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Senior Software Engineer, Biometric Systems AWS

Location:
Seattle, WA
Posted:
August 12, 2026

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Resume:

Joseph Luke

Senior Software Engineer

564-***-**** • ******.****.*******@*******.*** • Seattle, WA L PROFESSIONAL EXPERIENCE

AMAZON

Senior Software Development Engineer Amazon One Jul 2019 - Present

● Led development of backend services for biometric identity and payment authorization, enabling secure palm-based enrollment, authentication, and real-time verification across distributed retail environments

● Built and evolved high-availability microservices for biometric authentication workflows using Java with Go and C++ components, exposing gRPC-based service interfaces and improving scalability and authentication performance under production workloads

● Engineered event-driven ingestion pipelines for enrollment and authentication events using Kafka and Kinesis, enabling reliable processing of high-volume device-generated and backend event streams

● Developed backend services integrating ML-based biometric inference outputs and device-side event streams, enabling real-time identity verification and improving end-to-end authentication throughput under peak load conditions

● Designed scalable data models for biometric metadata and authentication state using DynamoDB and S3, leveraging encrypted storage patterns and optimized access design, with DynamoDB supporting low-millisecond access for latency-sensitive authentication workflows.

● Implemented secure identity and payment authorization workflows using AWS IAM, KMS encryption, and token-based authentication mechanisms, strengthening fraud resistance and ensuring secure access control across services

● Integrated with ML inference systems and computer vision pipelines via Python-based services, enabling backend consumption of biometric matching results and improving verification stability across pilot and production environments

● Built production observability and monitoring systems using CloudWatch, X-Ray, structured logging, improving incident diagnosis and operational visibility across distributed services

● Collaborated cross-functionally with ML, hardware, and product teams to integrate backend services with device firmware, ML systems, and platform APIs, enabling end-to-end biometric authentication workflows Software Development Engineer Amazon Business Jul 2015 - Jul 2019

● Designed and built scalable backend services using Java and Python on AWS (ECS, DynamoDB, SQS/SNS), enabling enterprise healthcare organizations to manage institutional purchasing, approval workflows, and regulated procurement operations, improving procurement processing efficiency by 35% across 5+ enterprise clients

● Engineered multi-tenant REST-based microservices supporting secure customer-specific catalog access, enterprise purchasing workflows, and procurement approval systems across healthcare organizations

● Developed responsive procurement dashboards and purchasing workflows using React and JavaScript, improving usability for institutional buyers managing catalogs, approvals, and order tracking, increasing user task completion rate by 25%

● Built asynchronous order processing workflows using AWS SQS/SNS, enabling reliable handling of procurement transactions, notifications, and fulfillment coordination across distributed systems

● Implemented secure authorization and access-control systems using RBAC, IAM, and encrypted service communication, supporting regulated purchasing requirements and institutional buyer access policies

● Integrated backend services with vendor and supply-chain systems using REST APIs and internal service integrations, enabling inventory synchronization, order routing, and fulfillment tracking across suppliers, improving end-to-end order visibility by 45% SKILLS & TECHNOLOGIES

● Languages: Java, Go, C++, Python, JavaScript, TypeScript, Kotlin

● Frameworks: Coral, Java EE, Spring Boot, Flask/FastAPI, React/Next.js, Node.js

● Databases: DynamoDB, MySQL, PostgreSQL, Oracle, Redis

● Testing: JUnit, Mockito, Jest, Cypress, Test-Driven Development

● AI: LangChain, RAG, Large Language Models, Transformers, Prompt Engineering

● Architecture: Microservices, Event-Driven, Distributed Systems, API Design, System Security

● Cloud & DevOps: AWS, Azure, Docker/Kubernetes, Jenkins, Terraform, Prometheus/Grafana

● Others: REST APIs, GraphQL, gRPC, WebSockets, Kafka, Maven, Gradle, Git, OAuth2, API versioning EDUCATION

Virginia Tech

Master’s Degree, Computer Science 2013 - 2015

Virginia Tech

Bachelor’s Degree, Computer Science 2009 - 2013



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