Lead, Software Engineer - Responsible AI

Job Classification:

Technology - Engineering & Cloud

Are you interested in building capabilities that enable the organization with innovation, speed, agility, scalability and efficiency? The Global Technology team takes great pride in our culture where digital transformation is built into our DNA! When you join our organization at Prudential, you’ll unlock an exciting and impactful career – all while growing your skills and advancing your profession at one of the world’s leading financial services institutions.

Your Team

As a Lead Software Engineer on the Data Platform & Innovation Team you will partner with product owners, tech leads, designers, engineers and delivery professionals to improve the Responsible AI platform using ModelOp Center Software. You will code, test and debug new and existing applications as you implement capabilities to solve sophisticated business problems, deploy innovative products, services and experiences to delight our customers! In addition to advanced technical expertise and experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership attitude and a continuous learning focus to all that you do.

This role is based in our office in Newark, NJ. Our organization follows a hybrid work structure where employees can work remotely and from the office, as needed, based on demands of specific tasks or personal work preferences. This position is hybrid and requires your on-site presence on a reoccurring weekly basis at least 3 days per week. For those outside of the commutable Newark location, we are open to virtual work arrangements.

Here is What You Can Expect on a Typical Day

• Working with enterprise architects to define the detailed installation design (infrastructure, network, security & application)
• Working with the Prudential infrastructure team to provision and configure the target infrastructure (e.g. AWS EKS) and network
• Working with the Prudential database team on database provisioning and configuration
• Working within Kubernetes to install and configure the application via Helm
• Working with the enterprise’s security team to provide SSO/auth for the application via Oauth2/LDAP
• Integrating applications with the enterprise IT systems (e.g. Jira, ServiceNOW, Bitbucket), data systems (e.g. AWS S3), and CICD systems (e.g. Jenkins)
• Assisting the Governance and other teams in configuring the model lifecycles (MLC’s), leveraging BPMN 2.0
• Assisting end-users in loading new MLC’s and/or new Python-based metrics packages
• Troubleshoot any production issues. Interface with various supporting teams (DBA, Infrastructure, security, etc.) as needed.
• Develop and curate application runbooks and assist with end-user specific documentation on the product

The Skills & Expertise You Bring

• Bachelor of Computer Science or Engineering or experience in related fields
• Ability to coach others with minimal guidance and effectively leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization  
• Experience with agile development methodologies and Test-Driven Development (TDD)
• Knowledge of business concepts tools and processes that are needed for making sound decisions in the context of the company's business
• Ability to learn new skills and knowledge on an on-going basis through self-initiative and tackling challenges
• Excellent problem solving, communication and collaboration skills

Advanced experience and/or expertise with several of the following: 

• Programming Languages: Python, Java or Java Script; working in distributed systems, object oriented programming, design patterns and design methodology; JAVA services using Spring CLI, Maven, Microservice, multi-threading, Concurrency and parallel processing
• Frameworks: React, Springboot, Node.js, such as Full / MEAN / MERN stack
• Data Store: NoSQL or Relational Data structures; MongoDB BPM tools
• Data Streaming: SQS, Kinesis
• Application Programming Interfaces (API): Consumption & Development; implementing service oriented architecture (SOA) patterns; Web service technologies such as APIs, REST, JSON, SOAP, XML, JDBC, MySQL
• Unit, interface and end user testing concepts and tooling (functional & non-functional)
• Automated testing
• Accessibility awareness
• Software security skills including secure coding, web application security and DevSecOps; Solid grasp of security concepts (authentication, authorization, encryption, digital signature, JWT), SSL, web service prox