Develops and configures software and CI/CD pipelines to support pilot development, service integration, and establishes DevSecOps practices to be used by the AI Development Framework.
Build platforms and automated delivery pipelines using a combination of Azure or AWS services, Serverless frameworks, Kubernetes and containerization approaches, and microservice design patterns.
Create and design infrastructure-as-code solutions to promote services through development, test, and production environments.
Collaborate with customers and team members as part of an Agile lifecycle to gather, understand, and refine platform and application requirements.
Follow DevSecOps best practices for full security integration, infrastructure as code, operational visibility, and Site Reliability Engineering practices.
Harden and ensure the security and accreditation of a multitenant development platform.
Uses automation techniques to provision cloud environments
Develop service integrations and data pipelines to feed data models
Defines and establishes DevSecOps practices to be used by the AI Development Framework.
Use AI and ML techniques to support creating system functionality. Use of LangChain and LangGraph or similar tools.
Supports development environments to use AI/ML technologies in support of MLOps
Leverage AI models to improve outcomes and results of system
Work with Product Owners, Solution Architects and customers to analyze, design, and develop a modern application supporting the mission.
Support a full system development agile lifecycle
Understand and use enterprise standards and best practices around coding, application design, automated testing, and microservices design.
Translate business requirements and context into sound and efficient solutions.
Support documentation of the systems and processes as needed
Learn and adopt new technologies quickly and independently and assist teammates with implementation and knowledge sharing.