunities to reduce manual effort.
  • Establish governance and guardrails for AI usage (compliance, data privacy).

Transformation Enablement

  • Enable DevOps and SDLC transformation by aligning tools, processes, and ways of working across teams.
  • Collaborate with transformation, engineering, and project management teams to understand requirements and deliver scalable solutions.

Integration & End-to-End Visibility

  • Integrate SDLC tools with CI/CD pipelines, cloud environments, and service management tools.
  • Enable visibility across full delivery lifecycle (idea build deploy operate).

Governance, Security & Compliance

  • Define access control, governance models, and audit mechanisms for tools.
  • Ensure compliance with organizational security and data policies.

Stakeholder Collaboration

  • Collaborate with transformation, engineering, project management, Cloud Platform, and Cybersecurity teams.
  • Act as a strategic advisor on tooling strategy and optimization.

Adoption & Enablement

  • Provide training, documentation, and onboarding for users.
  • Drive adoption of tools and standardized practices across teams.

Continuous Improvement

  • Continuously improve tools and processes based on feedback and metrics.
  • Stay updated with latest features and industry best practices.

Key Outcomes / KPIs

  • Reduction in cycle time and improved delivery efficiency.
  • Increased adoption of standardized workflows.
  • Higher automation coverage across SDLC processes.
  • Measurable productivity gains through AI adoption.
  • Improved visibility and traceability across the SDLC lifecycle

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