Software Engineer, Databases; Technical Leadership
Job in
Bellevue, King County, Washington, 98009, USA
Listing for:
Meta
Full Time
position
Listed on 2026-06-01
Job specializations:
-
IT/Tech
Data Engineer, Database Administrator, Systems Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly
USD
80000.00
100000.00
YEAR
Job Description & How to Apply Below
Position: Software Engineer, Databases (Technical Leadership)
Summary
Meta is seeking a distinguished Software Engineer specializing in database internals to drive the technical direction of our MySQL infrastructure that powers Meta's family of products and platforms. In this role, you will architect and evolve critical database systems within our MySQL team — including our custom storage layer (MyRocks) and replication layer (MyRAFT) — that underpin billions of user interactions daily.
You will identify and solve the hardest database-level challenges across the organization, define multi-year technical strategy to adapt our relational database systems to support Meta's AI needs, and serve as a force multiplier for engineering teams through deep database expertise, AI-native workflows, and cross‑functional leadership.
Responsibilities
Define and drive the long‑term technical vision and architecture for Meta's MySQL infrastructure, including the MyRocks storage engine and MyRAFT replication layerArchitect database system enhancements to support Meta's evolving AI workloads and large‑scale data requirementsIdentify and resolve the most complex database‑level performance, reliability, and correctness challenges that span storage, replication, query execution, and transaction processingLead the design and implementation of critical database internals—including storage engine optimizations, replication protocols, query planning, and transaction management—to ensure correctness, efficiency, and long‑term maintainabilityEstablish extensible technical foundations, coding standards, and architectural patterns that improve consistency and velocity across database engineering teamsDevelop and operationalize testing frameworks, verification methodologies, and data integrity checks that prevent database bugs and reliability regressions at scaleLeverage AI tooling and automation to optimize database performance, accelerate development workflows, and identify optimization opportunitiesPartner with product, infrastructure, and platform engineering teams to translate complex database requirements into durable technical designs, influencing roadmaps across organizational boundariesDefine and track database‑level metrics, SLOs, and performance guardrails that connect engineering outcomes to organization‑level prioritiesMentor engineers across the organization on database design principles, query optimization techniques, and storage engine internalsMinimum Qualifications
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience12+ years of experience in database systems engineering, including design and implementation of database internals such as storage engines, replication systems, query optimizers, or transaction processingExperience working on database teams in the industry, with deep expertise in database architecture and internalsExperience architecting and owning large‑scale database infrastructure used across multiple teams or organizations, including driving multi‑year technical roadmapsExperience identifying and resolving complex database performance, reliability, or correctness issues spanning storage, replication, or query execution layersExperience defining engineering standards, architectural patterns, and verification methodologies that improve database system quality and consistencyExperience communicating complex database architecture and technical strategy in writing and presentations to both technical and non‑technical stakeholdersPreferred Qualifications
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologiesExperience leading database migrations, schema evolution, or platform modernization efforts in large‑scale production environmentsExperience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)Experience with database internals, like storage enginesExperience with…
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