Senior Backend Engineer

NOGLE GLOBAL PTE. LTD.; Singapore; On-site; SGD 150,000 - 210,000; Full time

Job summary

NOGLE GLOBAL PTE. LTD. seeks a seasoned Backend Engineer to build high-performance, cloud-native infrastructure for research, trading, and data pipelines.

You will enable real-time data ingestion and processing in a high-uptime, low-latency trading environment, leveraging Go and distributed systems. A strong operational mindset and production-grade design are essential. You will work with trading, infrastructure, and data teams to design fast, reliable systems, focusing on observability,

Qualifications

• 5+ years of backend development in production-grade systems with distributed, high-availability or high-throughput environments.

Responsibilities

• Lead the design and development of robust high-performance, cloud-native backend systems using Go that support real-time data processing and low-latency workflows.
• Drive engineering excellence through code quality, best practices, and mentorship of other team members.
• Utilize AI-assisted and agentic development workflows to accelerate delivery while owning quality, correctness, performance, and maintainability.

Skills

Go

Distributed systems

Concurrency

Performance optimization

Microservices

Cloud-native

Docker

Kubernetes

REST/gRPC

CI/CD

Observability

Tools

PostgreSQL

Redis

Kafka/Redpanda

TimescaleDB/ClickHouse

Terraform

Job description

Job Overview

We are seeking a seasoned BackendEngineer to help build high-performance, cloud-native infrastructure to supportour research, trading, and data pipelines. This role is crucial to enablingreal-time data ingestion and processing workflows, and ensuring our systems canmeet the demands of a high-uptime, low-latency trading environment.The ideal candidate brings deepproduction experience with Go and modern distributed systems, or comparabledepth in other backend languages. They have extensive experience inproduction-grade system design and a strong operational mindset. You will workclosely with trading, infrastructure, and data teams to design and maintainsystems that are fast, reliable, and observable.This is a critical position at thetechnical core of the firm, ideal for individuals who thrive in fast-movingenvironments and care deeply about performance, robustness, and continuousimprovement

Responsibilities

• Lead the design and development of robust high-performance,cloud-native backend systems using Go that support real-time data processingand low-latency workflows.
• Drive engineering excellence through code quality, best practices, andmentorship of other team members.
• Make effective use of AI-assisted and agentic development workflows toaccelerate delivery, while taking full ownership of the quality, correctness,performance, and maintainability of the resulting code.
• Work closely with trading, product, and infrastructure teams tounderstand system requirements and deliver performant solutions.
• Take ownership of production services, ensuring reliability,observability, and performance tuning. Optimize systems performance and ensuresystem stability, reliability, and security.
• Contribute to infrastructure automation and CI/CD improvements tosupport rapid deployment and operational agility.
• Conduct in-depth code reviews, lead technical discussions, andinfluence engineering culture and standards.
• Implement automated testing, CI/CD pipelines, and participate in codereviews and design discussions.
• Deploy and manage services leveraging cloud-native tools and bestpractices
• Monitor, debug, and troubleshoot production systems and be a part ofthe on-call incident response team in a high-uptime environment.

Requirements

Must Have

• 5+ years of backend development experience building and supportingproduction-grade systems, with strong experience in distributed,high-availability, and/or high-throughput environments.
• 3+ years professional experience building and operating productionsystems in Go, or a deep professional backend engineering background combinedwith experience using agentic development workflows.
• Strong knowledge of concurrency, memory management, performance, andoptimization, with the ability to apply these principles effectively toGo-based systems.
• Experience leading large-scale system design and mentoring engineers onengineering best practices.
• Proven track record of designing and deploying microservicearchitectures in high-availability, high-throughput environments.
• Solid understanding of message queues, event-driven architectures, andasynchronous processing.
• Strong understanding of networking data transmission protocols (TCP,UDP, WSS, etc.) and of service-to-service API design with REST/gRPC.
• Experience building and deploying cloud-native applications.
• Familiarity with containerization technologies (Docker) andorchestration engines (e.g., ECS, Kubernetes).
• Proficiency with message brokers (e.g., Kafka, Redpanda) anddistributed systems.
• Knowledge of data storage technologies such as PostgreSQL, Redis, andtime-series databases like ClickHouse or TimescaleDB.

Nice to Have

• Knowledge of Rust, C++, Python, particularly in data-intensive orperformance-sensitive applications.
• Familiarity with infrastructure-as-code tools (e.g., Terraform,CloudFormation).
• Experience deploying and operating production systems on public cloudplatforms such as AWS, GCP, or Azure.
• Experience with observability tools (e.g., Prometheus, Grafana,OpenTelemetry).
• Background in crypto, high-frequency trading, or real-time market datasystems.
• Knowledge of crypto exchanges market data and order routing protocols
• Contributions to open-source projects or a strong technicalblog/portfolio.