How You'll Help Us Keep Climbing (Overview & Key Responsibilities) Design, develop, and deliver scalable, secure, and high-performance applications using modern programming languages and frameworks (Java, Spring Boot, React, etc.). Lead development of microservices, REST APIs, and cloud-native solutions aligned with enterprise architecture patterns. Own end-to-end delivery including design, coding, testing, deployment, and production support.

Provide technical leadership by reviewing code, mentoring developers, and driving best practices in coding, performance, and security. Design and implement AI-enabled application capabilities leveraging enterprise-approved AI platforms, LLMs, and intelligent automation frameworks.

Lead the development of AI-powered features such as conversational interfaces, intelligent search, recommendation systems, workflow automation, and knowledge-driven applications.

Collaborate closely with product managers, business teams, architects, data engineers, and AI practitioners to define and deliver business-focused AI solutions.

Collaborate closely with product managers, business teams, and cross-functional engineering teams to deliver high-quality solutions.

Ensure adherence to coding standards, responsible AI principals, security frameworks, and compliance requirements (Sonar, Veracode, etc.).

Familiarity with AWS AI/ML services such as Amazon SageMaker, Bedrock, and AgentCore.

Demonstrated experience using AI-assisted development tools (e.g., GitHub Copilot, Claude, Kiro) to accomplish tasks such as generating and reviewing code, writing and maintaining tests, creating documentation, and debugging, with the judgment to validate and own AI-generated output.

Understanding prompt engineering, AI workflows, or model integration patterns.

Experience working with generative AI or LLM-based solutions is highly desirable.

Knowledge of AI Agent architectures, intelligent workflow automation, and modern AI application patterns.

Understanding of ontology, semantic models, metadata-driven architectures, knowledge graphs, and enterprise knowledge management concepts.

Understanding AI evaluation techniques, prompt engineering, model selection, and AI application observability.

Knowledge of Responsible AI principles include fairness, transparency, explainability, privacy, accountability, and compliance

Monitor, troubleshoot, and optimize applications using observability tools (CloudWatch, Dynatrace, Sumo Logic).

Participate in production support, incident management, RCA, and on-call rotations with ownership mindset.

Contribute to architecture discussions and influence technical decisions with scalable and reusable solutions.

What You Need To

Succeed (Minimum Qualifications) 4–7 years of hands-on experience in software development with strong expertise in Java (preferably Java 21), microservices, and REST APIs.

Experience with frameworks such as Spring Boot, Quarkus, and Hibernate, and understanding backend/frontend technologies. Strong knowledge of cloud-native development on AWS (Lambda, EC2, S3, Kubernetes, Docker, etc.).

Understanding of Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), embeddings, vector databases,



and AI orchestration concepts.

Experience integrating enterprise AI services and AI APIs into business applications. Knowledge of AI Agent architectures, intelligent workflow automation, and modern AI application patterns. Understanding of ontology, semantic models, metadata-driven architectures, knowledge graphs, and enterprise knowledge management concepts.

Understanding AI evaluation techniques, prompt engineering, model selection, and AI application observability. Knowledge of Responsible AI principles include fairness, transparency, explainability, privacy, accountability, and compliance.

Experience designing and implementing microservices architectures and serverless solutions. Proficiency in CI/CD, DevOps practices, and tools (GitLab CI, Maven/Gradle, Nexus, SonarQube, Veracode). Strong expertise in relational (Postgres, MySQL, Aurora) and NoSQL databases (DynamoDB, MongoDB, Redis) including query optimization. Solid understanding of authentication/authorization mechanisms (OAuth2.0, OpenID Connect, IAM).

Experience in monitoring, debugging, and troubleshooting production systems. Strong commitment to code quality, test automation (JUnit/PyTest), and secure coding practices.

Understanding of AI security risks including prompt injection, jailbreak attacks, adversarial inputs, model abuse, sensitive data exposure, and AI governance controls.

Ability to implement AI guardrails, monitoring, auditability, and secure AI application development practices.

Proven ability to mentor developers, perform code reviews, and drive engineering excellence. Hands-on experience with Agile methodologies and end-to-end software development lifecycle. Excellent problem-solving skills, strong ownership mindset, and ability to work in a fast-paced environment.

Embraces diverse people, thinking and styles.

Consistently makes safety and security, of self and others, the priority.

Behavioral Competencies: Ability to produce high quality results, work in a collaborative environment by embracing diverse perspectives and with a solution-based approach. Adapt communication clearly and concisely based on team dynamics and expresses thoughts & ideas effectively. Ability to engage effectively with peers and stakeholders to build trust and reliable working relationships.

Ability to understand business processes, implement innovative solutions, guide juniors on continuous improvement by constantly updating oneself on current technology & trends. Inquisitive to understand customer and business expectations while creating value addition on technical solutions.

What Will Give

You a Competitive Edge (Preferred Qualifications) Bachelor’s degree in computer science, Information Systems or related technical field is preferred.

Experience in AWS Cloud Platform is required and good understanding of AI/ML.





Experience working in an airline technology environment is an added advantage.

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 advantages 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.

📌 Senior Software Development Engineer-AI (Bengaluru)
🏢 Delta Technology Hub
📍 Bengaluru