Senior Backend Engineer - Java

RealNewark, CA
$152,000 - $194,000Remote

About The Position

As a Senior Backend Engineer, you will be reporting to the Vice President of Engineering and would be a key member of Real’s R&D team. You will operate in an AI-first environment leveraging tools like Claude Code to translate product ideas into production-ready systems. You will help lead the overall technical vision for all things back-end, implementing features, squashing bugs, and making improvements across our Java Spring Microservices. You would also drive adoption of AI-assisted development practices within the backend engineering team. If you are self-motivated and a tech expert to join a results-oriented team, we encourage you to join us. This role is not just about writing code; it’s about designing scalable systems, validating and owning AI-assisted code, and driving technical excellence across the team.

Requirements

  • Extensive experience with Java 17+ (migrating toward Java 21), Spring Boot 3.x, JPA/Hibernate 6, and SQL relational databases.
  • Comfortable writing unit and integration tests and maintaining strong code coverage.
  • Experience designing event-driven microservices and applying patterns such as Domain-Driven Design (DDD), hexagonal (ports & adapters) architecture, and CQRS.
  • In-depth knowledge of relational databases, including indices, connection pools, transactions (ACID), and implications of schema designs on performance.
  • Experience with NoSQL databases, understand their advantages and disadvantages, and know when to prefer one over a relational database.
  • Opinionated in the direction that backend software development is going and will give recommendations and take the initiative for the long-term health of the project.
  • Keen eye for where to refactor and when, using standard design principles and patterns, and excited to lead the team on the path to better code.
  • Welcoming to other engineers, have a collaborative attitude, and excited to both learn and teach new knowledge.
  • Enjoy working with a remote team that spans many different time zones and locations.
  • Comfortable in an agile, fast-paced startup environment where you work closely with product to understand how your work will fit into the larger project while acting on limited information.
  • Hands-on experience with AI coding assistants such as Claude Code, Cursor, and Codex (or similar) in real development workflows.
  • Familiarity with agentic / CLI-based AI workflows and Model Context Protocol (MCP) integrations that connect AI tools to internal systems (e.g., GitHub, Datadog, issue tracking, SonarQube).
  • Experience applying AI to accelerate code review, test generation, and documentation, not just code completion.
  • Ability to critically evaluate generated code; identify incorrect or suboptimal outputs; refactor AI-generated code for production readiness.
  • Strong judgment on when to use AI vs manual implementation; trade-offs between speed and correctness; validating and owning AI-assisted code before it ships to production.
  • BA/BS degree and 8+ years of related experience; or any combination of education and experience, which would provide an equivalent background.
  • Must have experience in Spring/Spring Boot, Hibernate, and Relational Databases.

Nice To Haves

  • A real estate background with transferable skills would be an asset.
  • Demonstrated Project Coordination/Management skills.

Responsibilities

  • Collaborate with other engineers through pairing sessions, code reviews, and knowledge sharing in our weekly Friday Dev Chats.
  • Mentor and lead junior engineers in software engineering methodology, design, and best practices.
  • Work with the product team and feature owners to understand requirements and see them through to execution and deployment.
  • Help lead the overall technical vision for all things back-end, implementing features, squashing bugs, and making improvements across our Java Spring Microservices.
  • Drive adoption of AI-assisted development practices within the backend engineering team.
  • Design scalable systems.
  • Validate and own AI-assisted code.
  • Drive technical excellence across the team.

Benefits

  • We are empowered through our strong test coverage to allow continuous delivery with multiple deploys per day.
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