Associate Java Software Engineer

What You'll Do

Design & Build Production-Quality Systems

• Contribute to the design and implementation of Java-based backend services and APIs, adhering to best practices and industry standards.
• Build and ship well-tested, maintainable solutions as part of a squad working on real problems with direct business impact.
• Participate in the full delivery lifecycle: design discussions, development, testing, deployment, and iteration.

Code Quality & Reusable Foundations

• Write clean, efficient, well-documented, and maintainable Java code.
• Participate in code reviews as both a reviewer and a recipient.

Collaboration & Growth

• Work closely with senior engineers, product managers, and architects to understand requirements and translate them into technical solutions.
• Engage actively in design reviews and architecture discussions.
• Take feedback seriously and apply it quickly.

Apply AI-Assisted Development Practices

• Use AI-assisted development tools (e.g. Claude Code) as part of your day-to-day workflow.
• Engage with the team's evolving standards for when and how to apply AI tooling responsibly and effectively.

What We're Looking For

Computer Science Fundamentals

• Strong foundational knowledge: data structures, algorithms, object-oriented design, and how production systems behave under real-world conditions.
• Ability to reason through system design problems, understand trade-offs, and write code that is correct before it is clever.
• Understanding of APIs, basic cloud concepts, and modern software delivery practices.

Technical Skills

• Proficiency in Java, or a related object-oriented language, with a clear willingness and ability to become productive in Java and Spring Boot quickly.
• Working knowledge of relational databases (e.g., MySQL, PostgreSQL, SQL Server); querying, schema design, and understanding how your application interacts with a database at runtime.
• Proficiency in version control (Git or Bitbucket) in a collaborative team environment.

AI Fluency & Curiosity

• Comfort using AI-assisted development tools (e.g. Claude Code, GitHub Copilot, ChatGPT, Cursor).
• Openness to learning how and when to apply AI tooling effectively and responsibly.

Problem-Solving

• Ability to engage with ambiguous problems: ask good questions, break the problem down, and propose a reasonable approach.
• Attention to the business context of the work.

Learning Velocity

• Demonstrated ability to learn quickly and independently.
• Receptive to feedback and able to apply it quickly.

What Will Help You Stand Out

• Hands-on experience with agentic frameworks, LLM APIs, or workflow orchestration tools.
• Experience with AWS or equivalent cloud environments.
• Background in financial services, mathematics, or quantitative disciplines.
• A project, contribution, or body of work you can speak to in depth.

Education & Experience

• M.S. in Computer Science preferred; B.S. required (or equivalent work experience).
• 0–2 years of professional software engineering experience; strong internship experience or personal project work considered.
• Experience with or clear ability to ramp quickly on Java, Spring Boot, and relational databases.