Summary

As a Senior Software Engineer for FINEOS data and digital products you will be designing and implementing innovative products in AI, ML and data platform. You will collaborate with other Engineers and Architects in FINEOS to deliver data engineering capabilities to integrate AI, ML data products in core AdminSuite platform. Python, microservices and data engineering principles in a native AWS stack are the primary technical skills required to be successful in this position.

Responsibilities (Other duties may be assigned.)

• Product engineering delivery – Translate high level design to smaller components for end-to-end solution delivery. Ability to code and review code of peers to enforce good coding practices, sound data structure choices and efficient methods.

• Product deployment – Well versed with AWS Devops automation to drive CICD pipelines, unit test, automated integration test, version management and promotion strategy across different environments.

• Product maintenance – Manage current portfolio of AI, ML data products to ensure timely update of underlying AWS components to ensure products are on current stack and marketable.

Education and/or Experience

Senior Python engineer with over seven years of experience in successfully developing and deploying, Python cloud-based applications and services. Demonstrated proficiency in delivering scalable applications, optimizing application performance, and ensuring robust security measures.

Knowledge, Skills and Abilities

• Building microservices and event-based applications in serverless architecture.

• Storing and managing large volumes of data in objects, databases.

• Continuous Integration/Continuous Deployment (CI/CD) pipelines for automated testing and Deployment.

• Monitoring and logging tools for application performance and error tracking.

• Knowledge of best practices for securing AWS resources and data.

• Proficient in agile development practices.

• Experience working in large, complex Enterprise solutions with cross geography, cross time zone teams.

• Proficient in MS Office applications, such as Word, Excel, PowerPoint, etc.

• Familiar with operating systems, such as Windows, Success Factors, etc.

Technical Skills

• Experience in frameworks and Python libraries such as Flask, Django, Pandas and NumPy.

• Working with NoSQL databases for high-speed, flexible data storage.

• Containerization for consistent deployment.

• Experience in operationalizing ML models in production or building GenAI applications using Textract, Sagemaker, Bedrock

Language Skills

Ability to speak the English language proficiently, both verbally and in writing to collaborate with global teams.

Travel Requirements

This position does not require travel.

Work Environment

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• Employee works primarily in a home office environment.

• The home office must be a well-defined work area, separate from normal domestic activity and complete with all essential technology including, but not limited to; separate phone, scanner, printer, computer, etc. as required in order to effectively perform their duties.

Work Requirements

• Compliance with all relevant FINEOS Global policies and procedures related to Quality, Security, Safety, Business Continuity, and Environmental systems.

• Travel and fieldwork, including international travel may be required. Therefore, employee must possess, or be able to acquire a valid passport.

• Must be legally eligible to work in the country in which you are hired.

FINEOS is an Equal Opportunity Employer. FINEOS does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.