Staff Software Engineer
Noida, India
- Date de publication
- 11/03/2026
- ID de l'offre
- 15753
- Niveau d'expérience
- Experienced Hire
- Catégorie d'emploi
- Technology, Engineering & AI
- Software Engineering
- Secteur d'activité
- 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.
Skills and Competencies
- 9+ years of hands-on software engineering experience, with a proven track record of delivering complex, high-impact technical initiatives across multiple teams and translating engineering solutions into measurable business outcomes.
- Strong proficiency in C# and C++, including hands-on experience with VC++ and MFC, developing, debugging, and optimizing large-scale enterprise and on-premise software applications.
- Deep understanding of data structures, algorithms, software design principles, architectural patterns, multi-threading, concurrency, memory management, and query processing, with the ability to build highly performant, scalable, reliable, and maintainable systems.
- Experience developing production-quality RESTful APIs, microservices, and distributed systems, along with hands-on knowledge of relational databases such as PostgreSQL, MySQL, SQL Server, or Oracle and NoSQL data stores.
- Experience with Docker and Kubernetes and building solutions that support cloud-native, hybrid, and on-premise deployment models, with strong knowledge of testing strategies, observability, security, software quality, and operational reliability.
- Strong problem-solving, communication, and technical leadership skills, with demonstrated ability to navigate ambiguity, mentor engineers, influence architectural decisions, and drive alignment across distributed and cross-functional engineering teams.
Education
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical discipline.
Responsibilities
- Define and execute multi-year technical strategies that align with business objectives and enable the long-term evolution of enterprise software platforms.
- Lead the architecture, design, development, and delivery of complex software systems using C# and C++, ensuring solutions meet standards for scalability, performance, reliability, security, and maintainability.
- Drive the design and implementation of RESTful APIs, microservices, and distributed systems, supporting cloud-native, hybrid, and on-premise deployment models while addressing complex technical dependencies and requirements.
- Improve application and platform performance by optimizing algorithms, database interactions, memory utilization, concurrency, and query processing, while proactively identifying and mitigating technical and operational risks.
- Collaborate with Product Management, Architecture, DevOps, and Engineering teams to shape technical roadmaps, evaluate trade-offs, and prioritize initiatives that maximize customer and business value.
- Provide technical leadership and mentorship across engineering teams, championing best practices in code quality, testing, security, observability, documentation, operational excellence, and continuous improvement while communicating clear technical recommendations that build stakeholder alignment.
About the Team
Our engineering team develops innovative software products and analytics platforms that power critical risk assessment and decision-making solutions for global customers. You will work on complex engineering challenges spanning large-scale data processing, distributed systems, advanced analytics, and mission-critical enterprise applications across cloud-native and on-premise environments.
As part of the team, you will collaborate with experienced engineers and cross-functional partners to build highly performant, scalable, and reliable solutions. You will have the opportunity to influence technical direction, advance platform capabilities, and deliver technology solutions that create meaningful customer and business impact.
Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion or creed, national origin, ancestry, citizenship, marital or familial status, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, military or veteran status, or any other characteristic protected by law.
Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
For more information on the Securities Trading Program, please refer to the Securities Trading Policy on Moody’s Compliance Expo page
Please note: STP categories are assigned by the hiring teams and are subject to change over the course of an employee’s tenure with Moody’s.
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