Associate Software Engineer, Full Stack

About the Role

The Associate Software Engineer - Full Stack supports business impact by helping build secure, reliable digital platforms that improve product delivery, operational efficiency, and customer outcomes. Working under the guidance of experienced engineers, this role contributes to modern web frontends, APIs, microservices, and data layers using established architecture and cloud practices. The engineer uses approved AI-assisted tools to support coding, testing, troubleshooting, and continuous learning while validating generated outputs. Operating within Empower's fast-growing, highly regulated 503A/503B environment, this position follows established security, quality, and compliance requirements. The role emphasizes foundational technical skills, collaboration, disciplined execution, and a willingness to learn. With mentorship and regular code review, the associate delivers well-defined features and fixes, builds technical proficiency, and develops increasing independence while supporting mission-critical healthcare operations.

Key Responsibilities

Platform Engineering

• Full Stack: Contribute to application features and fixes using the team's technology stack, including TypeScript, React.js, Next.js, Java, Spring Boot, Node.js, GraphQL, C#, and Python. Work with experienced engineers to connect frontends, APIs, and microservices, following established patterns and using approved AI-assisted coding and testing tools with human review.
• API Development: Help build, test, and maintain RESTful APIs that support data exchange across systems. Follow established API design, security, and regulatory requirements, and assist with debugging, monitoring, and performance improvements under engineering guidance.
• Cloud Architecture: Support cloud-based applications across Azure and AWS using established Infrastructure as Code templates. Assist with configuration, monitoring, and troubleshooting, and learn to use approved AI tools to evaluate resource utilization, reliability, and cost efficiency.

DevOps and Automation

• Pipeline Automation: Assist with maintaining CI/CD pipelines. Help update build, test, and deployment tasks, investigate pipeline failures, and use approved AI-assisted automation while following established governance, review, and traceability practices.
• Infrastructure Management: Support Terraform-based infrastructure changes under the guidance of experienced engineers. Follow existing templates and review processes, and help investigate monitoring alerts and AI-generated insights related to capacity, anomalies, and performance.
• Release Engineering: Contribute to release readiness through automated testing, deployment verification, and monitoring. Follow documented release and rollback procedures, use approved AI tools to assist troubleshooting, and escalate issues to support reliable, compliant deployments.

Collaboration and Innovation

• Cross-Functional Collaboration: Work with product, data, and engineering teams to clarify requirements and deliver assigned features. Communicate progress, ask questions, and use approved AI-enabled collaboration tools to support problem-solving and alignment with business needs.
• Technical Development: Participate in code reviews and technical discussions, apply feedback from experienced engineers, and follow engineering best practices. Build proficiency through mentorship, hands-on development, and responsible use of AI-assisted learning and coding tools.
• Continuous Improvement: Help identify recurring defects, manual tasks, and small system improvements. Implement scoped enhancements with guidance, use approved AI-assisted analysis where appropriate, and document changes that improve quality, performance, or developer productivity.

Requirements & Tech Stack

• Foundational knowledge of full stack development, API design, and microservices.
• Hands-on experience in one or more of Angular, React.js, Next.js, Python, Java, Spring Boot, Node.js, TypeScript, and GraphQL, with a willingness to learn the broader stack.
• Basic familiarity with Terraform, CI/CD pipelines, and containerization technologies such as Docker and Kubernetes, gained through coursework, projects, internships, or professional experience.
• Basic understanding of AWS and Azure concepts, including cloud services, monitoring, and security practices, with a willingness to learn requirements for regulated environments.
• Ability to use approved AI tools for coding, testing, and troubleshooting with guidance, validate generated outputs, and follow company requirements for data protection and responsible AI use.
• Exposure to headless web applications and REST APIs.
• Nice to have: Exposure to React Native for cross-platform mobile application development.
• Familiarity with healthcare standards and regulations such as HL7 and HIPAA is a plus.

Qualifications

• Internship experience through three years of professional software development experience, including hands-on work with Java or React.js or comparable technologies. Relevant academic, personal, or open-source projects may demonstrate foundational development skills.
• Bachelor's degree in Computer Science, Information Technology, or a related field, or an equivalent combination of education, training, and practical experience demonstrating foundational software engineering capabilities.
• Strong collaboration, problem-solving, and learning skills, with the ability to communicate clearly, incorporate feedback, and manage assigned tasks in a fast-paced, evolving environment.

Key Competencies

• Customer Focus
• Strategic AI
• Optimizes Work Processes
• Collaborates
• Resourcefulness
• Manages Complexity
• Ensures Accountability
• Situational Adaptability
• Communicates Effectively

Values

• People
• Quality
• Service
• Innovation