[1323]Golang Back end Developer (Middle/Senior)

Job Details

• Develop and maintain backend services written in Golang, handling both RESTful APIs and WebSocket connections.
• Integrate with the securities core system via secure APIs, performing request validation and JSON data transformations.
• Implement caching, session management, and audit logging using Redis and PostgreSQL.
• Serve mobile/web clients with real-time streaming: build and optimize WebSocket fan-out, connection lifecycle, back-pressure, and per-symbol/topic subscriptions (target tick→screen ≤120 ms).
• Build and maintain a Push Notification pipeline for trade/funds events, price alerts, and system notifications (FCM/APNs), including token lifecycle, rate limiting, retries, and delivery analytics.
• Ensure high performance and reliability (target: ≤300 ms API latency, 1000 req/s throughput).
• Collaborate with mobile, frontend, AI, QA, and infrastructure teams for end-to-end delivery.
• Participate in CI/CD pipelines and blue-green deployments to ensure stable releases.
• Monitor and troubleshoot system performance using ELK, Prometheus, and Grafana.

• Design and optimize market data streaming services to handle UDP multicast / TCP feeds from stock exchanges or vendors (Level 1 & 2 data).
• Implement low-latency pipelines for parsing, normalizing, and publishing data to downstream WebSocket or cache layers (< 120 ms tick-to-screen).
• Handle packet loss recovery, sequencing, and deduplication for real-time data consistency.
• Contribute to scalability and fault-tolerance strategies for high-volume, high-availability systems.
• Own high-throughput notification services: batch/priority queues, idempotency keys, collapse keys, and secure payload signing; dashboard delivery metrics using Prometheus/Grafana.

Job Requirements

• 3+ years of backend development experience, including at least 2 years in Golang.
• Strong grasp of HTTP, WebSocket, and concurrency (goroutines, channels).
• Experience with PostgreSQL, Redis, and structured JSON data handling.
• Familiar with containerization (Docker) and Kubernetes deployment.
• Knowledge of secure API design (TLS, OAuth2/JWT) and microservice architecture.
• Experience building real-time APIs for mobile (WebSockets, SSE) and integrating push notification systems (FCM/APNs).
• Comfortable with logging, monitoring, and CI/CD tools (e.g., GitHub Actions, Jenkins).

Nice-to-Have / Bonus

• Experience in fintech, securities, or real-time trading platforms.
• Familiarity with market data ingestion (UDP/TCP streaming, Kafka, or NATS).
• Understanding of performance benchmarking (latency, throughput, memory profiling).
• Background in on-prem / hybrid infrastructure or regulated financial environments.
• Experience with blue-green deployment and horizontal scaling in Kubernetes.
• Previous work on price-alert systems and notification history in trading or banking apps.