Established in 1986, Sutherland Global Services is a 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 custome... Ver más 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. 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. Profesional Universitaria Ingeniería de sistemas Computación Ingeniería electrónica Ingeniería de telecomunicaciones 3 años de experiencia 1Vacante #J-18808-Ljbffr