Sutherland is seeking a Professional Services Engineer to play a key role in the implementation, customization, and integration of our Fraud Detection and Anti-Money Laundering solutions from NICE Actimize Premier. This role requires a strong technical background in software development, customer interaction, and project execution. The ideal candidate will work closely with cross-functional teams, including R&D;, Data Science, and Customer Support, to deliver high-quality solutions to financial institutions. Job Description The Professional Services Engineer performs a wide range of duties including some or all the following: - Develop, configure, and implement software features according to design documents and enterprise software standards. - Oversee the technical planning and execution of customer projects, ensuring successful deployment. - Engage with customers to address technical queries, provide support during user acceptance testing, and manage expectations. - Identify and resolve technical project dependencies and risks, collaborating with internal teams as necessary. - Work with Engineering teams to develop 3rd party integrations and optimize software deployment processes. - Collaborate with Data Scientists to create and deploy Machine Learning models. - Lead recurring technical discussions, presenting key updates, risks, and resolutions to stakeholders. - Provide deployment progress updates to management using reporting tools and dashboards. - Occasionally work on-site with clients or in different time zones, as required. - Qualifications - Education: BS/BA Degree in Computer Science, Engineering, or a related technical field. - Experience: 3-5+ years in a Professional Services or Software Development role. - Strong programming skills, with expertise in Python, SQL, PL/SQL, and database technologies (MongoDB, PostgreSQL, MySQL, Oracle, etc.). - Hands-on experience with Unix commands and shell scripting. - Familiarity with Cloud technologies (AWS preferred), DevOps tools (Jenkins, Artifactory, Docker, Kubernetes), and ETL processes. - Solid understanding of Web Services, RESTful APIs, networking, and web technologies. - Excellent problem-solving skills with the ability to analyze large datasets and troubleshoot technical issues. - Strong communication and organizational skills, with the ability to translate complex technical details for various audiences. - Ability to work independently, adapt to changing business needs, and thrive in a fast-paced environment. - Experience in Data Science and Machine Learning. - Knowledge of financial systems, banking technologies (ACH, Wire, Online banking platforms such as Jack Henry, Fiserv, FIS), and fraud/risk compliance solutions. - Actimize-related experience (AIS/RCM/UDM) is a plus. - Strong analytical and quantitative skills for problem-solving in financial domains.