Backend Engineer

We’re looking for a passionate Backend Developer to join our growing engineering team. You'll be working on scalable backend systems, collaborating with cross-functional teams, and shipping real products used by thousands of users.

Key Responsibilities:

• Build and maintain the core engine: pricing / market-making, order books and matching,execution, and inventory-risk controls.
• Research, prototype, and productionize quantitative logic for pricing, order-flow signals,and risk management.
• Develop simulation and backtesting frameworks; run parameter sweeps and evaluateperformance against historical and synthetic order flow.
• Implement the real-time delivery path (WebSocket fan-out) and authoritative data-feedingestion, with strict stale-data safety.
• Contribute to the money-grade double-entry ledger and the settlement flows that dependon it.
• Define and monitor key risk and performance metrics, and instrument the system so theyare observable in real time.
• Write correctness-critical, deterministic, well-tested code — with attention to numericalprecision and edge cases — and keep a reference test suite green in CI.
• Collaborate across engineering, product, and infrastructure to take work from spec toproductioninistic, test-covered code.

Requirements

• Strong backend engineering and computer-science fundamentals: data structures,algorithms, concurrency, and performance/latency awareness.
• Proficiency in Python / TypeScript / Node.js — or strong adjacent experience and theappetite to be fully productive in TypeScript
• A solid quantitative foundation: probability, statistics, and numerical methods.
• Experience with relational databases (PostgreSQL) and event-driven or streamingarchitectures.
• A habit of proving correctness with tests, and a fail-safe mindset — when something iswrong or unverified, stop rather than continue wrongly.
• Clear communication with both technical and non-technical stakeholders.
• Experience in trading, market-making, exchanges, derivatives/options pricing, or predictionmarkets.
• Knowledge of market micro-structure, order-book dynamics, execution, and adverseselection.
• Low-latency / real-time systems, WebSockets at scale, and event sourcing / CQRS.
• Double-entry ledger or payments-platform experience.
• Cloud at production scale (AWS EKS / RDS), Terraform, and observability (Datadog /Sentry).
• Simulation / backtesting experience and statistical rigour about what a result does and doesn't mean.

Benefits

• In addition to a market competitive compensation, we have a reward philosophy that expand beyond this.
• Fully remote
• Opportunity to work with a truly global team
• Flexible timings. You decide your work schedule

Originally posted on Himalayas