Senior Full Stack Developer
Horizontal Talent

Our client is seeking a dynamic and innovative Senior Full Stack Developer to join their team. This role is ideal for a professional who can bring modern machine learning and optimization models into production, working as part of a highly multi-disciplinary team of data scientists, software development engineers, strategic partners, product managers, and subject domain experts.

As a Senior Full Stack Developer, your responsibilities will include:
- Partnering with Data Scientists and Data Engineers to operationalize machine learning and optimization models that deliver new insights to the business
- Building data APIs and data delivery services that support critical operational and analytical applications
- Ensuring that model code, data pipelines, APIs, and user interfaces are developed and deployed successfully into production
- Troubleshooting issues that arise and supporting production applications
- Continuously integrating code into our client's on-premise and AWS cloud environments
- Transforming data science prototypes into production-ready software products
- Ensuring a good data flow between database and backend systems
- Optimizing solutions for performance and scalability
- Ensuring that the client's methodology, standards, and procedures are implemented
- Coaching and mentoring other developers on the team

To succeed in this role, you will need:
- A BS/MS degree, preferably in a technical or scientific field
- 5-7 years of hands-on experience designing, developing, integrating, and running business, big data and/or data science applications
- 1-2+ years of hands-on experience working with AWS as a developer
- Experience developing Angular applications and with Java, SQL, and building REST APIs
- Experience working with AWS services such as Lambda, DynamoDB, SQS, EventBridge, Step Functions, Aurora, S3, and API gateway
- Experience developing infrastructure-as-code using AWS tools
- Experience with automating application deployment, continuous delivery, and continuous integration
- Experience using Agile/Scrum methodologies and with backlog management tools
- Strong problem-solving skills and capability to understand and set direction for complex technology integration

Preferred qualifications include:
- Experience with design patterns and implementation for machine learning and data science products
- Experience with design patterns and implementation using microservices architecture
- Understanding or experience with loose coupling of front-end modules on AWS
- Experience with deploying and managing infrastructures based on Docker, OpenShift, and AWS
- Knowledge of data engineering and experience with big data
- Experience with Redux / Flux / NgRx store implementation
- Experience developing, testing and deploying APIs using Python-based frameworks
- Experience writing complex SQL queries and experience with both SQL and NoSQL databases
- Experience working with AWS Machine Learning tools
- Experience with data visualization frameworks such as D3
- Understanding and focus on business outcomes
- Strong teamwork skills

Our client values a safety-conscious environment resulting in employee safety and well-being. If you have a keen eye for detail and functional knowledge of the airline business or airline IT processes, we encourage you to apply.