Associate Software Engineer

About the Role

The Associate Software Engineer will work to deliver on projects in a fast-paced environment where the collective team emphasis is to generate market-driven solutions that work. The successful candidate will be required to collaborate effectively with developers, offshore development team members, business owners, project management, and other internal stakeholders. We develop highly innovative customer-facing applications in healthcare analytics to generate performance, improvement opportunities, and value for our clients.

Key Responsibilities

• Work within the team developing and supporting analytics systems with patent-pending technology and applications to support our in-house audit partners.
• Design and implement new solutions.
• Learn new technologies and apply them to the problem space.
• Peer review software changes by other developers.
• Provide technical guidance to the team on development.
• Document the specifications, design, features, and operation of applications prior to production rollout.
• Work collaboratively with business partners to define and ensure the completeness and accuracy of system/technical requirements.
• Complete all responsibilities as outlined in the annual performance review and/or goal setting.
• Complete all special projects and other duties as assigned.

Requirements & Tech Stack

• Bachelor’s Degree in Computer Science, Information Technology, Information Systems or related field or equivalent work experience.
• 0-1 year of professional Java development experience.
• Strong grasp of core Java and object-oriented programming: classes, interfaces, inheritance, polymorphism, encapsulation, and exception handling.
• Familiarity with the Java Collections Framework, generics, streams, and lambdas.
• Understanding of basic data structures and algorithms.
• Experience with a build tool (Maven or Gradle) and an IDE (IntelliJ IDEA or Eclipse).
• Proficiency with Git and basic branching and pull request workflows.
• Basic knowledge of relational databases and SQL (simple queries, joins, and CRUD operations).
• Ability to read, debug, and explain existing code.
• Basic awareness of secure coding practices: input validation, parameterized queries, and no hard-coded credentials.
• Ability to use AI coding assistants (such as Claude or GitHub Copilot) for development, debugging, and documentation.
• Sound judgment with AI output: review, test, and understand any code before committing it, and explain it in a code review.
• Strong organizational, analytical, and communication skills (written and verbal).
• Ability to execute project deliverables in a dynamic, fast-paced environment within estimated timelines.

Preferred Qualifications

• Experience with Spring or Spring Boot (REST controllers, dependency injection, and configuration).
• Experience writing unit tests with JUnit and mocking with Mockito.
• Familiarity with REST APIs, JSON, and HTTP fundamentals.
• Exposure to JDBC, JPA, or Hibernate.
• Basic understanding of concurrency and multithreading.
• Familiarity with CI/CD pipelines, Docker, or cloud platforms.
• Exposure to Agile and Scrum.
• Basic front-end exposure (such as Angular or React).
• Experience writing effective prompts and using AI to generate unit tests, boilerplate, or documentation, and validating the results.
• Understanding of AI limitations, including hallucinated APIs, outdated syntax, and insecure suggestions.
• Exposure to agentic or CLI-based coding tools.

Mental Requirements

• Critical Thinking: Analyze problems objectively and make sound, data-driven decisions.
• Attention to Detail: Maintain accuracy across code, data, and deliverables.
• Quantitative Skills: Apply strong analytical and statistical methods to solve problems.
• Data Interpretation: Extract actionable insights from data, metrics, and visualizations.
• Communication: Clearly explain technical concepts to both technical and non-technical audiences.
• Learning Agility: Quickly adopt new tools, technologies, and best practices.
• Resilience: Adapt to shifting priorities and deliver under pressure.
• Integrity: Handle data responsibly and uphold engineering and ethical standards.

Physical Requirements And Working Conditions

• Remaining in a stationary position, often standing or sitting for prolonged periods.
• Repeating motions that may include the wrists, hands, and/or fingers.
• Must be able to provide a dedicated, secure work area.
• Must be able to provide high-speed internet access / connectivity and office setup and maintenance.