DevOps / AgentOps Engineer

Overview This is a hybrid infrastructure and AI operations role — part traditional DevOps, part emerging AgentOps discipline. The DevOps/AgentOps Engineer owns the CI/CD pipelines, infrastructure-as-code, observability stack, and deployment automation for both the application platform and the AI agent layer. They work shoulder-to-shoulder with the Full-Stack and Backend engineers, guide and learn from KMS's build process, and own the shared services infrastructure on the Revelation Pharma side. This is a high-autonomy role for someone who wants to define how a modern health-AI platform is built, deployed, and monitored from day one. Job Activities and Responsibilities : The responsibilities listed below are subject to change. Design, build, and maintain CI/CD pipelines for application code, FHIR data layer, and AI agent deployments across dev/staging/production environments Own infrastructure-as-code (Terraform or AWS CDK) for all AWS services including HealthLake, Bedrock, Clean Rooms, Lambda, Step Functions, S3, and IAM Build and operate the observability stack — logging, metrics, tracing, and alerting — with particular attention to agent execution observability (token usage, latency, state transitions, error rates) Implement and maintain HIPAA-compliant infrastructure patterns: encryption at rest and in transit, key rotation, audit log pipelines, BAA-covered service configurations Work directly alongside KMS engineers during the build phase — reviewing their IaC, ensuring deployment standards are met, and absorbing system knowledge for long-term internal ownership Manage shared services infrastructure on the Revelation Pharma side, including cross-environment networking, secrets management, and service mesh configuration Automate agent deployment, versioning, rollback, and A/B testing workflows for Bedrock-based agents Establish and enforce environment parity, secrets hygiene, and least-privilege IAM policies across all workstreams Required Technical Skills (Staff-Level Depth Expected) AWS Infrastructure (Expert): Deep hands-on experience with IAM policy design, VPC networking, KMS encryption, CloudWatch/CloudTrail, and at least 3 of: HealthLake, Bedrock, Lambda, Step Functions, ECS/Fargate, S3, Clean Rooms. Must be comfortable designing multi-account AWS architectures with security boundaries. Infrastructure-as-Code (Expert): Production experience with Terraform or AWS CDK. Must have built and maintained IaC for regulated environments — drift detection, state management, module composition, and policy-as-code (OPA/Sentinel or equivalent). CI/CD & Deployment (Expert): End-to-end pipeline design (GitHub Actions, CodePipeline, or equivalent). Blue/green and canary deployment patterns. Container orchestration (ECS Fargate preferred). Artifact management and promotion workflows across environments. Observability & Monitoring (Strong): Production experience building observability stacks — structured logging (CloudWatch Logs Insights or ELK), distributed tracing (X-Ray or OpenTelemetry), custom metrics and dashboards, PagerDuty/Opsgenie integration. Must understand healthcare-specific audit logging requirements. Security & Compliance (Strong): HIPAA technical safeguard implementation experience. Encryption key management (KMS), secrets management (Secrets Manager/SSM Parameter Store), network segmentation, and WAF/Shield configuration. Familiarity with HITRUST or SOC 2 control frameworks is a plus. Agent/AI Operations (Developing to Strong): Experience deploying and monitoring LLM-based systems in production. Understanding of prompt versioning, model endpoint management, token budget monitoring, and inference cost optimization. Experience with Bedrock specifically is preferred but not required — equivalent experience with other LLM deployment platforms (Azure OpenAI, Vertex AI, SageMaker) is acceptable. Required Experience 5+ years in DevOps, SRE, or platform engineering roles with at least 2 years at a staff or senior level Production infrastructure experience in healthcare, fintech, or another regulated industry with formal compliance requirements Experience working in blended team models (internal + outsourced) — must be comfortable establishing standards that external teams follow Demonstrated ability to work autonomously in early-stage environments where you are defining process, not inheriting it Preferred Qualifications AWS certifications (Solutions Architect Professional, DevOps Engineer Professional, or Security Specialty) Experience with FHIR server infrastructure (HealthLake, HAPI FHIR, or Smile CDR) Familiarity with Bedrock AgentCore, agent orchestration patterns, or multi-agent system deployment Experience with cost optimization for AI/ML workloads (inference endpoint sizing, spot instances, reserved capacity) Physical Requirements: Proficient in using a computer and related equipment, including printers and fax machines. Ability to sit or stand for extended periods. Effective communication skills via telephone and email. Capable of lifting up to 40 pounds as needed. Benefits: Health care insurance (medical, dental, vision) Life Insurance Supplemental Insurance  PTO 401K matching Sick leave Phone/internet reimbursement Remote work Top of the line machines