Senior DevOps Engineer (Trading Platform)

Hybrid

Posted over 1 year ago

Engineering

AI summary

The Senior DevOps Engineer will work on building a high-performance Trading Platform, focusing on low-latency execution and robust risk controls, while utilizing tools like AWS, Kubernetes, and modern CI/CD practices for automation and performance optimization.

Eligible from: Unclear

Job Description

The Trading Infrastructure team is building a high-performance, front-to-back Trading Platform that supports multi-asset trading. The platform is designed to handle financial instruments with low-latency execution, robust risk controls, and seamless integration across trading, risk, operations, and finance workflows.

The system is built with a modular architecture encompassing core components such as market data feeds, order gateways, execution algorithms, risk engines, UI dashboards, middle office reconciliation, and account infrastructure. We emphasize event-driven, deterministic system design, real-time observability, and strong security.

Our tech stack includes Java (low-latency), Python, Web UI (React/Ag-Grid), Aeron, ClickHouse, Kubernetes, and modern CI/CD tooling, with a strong focus on automation, scalability, and performance. AI-assisted development tools are also leveraged to boost productivity and quality across the team.

Responsibilities

Design, provision, and maintain scalable infrastructure for our trading systems, including CI/CD pipelines, observability stack, and runtime environments.

Administer and tune databases such as AWS Aurora, PostgreSQL, and ClickHouse.

Automate provisioning and configuration of EC2 and related resources using Ansible and other infrastructure-as-code tools (e.g., Terraform).

Ensure secure, stable environments through proper VPC design, IAM governance, and secret management.

Build and maintain system metrics and alerts using Prometheus, Grafana, and Loki.

Enforce GitHub repo and branching standards across development teams.

Ensure cost-effective infrastructure usage through continuous monitoring, resource optimization, and cost control strategies across AWS and containerized deployments.

Manage backup and disaster recovery procedures for all critical systems.

Collaborate with engineering teams to containerize services and fine-tune runtime performance.

Evaluate and integrate AI/LLM tools to improve automation, diagnostics, and operational efficiency.

Communication & Collaboration

Proficient in English (spoken and written); Chinese or other languages are a plus but not required.

Comfortable working in a global team with colleagues across APAC, EMEA, and North America.

Strong communication skills; able to interface across all levels from senior leadership to engineers and cross-functional stakeholders.

Able to explain complex systems to both technical and non-technical audiences and coordinate effectively across teams with diverse backgrounds.

Requirements

5+ years of DevOps or SRE experience in high-availability, real-time systems.

Strong hands-on experience with AWS services (EC2, VPC, IAM, CloudWatch, RDS) and cost monitoring tools (e.g., AWS Budgets, Cost Explorer).

Skilled in provisioning and config management using Ansible; Terraform experience is a plus.

Proficient in ClickHouse and PostgreSQL; knowledge of kdb+ or InfluxDB is a bonus.

Solid scripting skills (Python, Bash, or equivalent).

Hands-on experience with Docker, Kubernetes, Helm, and deployment automation.

Familiar with monitoring and logging stacks; experience with Prometheus/Grafana is expected.

Security-conscious and experienced in IAM, encryption, and secure system design.

Able to monitor and optimize computing resources to maintain performance within budget constraints.

Comfortable using AI tools for automation, diagnostics, or efficiency gains.

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About the job

Posted on: Jun 11, 2025
Job type: Full-time
Location: Hong KongHybrid

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