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Midlyn Joseph

Midlyn Joseph

Software Engineer

Talent
East HamptonMember since June 8, 2026
JavaSpring BootMySQLMavenKubernetesDockerAWSQuarkusOracleSQLRESTful APIsHelmArangoDBSwagger/OpenAPIGraphQLAWS Cloud Development Kit (AWS CDK)AWS LambdaWebSphereSoapUIStatic Application Security Testing (SAST)Azure Kubernetes Service (AKS)Azure CLIReduxSpring Data JPAORMData Transfer Objects (DTO)Docker ComposePL/SQLYAMLAPI Gateway
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JavaSpring BootMySQLMavenKubernetes

About

Full-stack developer and military veteran with experience delivering mission-critical applications in Department of Defense environments (DOD). Proven track record building scalable, cloud-native systems using Kubernetes, designing intuitive user interfaces, and developing secure RESTful APIs. Strong background in MySQL and Oracle, with advanced SQL expertise to enforce business logic, ensure data integrity, and optimize performance in high-volume systems.

Active Secret

Clearance.

Experience

Software Engineer at Northrop Grumman (2025-07 – Present)

  • Designed system architecture for new software features by evaluating multiple implementation approaches and documenting trade-offs, risks, and scalability impacts
  • Implemented RESTful APIs, deploying microservices to a Kubernetes using Helm charts for scalable and automated releases
  • Designed and implemented automated graph data initialization in ArangoDB, establishing entity relationships through nodes and edges to support application configuration and lookup workflows
  • Authored comprehensive API documentation with Swagger/OpenAPI, detailing endpoints, parameters, response models, and examples for the client
  • Developed and executed unit tests to ensure reliability of new features, maintainability, and code coverage
  • Built a reusable Maven library to convert CQL2 queries into GraphQL which allowed users to retrieve specific data for user needs and allow faster data retrieval
  • Created test scenarios to support new alert functionality with integration testing to cover edge cases
  • Optimized Id reassociation improving downstream service performance before publishing 8,000+ line JSON payloads to Kafka

Application Developer at IBM (2023-01 – 2025-07)

  • Lead developer for the migration of on-premise code integrating over 40 external services to AWS
  • Implemented Infrastructure As Code (IAC) using AWS Cloud Development Kit (AWS CDK) to automate resource provisioning, reusability and smooth deployments
  • Modernized a servlet-based application hosted on WebSphere to a high traffic, serverless Customer Service BFF using Quarkus and AWS Lambda
  • Collaborated with DevOps engineers to debug and optimize AWS CDK stacks, API Gateway configurations, and CI/CD pipeline failures
  • Utilized SoapUI to test on-premise XML-based services and validate JSON responses post migration
  • Resolved Static Application Security Testing(SAST) scans vulnerabilities to enhance application security and compliance
  • Developed microservices using Java Spring Boot, leveraging event-driven architecture with Kafka for asynchronous communication and RESTful APIs to handle business logic and data processing
  • Deployed to Azure Kubernetes Service (AKS) using Azure CLI, improving system scalability, fault tolerance, and performance
  • Configured YAML manifests (Deployments, Services, Secrets) to manage Kubernetes microservices and credential security
  • Developed Login UI using Redux for state management and integrated backend authentication services
  • Used Spring Data JPA and ORM for efficient database interaction and streamlined data persistence across services
  • Designed secure Data Transfer Objects (DTO) for structured, sanitized communication between frontend and backend
  • Created Dockerfiles and Docker Compose configurations to support containerized development and service interconnectivity
  • Resolved PL/SQL runtime errors, improving system stability and supporting ongoing operations
  • Developed SQL scripts and database views to replicate and modernize legacy system functionality
  • Optimized query performance on datasets with millions of rows, reducing execution time
  • Updated technical documentation to reflect architectural changes

Skills

Software Engineer

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