How You'll Help Us Keep Climbing (Overview & Key Responsibilities) Role Summary As an Engineering Leader, you will provide technical and people leadership for teams delivering complex software products and platforms.

You will partner with architects, product leaders, and engineering teams to define technology strategy, guide solution delivery, and ensure successful execution of cloud-native solutions on AWS. This role requires a strong blend of engineering leadership, organizational development, operational excellence, and AI-enabled innovation.

Key Responsibilities Engineering Leadership

- Lead, coach, and develop multiple teams of software engineers and technical leads.
- Lead, coach, and inspire high-performing teams of software engineers, technical leads, and engineering managers to deliver exceptional business outcomes.
- Foster a culture of innovation, accountability, continuous improvement, inclusion, and customer obsession.
- Build, develop, and retain top engineering talent through effective hiring, mentoring, performance management, and career development.
- Strengthening engineering and technical leadership capabilities across modern software engineering, cloud-native technologies, AI, and agentic systems.
- Create and sustain scalable, high-performing, AI-ready engineering organizations that embrace learning, experimentation, and operational excellence.
- Lead talent planning processes, including performance reviews, compensation planning, succession planning, and leadership development.
- Drive organizational effectiveness through strategic workforce planning, skills development, and capability-building initiatives.
- Cultivate an inclusive, diverse, and collaborative team environment that reflects Delta's values of Care, Integrity, Resilience, and Servant Leadership.
- Attract, develop, and empower world-class engineering talent while fostering engagement, retention, and long-term growth opportunities.
- Serve as a trusted leader and coach, enabling teams to navigate change, adopt emerging technologies, and deliver measurable business impact.

Product & Delivery Leadership

- Own end-to-end delivery of strategic technology initiatives and customer-facing applications.
- Partner with Product Managers and Business Leaders to define roadmaps and execution strategies.
- Drive Agile and DevOps practices to improve speed, quality, and predictability of delivery.
- Manage program risks, dependencies, capacity planning, and stakeholder communications.
- Ensure achievement of business outcomes through measurable engineering execution.
- Manage engineering capacity, prioritization, and investment decisions aligned to business objectives.
- Communicate roadmap progress, risks, and outcomes to senior leadership and stakeholders.
- Partner with Product, Security, Architecture, and Enterprise Platform teams to deliver strategic initiatives.

Technical Leadership

- Guide architecture, design reviews, and technology decisions.
- Lead development of cloud-native, microservices-based, event-driven applications.
- Champion engineering excellence, automation, observability, reliability, and security.
- Establish best practices for scalable, resilient, and secure software development.
- Drive adoption of platform engineering and developer productivity initiatives.

AI & Agentic Engineering Leadership

- Drive implementation of AI-assisted software development using tools such as GitHub Copilot, Claude, and similar coding assistants.




- Partner with Data Science and AI teams to integrate Generative AI, ML, and Agentic AI capabilities into products and engineering workflows.
- Lead teams building AI-powered agents capable of autonomous reasoning, task execution, workflow orchestration, and decision support.

Promote Design Patterns Leveraging

- Large Language Models (LLMs)
- Retrieval Augmented Generation (RAG)
- Agentic Workflows
- Model Context Protocol (MCP)
- Multi-Agent Systems
- AI Orchestration Frameworks
- Establish governance and quality standards for AI-generated code and AI-enabled applications.
- Drive measurable improvements in engineering productivity through AI-enabled SDLC processes.

Operational Excellence

- Establish engineering KPIs, SLOs, and platform health metrics.
- Improve reliability, availability, performance, and scalability of applications.
- Leverage AIOps and intelligent observability platforms to reduce incidents and improve operational outcomes.
- Lead incident response, root-cause analysis, and continuous improvement initiatives.

