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Jeffrey Fermon

Senior Software Engineer | Full-Stack · AI Systems · Healthcare Engineering

Talent
Scottsdale, AZMember since May 21, 2026
PythonC#GoSQLLangGraphMCPRAGpgvectorLangSmithRAGASAWS BedrockAI GovernanceReactNext.jsReduxGraphQLSpring BootFastAPIgRPCAWS EKSKubernetesTerraformKafkaKSQLDBPostgreSQLDynamoDBRedisMongoDBAWS KMSIAM
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PythonC#GoSQLLangGraph

About

Senior Software Engineer with 14 years shipping production systems at Amazon and Raytheon. Full-stack engineer specializing in agentic AI, healthcare compliance, and high-throughput data at scale. Builds across React and Next.js frontends, Spring Boot and FastAPI backends, PostgreSQL and DynamoDB data layers, and AWS infrastructure. Zero HIPAA findings. Trusted mentor and cross-team technical lead.

Experience

Senior Software Engineer - Amazon

(2020-06)

Amazon Pharmacy core engineering · 4M+ active patients · 4-engineer team · 3 downstream service owners

  • Built an agentic LLM adherence assistant with LangGraph, MCP, and AWS Bedrock; cut missed refills 25% and achieved 92% clinical appropriateness.
  • Reduced LLM token cost 40% via prompt optimization and response caching; patterns adopted across 3 Amazon Pharmacy teams.
  • Established LLM eval pipelines with LangSmith and RAGAS and prompt safety guardrails; standardized AI governance patterns now used across 3 Pharmacy teams.
  • Engineered the RxPass subscription backend with Spring Boot, FastAPI, and Kafka; REST and GraphQL APIs handle 10M+ daily transactions at p99 under 50ms.
  • Shipped React and Next.js UIs for prescription management and patient enrollment, serving millions of pharmacy customers via GraphQL and Redux.
  • Architected a Kafka and KSQLDB pipeline ingesting 2B events daily across Amazon Pharmacy's population health data lake; cut analytics latency to under 5 minutes.
  • Optimized PostgreSQL, DynamoDB, and Redis with composite indexing, PgBouncer pooling, and pgvector caching; dropped p99 from 200ms to 50ms under peak load.
  • Scaled pharmacy infra on AWS EKS with predictive autoscaling; sustained 99.9% uptime under 5x peak load for millions of concurrent patients.
  • Deployed GitOps CI/CD with GitHub Actions and ArgoCD; cut deployment failures 40% with zero-downtime blue-green rollouts.
  • Secured PHI with AWS KMS field-level encryption and IAM; achieved zero HIPAA, SOC 2, and FDA findings in the 2023 audit cycle.
  • Mentored 3 engineers on system design and observability; two received internal promotions.

Senior Software Engineer - Raytheon

(2012-01 - 2020-06)

Defense-contractor financial systems · DFARS/FAR regulated · 8-year tenure · 100+ external clients

  • Integrated C# microservices with SAP R/3 via REST and gRPC; automated 10,000+ daily transactions at 99.9% reliability.
  • Onboarded 100+ defense contractors via REST and GraphQL APIs secured with OAuth2 and JWT for real-time invoicing under DFARS/FAR compliance.
  • Designed event-driven architecture with Kafka and RabbitMQ; decoupled supplier onboarding, payment processing, and audit logging for independent scaling.
  • Wrote Python ETL pipelines with Kafka and MongoDB; cut manual reconciliation 50% and raised data accuracy 30%.
  • Created real-time financial dashboards in C# and WPF on live Kafka and Redis streams for executive cash-flow visibility across active contracts.
  • Migrated legacy financial systems to containerized microservices on AWS (EC2, S3, RDS) using Docker, Kubernetes, and Terraform under DFARS/FAR compliance.

Education

Master's Degree - Computer Engineering - University of Arizona (2015 - 2019)

Bachelor's Degree - Electrical Engineering - University of Arizona (2008 - 2011)

Skills

Senior Software EngineerFull-StackAI SystemsHealthcare Engineering

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