Sr Professional, Software Engineer

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: Design, code, test and debug complex Java and .NET software while developing new functionality, and enhancing existing functionality, in order to satisfy customer requirements, both internal and external. for the mortgage and underwriting space. Work is assigned via broad guidelines. Work includes developing detailed specifications from which applications will be written, designed, coded, tested and debugged. Develop and implement AI integrated product software application with Google DOC AI and GEMINI model/APIs. Consult with product owners/business partners to define requirements and software design. Evaluate feasibility and make recommendations, considering things such as customer requirements, time limitations, system limitations. Mentor less experienced team members in learning this process. Define scope and develop testing methods, collaborating with QA team and other developers. Work with QA team to improve all levels of testing efforts, developing and enhancing testing methods and processes. May also perform testing. Support, maintain and document software functionality. Makes recommendations on and influences engineering processes and methods. Provide operational support on complex/escalated issues to diagnose and resolve incidents in production systems. Incidents tend to be fewer but more complex, requiring analysis of issues, determination of additional resources to resolve the issue, and an in-depth system perspective. Explore and research new and alternate technologies and platforms using AI driven approach. Evaluate, recommend, and apply these alternate/new technologies, disseminating information throughout the team/department. This includes documenting large and complex assignments for knowledge transfer and developing expertise in multiple areas. Mentor other team members on area(s) of expertise. Provide technical guidance on a wide range of systems/projects. Job Qualifications: Education, Experience, Knowledge and Skills Bachelor’s degree in computer science or related discipline Five to Eight years of software development experience in multiple programming languages Three or more years of programming experience in Java environment with strong understanding of Spring Boot backend Strong experience with Angular UI Frontend Two or more years of programming experience in .NET applications Experience with developing cloud native applications on Google Cloud Platform Experience with Google DOC AI for data classification and extraction Experience working with Generative AI technologies in product development using GEMINI Experience with development using GitHub Co-pilot and AI enabled software development Strong communication skills and interest in pair programming environment Expertise in design patterns, frameworks and using best practices for software development Experience in Test Driven Development (TDD) and agile methodologies Use skills as a seasoned, experi ... (truncated, view full listing at source)