Lead, Software Engineer - Retirement Strategies

Overview

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 pride in a culture where digital transformation is in our DNA. At Prudential, you’ll have an exciting and impactful career while growing your skills at one of the world’s leading financial services institutions.

Retirement Strategies Technology is at the forefront of modernizing how we deliver retirement security. This team is driving multi-year investments in digital platforms, automation, and advanced data capabilities to enhance customer experience and operational efficiency. By blending human expertise with cutting-edge technology, Retirement Strategies Technology aims to make retirement planning more accessible, personalized, and secure.

Location
:
Newark, NJ hybrid (minimum 3 days/week in office)

As a Lead Software Engineer on the Retirement Strategies Technology team
, you will be at the epicenter of our application modernization. You’ll help convert legacy applications into strategic, cutting-edge solutions. You’ll join a cross-functional Agile team where collaboration is key to delivering robust solutions that drive business impact.

• Build applications ensuring that the code follows latest coding practices and industry standards, using modern design patterns and architectural principles; remove technical impediments
• Develop high quality, well documented and efficient code adhering to Prudential standards
• Collaborate with product owners to understand needs and define feature stories; work with tech leads to define technical design and other team members to understand the system end-to-end and deliver robust solutions with business impact
• Write unit, integration, and functional automation tests; research problems discovered by QA or product support and develop solutions
• Bring a strong understanding of relevant and emerging technologies, provide input and coach team members, and embed learning and innovation in day-to-day work
• Work on complex problems where analysis of situations or data requires evaluation of intangible variables
• Use programming languages including but not limited to Python, Java, or JavaScript and frameworks such as React, Spring Boot, Node.js

• Bachelor of Computer Science or Engineering or equivalent experience
• Ability to coach others with minimal guidance and effectively leverage diverse ideas, experiences, thoughts and perspectives
• Experience with agile development methodologies and Test-Driven Development (TDD)
• Knowledge of business concepts, tools and processes needed for making sound decisions in the company’s business context
• Ability to learn new skills continuously through self-initiative and tackling challenges
• Excellent problem solving, communication and collaboration skills
• Advanced experience with several of the following areas:
• Programming
  
  Languages:
  
  React JS, Java (Spring Boot), JavaScript; distributed systems, OOP, design patterns
• Frameworks:
  Spring Boot, React, Node.js (Full/MERN/MEAN)
• Data Store:
  No
  
  SQL and relational databases (e.g., Mongo
  
  DB, Aurora Postgre
  
  SQL, Dynamo
  
  DB)
• Data Streaming: SQS, Kinesis
• APIs: REST, SOA, API gateway technologies (e.g., Kong)
• Testing: unit, integration, end-to-end testing concepts and tooling
• Automated testing approaches (e.g., RAFT)
• Accessibility awareness
• Security: secure coding, web app security, Dev Sec Ops ; authentication/authorization, encryption, JWT, SSL, SAML 2.0, OpenID Connect, OAuth 2.0
• Dev Ops Tools & Practices:
  Git, CI/CD (Git Hub, Bitbucket, Subversion; Jenkins)
• SDLC:
  Monitoring and logging techniques
• AWS Core Services:
  Lambda, Dynamo
  
  DB, KMS, Secrets Manager, SNS, Cloud Watch, S3, IAM, Aurora
• AWS IaaC: infrastructure as code development, batch processing in AWS
• Preferred Qualifications:
• AWS Development
• Architecture Patterns
• Design Thinking
• Financial/insurance industry experience is a plus
• Awareness of Agentic AI Platforms is a plus

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