smallcase is an investing-platform fintech that lets people invest in curated baskets of stocks and ETFs, and powers investing experiences inside many of India's largest brokers. Headquartered in Bengaluru, smallcase builds the portfolio, rebalancing, broker-integration, and market-data systems that make transparent, thematic investing work across the broking ecosystem. For software engineers who want to work on investing infrastructure, integrations, and market data, smallcase offers focused fintech engineering. This guide covers the interview process, what smallcase looks for, and how to prepare.
The smallcase software-engineering interview process typically runs across 3–4 rounds:
1. Online assessment or resume screen: Most pipelines start with an online coding assessment (data structures and algorithms) or a resume screen for experienced candidates. The bar is solid CS fundamentals and clean code.
2. Technical round 1, DSA and coding (45–60 min): A live coding interview focused on data structures and algorithms: arrays, strings, hashmaps, two pointers, sliding window, trees, graphs, heaps, greedy, and dynamic programming. Be ready to state time and space complexity.
3. Technical round 2, backend and low-level design (60–90 min): A deeper engineering interview. Topics: REST API design, object-oriented and low-level design, database schema design (SQL, indexing, transactions), concurrency, idempotency, and queues. You may be asked to design the data model and classes for a curated-portfolio (smallcase) rebalancing engine, a broker-order-routing flow, or a market-data feature.
4. Investing-infra / high-level design round (mid and senior): A scalable-systems interview grounded in investing infrastructure. Examples: design a portfolio-rebalancing engine that generates orders across many users, design a broker-integration and order-routing layer, or design a market-data ingestion and pricing pipeline. Focus on correctness, integration reliability, and handling market-data scale.
5. Hiring-manager and culture round: A conversation with the engineering manager or leadership. Topics: your past projects and the impact you owned, how you reason about correctness and integrations, why smallcase and investing, and how you handle production pressure. smallcase values engineers who build reliable investing infrastructure.
Based on what is known about smallcase's engineering culture, these qualities tend to stand out:
1. Correctness and integration discipline: smallcase powers investing inside many brokers, so interviewers reward engineers who reason clearly about integration reliability, idempotent order routing, and correctness across systems they do not fully control.
2. Strong backend and data depth: smallcase handles portfolios, orders, and market data, so applied backend skills (API design, transactions, consistency, caching, and queues) carry real weight. Interviewers look for clear reasoning about correctness and scale.
3. Domain awareness for investing infrastructure: Investing infra has distinct problems: portfolio construction and rebalancing, broker integrations, order routing, and market-data ingestion. Showing that you appreciate this complexity differentiates you from candidates who only think about generic apps.
4. Ownership and craft: smallcase values engineers who take end-to-end ownership and care about clean, reliable systems. Being able to talk concretely about a system you owned and its outcome is a strong signal.
Targeted preparation for smallcase software-engineering roles:
1. Sharpen data structures and algorithms: Practise arrays, strings, hashmaps, trees, graphs, heaps, greedy, and dynamic programming. Do timed LeetCode-medium problems, always state time and space complexity, and practise writing correct, edge-case-handled code.
2. Study backend and low-level design: Be fluent in REST API design, object-oriented design, and database design (indexing, transactions, SQL). Practise low-level design problems: a portfolio-rebalancing engine, a broker-order-routing flow, or a market-data feature, including the classes, interfaces, and data model.
3. Prepare investing-infrastructure system design (mid/senior): Study scalable-system building blocks: idempotency, message queues (Kafka), real-time data pipelines, consistency models, and integration patterns. Practise investing systems specifically: a portfolio-rebalancing engine, a broker-integration and order-routing layer, and a market-data ingestion pipeline.
4. Learn the investing-infrastructure domain: Read about how investing platforms and brokers work: portfolio construction and rebalancing, order routing, market data, and broker integrations. Being able to reason about these flows and their correctness requirements in a design round is a clear advantage.
5. Prepare your projects and 'why smallcase' story: Be ready to walk through one or two projects in depth: the problem, your design decisions, trade-offs, and the outcome. Have a genuine answer for why smallcase and investing: the integration challenges, the market-data scale, and building transparent investing.