Software Integration Engineer SQL - Java

Reposted Yesterday
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2 Locations
Hybrid
Mid level
Artificial Intelligence • Analytics
The Role
The Software Integration Engineer will implement and customize software for Fraud Detection and AML solutions, ensuring successful deployment and technical support for clients.
Summary Generated by Built In
Company Description

We are One Sutherland — a global team where everyone is working together to create great breakthrough solutions. Our workforce has thrived in an environment of diversity of thought, experience and background. We celebrate our diversity and embrace it whole-heartedly. Sutherland is an equal opportunity employer. We promote a positive work environment by conducting ourselves professionally and helping each other achieve our goal of One Sutherland Team, Playing to Win.

Sutherland was founded 38 years ago (1986). Since then, we have become a leading global provider of business process and technology management services offering an integrated portfolio of analytics-driven back office and customer-facing solutions that support the entire customer life cycle.

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 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.

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.

 

Skills Required

  • BS/BA Degree in Computer Science, Engineering, or a related technical field
  • 3-5+ years in a Professional Services or Software Development role
  • Strong programming skills, with expertise in SQL, Java, and Python
  • Hands-on experience with Unix commands and shell scripting
  • Familiarity with Cloud technologies and DevOps tools
  • Understanding of Web Services, RESTful APIs, and networking
  • Experience in Data Science and Machine Learning
  • Knowledge of financial systems and fraud compliance solutions

Sutherland Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Sutherland and has not been reviewed or approved by Sutherland.

  • Flexible Benefits Flexible scheduling and work-from-home arrangements are offered on certain programs, supported by remote-work infrastructure and virtual IT support. Program-specific flexibility is emphasized for “Sutherland Anywhere” roles.
  • Leave & Time Off Breadth Paid time off and paid training are positioned as standard elements, with some materials also highlighting flexible vacation days. Core leave features are presented as part of the baseline package.
  • Strong & Reliable Incentives Performance incentives, bonuses, and commissions are available on selected programs to supplement base pay. Goal-linked earnings opportunities are described for certain functions.

Sutherland Insights

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The Company
HQ: Pittsford, NY
39,547 Employees
Year Founded: 1986

What We Do

We make digital ?????™ by combining human-centered design with real-time Analytics, AI, Cognitive Technology & Automation to create exceptionally engineered Brand Experiences! Sutherland is an experience-led digital transformation company. Our mission is to deliver exceptionally engineered experiences for customers and employees today, that continue to delight tomorrow. For over 35 years, we have cared for our customers’ customers, delivering measurable results and accelerating growth. Our proprietary, AI-based products and platforms are built using robust IP and automation. We are a team of global professionals, operationally effective, culturally meshed, and committed to our clients and to one another. We call it One Sutherland. #MakeDigitalHuman

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