DevSecOps Engineer - Veterans Affair
About The Position
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.
Requirements
- Experience with Azure or AWS services
- Experience with Serverless frameworks
- Experience with Kubernetes and containerization approaches
- Experience with microservice design patterns
- Experience with infrastructure-as-code solutions
- Experience with Agile lifecycle
- Experience with DevSecOps best practices
- Experience with Site Reliability Engineering practices
- Experience with automation techniques to provision cloud environments
- Experience with AI and ML techniques
- Experience with LangChain and LangGraph or similar tools
- Experience with MLOps
- Experience with enterprise standards and best practices around coding, application design, automated testing, and microservices design
Nice To Haves
- Experience with AI/ML technologies
Responsibilities
- Develops and configures software and CI/CD pipelines
- Build platforms and automated delivery pipelines using Azure or AWS services, Serverless frameworks, Kubernetes, containerization, and microservice design patterns
- Create and design infrastructure-as-code solutions
- Collaborate with customers and team members in an Agile lifecycle
- Follow DevSecOps best practices for security integration, infrastructure as code, operational visibility, and Site Reliability Engineering
- Harden and ensure the security and accreditation of a multitenant development platform
- Use automation techniques to provision cloud environments
- Develop service integrations and data pipelines
- Define and establish DevSecOps practices for the AI Development Framework
- Use AI and ML techniques to support creating system functionality
- Use LangChain and LangGraph or similar tools
- Support development environments to use AI/ML technologies in support of MLOps
- Leverage AI models to improve outcomes and results of the system
- Work with Product Owners, Solution Architects and customers to analyze, design, and develop a modern application
- 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 systems and processes
- Learn and adopt new technologies quickly and independently
- Assist teammates with implementation and knowledge sharing
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
