Job-Specific Essential Duties and Responsibilities:
- Performs MLOPs and DevSecOps engineering operations to include Mission-Driven Design, Static Code Analysis, CI/CD Automation, Security Scanning, Model Scanning, Audit & Compliance, Secure and Post Deployment and Artifact Assurance.
- Builds and manages the underlying infrastructure, platforms, and tooling that support application, data, and AI workloads.
- Designs resilient, scalable, and secure environments that optimize resource utilization and performance.
- Streamlines developer workflows by implementing automation, integration pipelines, and platform services that accelerate delivery and maintain operational reliability.
- Identify, prepare, track, secure, and integrate government, commercial and open-source tools and services into the CDAO System.
- Build and foster relationships with industry and academia.
- Analyze and review the latest advances in commercial/open-source data, analytic, and AI technologies.
- Prepare, and integrate commercial and open-source tools into the CDAO System within a timely manner.
- Assist vendor engineers in preparing and integrating tools to meet Industry, DoW, and CDAO standards.
- Integrate government, commercial, and open-source software, data, and AI tools.
Job-Specific Minimum Requirements:
- Must either have a Bachelor degree or higher from an accredited college or university OR Valid certification of DoD 8140 (CASP+ or CCNP Security or CCSP).
- Must have an active Top Secret clearance and ability to obtain SCI and CI Poly.
- 7+ years of experience as an application developer.
- Demonstrated experience with:
- Architecting and designing software using MBSE approaches (Requirements specification, User Behavior models, Component Design, and requirements traceability)
- Building and/or integrating Custom or COTS software products through MLOPS and DevSecOps automated tools within a cloud-based environment
- Installing, configuring, and managing Data and/or AI related COTS enterprise SW platforms in support of capability builders who develop Data, AI, and SW capabilities
- Engineering and operating data and AI platform tools (for example: DataBricks, Plantir, Collibra, Tableau) and performing at least 5 out of the following functions: Mission-Driven Design, Static Code Analysis, CI/CD Automation, Security Scanning, Model Scanning, Artifact Assurance, Secure and Post Deployment and Audit and Compliance.
- Experience with Agile software development methodologies and working in a dynamic MLOPS/DevSecOps team.
- Strong problem-solving, troubleshooting, and analytical skills. • Proficiency utilizing Atlassian and open source tools such JIRA, Jenkins, Github and SonarCube.
Preferred Skills and Qualifications:
- Experience successfully developing, configuring, and / or managing capabilities within the CDAO ecosystem to meet Government requirements and mission needs.
- Experience performing all of the following functions: Mission-Driven Design, Static Code Analysis, CI/CD Automation, Security Scanning, Model Scanning, Artifact Assurance, Secure and Post Deployment and Audit and Compliance.
- Experience with configuring and managing GitHub, Atlassian DevSecOps tools and automated CI/CD scripting.
- Hands on experience with Databricks or related Data & AI Engineering and Operation platforms.
- Understanding of end-to-end decision-making capabilities that are developed through Data & AI COTS SW platforms such as Databricks, Anthropic, Palantir, etc…
- Proficiency utilizing Cameo to build architecture and design MBSE-based artifacts and products.
- Degree from an accredited Computer Science, Cyber Security, Information Technology, Software Engineering, Information Systems or Computer Engineering degree or a degree in a Mathematics or Engineering field.
- Active TS/SCI with CI Poly.
#techjobs #clearance #veteransPage