Bloomberg is the industry standard for financial data. Bloomberg's software solutions depend on robust data infrastructure to provide clients with this data. Our team is designing the next generation systems for managing this crucial infrastructure. Our ability to provide a DBaaS (Database as a Service) platform is critical to our clients’ ability to retrieve and analyze massive quantities of data. Ensuring our services scale, are robust, secure, high-performing, and reliable is where you come in.

The Oracle Infrastructure team, part of Bloomberg’s Database Engineering organization, builds the self-service infrastructure that enables engineers to effectively manage relational databases. Our mission is to be like a cloud provider that’s optimized for Bloomberg Engineering's development needs. We are responsible for the infrastructure used to manage hundreds of Oracle database instances. To support this scale, we are recreating our database platform with a focus on security, performance, high availability, and self-service. Our work sits at the intersection of infrastructure, developer experience, and data architecture, giving us unique visibility into Bloomberg’s broader engineering landscape. We define database development best practices and leverage our collective experience to influence Bloomberg’s database architecture design decisions.

We are looking for a database expert with deep Oracle experience who also enjoys writing software and building automation. Someone who understands Oracle internals, performance tuning, and high availability architectures, and you believe in automating infrastructure and making things efficient where possible. We are ideally looking for someone who is comfortable in writing production-quality code and debugging issues that span database, application, and infrastructure layers.

We’ll expect you to:

• Build Oracle focused automation to manage at scale database configuration, version management, and push-button deployment.
• Automate the configuration and testing of Oracle high availability and disaster recovery solutions.
• Build backend tooling and services (Java/Python) that integrate with managed on-premesis Oracle environments.
• Improve monitoring, telemetry, and operational tooling.
• Troubleshoot complex Oracle performance issues using execution plans, wait events, and workload analysis.
• Promote database design and performance best practices across engineering teams.
• Collaborate with engineering teams and domain experts to design resilient and scalable solutions.

You need to have:

• Strong hands-on engineering experience building applications on top of Oracle databases.
• Deep knowledge of SQL and PL/SQL.
• Experience diagnosing and resolving Oracle performance issues.
• Experience writing software (Java or Python) to automate operational workflows.
• Ability to debug complex production incidents across database and application layers.
• Strong problem-solving and communication skills.
• BA, BS, MS, or PhD in Computer Science, Engineering, or related technical field (or equivalent experience).

We’d love to see:

• Experience administering Oracle at scale (Data Guard, ASM, RMAN).
• Experience building distributed systems or platform services.
• Familiarity with Kubernetes and containerized infrastructure.
• Experience with configuration management tools.
• Participation in database or open-source communities.