Moody's Hiring Associate Programmer Analyst in Gurugram | Software Engineering

Job Overview

Moody’s is hiring an Associate Programmer Analyst (Software Engineer) for its Technology, Engineering & AI organization in Gurugram, India. The role is part of the Data Estate line of business and focuses on backend engineering, cloud-native applications, and AI-powered features for intelligent data products.

The selected candidate will work on backend services, APIs, and data or inference pipelines for defined product features. The position combines software engineering fundamentals with practical exposure to large language model applications, machine learning operations, and cloud deployment practices.

Key Responsibilities

• Design, build, test, and support backend services and AI-enabled features for intelligent data products.
• Develop backend services, application programming interfaces, and data or inference pipelines for well-scoped features, with guidance from senior engineers.
• Take assigned tasks through deployment and support, including production monitoring and resolution of technical issues.
• Contribute to design and code reviews, suggest implementation options, follow engineering standards, and raise risks or unclear requirements early.
• Apply machine learning operations practices such as prompt versioning, automated evaluation, deployment pipelines, root cause analysis, and follow-up improvements.
• Work with product managers and engineers to break down problems, estimate work, and deliver assigned tasks reliably.
• Respond constructively to code review feedback and collaborate with the wider engineering team.

Required Skills and Competencies

• Software engineering experience: 1–2 years of experience designing, coding, testing, and deploying backend services or cloud-native applications.
• Programming: Solid coding proficiency in either Python or C#.
• Backend development: Experience building APIs and microservices, with a working understanding of distributed systems concepts.
• Generative AI: Hands-on exposure to LLM applications, including RAG, prompt engineering, or agentic workflows, and an interest in developing deeper expertise.
• Cloud platforms: Working knowledge of at least one of Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure.
• Deployment: Experience deploying applications through automated pipelines.
• Databases: Experience with relational and NoSQL databases, including PostgreSQL, MongoDB, and Redis.
• Additional technical areas: Familiarity with vector databases, observability tools, and event-driven patterns.
• Artificial intelligence: Demonstrated understanding of AI concepts and practical use of AI tools to improve workflows and operational efficiency.

Education

A bachelor’s degree in Computer Science, Information Systems, Engineering, or a related technical field is required.

Experience

Candidates should have 1–2 years of software engineering experience, particularly in backend services or cloud-native applications, including design, coding, testing, and deployment.

Technologies and Technical Concepts

• Python or C#: The role accepts solid coding proficiency in either language.
• APIs and microservices: Backend application interfaces and service-based application development are central to the work.
• Distributed systems: A working understanding of distributed systems concepts is expected.
• Large Language Models (LLMs): Practical exposure to LLM-based applications is required.
• Retrieval-Augmented Generation (RAG), prompt engineering, and agentic workflows: At least one of these application approaches should be familiar from hands-on exposure.
• Cloud platforms: AWS, Google Cloud Platform, or Microsoft Azure are listed as accepted platforms.
• Databases: PostgreSQL, MongoDB, and Redis are specifically named.
• Automated pipelines and MLOps: Deployment pipelines, prompt versioning, automated evaluation, monitoring, and root cause analysis form part of the engineering responsibilities.
• Vector databases, observability, and event-driven patterns: Familiarity with these areas is preferred as part of the broader technical environment.

Work Mode and Location

The job is based in Gurugram, India. The supplied posting does not specify whether the role is onsite, hybrid, or remote, so the work mode is set to the SoftoJobs default of onsite.

About the Team

The Digital Content and Innovation team develops intelligent data products and AI-enabled capabilities. The role contributes to this work through backend engineering and AI-related features. The posting notes that additional team details and company contribution statements may be added before publication.

Who Should Apply

This opportunity is suitable for candidates with one to two years of relevant software engineering experience and a bachelor’s degree in Computer Science, Information Systems, Engineering, or a related technical discipline. Applicants should be comfortable with Python or C#, backend APIs, microservices, cloud platforms, and relational or NoSQL databases. Practical exposure to LLM applications and AI development workflows is also important.

How to Apply

Submit your application through the official Moody’s careers page for job reference 15481.

Apply now through SoftoJobs to explore this opportunity.