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: Job Duties Design, code, test and debug complex software while developing new functionality, and enhancing existing functionality, in order to satisfy customer requirements, both internal and external. Design work encompasses a broader project/system scope. Work is assigned via broad guidelines. Work includes developing detailed specifications from which applications will be written, designed, coded, tested and debugged. Design, develop, and deploy automation solutions for business processes and data acquisition with technologies like Tungsten Automation. Maintain and optimize existing automation workflows for scalability and performance. 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. 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 strongly preferred Five to eight years of experience in an applicable software development environment Self-starter with in-depth hands-on work experience with large-scale implementations of RPA Automation solutions in Google Cloud Platform (GCP) and/or with AWS or Azure Demonstrated hands-on experience with Tungsten RPA (Kofax Kapow) preferred. Experience with tools like UI Path or Microsoft Power Automate will be considered. Experience with Python, SQL Experience integrating Automation & RPA solutions with databases, APIs, and other enterprise systems Use skills as a seasoned, experienced professional to work on all phases of development within broadly assigned technical discipline Experience with source control systems, particularly Git Relevant cloud certifications such as GCP Cloud Engineer Experience with Big-Data techno ... (truncated, view full listing at source)