Senior Software Development Engineer

How You’ll Help Us Keep Climbing (Overview & Key Responsibilities)

• Design, develop, and maintain scalable cloud-based applications using AWS services.
• Collaborate with cross-functional teams to define, design, and ship new features.
• 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)

• 4+ years of experience in software development, with a focus on cloud technologies.
• Proficiency in AWS services such as EC2, S3, Lambda, RDS, and CloudFormation.
• Strong programming skills in languages such as Python, Java, or Node.js.
• Experienced in deploying and managing applications using Red Hat OpenShift Service on AWS (ROSA), leveraging its robust platform for scalable and efficient cloud solutions.
• 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.
• Hands-on experience with AWS cloud services and building distributed systems.
• Experience integrating AI/ML capabilities into applications (e.g., personalization, NLP, recommendations).
• Familiarity with AWS AI/ML services such as Amazon SageMaker, Bedrock, and Agent Core.
• 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.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.
• Experience with system integrations, optimizing performance and data integrity
• Passion for driving continuous improvement.
• Proactive and able to quickly pick up new technologies.
• Strong technical and non-technical communication skills. Assures smooth flowing, timely transmission of critical information.
• Excellent judgment and problem-solving skills; individual should be able to resolve problems in a calm and quick manner and display a high degree of initiative and drive.

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)

• Bachelors Degree in Computer Science, Information Systems or related technical field is preferred.
• Experience working in an airline technology environment is preferred.
• Experience with any of the following Agile development processes: Acceptance Test Driven Development, Continuous Integration, Test Automation, Pair Programming
• Understanding of networking and security principles in cloud environments
• Familiarity with Model Context Protocol (MCP) for connecting AI models to external tools and data sources.

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 know…