Software Development Engineer; Java

Position: Software Development Engineer (Java)
## Software Development Engineer (Java)
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Irvine, CA:
Dallas, TX:
Austin, TXtime type:
Full time posted on:
Posted Yesterday time left to apply:
End Date:
July 13, 2026 (2 days left to apply) job requisition :
REQ
18831

At Cotality, we are driven by a single mission—to make the property industry faster, smarter, and more people-centric. Cotality is the trusted source for property intelligence, with unmatched precision, depth, breadth, and insights across the entire ecosystem. Our talented team of 5,000 employees globally uses our network, scale, connectivity and technology to drive the largest asset class in the world. Join us as we work toward our vision of fueling a thriving global property ecosystem and a more resilient society.

Cotality is committed to cultivating a diverse and inclusive work culture that inspires innovation and bold thinking; it's a place where you can collaborate, feel valued, develop skills and directly impact the real estate economy. We know our people are our greatest asset. At Cotality, you can be yourself, lift people up and make an impact. By putting clients first and continuously innovating, we're working together to set the pace for unlocking new possibilities that better serve the property industry.
*
* Job Description:

** We are seeking a talented and driven
** hybrid-remote
** Professional Software Engineer to join our engineering team. In this role, you will design, develop, and maintain robust Java-based applications and GraphQL APIs deployed on Google Cloud Platform (GCP). Leveraging the Spring Boot framework and modern cloud-native practices, you will collaborate with cross-functional teams to deliver scalable, high-performance backend services. This is an opportunity to make a direct impact on product quality, contribute to a culture of engineering excellence, and grow alongside experienced architects and senior engineers.

In this role, you will also actively adopt and leverage AI-native engineering practices and tools to maximize development efficiency and maintain a competitive technological edge.
** Primary Objective:
** Develop, deploy, and maintain robust and scalable Java-based applications and GraphQL APIs on the Google Cloud Platform (GCP).
*
* Job Responsibilities:

*** Spring Framework Execution:
Utilize the Spring Framework (Spring Boot) to build and enhance backend Data API services, ensuring high performance, security, and reliability.
* Write Production-Grade Code:
Write clean, maintainable, and well-documented code following object-oriented programming principles and established team standards.
* AI-Native Engineering:
Leverage AI-assisted coding tools (such as Git Hub Copilot, Gemini, or similar LLM-based utilities) to accelerate drafting, refactoring, documenting, and testing code, while maintaining rigorous manual oversight for quality and security.
* Drive Quality through Testing:
Implement Test-Driven Development (TDD) practices, writing comprehensive unit and integration tests to ensure end-to-end functionality and zero-downtime reliability.
* Participate in Code Reviews:
Actively conduct and participate in thorough peer code reviews to ensure code quality, adherence to best practices, and knowledge sharing.
* Collaborative Problem Solving:
Collaborate closely with cross-functional teams, Product Managers, and Senior Engineers to translate business needs and conceptual ideas into actionable technical tasks.
* Apply Efficient System Design:
Apply appropriate data structures and algorithms to build efficient solutions, optimizing existing application performance and API response times.
* Operational Troubleshooting:
Troubleshoot, debug, and resolve technical issues in production systems independently or collaboratively within the POD.
* CI/CD Pipeline Utilization:
Utilize continuous integration and continuous deployment (CI/CD) pipelines to ensure smooth and automated software delivery.
* Continuous Learning & AI Adoption:
Stay updated on industry trends, emerging cloud/API technologies, and advancements in AI; proactively identify opportunities to adopt and leverage AI-native tools and practices for continuous process improvement.
* Peer Mentorship:
…