Senior DevOps Engineer
at Crypto
Singapore, hybrid, senior, full time, 5+ years
posted 20 Jun 2025
- RDS
- ClickHouse
- Loki
- PostgreSQL
- VPC
- Prometheus
- Bash
- Grafana
- IAM
- Terraform
- Docker
- EC2
- CloudWatch
- Ansible
- CI/CD
- Helm
- AWS
- Python
- Kubernetes
About the role
Posted: 2025-06-20
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.
What you would do
- 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.
What they are looking for
Read from jobs.lever.co, last seen 1d ago.