L #2781
Applications open
Full-Time Job
Associate Software Engineer
Moody's Corporation
About the role
Skills And Competencies
- 1–3 years of backend development experience with strong programming skills in Python and hands-on experience with FastAPI.
- Experience developing REST APIs and cloud-based applications using AWS, with exposure to services such as Lambda, CloudWatch, and ECR.
- Working knowledge of Docker, Kubernetes, SQL, and cloud-native databases for building and supporting scalable backend applications.
- Basic understanding of AI/GenAI and Large Language Models (LLMs), with exposure to LLM APIs, prompt engineering, Retrieval-Augmented Generation (RAG), or AI-enabled applications.
- Good understanding of software engineering practices, including testing, troubleshooting, application reliability, and Agile/Scrum development.
- Strong analytical, problem-solving, communication, and collaboration skills, with an eagerness to learn new technologies and work within globally distributed teams.
Education
- Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related technical discipline, or equivalent professional experience.
- Responsibilities
- Develop and maintain scalable backend services and REST APIs using Python and FastAPI.
- Build and support cloud-native solutions using AWS, including services such as Lambda, CloudWatch, and ECR.
- Develop and deploy containerized applications using Docker and Kubernetes and support SQL and cloud-native database integrations.
- Contribute to AI/GenAI-enabled applications and services, including integrations with LLMs and other AI capabilities.
- Troubleshoot application issues and improve service performance, reliability, maintainability, and overall code quality.
- Collaborate with engineering teams across India and the US through Agile/Scrum practices and contribute to continuous engineering improvements.
About The Team
The Banking Platform team builds reusable, scalable backend services and APIs that support multiple banking applications. You will collaborate with engineering teams across India and the US to develop modern, cloud-native solutions using Python, FastAPI, AWS, and container technologies.
The team is also exploring AI and Generative AI capabilities, providing opportunities to gain experience with LLM-powered applications and emerging AI technologies while building your backend engineering expertise.
Eligibility & process
Who can apply
Employment type: Full-time
Skills & stack
Selection process
Details are shared by the recruiter after shortlisting.
Prep kit
20 resourcesStudy material 4
Aptitude Practice Questions & Mock Tests
Curated logical, quantitative, and verbal reasoning problems for the initial online screening round.
Company-Specific Interview Preparation Corner
Detailed interview experiences, exam formats, and previous test questions for Moody's Corporation and tech roles.
Technical Placement Question Bank
High-yield coding cheat sheets, core CS fundamentals (OOP, DBMS, OS, Networks), and rapid revision guides.
Algorithm, DSA & Live Code Debugger Practice
Hands-on problem sets to improve coding speed and step-by-step memory debugging.
Company-specific guides 4
APTITUDE & LOGIC
Aptitude Practice Questions & Online Mock Tests
Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.
COMPANY GUIDE
Moody's Corporation Interview Preparation Corner
Comprehensive guide covering typical interview formats, common questions, and preparation tips for Moody's Corporation and off-campus tech roles.
MOCK TESTS & PAPERS
Comprehensive Interview Prep Resources & Syllabus
Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.
CODING PRACTICE
Algorithm and Data Structure Problem Set
Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.
Likely coding questions 4
Round-wise strategy 4
Round 1: Online Assessment (OA)
Aptitude, Quantitative Logic & 2 Coding Problems
Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1
Core Tech Stack (Python, SQL, FastAPI, REST APIs, AWS, Docker, Kubernetes, Generative AI / LLMs) & Live Code Tracing
Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving
Database Schemas, APIs & Architecture Basics
Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion
Moody's Corporation Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
Technical questions 5
What is the difference between WHERE and HAVING clauses in SQL? Answer
Model answer: WHERE filters rows before any groupings are applied, while HAVING filters aggregated groups after GROUP BY has executed.
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer
Model answer: ROW_NUMBER() assigns unique sequential integers. RANK() assigns identical ranks to ties and skips ranks. DENSE_RANK() assigns identical ranks to ties without skipping rank numbers.
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer
Model answer: Use .isna().sum() to identify missing values. Impute with mean/median using .fillna() or remove with .dropna(subset=[...]) depending on variance impact.
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer
Model answer: Star Schema has denormalized dimension tables directly connected to the central Fact table. Snowflake Schema normalizes dimension tables into sub-dimensions to minimize redundancy.
How do you calculate MoM (Month-over-Month) growth in SQL? Answer
Model answer: Use LAG(revenue, 1) OVER (ORDER BY month) to fetch the previous month's revenue and compute (revenue - prev_revenue) / prev_revenue * 100.
Behavioural & HR questions 3
Why do you want to join Moody's Corporation as a Associate Software Engineer?
Highlight Moody's Corporation's market reputation, recent tech innovations, and how your skills in Python directly solve their team's objectives.
Highlight Moody's Corporation's market reputation, recent tech innovations, and how your skills in Python directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
Competitive Package
Bengaluru, India
Employment type: Full-time
