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Backend Software Engineer

Job in Newark, Essex County, New Jersey, 07175, USA
Listing for: PassFort
Full Time position
Listed on 2026-10-11
Job specializations:
  • Software Development
    Backend Developer, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 168000 - 244000 USD Yearly USD 168000.00 244000.00 YEAR
Job Description & How to Apply Below
Staff Backend Software Engineer

Newark, United States

Posted: 05/20/2026

Job reference: 13639

Experience level:
Experienced Hire

Job category:
Engineering & Technology

Line of business:
Insurance

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are— with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action - enabling intelligence that not only understands complexity but responds to it.

We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.

If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.

Employment eligibility to work in the United States is required, as Moody's will not pursue visa sponsorship for this position.

Skills and Competencies
  • 8 to 15 years of hands-on experience delivering high-impact, multi-team technical projects
  • Proficiency in Java, C#, Scala
  • Experience with relational databases (Postgres, MySQL, SQL Server, Oracle) and No

    SQL data stores
  • Strong understanding of data structures, algorithms, and software design principles
  • Proven development of production-quality RESTful APIs and microservices
  • Experience with cloud-native application development using Docker and Kubernetes, as well as on-prem solutions
  • Focus on scalability, availability, reliability, security, and cost-effective execution
  • Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using tools such as Copilot, Claude, and ChatGPT to streamline workflows and enhance operational efficiency
Education
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline, or equivalent professional experience
Responsibilities

The Staff Software Engineer leads the design and delivery of complex, large-scale technical solutions while influencing strategy, mentoring engineers, and driving high-impact outcomes across multiple teams.

  • Define and execute multi-year, multi-team technical strategies with measurable business impact
  • Deliver large-scale, high-stakes projects that exceed quality and reliability standards
  • Drive alignment across engineering teams to prioritize impactful customer outcomes
  • Influence technical roadmaps and strategic decisions through sound engineering judgment

    Mentor engineers and foster a strong culture of technical excellence and growth
  • Design, build, and maintain scalable and resilient software architectures
  • Proactively identify, manage, and mitigate technical risks
  • Partner with product teams to align technical trade-offs with customer value
About the Team

The Data Platform Engineering team supports key products and platform components within Moody's Insurance group, including Risk Modeler, Data Bridge, Underwrite IQ, and the Unified Data Store. The team focuses on building scalable and reliable platforms and services across databases, REST APIs, and core platform capabilities, leveraging technologies such as Java, C#, and SQL Server to enable high-quality, data-driven solutions.

For US-based roles only: the anticipated hiring base salary range for this position is $ - $, depending on factors such as experience, education, level, skills, and location. This range…

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