Software Development Engineer (Java)

CoreLogic•Austin, TX

2d•$107,200 - $130,000•Hybrid

About The Position

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. 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).

Requirements

Bachelor’s degree in Computer Science, Software Engineering, related technical field, or equivalent work history.
2+ years of relevant work experience in software development.
Strong proficiency in software development principles and practices.
Experience with the software development lifecycle from concept to deployment.
Hands-on experience with Java, REST APIs, GraphQL, the Spring Framework, specifically Spring Boot, Spring MVC, and Spring Data.
Solid understanding and experience working within a microservices architecture.
Demonstrated ability to write clean, maintainable, and efficient code.
Knowledge of coding standards and best practices.
Experience in cloud environments (GCP, AWS, or Azure).
Strong problem-solving skills with the ability to troubleshoot and debug complex issues.
Excellent communication and collaboration skills to work effectively with cross-functional teams.
Familiarity with or strong interest in AI-native engineering tools (e.g., AI coding assistants) and a proven commitment to staying current with emerging AI technologies in software development.

Responsibilities

Utilize the Spring Framework (Spring Boot) to build and enhance backend Data API services, ensuring high performance, security, and reliability.
Write clean, maintainable, and well-documented code following object-oriented programming principles and established team standards.
Leverage AI-assisted coding tools (such as GitHub Copilot, Gemini, or similar LLM-based utilities) to accelerate drafting, refactoring, documenting, and testing code, while maintaining rigorous manual oversight for quality and security.
Implement Test-Driven Development (TDD) practices, writing comprehensive unit and integration tests to ensure end-to-end functionality and zero-downtime reliability.
Actively conduct and participate in thorough peer code reviews to ensure code quality, adherence to best practices, and knowledge sharing.
Collaborate closely with cross-functional teams, Product Managers, and Senior Engineers to translate business needs and conceptual ideas into actionable technical tasks.
Apply appropriate data structures and algorithms to build efficient solutions, optimizing existing application performance and API response times.
Troubleshoot, debug, and resolve technical issues in production systems independently or collaboratively within the POD.
Utilize continuous integration and continuous deployment (CI/CD) pipelines to ensure smooth and automated software delivery.
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.
Provide guidance and peer mentorship to junior team members, while actively learning and absorbing architectural knowledge from Senior and Principal Anchors.