About the role

You will work on Mor Platform, our in-house trading platform built around real-time market data streams and real time trading infrastructure. You will design and develop latency-critical, scalable applications from scratch.

You will own services end to end — design, implementation, deployment and production behaviour. We are a small, senior team, so there is no layer between you and the decisions that matter. What you'll work on

Live Price Feed — a high-concurrency WebSocket service streaming LTP and full quotes to mobile apps, built on an event-loop model rather than goroutine-per-connection.

Tracker — a real-time alerting engine evaluating user-defined conditions on stocks, F&O; contracts and multi-leg strategies, with a sub-500 ms p99 tick-to-alert budget.

Multicast Parser — decoding raw exchange multicast (market watch, depth, OI, market status, DPR) across four segments and publishing normalised events onto the message bus.

Charts — tick by tick storage and 1m / 1h / 1d / 1w candle aggregation over a time-series store.

Search — low-latency instrument search across the full tradable universe, rebuilt daily.

Trading Engine — a low-latency, fault-tolerant and scalable trading engine. What you'll do

Design and build latency-sensitive Go services where the hot path is measured in microseconds, not milliseconds.

Write correct concurrent code: goroutine lifecycle management, channel and lock discipline, atomics, backpressure, and avoiding O(subscribers) work per tick.

Profile and optimise real workloads — allocation pressure, GC behaviour, lock contention,



serialization cost — using pprof and production telemetry rather than guesswork.

Own deployment and operability: containers, CI/CD, rollout and rollback, structured logging, metrics and tracing.

Reason about failure explicitly — what happens on a bus outage, a node restart, a bad message, or an exchange reconnect — and build recovery paths that don't require a human.

Participate in design reviews where alternatives are argued on merit and trade-offs are written down. What we're looking for

Required

3+ years building backend services in production, with meaningful depth in Go.

Solid, practical grasp of concurrency — race conditions, memory visibility, channel semantics, context cancellation, worker pools and backpressure.

Solid networking fundamentals: TCP/UDP, sockets, WebSocket, HTTP semantics, TLS, connection lifecycle, and how these behave under load.

Hands-on deployment experience — Docker, CI/CD pipelines, and running services in a cloud environment (AWS preferred).

Observability as a habit: you instrument what you build and can debug a live production issue from metrics, logs and traces.

Working knowledge of relational databases and query performance. Strong plus

Experience with market data, trading systems, or any high-throughput low-latency domain (telemetry, gaming, streaming).

Exposure to NATS, Kafka, or similar messaging systems.

Multicast / UDP protocol handling and binary parsing.

Protobuf or other binary serialization formats.

PostgreSQL, MongoDB, Elasticsearch, TimescaleDB, or time-series data modelling.

ECS, Kubernetes, or infrastructure-as-code.

📌 Backend Developer - Go (Bengaluru)
🏢 Neo Wealth and Asset Management
📍 Bengaluru