What You Need To Succeed (Minimum Qualifications)

- Bachelor’s degree in computer science, Engineering, Information Technology, or related field.
- 14+ years of progressive software engineering experience with at least 5+ years leading engineering teams and people managers.
- Demonstrated success building, scaling, and developing high-performing engineering organizations.
- Proven experience delivering enterprise-scale distributed systems and customer-facing applications.
- Experience driving adoption of AI-assisted software development tools such as GitHub Copilot, Claude, Cursor, or similar platforms.
- Understanding of Agentic AI concepts including AI agents, orchestration frameworks, RAG architectures, and Model Context Protocol (MCP).
- Experience leading teams that develop or integrate Generative AI and Agentic AI capabilities into enterprise applications.
- Strong experience with cloud platforms (AWS preferred).
- Experience leading Agile product and engineering organizations.
- Strong stakeholder management and executive communication skills.
- Experience driving organizational change and technology modernization initiatives.

Behavioral Competencies

- Ability to champion a cooperative environment by empowering team members, demonstrating resilience, being inclusive and building a culture of trust.
- Ability to build and sustain robust networks across internal and external stakeholders.
- Being a coach/mentor/advisor to drive continuous team development and growth.
- Use systemic thinking to drive business results and strategic decisions that enhance organizational outcomes.
- Ability to advocate for customer-focused innovations, model empathy in decision-making, inspiring others to approach problems from the customer’s perspective and decisions that reflect an uncompromising commitment to customer safety, fostering trust and loyalty.

What Will Give You a Competitive Edge (Preferred Qualifications)

- Master’s degree in Computer Science, Engineering, or related field.
- Experience working in an airline technology environment is preferred.




- Experience managing globally distributed engineering teams.
- Hands-on experience with Generative AI, AI platforms, and machine learning solutions.
- Experience implementing Platform Engineering and Internal Developer Platforms.
- AWS certifications or cloud architecture certifications.
- Experience with Site Reliability Engineering (SRE) practices.
- Experience driving enterprise AI adoption programs.

About The Company What started as a humble, little aerial crop-dusting operation called Huff Daland Dusters in 1924 has now grown into the U.S. global airline leader in safety, innovation, reliability, and customer experience. Headquartered in Atlanta, Georgia, Delta Air Lines is known for its operational excellence and award-winning customer service. Powered by our employees worldwide, Delta has led the airline industry in operational excellence for a decade while maintaining our reputation for award-winning customer service. With our mission of connecting the people and cultures of the globe, Delta strives to foster understanding across a diverse world and serve as a force for social good.

In 2026, Delta Air Lines continued to earn global recognition for its performance, culture and operational excellence. Delta was named to Glassdoor’s 2026 Top 100 Best Places to Work list for the ninth time, standing as the only airline recognized. Delta also secured the 11th spot on Fortune’s World’s Most Admired Companies list, marking its 13th consecutive year earning this distinction.

Delta was also recognized by Cirium as the top on-time airline in North America for the fifth consecutive year, underscoring its unwavering commitment to reliability and customer experience.

About The Delta Technology Hub (DTH), Bangalore The DTH is one of Delta Air Lines' investments in world-class business capabilities and technology aimed at transforming how Delta Air Lines operates and provides world-class travel experiences to its customers through innovation and cutting-edge methodologies. By continuously reimagining processes and driving technology-led transformation, the Delta Technology Hub plays a pivotal role in Scripting The Future of Aviation.

The organization is certified by the Great Place to Work Institute (India).

The Delta Technology

Hub was a finalist for the iVolunteer Awards 2024/2025 in the "Leader in Employee Volunteering" category. This nomination highlights our remarkable volunteering initiatives and the outstanding practices we implement to encourage and support our employee volunteering program. For more information, please visit www.deltatechhub.com

Why join?

- Technology is a key enabler of the differentiated services that Delta provides. At the DTH, you get the opportunity to work on projects with a significant impact on business outcomes and customer experience.
- Deepen your knowledge by taking part in multifaceted learning and development programs –exposure to extensive internal and partner repositories, institutional affiliations, and industry SIG (Special Interest Groups) partnerships.
- Immerse yourself in an employee-centric culture.
- Develop deep and broad business acumen on airline operations while retaining focus on cutting-edge technology driven solutions.
- Avail a full range of benefits that support you and your family: Medical Insurance, Transportation to and from the DTH office, Complementary Cafeteria Meals, Special Travel opportunities and Travel Privileges, Car Lease Program, Paid time off, Parental Benefits and National Pension Scheme.

📌 Engineering Leader (Bengaluru)
🏢 Delta Technology Hub
📍 Bengaluru