Related skills
sre full-stack kubernetes apis mlops📋 Description
- Own production outcomes for AI use cases in government.
- Oversee full-stack health from APIs to UI for production readiness.
- Scale the feedback loop with automated model monitoring and data drift.
- Navigate global compliance within diverse regulatory frameworks.
- Incident command: lead production issue responses in mission-critical envs.
- Bridge the gap: translate tech metrics into insights for officials.
- Drive product evolution with ML/Engineering collaboration on architecture.
🎯 Requirements
- 6+ years in SRE, FDE, or MLOps (gov sector a plus).
- Global perspective: familiarity with international government security standards.
- System architecture proficiency: production-grade apps and full lifecycle.
- Modern AI Stack expertise: Kubernetes, vector databases, agentic development, LLM observability tools.
- Ownership mindset: treat every production deployment as your own.
- Reliability focus: understand risks to safety or privacy in gov apps.
- Customer communication: explain performance to senior officials.
🎁 Benefits
- Inclusive, equal-opportunity workplace
- Reasonable accommodations for applicants with disabilities
- Privacy and data protection information available
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