Northwestern Mutual-posted 10 days ago
Full-time • Entry Level
Hybrid
5,001-10,000 employees

The Software Engineer at Northwestern Mutual Life Insurance Company in Milwaukee, WI will develop new features for learning management ecosystem. Enhance Learning Management System using Kafka, data hydration, and composite models. Expand learning record store and improve learning automation. Develop new front-end components, content types, and templates using JavaScript (React) and related languages and Node.js, Next.js, React, Spring Boot, Gradle, and Maven frameworks. Partner with design team to conceptualize new features. Identify and maintain UI/UX patterns used across company. Document and perform integration testing of learning systems. Enhance infrastructure work within AWS. Improve CICD process used to deploy applications. Provide support for existing applications and data systems. Troubleshoot usage problems with product team. Shape feature requirements based on stakeholder needs. Support other teams using APIs. Participate in agile ceremonies including daily standup, sprint planning, backlog review, retrospectives, and stakeholder demos. Contribute code and perform code reviews for other team members. Telecommuting permitted 2 days per week. Salary $96,491- $172,380 per year. Minimum Requirements: Master’s degree in Computer Technology or a related field and 1 year (or a Bachelor’s degree plus 3 years) of experience as a web application developer, software developer, or related occupation. Experience must include 1 year of experience with each of the following: (1) CI/CD concepts and tools including Jenkins or GitLab CI; (2) JavaScript and Java programming languages; (3) Node.js, Next.js, React, Spring Boot, Gradle, and Maven frameworks; (4) building and maintaining RESTful API services; (5) Apache Kafka for data processing and real-time analytics; (6) AWS and Azure cloud platforms and Docker and Kubernetes containerization tools; and (7) implementing and managing data-driven initiatives, including Kafka, data hydration, and composite models. Interested candidates send resume to [email protected]. Reference code 426 in the subject line. We believe in fairness and transparency. It’s why we share the salary range for most of our roles. However, final salaries are based on a number of factors, including the skills and experience of the candidate; the current market; location of the candidate; and other factors uncovered in the hiring process. If noted, this is standard pay structure for this position. Grow your career with a best-in-class company that puts our clients' interests at the center of all we do. Get started now! Northwestern Mutual is an equal opportunity employer who welcomes and encourages diversity in the workforce. We are committed to creating and maintaining an environment in which each employee can contribute creative ideas, seek challenges, assume leadership and continue to focus on meeting and exceeding business and personal objectives. If you work or would be working in California, Colorado, New York City, Washington or outside of a Corporate location, please click here for additional information pertaining to compensation and benefits. At Northwestern Mutual, we believe relationships are built on trust. That our lives and our work matter. These beliefs launched our company over 160 years ago. Today, they're just a few of the reasons why people choose to build careers at Northwestern Mutual. What started in Milwaukee, WI has grown into 7,000+ home office professionals split across 3 campuses: New York City, Franklin and downtown Milwaukee (HQ) - each one bringing with it its own unique talent and culture. In a company with such a long and storied history, this may be the most exciting and important time to be a part of Northwestern Mutual as we are growing our digital and tech capabilities and are always on the lookout for bright, tech-savvy candidates. Northwestern Mutual is proud to be an equal opportunity and affirmative action employer. We have chosen to build a diverse and inclusive workplace where talented people from all backgrounds want to be, want to stay, and want to build their future. We celebrate and support our differences for the benefit of our employees, our products, and our community. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or status as a protected veteran, or any other characteristic protected by law.

  • Develop new features for learning management ecosystem
  • Enhance Learning Management System using Kafka, data hydration, and composite models
  • Expand learning record store and improve learning automation
  • Develop new front-end components, content types, and templates using JavaScript (React) and related languages and Node.js, Next.js, React, Spring Boot, Gradle, and Maven frameworks
  • Partner with design team to conceptualize new features
  • Identify and maintain UI/UX patterns used across company
  • Document and perform integration testing of learning systems
  • Enhance infrastructure work within AWS
  • Improve CICD process used to deploy applications
  • Provide support for existing applications and data systems
  • Troubleshoot usage problems with product team
  • Shape feature requirements based on stakeholder needs
  • Support other teams using APIs
  • Participate in agile ceremonies including daily standup, sprint planning, backlog review, retrospectives, and stakeholder demos
  • Contribute code and perform code reviews for other team members
  • Master’s degree in Computer Technology or a related field and 1 year (or a Bachelor’s degree plus 3 years) of experience as a web application developer, software developer, or related occupation.
  • 1 year of experience with CI/CD concepts and tools including Jenkins or GitLab CI
  • JavaScript and Java programming languages
  • Node.js, Next.js, React, Spring Boot, Gradle, and Maven frameworks
  • building and maintaining RESTful API services
  • Apache Kafka for data processing and real-time analytics
  • AWS and Azure cloud platforms and Docker and Kubernetes containerization tools
  • implementing and managing data-driven initiatives, including Kafka, data hydration, and composite models
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