Senior Full Stack Developer

Responsibilities:

• Collaborate with data scientists and data engineers to operate machine learning and optimization models that deliver valuable insights to the business.
• Design and develop data APIs and delivery services supporting operational and analytical applications for internal business operations, customers, and partners.
• Take ownership of integrating model code, data pipelines, APIs, and user interfaces into production environments.
• Troubleshoot and resolve issues with production applications.
• Continuously integrate code into both on-premises and AWS cloud environments.
• Transform data science prototypes into "production-ready” software products.
• Ensure smooth data flow between databases and backend systems.
• Optimize solutions for performance and scalability.
• Adhere to  development standards, methodologies, and procedures.
• Ensure customer satisfaction by meeting business goals and project deliverables.
• Coordinate activities with internal and external technology service providers.
• Consult with internal teams and external vendors to ensure product integrity.
• Mentor and coach other developers on the team.

Minimum Qualifications:

• BS/MS in a technical or scientific field (preferred).
• 5-7 years of experience in designing, developing, integrating, and running business or data science applications.
• 1-2+ years of hands-on experience working with AWS services as a developer.
• Proficiency in developing Angular applications.
• Experience with Java, SQL, and building REST APIs.
• Hands-on experience with AWS managed services (e.g., Lambda, DynamoDB, SQS, EventBridge, Step Functions, Aurora, S3, API Gateway).
• Experience developing infrastructure-as-code using AWS tools (e.g., Cloud Development Kit, CloudFormation).
• Expertise in automating application deployment, continuous integration, and continuous delivery (e.g., Git, GitLab, Jenkins).
• Familiarity with Agile/Scrum methodologies.
• Experience with backlog management tools (e.g., VersionOne, JIRA).
• Strong problem-solving skills and ability to navigate complex technology integration challenges.

Preferred Qualifications:

• Experience with design patterns for machine learning and data science products.
• Familiarity with microservices architecture and its implementation.
• Experience with front-end module decoupling on AWS.
• Experience deploying and managing infrastructures using Docker, OpenShift, and AWS.
• Knowledge of data engineering and big data technologies.
• Experience with state management libraries like Redux, Flux, or NgRx.
• Proficiency in developing, testing, and deploying APIs using Python-based frameworks (e.g., Flask, FastAPI, GraphQL).
• Expertise in writing complex SQL queries (e.g., joins, subqueries) and working with both SQL and NoSQL databases (PostgreSQL, DynamoDB).
• Familiarity with AWS Machine Learning tools (e.g., SageMaker).
• Experience with data visualization frameworks like D3.js.
• Strong focus on business outcomes and understanding customer needs.
• Excellent teamwork and communication skills.

Additional Skills:

• Functional knowledge of the airline business or IT processes within the airline industry.
• High attention to detail and a safety-conscious mindset.