Sr Technical Lead (Java, AWS)

Description

Job overview and responsibilities

The Senior Technical Lead - IT will drive the development of our AWS-based cloud platform while leading a team of developers. This is done in partnership with leadership to align platform roadmap with product and organizational goals and perform the role as the technical expert. They will be responsible for leading the Cloud Platform Development efforts across IaC libraries (AWS CDK), CI/CD Pipelines (GitHub Action), and Internal developer Portal (Backstage). This will involve evaluating and integrating new AWS services and tools to continuously improve platform capabilities. They will also set coding and architecture standards for platform components, ensure consistency, security, and maintainability. In close collaboration with the application team, they will work to define and implement scalable, secure, and reusable cloud architecture patterns. The ideal candidate brings a strong background in software development, deep expertise in AWS cloud technologies, and proven leadership in technical delivery.

Qualifications

What's needed to succeed (Minimum Qualifications):

• Bachelor's degree
• Computer Science or related field preferred
• 3+ years of software development experience
• Strong hands-on development experience with Java, Spring Boot and AWS
• Hands-on experience with AWS services, including EKS, ECS, Kubernetes, Route 53, Redis Cache, IAM Roles, S3, DynamoDB, SQS/SNS
• Experience building event-driven and asynchronous systems
• Experience in implementing microservices and distributed systems
• Deep Knowledge of AWS architecture and Infrastructure as a Code using AWS CDK (or similar tools)
• Technical Leadership Abilities - Ability to balance hands-on development with strategic planning and technical leadership
• Must be legally authorized to work in the United States for any employer without sponsorship

What will help you propel from the pack (Preferred Qualifications):

• Airlines industry background
• People leadership experience
• Demonstrates an understanding of the capabilities and limitations of generative AI tools and effectively leverages them for research, analysis, content creation, and problem-solving. Applies critical thinking to validate AI-generated outputs while adhering to company policies related to responsible AI use, data privacy, and security.