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Backend Engineer (SDE II) - India

Syfe

  • Gurugram, India
  • Competitive Package
  • 3-5 Years
  • Posted Yesterday
HR
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No public email in this post. Use a source-linked contact instead.

About the role

Syfe is APAC's largest and fastest-growing digital wealth platform, trusted with over US$10 billion in assets. We are fundamentally changing how hundreds of thousands of people across Asia-Pacific build wealth through a holistic approach to managing money rather than just pushing investment products. Backed by world-class investors and recognised as a leader in wealthtech, we are a team of passionate builders creating the future of wealth management.

The Right Profile

We are seeking a Backend Engineer to develop and own state of the art products that help bring people closer to their financial goals. As we build and scale Syfe over the next few years, our product and engineering team is growing and it is the perfect time to join the team at an early stage and create an impact within and outside the organisation.

Key Responsibilities

  • Take ownership of new products and features.
  • Contribute to the design and architecture of our backend APIs and fund management system.
  • Ensure adherence to engineering best practices and maintain the overall quality of our codebase.
  • Mentor and assist younger members of the team and perform code reviews.
  • Work with the product team to translate powerful ideas into everyday business value.

Minimum Qualifications

  • 4+ years of professional software development experience
  • Firm grasp of at least one programming language
  • Experience with distributed systems is a plus
  • Curiosity about how things work
  • Problem-solving skills, analytical mind, and positive attitude.

Come As You Are

We believe in the power of diversity and are dedicated to creating a welcoming and innovative environment for all our employees. So we embrace and encourage applications from candidates of all backgrounds and provide equal employment opportunities for all.

Due to the volume of applications, we regret that only shortlisted candidates will be notified.

Eligibility & process

Who can apply

Employment type: Full-time

Skills & stack

Next.js Distributed Systems Data Structures & Algorithms Python/Java System Design SQL REST APIs Docker

Selection process

Details are shared by the recruiter after shortlisting.

Prep kit

20 resources
Study material 4
Company-specific guides 4
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 (Next.js, Distributed Systems, Data Structures & Algorithms, Python/Java, System Design, SQL, REST APIs, Docker) & 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 Syfe 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 Syfe as a Backend Engineer (SDE II) - India?
Highlight Syfe's market reputation, recent tech innovations, and how your skills in Next.js 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).
How do you handle strict deadlines or sudden scope changes?
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
Syfe Competitive Package
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