Systems and Database Engineer | Database Services

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.

Key Responsibilities

• 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.

• Bachelors 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 a 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 or similar).
• 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.

About Susquehanna

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