Staff Software Engineer

Moody's Corporation; Newark (NJ); On-site; USD 168,000 - 244,000; Full time

Job summary

Moody's Corporation seeks a senior software engineering leader to guide the design and delivery of large-scale technical programs across multiple teams. You will shape multi-year technical strategies, deliver high-stakes projects, and ensure production-grade quality for cloud-native platforms including RESTful APIs and microservices.

The role requires deep knowledge of data structures, algorithms, and scalable architectures, with hands-on experience in Java/Scala/C#/C++/Python, and a strong

Qualifications

• 8+ years of hands-on experience delivering high-impact technical programs across multiple teams.
• Proficiency in Java, Scala, C#, C++, or Python.
• Experience with relational databases (PostgreSQL, MySQL, SQL Server, Oracle) and NoSQL data stores.
• Track record of building production-grade RESTful APIs and microservices.
• Experience developing cloud-native applications with Docker and Kubernetes, plus on-prem solutions.
• Strong grasp of data structures, algorithms, and complexity analysis.

Responsibilities

• Lead design and delivery of large-scale technical solutions across multiple teams.
• Define and execute multi-year, multi-team technical strategies with measurable impact.
• Deliver large-scale projects meeting quality and reliability expectations.
• Align engineering with highest-impact customer outcomes and drive technical roadmaps.

Skills

Java

Scala

C#

C++

Python

RESTful APIs

Multithreading

Data structures

Education

Bachelor's or Master's in CS/Engineering

Tools

Docker

Kubernetes

PostgreSQL

MySQL

SQL Server

Oracle

Job description

Salary: $168,100 - 243,700 per year

Requirements:

• We need 8+ years of hands‑on experience delivering high‑impact technical programs across multiple teams.
• We need strong proficiency in Java, Scala, C#, C++, or Python.
• We need experience with relational databases such as Postgres, MySQL, SQL Server, or Oracle, as well as NoSQL data stores.
• We need a track record of building production‑grade RESTful APIs and microservices.
• We need experience developing cloud‑native applications with Docker and Kubernetes, along with on‑premises solutions.
• We need a strong grasp of data structures, algorithms, and complexity analysis.
• We need solid knowledge of software design principles and the ability to write maintainable, well‑tested code.
• We need advanced knowledge of multithreading, memory management, and query processing.
• We need a focus on scalability, availability, reliability, security, and cost‑efficient execution.
• We need strong problem‑solving ability, resilience, and adaptability in fast‑moving environments.
• We need expertise in testing approaches and maintaining overall system health.
• We value demonstrated familiarity with AI concepts and hands‑on use of tools such as Copilot, Claude, and ChatGPT to improve workflows and efficiency.
• We need a bachelors or masters degree in Computer Science, Engineering, or a related field, or equivalent professional experience.
• We require employment eligibility to work in the United States, and we will not pursue visa sponsorship for this role.

Responsibilities:

• We lead the design and delivery of complex, large‑scale technical solutions while shaping strategy and driving meaningful outcomes across multiple teams.
• We define and execute multi‑year, multi‑team technical strategies with measurable business impact.
• We deliver large‑scale, high‑stakes projects that meet or exceed quality and reliability expectations.
• We align engineering teams around the highest‑impact customer outcomes.
• We influence technical roadmaps and strategic decisions using sound engineering judgment.
• We mentor engineers across teams and help build a culture of technical excellence and growth.
• We design, build, and maintain scalable, resilient software architectures.
• We lead change management efforts and operate effectively in ambiguous situations.
• We balance near‑term delivery needs with long‑term platform sustainability.
• We proactively identify, manage, and reduce technical risks.
• We communicate clear technical narratives to influence senior stakeholders.
• We partner closely with product teams to align technical trade‑offs with customer value.
• We lead technical discussions, architecture reviews, and documentation efforts.

Technologies:

• AI
• C#
• ChatGPT
• Cloud
• Copilot
• Docker
• Support
• Java
• Kubernetes
• MySQL
• NoSQL
• Oracle
• Python
• REST
• SQL
• Scala
• Security
• microservices

More:

We are Moodys Corporation, working with hackajob to connect with exceptional professionals for this opportunity. We bring together talented people to turn todays risks into tomorrows opportunities, fostering an inclusive environment where ideas are shared openly and diverse perspectives are welcomed. As a global leader in ratings and integrated risk assessment, we are advancing AI to help transform insight into action and support our clients with clarity, speed, and confidence. This role sits within our Data Platform Engineering team, supporting key products and platform components in our Insurance group, including Risk Modeler, Data Bridge, Underwrite IQ, and the Unified Data Store. The team focuses on building scalable, reliable platforms and services across databases, REST APIs, and core platform capabilities using technologies such as Java, C#, and SQL Server. For US‑based roles, the anticipated base salary range is $168,100 to $243,700, with eligibility for incentive compensation. We also offer a competitive benefits package that includes medical, dental, vision, parental leave, paid time off, a 401(k) plan with employer and employee contribution opportunities, life, disability, and accident insurance, a discounted employee stock purchase plan, and tuition reimbursement.

last updated 40 week of 2026