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Job Description

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 idóneo 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.

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 JPython, 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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