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devsecops azure docker aws kubernetes📋 Description
- Provide SETA support to government leadership on AI platform architecture and sustainment.
- Advise on design and evaluation of AI/ML platforms across cloud/hybrid deployments.
- Support platform decisions involving Azure, AWS, containers, data pipelines, and model hosting.
- Assess platform readiness for AI workloads: compute, storage, networking, security, observability.
- Coordinate with program managers, engineers, mission stakeholders, and cybersecurity teams.
- Assist with transition from prototype to sustainable operational capability.
🎯 Requirements
- Min 12 yrs with Bachelors, 10 yrs with Masters in CS/Engineering/IS.
- Experience in AI/ML, data, cloud, or platform engineering for government/defense/enterprise.
- Familiarity with Microsoft and/or AWS platform ecosystems.
- Cloud architecture, containers, APIs, data services, IAM, and secure integration.
- Understanding AI apps depend on hosting, pipelines, storage, orchestration, and monitoring.
- Strong written and verbal communication skills.
🎁 Benefits
- Equal Opportunity and Affirmative Action Employer.
- Employee referral bonus program up to $3,500.
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