Cloud/MLOps Engineer — Secure Analytics Platforms

Overview: TISTA is seeking a Cloud/MLOps Engineer to manage CI/CD pipelines for analytics and ML products, oversee secure cloud deployments and containerized services, and ensure operational monitoring, reliability, access controls, and compliance with VA cybersecurity and ATO requirements. (Role context derived from VBA. Future Opportunity: This posting is for future consideration and is not an active hiring effort. By joining our talent pool, you’ll receive updates and early notification when openings become available. Responsibilities: • Own CI/CD for data & ML products design, build, and maintain pipelines that automate data ingestion, feature processing, model packaging, testing, and deployment across environments. • Oversee cloud deployments & containerization manage infrastructure (e.g., AWS/Azure), Kubernetes clusters, service mesh, secrets, and access controls suitable for federal programs. • Monitor & assure reliability implement observability for data/ML services (logs, metrics, traces), capacity and performance tuning, model‑drift alerts, and incident response playbooks. • Compliance & ATO support partner with security to align controls, documentation, and automation with VA cybersecurity and ATO standards; integrate governance into pipelines. • Collaborate across teams work with data scientists, engineers, and SMEs to translate models and analytics into resilient, scalable production services guided by federal AI competencies. Qualifications: • Minimum 4–7 years building and operating cloud platforms with CI/CD for data and ML workloads; hands‑on with containerization, orchestration, and infrastructure as code. • Experience supporting secure deployments in AWS GovCloud or Azure Government, including identity/access, encryption, key management, and audit logging. • Proven track record implementing observability (metrics/logs/traces), reliability practices (SLOs, autoscaling, rollback), and model lifecycle controls. • Preferred familiarity with federal ATO processes and payment‑integrity analytics; working knowledge of OPM AI competencies and ethical AI practices for government. Education: • Bachelor’s degree in Computer Science, Data/Software Engineering, Information Systems, or related field. • Preferred Master’s in Cloud/Distributed Systems, Machine Learning, or Applied Data Engineering. • Plus Cloud certifications (AWS/Azure/GCP), Kubernetes (CKA/CKAD), or security (Security+, CISSP). Clearance: • The ability to pass a Tier 2/Modest Background Investigation. Location: • Remote: USA. Apply tot his job