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Technical Project Manager ( Cloud & AI )

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Hybrid

Technical Project Manager ( Cloud & AI )

KR Elixir

Technical Project Manager ( Cloud & AI )

Skills

Google Cloud PlatformJavaTesting & QAMicroservicesSpring BootAIAWSAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Hybrid

Published on:

31 August 2026

What they need


About the Role:

We are looking for a Technical Project Manager / Engineering Manager with 12 - 16 years of experience to lead engineering teams and drive enterprise technology delivery.

The ideal candidate will have a strong foundation in Java, Spring Boot, Microservices and Cloud, combined with strong people and delivery leadership. Candidates should also have a strong understanding of Generative AI and/or Agentic AI, preferably with recent project exposure.

Key Responsibilities

  • Lead and manage engineering teams delivering Java, Microservices, Cloud and AI-enabled solutions.
  • Own project delivery including planning, resources, timelines, risks and dependencies.
  • Provide technical guidance across Java, Spring Boot, REST APIs, Microservices and Cloud.
  • Work with Architects and senior engineers on solution design, scalability, performance and engineering best practices.
  • Drive CI/CD, DevOps, testing, monitoring and production delivery practices.
  • Provide technical guidance on Generative AI and/or Agentic AI and identify opportunities for AI-enabled solutions.
  • Work with technologies/concepts such as LLMs, RAG, embeddings, vector databases and AI Agents.
  • Partner with Product, Architecture, QA and business stakeholders to drive successful delivery.
  • Manage team capacity, technical debt, delivery priorities and risks.
  • Mentor engineers and technical leads and drive team development and performance.
  • Ensure effective governance, documentation, security and continuous improvement.

Required Qualifications

  • 1216 years of experience in software engineering, technical delivery or technology leadership.
  • Strong background in Java, Spring/Spring Boot, REST APIs and Microservices.
  • Good experience with AWS, Azure and/or GCP.
  • Strong understanding of modern software engineering, CI/CD and DevOps practices.
  • Strong understanding of Generative AI and/or Agentic AI; hands-on/project experience is preferred.
  • Familiarity with LLMs, RAG, embeddings, vector databases, AI Agents or AI application integration.
  • Proven experience managing and mentoring engineering teams.
  • Strong project delivery, stakeholder management, communication and problem-solving skills.
  • Ability to balance people leadership, delivery ownership and technical decision-making

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