Full Stack Developer

Summary

Join MetroStar as a Full Stack Developer and design, develop, and maintain software for multiple AI-based support capabilities. You will develop front-end and back-end software prototypes, components, and tools, maintain existing codebases, and collaborate with various teams. Responsibilities include working with clients, developing roadmaps, optimizing software designs, and staying informed on the latest AI technologies. A Bachelor's degree and 5-7 years of experience or a Master's degree and 3 years of experience are required, along with an active Secret clearance and specific technical skills. MetroStar offers a generous benefits package, professional growth opportunities, and time for recharging.

Requirements

• Bachelor’s degree plus 5-7 years' of Full Stack Developer experience, or a Masters Degree plus 3 years of Full Stack Developer experience
• Active Secret clearance with the ability to obtain a TS/SCI
• Programming experience with Python, JavaScript, and at least one more programming language (Java is preferred)
• Experience with front end frameworks like React or Vue. Experience with backend runtimes and frameworks like Node.js, Spring, Spring Boot, Django, Flask, etc
• Experience with Agile software development methodologies and tools
• DevSecOps experience including the use of Continuous Integration / Continuous Delivery (CI/CD) Tooling (Git runners, code scanning tools)
• Experience with containerization and use of Kubernetes
• Familiarity with Object Relational Modeling persistence frameworks (e.g. SQLAlchemy), and with PostgreSQL
• Well versed in modern software architectures like micro-services as well as front-end frameworks
• Strong communications skills: you will be required to proactively engage fellow CDAO members both inside and outside of your team
• Ability to synthesize requirements underlying feature requests, recommend alternative technical and business approaches, and facilitate engineering efforts to meet aggressive timelines

Responsibilities

• Designs and develops software requirements for multiple Artificial Intelligence based support capabilities including the software architectures, APIs, frameworks, and libraries
• Develops front end and backend of software prototypes, components, and tooling that can be leveraged to speed prototyping process
• Maintains and guides the development of common libraries and tools used by multiple teams
• Maintains the existing code base of in-production applications, performing bug fixes, updates of code and component libraries to meet security and performance needs as required, and capability enhancements as planned in the sprint schedule
• Works closely with clients and requirements owners to build out product lines
• Develops plans, road maps, software design strategies. Analyze and decomposes activities and requirements to software designs that are allocated across systems components/sub-components
• Aids in formulating a strategy on how to achieve rapid prototyping of AI capabilities, including Generative AI
• Works with data scientists, UX designers, cognitive scientists, developers, and testers to compose cohesive and sound software designs that form the basis of scalable AI solutions
• Documents requirements and specifications and reviews documentation provided by other teams and vendors
• Optimizes software designs and architectures to deliver desired performance targets and devises tooling and methodologies to profile execution and capture performance metrics
• Stays informed on latest AI system and software architectures and trends from design patterns to DevSecOps and systems architecture patterns
• Captures, develops, and reports reference architectures and documenting compliance standards

Benefits

• Generous benefits package
• Professional growth
• Valuable time to recharge