About this role
Job title: Database Engineer - Production Services
About the Role Our Production Services Team is looking for a skilled engineer with a strong foundation in database technologies and systems engineering — not a traditional DBA, but someone who understands how databases fit into broader system architecture and can collaborate across disciplines to drive performance, reliability, and scalability. This role is part of a front office support team, focused on application database engineering for trading platforms and directly supporting traders in a high-performance, low-latency environment.
What You'll Do
- Design, deploy, and maintain relational and non-relational database systems at scale (hundreds of millions to billions of records, TB-scale datasets), including MariaDB, MongoDB, InfluxDB, and ClickHouse.
- Optimize query performance through advanced indexing strategies, execution plan analysis, and schema design.
- Develop Python tooling and automation to support database operations, maintenance workflows, and system health.
- Ensure high availability and reliability through replication, failover design, and disaster recovery planning.
- Operate confidently in production environments — diagnosing and resolving time-sensitive issues with composure and precision.
- Manage and scale containerized database workloads using Kubernetes, including ClickHouse deployments.
- Monitor system health using observability tooling and proactively address performance degradation.
- Collaborate with developers, researchers, and platform engineers to support data-intensive applications.
- Apply AI tooling and best practices to accelerate engineering workflows.
What We're Looking For
- Bachelor’s degree in Computer Science, Information Systems, or a related field — or equivalent practical experience.
- 1-5 years of experience in database engineering, systems engineering, or a related discipline.
- Strong proficiency in SQL and deep working knowledge of relational databases — complex query manipulation, indexing, partitioning, replication, and high availability.
- Solid Python development skills — able to write production-quality scripts and tooling, not just one-off automation.
- Good understanding of Kubernetes — deploying, managing, and debugging containerized workloads.
- Strong Linux fundamentals — shell scripting, process management, system monitoring, and core command-line fluency.
- Comfort operating in production environment — you handle pressure well and take ownership of reliability.
- Working knowledge of AI tools and best practices for engineering workflows.
Nice to Have
- Graph database experience (e.g., Neo4j)
- Oracle database experience
- ProxySQL configuration and routing experience
- Infrastructure-as-code experience with Terraform
- Familiarity with Prometheus and Grafana for observability and alerting
- Prior experience in a production or trading environment
Compensation & Benefits
- Salary not disclosed