Software Integration Engineer SQL - Java

About the role

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. 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. 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 J Python, Java, 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.

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