Software Engineer - Full stack (React+Java)

• Facilitate effective communication with client project stakeholders regarding project status and recommendations.
• Craft client code that is efficient, performant, testable, scalable, secure, and of the highest quality.
• Actively participate in accurate planning and estimation efforts, utilizing project methods and tools.
• Proficiently gather requirements and organize/present developed features for clients.
• Execute complex activities within the current methodology and quality standards, showcasing success across diverse engagements.
• Promote client success across the team by collaborating with engineers, designers, and managers to understand user pain points, anticipate potential problems, and iterate on solutions that drive client success.
• Engage in agile software development, including daily stand-ups, sprint planning, team retrospectives, and other governance activities.
• Actively participate in the Engineering Practice community, mentoring others through Communities of Practice (CoPs) or on project teams and supporting the growth of technical capabilities.
• Independently drive project delivery within defined architecture, demonstrating autonomy and accountability in all stages from conceptualization to deployment.
• Use AI-assisted development tools (GitHub Copilot) and specification-driven practices (OpenSpec) responsibly, ensuring all AI-generated suggestions are reviewed, tested, and approved before merging or deploying.

Minimum Qualifications

A minimum of 5+ years of experience/expertise in the following areas:

UI / Frontend

• React 19 with JavaScript and JSX
• Vite for development and production builds
• Material UI (MUI), MUI Data Grid, and Emotion for components and styling
• Redux Toolkit and React Redux for shared application state
• React Context for user and feature-flag information
• React Router for client-side navigation
• Axios for communication with backend REST APIs
• Okta React and Okta Auth JS for authentication
• Vitest and React Testing Library for unit and component testing
• ESLint and Prettier for code quality and formatting
• Husky and lint-staged for pre-commit validation
• Nginx for serving the production UI

API / Backend

• Java 25
• Spring Boot 4
• Spring Web MVC for REST API development
• Spring Data JPA and Hibernate for persistence
• Microsoft SQL Server as the production database
• H2 in SQL Server compatibility mode for automated tests
• Okta OAuth 2.0 and Spring Security for authentication and authorization
• OpenAPI/Swagger for API documentation
• Gradle for builds and dependency management
• JUnit 5, Mockito, AssertJ, and Spring Boot Test for automated testing
• JaCoCo for code-coverage reporting
• Log4j2 for application logging
• Spring Boot Actuator for application health and operational endpoints
• ShedLock for controlling scheduled jobs
• Apache POI for Excel processing
• AWS SDK for S3 file storage and retrieval

Auditing and Operational Monitoring

• Spring Data JPA auditing for created-by, created-date, modified-by, and modified-date information
• Custom AOP-based user-activity auditing for important business operations
• Database-backed user-activity records
• Correlation IDs for tracking bulk-action requests
• Log4j2 application logging
• CloudWatch and OpenSearch for deployed application logs and operational analysis

Cloud and DevOps

• Docker for application packaging
• AWS ECS/Fargate for containerized deployment
• AWS ECR for Docker image storage
• AWS S3 for attachments, configuration files, and generated output files
• AWS CloudFormation for infrastructure configuration
• Harness as the primary CI/CD and deployment platform
• Snyk for dependency and container security scanning
• CloudWatch and OpenSearch for logs and monitoring
• Git and GitHub for source control, pull requests, and code reviews
• GitHub Actions for OpenSpec proposal and design automation

AI-Assisted and Specification-Driven Development

• GitHub Copilot for code suggestions, implementation, refactoring, debugging, test generation, and technical documentation
• OpenSpec for defining proposals, requirements, technical designs, implementation tasks, and acceptance criteria, keeping code changes traceable to agreed requirements
• GitHub Actions integrated with OpenSpec for automated proposal and design workflows
• Comfort reviewing, testing, and approving AI-generated suggestions before they are merged or deployed

General Qualifications

• Experience in Agile software development methodologies.
• Expertise in applying Object-Oriented Programming principles (abstraction, encapsulation).
• Experience in creating and implementing well-tested, scalable, and performant enterprise-level systems.
• Practice and initiative mentoring other engineers and decision-makers throughout the organization.
• Good understanding of SOLID principles.
• Proficiency in the English language.

Additional Experience Desired

• Experience with additional AWS services (e.g., Lambda, API Gateway) beyond the core ECS/Fargate, ECR, S3, and CloudFormation stack
• Familiarity with supplementary monitoring/observability tools (e.g., Grafana, Prometheus) alongside CloudWatch and OpenSearch
• Experience with Microsoft SQL Server backup and database maintenance tooling
• Understanding of additional authentication/authorization protocols (e.g., LDAP) alongside Okta OAuth 2.0
• Prior experience working with GitHub Copilot or similar AI pair-programming tools in a production codebase