Senior Full-Stack Platform Engineer (AWS)

DENNIS HUGHES

SENIOR SOFTWARE ENGINEER (BACKEND / PLATFORM)

Kingwood, TX ***********@*****.*** 408-***-**** https://linkedin.com/in/dennis-hughes-675b30139/ SUMMARY

Senior Software Engineer with 10+ years building mission-critical, high-volume SaaS applications across healthcare technology (medical devices, patient data), incident management, and multi-tenant AI platforms. Expertise in full-stack development with C#, .NET Core, Java, Python, and modern SPA frameworks, deployed on AWS with microservices, containerization, and event-driven architectures. Proven track record in Agile environments developing scalable, HIPAA- compliant backend systems, desktop/mobile SDKs, and reliable data pipelines for patient-critical applications. SKILLS

Languages & Frameworks: C#, .NET Core/.NET Framework, Java, Python, TypeScript/JavaScript, SQL, WPF, Swift, Kotlin

Cloud & DevOps: AWS (Lambda, SQS, DynamoDB, IAM, CloudWatch, ECS), Containerization (Docker), Microservices, Serverless Computing, Event-Driven Programming, CI/CD Pipelines, Infrastructure as Code (IaC), Service Monitoring & Observability

Data & Storage: Relational Databases (PostgreSQL, MySQL), NoSQL (DynamoDB), Data Modeling, Big Data Applications, High-Volume Data Pipelines, Queue Processing (SQS) Architecture & Quality: SaaS Architecture, Desktop/Mobile SDK Development, REST APIs, Integration & Contract Testing, Unit Testing (TDD), Automated UI/API Testing, System Design & Scalability, FDA Quality Controls / HIPAA Compliance

Frontend & UX: Modern SPA Frameworks, HTML/CSS, API Integration, Cross-Platform/Cross-Browser Testing Process & Collaboration: Agile/Scrum Development, Technical Documentation, Code Reviews, Mentoring Junior Engineers, Cross-Functional Collaboration (Product, UX, QA), Production Support & Incident Response PROFESSIONAL EXPERIENCE

Writer — Remote

Senior Software Engineer July 2023 – Present

• Architected and developed scalable, multi-tenant SaaS backend services in Python and C# for AI-powered healthcare workflow automation, handling high-volume data processing for patient data enrichment and clinical decision support.

• Led migration of critical runtime services to AWS serverless architecture (Lambda, DynamoDB, SQS), implementing event-driven microservices that improved system throughput by 40% while reducing operational costs through automated scaling.

• Designed and implemented HIPAA-compliant data pipelines with audit logging, encryption at rest, and strict access controls (IAM/RBAC), ensuring patient data privacy and meeting regulatory requirements for healthcare applications.

• Built developer-facing SDKs and REST APIs in C# and TypeScript for third-party integration with hospital EHR systems, including comprehensive contract testing and documentation to support external development teams.

• Established observability and monitoring foundation using CloudWatch and Datadog, creating dashboards for system health, API latency, and error rates, enabling proactive incident detection and reducing MTTR by 35%.

• Implemented containerized deployment (Docker) and CI/CD pipelines with automated testing gates, enabling reliable multi-environment releases and reducing deployment-related incidents by 60%.

• Developed reliable, fault-tolerant queue processing systems using SQS with exponential backoff and dead- letter queues, ensuring zero data loss during downstream service outages for critical patient data workflows.

• Collaborated with product, UX, and QA teams in Agile ceremonies to design and deliver features supporting clinical workflow automation, providing technical guidance on scalability, security, and maintainability trade-offs. Thoughtworks — Remote

Senior Consultant Developer July 2021 – June 2023 Thoughtworks — Remote

Consultant Developer July 2019 – June 2021

• Led full-stack modernization for healthcare client transitioning legacy C# WPF desktop applications to cloud- native SaaS platform, designing microservices architecture and REST APIs that improved system scalability and deployment flexibility.

• Architected AWS-based deployment pipeline using Infrastructure as Code (Terraform) for multi-region healthcare application hosting, implementing containerization strategy that reduced environment provisioning time from days to hours.

• Developed cross-platform mobile SDKs in Swift and Kotlin for patient monitoring applications, ensuring consistent API contracts and comprehensive automated testing across iOS and Android platforms.

• Implemented event-driven data synchronization layer between SQL Server databases and AWS DynamoDB, enabling real-time analytics dashboards for hospital administrators while maintaining data consistency.

• Designed and built scalable .NET Core API services processing high-volume medical device telemetry, implementing caching strategies and connection pooling that improved throughput by 50% during peak loads.

• Established comprehensive testing strategy including unit tests, integration tests, and automated API tests, achieving 85% code coverage and reducing production defects by 45% across client engagements.

• Mentored junior engineers on Agile development practices, code review standards, and production debugging techniques, improving team velocity and quality of deliverables across multiple healthcare projects.

• Created technical documentation and knowledge transfer materials for client engineering teams, ensuring smooth transition of system ownership and reducing post-engagement support requests by 70%. Amazon — Seattle, WA

Software Development Engineer II August 2016 – June 2019

• Developed high-traffic, big data Java services for consumer-facing healthcare-adjacent platform, processing millions of daily events with 99.99% availability SLA using AWS cloud infrastructure and microservices.

• Built scalable event processing pipeline using SQS, Lambda, and DynamoDB, implementing idempotency patterns and exactly-once processing to ensure data integrity for critical user transactions.

• Designed and implemented C# .NET Framework desktop application components for internal diagnostic tools, featuring WPF UI with real-time data visualization of system health metrics and performance indicators.

• Led migration of monolithic service to containerized microservices on AWS ECS, implementing blue-green deployment strategy that reduced customer-impacting deployment incidents by 75%.

• Created comprehensive monitoring and alerting using CloudWatch metrics and custom dashboards, enabling proactive detection of performance degradation and reducing mean time to detection by 40%.

• Implemented automated testing framework with unit and integration tests covering critical business logic, achieving 90% test coverage for core services and enabling confident continuous deployment.

• Optimized relational database queries and data access patterns for MySQL-backed services, reducing query latency by 60% and improving overall system responsiveness during peak traffic periods. PagerDuty — San Francisco, CA

Software Engineer II; Software Engineer June 2013 – July 2016

• Developed mission-critical Ruby on Rails and Python APIs for healthcare incident management platform, ensuring high availability and reliability for hospital emergency response workflows.

• Built real-time event processing system handling high-volume alert streams from medical monitoring devices, implementing queue-based workers with exponential backoff for downstream integrations.

• Designed RESTful APIs for third-party integrations with hospital systems, including comprehensive documentation and SDK examples to accelerate partner development and adoption.

• Implemented data validation and sanitization pipelines for patient alert data, ensuring HIPAA-compliant handling of protected health information throughout the incident lifecycle.

• Created observability tools and dashboards for system operators, providing visibility into alert volume, routing accuracy, and system performance across multiple healthcare customer deployments.

• Participated in Agile development cycles with cross-functional teams including product managers, UX designers, and QA engineers, delivering features supporting clinical workflow automation. EDUCATION

North Carolina State University — Raleigh, NC

B.S., Computer Science, 2009 – 2013

Contact this candidate