Trading Systems Operations Engineer

3 days ago


Singapore MENRVA PTE. LTD. Full time

**About the Company**
My client is a recognized investment firm known for its data-driven approach, technology-first culture, and high-performance trading systems. With a global presence, the firm deploys sophisticated quantitative strategies in public markets and relies on strong technology teams to maintain its edge in execution and risk management. You'll be part of a fast-paced, agile team building mission-critical software for trading and portfolio optimization.

**About the Role**
We are looking for an experienced engineer to support and scale systematic operations infrastructure. This role sits at the intersection of portfolio management, technology, and operational excellence. You will work directly with investment teams to build reliable, automated, and risk-reducing systems for strategy monitoring, trade workflows, and post-trade operations.

**Responsibilities**
- Develop and maintain scalable platforms for trading strategy monitoring, reporting, and operational workflows
- Implement automation to reduce manual intervention across trade lifecycle processes
- Collaborate closely with portfolio managers to enhance reliability and risk mitigation
- Streamline development, deployment, and alerting infrastructure to ensure platform stability
- Provide operational support for mission-critical systematic trading systems

**Technical Qualifications**
- High proficiency in hands-on development experience in Python
- 6+ years of experience with CI/CD tools such as TeamCity, Jenkins, Octopus Deploy, or ArgoCD
- Strong experience working in Linux/Unix environments
- Solid SQL knowledge; experience with PostgreSQL or other relational databases
- Ability to gather and translate portfolio management requirements into technical solutions

**Preferred Skills and Experience**
- Experience supporting low-latency, high-availability trading systems
- Familiarity with electronic trading and financial market structures (equities, futures, FX)
- Knowledge of distributed system design; backend experience in Java, C++, Go, Scala, or C#
- Experience with Apache Kafka (Confluent or standard)
- Proven ability to automate software development lifecycle (SDLC) pipelines
- Exposure to containerization (Docker) and orchestration (Kubernetes)
- Experience working within notable cloud infrastructure providers technologies
- Contributions to open-source projects is a plus



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