L #2502
Applications open
Full-Time Job
Software Engineer
CredHive
About the role
We are a seed-funded startup using state-of-the-art AI technologies to reimagine how businesses access credit information, risk intelligence, and due diligence. Our product is live with early customers, and our team includes engineers with experience at leading technology companies. We are looking for a Software Engineer, Platform to build the core customer platform that powers our applications.
This role sits between backend engineering and product infrastructure. You will build core systems that make our data reliable, observable, and easy to consume so that internal teams and customers can build applications and workflows on top of it.
The ideal candidate has 1-2+ years of software engineering experience with a strong background in Python, backend systems, APIs and AWS. Having experience in Typescript and React is a bonus.
Key Responsibilities
- Platform Development: Build reusable platform services and abstractions that allow product teams to quickly build new applications and workflows.
- Data Access: Build reliable interfaces and services that make large, complex datasets easy to query, consume, and integrate into downstream products.
- Backend Systems: Design and develop scalable services using Python.
- APIs & Integrations: Build well-designed internal and external APIs for customers, partners, and product teams.
- Reliability & Performance: Identify bottlenecks, failures, and data-quality issues across workflows and improve system resilience and performance.
Qualifications
- 1-2+ years of professional software engineering experience, particularly in backend or full stack engineering.
- Strong programming experience in Python. Ideally some experience in Typescript.
- Strong experience designing and building RESTful APIs and backend services.
- Experience with PostgreSQL, SQL/NoSQL databases, and data modeling.
- Experience with AWS and production cloud applications.
- Strong understanding of observability, monitoring, logging, and debugging complex systems.
Nice to Have
- Experience building data platforms, developer platforms, or API-first products.
- Experience with Redis, SQS/Kafka, OpenSearch/Elasticsearch, or similar technologies.
- Experience working in an early-stage startup environment.
Eligibility & process
Who can apply
Seniority: Associate. 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 CredHive 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
CredHive Interview Preparation Corner
Comprehensive guide covering typical interview formats, common questions, and preparation tips for CredHive 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, TypeScript, SQL, React, REST APIs, PostgreSQL, Redis, Elasticsearch) & 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
CredHive 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 CredHive as a Software Engineer?
Highlight CredHive's market reputation, recent tech innovations, and how your skills in Python directly solve their team's objectives.
Highlight CredHive'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
Delhi NCR, India
Seniority: Associate. Employment type: Fu…
