IndiGo is India’s largest and most preferred passenger airline and amongst the fastest growing airlines in the world.We have a simple philosophy: offer fares that are affordable, flights that are on time, and provide a courteous and hassle-free travel experience across our unparalleled network. We show that low cost does not mean low quality. With our fleet of over 320 aircraft, we operate well over 2000+ daily flights, connecting over 118 destinations (of which 32 international), welcoming 100 million customers on board last year. We have an industry leading on-time performance and one of the highest customer NPS in the Indian spanet. At IndiGo, we will continue to extend our scope, by spreading our wings internationally, developing from a domestic carrier to a global aviation giant.

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.

LI-AR1

At IndiGo, we believe in the innate strength of an energetic, diverse, and inclusive workforce, where the viewpoints and life experiences of our employees help us foster strong connection with all our customers. Our diversity equity and inclusion efforts are designed to attract, nurture, and advance the lives of our employees and customers irrespective of their, but not limited to, gender, race, color, religion, caste, creed, ethnicity, origin, language, social and economic status, sexual orientation, persons with disabilities, nationality, age, marital and maternity status.

IndiGo does not charge fees for Job Interviews, Registration, Verification or Offer Letters. All Official communication will be from verified IndiGo IDs (e.g., xxxgoindigo.in). Please report any fake job offer to eco.goindigo.in

At IndiGo we are committed to fostering an inclusive and equitable workplace. All employment decisions are made solely on the basis of merit and qualifications, without regard to a candidate’s gender, race, color, religion, caste, creed, ethnicity, language, sexual orientation, marital status, maternity status, disability, or social and economic background’