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Software Engineer

Prudential

$85,100 - $126,500
Oct 30, 2025
Newark, NJ, US
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Bridging the gap between applications teams and the enterprise DevOps platform at Prudential by developing software solutions, implementing platform components, and guiding developers to adopt the platform.

Requirements

  • Programming Languages: Python, JavaScript, Terraform
  • Software Architecture: distributed systems, microservices, concurrency, threading
  • Frameworks: React, Node.js, such as Full / MEAN / MERN stack
  • Data Store: NoSQL or RDBMS, Data structures
  • Data Queues: SQS, Kafka, Kinesis
  • AI coding: Claude code, GitHub Copilot, Cursor, Windsurf
  • Source Control: git, branching schemes, merge types, conflict resolutions
  • CI/CD Orchestration Tools: GitHub Actions, Jenkins, Azure DevOps, GitLab
  • Software build tools: Gradle, Maven, Docker, MSBuild, make
  • Deployment Tools: Ansible, Terraform, CloudFormation
  • Observability: Open Telemetry, Splunk, CloudWatch, Dynatrace, DataDog
  • Environments: AWS, Azure, containers, SaaS
  • Familiarity in UX/UI or front-end web design
  • Familiarity in reporting and Business Intelligence tools

Responsibilities

  • Develop software solutions, implementing platform components, and implementing front-end features.
  • Help Architect solutions to build applications ensuring that the code follows latest coding practices and industry standards, using modern design patterns and architectural principles; with guidance, actively code against the roadmap
  • Develop high quality, well documented and efficient code adhering to all applicable Prudential standards
  • Meet with development teams to understand their challenges and develop solutions
  • Collaborate with product owners in understanding needs and defining feature stories, tech leads in defining technical design and other team members to understand the system end-to-end and deliver robust solutions that bring about business impact
  • Bring an understanding of relevant and emerging technologies, begin to identify opportunities to provide feedback to the team, and embed learning and innovation in the day-to-day
  • Assist with company-wide deployment and management of AI code agents

Other

  • Excellent communication skills, a problem-solving mindset, and technical proficiency.
  • Leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization
  • 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
  • Financial/Insurance industry knowledge is a plus, not a must