Software Development Engineer

How You’ll Help Us Keep Climbing (Overview & Key Responsibilities) We are seeking a highly skilled and visionary Developer to join our Crew IT team in DTH Bangalore. This role will lead cross-domain development coordination efforts in building AI enabled technological solutions. The ideal candidate will bring deep technical expertise, a passion for AI-driven innovation, and hands-on experience in building Agentic AI-based solutions aligned with Model Context Protocol (MCP) and enterprise standards.

This is a strategic and hands-on role that will help increase operational data visibility, optimize architectural decisions, and drive the development of scalable, intelligent IT solutions.

To be clear on scope: this remains fundamentally a hands-on software development role — roughly 70% core engineering (design, coding, testing, and shipping production features) and 30% applied AI, using AI-assisted tools and building agentic capabilities on top of -Act as a technical liaison between business stakeholders, IT teams, and external partners.

Responsibilities

• Cross-Domain Development Leadership
• Coordinate development efforts across multiple internal IT domains and external airline partners.
• Ensure seamless integration and interaction between Delta’s systems and partner airline IT platforms.
• Act as a technical liaison between business stakeholders, IT teams, and external partners
• AI Innovation-Based Solution Development
• Demonstrated experience using AI-assisted development tools and vibe coding environments (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.
• Envision, prototype, and build Agentic AI-based solutions to enhance operational data visibility.
• Lead proof-of-concept initiatives and evolve them into production-ready applications.
• Stay abreast of emerging AI technologies and apply them to solve complex business challenges.
• Cloud & Architecture Innovation
• Design and develop cloud-native solutions using AWS , ensuring compliance with Model Context Protocol (MCP).
• Leverage AWS Developer CLI for efficient deployment and automation of cloud-native applications.
• Contribute to the design and evolution of IT architecture within Delta’s IT domains.
• Implement responsible AI principles and enterprise governance for ethical AI deployment.

What You Need To Succeed (Minimum Qualifications)

• Bachelor’s or master’s degree in computer science, Engineering, or related field.
• 2-4 years of experience in software development.
• Strong hands-on programming experience in Java; candidates whose primary experience is in Python are welcome, provided they are willing and able to work in Java as well.
• Proven experience with AI-assisted coding tools (GitHub Copilot, Code Whisperer, KIRO, Claude Code, Cursor) and vibe coding environments.
• Strong expertise in AWS and cloud-native solution development.
• Strong understanding of system integration, APIs, microservices, and cloud-native architectures.
• Experience working in cross-functional, multi-stakeholder environments.
• Excellent communication, leadership, and problem-solving skills.
• Experience with airline operations or travel industry systems is a plus.

Behavioral Competencies

• Ability to work in collaborative environments and embrace diverse perspectives.
• Communicate clearly and concisely, express thoughts and ideas effectively, and embrace cultural differences with respect when engaging with others.
• Ability to engage effectively with peers and stakeholders to build strong partnerships.
• Prioritize, maintain focus, and consistently deliver commitment.
• Proactively understand customer expectations and willingness to create customer-based solutions.

What Will Give You a Competitive Edge (Preferred Qualifications)

• Hands-on experience building and deploying Agentic AI solutions or intelligent agents (around 1 year) — a strong plus alongside the core AI-assisted development experience above, though not required to be considered.
• Hands-on experience with AI/ML frameworks (e.g., Lang Chain, OpenAI, Hugging Face).
• Knowledge of prompt engineering, fine-tuning LLMs, and agentic AI orchestration.
• Exposure to data engineering, real-time data processing, and vector databases.
• Agile development methodologies and DevOps practices.
• Expe…