Principal Architect

9 hours ago


Gurgaon, Haryana, India IndiGo (InterGlobe Aviation Ltd) Full time ₹ 12,00,000 - ₹ 36,00,000 per year

About The Role
As Principal Architect – Digital Velocity & Engineering, you will be the catalyst for driving next-generation DevOps, DevSecOps, and AI-enabled engineering practices across all digital delivery channels of the airline. Reporting to the Head of Architecture, you will shape architecture strategy, product/tool selection, engineering adoption, and embed AI-powered automation across the SDLC. This leadership role requires deep hands-on expertise combined with architectural vision—empowering development, testing, and operations teams to deliver secure, intelligent, and agile digital experiences at scale.

Key Responsibilities
Architecture & Strategy

  • Define and evolve the digital architecture blueprint that enables agility, automation, and security across web and mobile channels.
  • Translate business transformation goals into technology reference architectures focusing on scalability, velocity, and AI-first engineering adoption.
  • Partner with enterprise and platform architects to embed DevOps, security, and automation principles into the overall IT strategy.

Product Selection & Engineering Excellence

  • Evaluate, select, and integrate best-in-class DevOps, DevSecOps, and AI-driven tools in collaboration with startups, hyperscalers, and established vendors.
  • Promote product engineering standards, ensuring selected tools and platforms are secure, scalable, and developer-friendly.
  • Drive adoption of modern software engineering practices including containerization, IaC, and cloud-native delivery frameworks.

Adoption Across the SDLC

  • Influence all digital delivery teams (developers, testers, QA engineers, release managers, and SREs) to adopt centrally deployed DevOps and DevSecOps platforms.
  • Build enterprise-wide frameworks that embed AI agents and intelligent automation into each stage of the SDLC—from planning, coding, testing, and deployment to observability and remediation.
  • Lead cultural transformation to make AI and automation integral to daily engineering practices, increasing release frequency, quality, and security.

AI-Driven Velocity & Innovation

  • Partner with new-age AI startups and enterprise AI platforms to bring innovation into release pipelines, quality assurance, operations monitoring, and predictive analytics.
  • Implement AI-powered agents for automated code reviews, test generation, vulnerability detection, compliance checks, and proactive incident management.
  • Develop feedback loops across delivery teams to demonstrate measurable improvements in speed, security, and reliability using AI tools.

Required Experience & Skills

  • 10–15 years of progressive experience in architecture and solution delivery, with a background in digital-native or high-scale product organizations.
  • Demonstrated hands-on expertise in DevOps and DevSecOps engineering, including CI/CD, IaC, Kubernetes, container security, SAST/DAST, secrets management, and compliance automation.
  • Enterprise-level architecture experience, with proven ability to design scalable, secure digital platforms supporting web and mobile applications.
  • Strong track record of selecting and integrating best-fit products and platforms, balancing startup innovation with enterprise reliability.
  • Hands-on experience driving AI/ML adoption in SDLC—intelligent code quality tools, AI testing automation, predictive monitoring, and agent-based delivery orchestration.
  • Comfortable shaping product engineering standards and fostering adoption across development, QA, and operations communities.
  • Excellent collaboration and influence skills; able to engage delivery leadership, engineers, and partners to drive organizational change.

Who Can Apply

  • Professionals from digital-native companies or high-scale tech-driven organizations who have scaled architecture or delivery transformations.
  • Technology leaders with proven contributions to DevOps/DevSecOps and SDLC modernization.
  • Individuals who have worked closely with AI-driven engineering tools, startups, or product ecosystems.
  • Leaders who bring thought leadership in automation, platform engineering, and secure agile delivery.


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