Lead Software Development Engineer

How You’ll Help Us Keep Climbing (Overview & Key Responsibilities) Role Summary As a Lead software development engineer, you will join a team of highly adaptable engineers responsible for rapidly learning new business domains, understanding complex technology ecosystems, and delivering high-priority business outcomes. Engineers in this organization are expected to engage across multiple domains, become productive quickly, execute prioritized initiatives, and transition seamlessly to new opportunities as business priorities evolve.

Success in this role requires strong technical depth, systems thinking, business curiosity, and the ability to navigate complex enterprise environments with numerous upstream and downstream dependencies. Candidates must be comfortable working across modern cloud-native platforms, enterprise integrations, legacy systems, APIs, and emerging AI-enabled solutions.

Role Responsibilities

• Design, develop, and maintain scalable cloud-based applications using AWS services.
• Establish trusted partnerships with domain engineering teams and deliver solutions that align with existing engineering standards, delivery processes, and operational models.
• Drive a consistent experience between Delta only and mixed metal itineraries through understanding the end-to-end ecosystem and nuances of Alliances partner travel.
• Forge a new way of working through building trust, collaboration and quality of development that seamlessly integrates with other pipeline deliverables.
• Build a deep and broad understanding of interdependencies between internal & external systems to architect efficient and scalable solutions. Must be able to conduct root cause analysis to generate creative solutions enabling velocity of delivery.
• Implement best practices for cloud architecture, security, and performance.
• Automate deployment, monitoring, and management of cloud applications.
• Write clean, efficient, and maintainable code and contribute to both front-end and back-end development as a full-stack engineer.
• Build and integrate AI/ML-powered features and agents into applications using AWS AI services.
• Apply AI-assisted development tools to accelerate software delivery, automate repetitive tasks, and improve code quality.
• Troubleshoot and resolve issues related to cloud infrastructure and applications.
• Mentor and guide junior engineers, fostering a culture of continuous improvement.
• Stay up to date with the latest AWS technologies and industry trends.

What You Need To Succeed (Minimum Qualifications)

• Bachelor’s degree in computer science, Information Systems or related technical field is preferred
• 7- 12years of experience in software development with Java 11+/J2EE in Spring boot backend and Python.
• Angular in front end, with a focus on cloud technologies.
• Bachelor’s degree in computer science, Information Systems or related technical field is preferred.
• Proficiency in AWS services such as S3, Lambda, RDS, and CloudFormation.
• Experience with containerization technologies like Docker and Kubernetes.
• Familiarity with DevOps practices and tools.
• Knowledge of CI/CD pipelines and tools like Jenkins, GitLab, or AWS Code Pipeline.
• Proficiency in AWS AI/ML services such as Amazon SageMaker, Bedrock, and Agent Core.
• Hands-on experience with AWS cloud services and building distributed systems.
• Experience integrating AI/ML capabilities into applications (e.g., personalization, NLP, recommendations).
• 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 of prompt engineering, AI workflows, or model integration patterns.
• Experience working with generative AI or LLM-based solutions is highly desirable.
• Rapidly learn new business domains, alliance partner ecosystems, and integrated travel experiences to support evolving business priorities.
• Analyze system dependencies, data flows, APIs, and integration patterns to identify risks, bottlenecks, and opportunities that accelerate delivery.
• Collaborate across application, architecture, and business teams to drive cross-functional solutions, ensure operational readiness, and maintain delivery momentum across initiatives.

Behavioral Competencies

• Lead initiatives with hig…