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# Software Engineer, Databases

- **Company:** Facebook Inc.
- **Location:** Bellevue, WA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Systems Engineering, Architectural Patterns, Profiling, Databases, Computer Engineering, Data Infrastructure, Software Debugging, Distributed Data Store, Distributed Systems, Memory Management, Formal Verification, Inter-Process Communication, Performance Tuning, Systems Development Life Cycle, Query Optimization, Software Engineering, Software Systems, Systems Architecture, Cloud Platform System, Multi-Agent Systems, Concurrency, Database Optimization, Information Technology
- **Published:** July 8, 2026
- **Apply:** https://www.jobmonkeyjobs.com/career/27830749/Software-Engineer-Databases-Washington-Bellevue-7418

## About the Role

* Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
 * 8+ years of experience in systems software engineering, including design and implementation of operating system interfaces, runtime environments, distributed infrastructure, or low-level platform services
 * Experience architecting and owning large-scale systems infrastructure used across multiple teams or organizations, including driving multi-year technical roadmaps
 * Experience identifying and resolving complex systems-level performance, reliability, or correctness issues spanning concurrency, memory management, or distributed coordination
 * Experience defining engineering standards, architectural patterns, and verification methodologies that improve systems quality and consistency at scale
 * Experience communicating complex systems architecture and technical strategy in writing and presentations to both technical and non-technical stakeholders, * Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
 * Experience leading database migrations, schema evolution, or platform modernization efforts in large-scale production environments
 * Experience 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 engines
 * Experience with distributed database systems, consensus protocols (such as Raft or Paxos), or building highly available data infrastructure
 * Experience applying AI and machine learning techniques to database optimization problems, such as query optimization, workload prediction, or automated performance tuning

## Description

Meta is seeking a Software Engineer specializing in systems software to drive technical direction across large-scale infrastructure and platform engineering. In this role, you will architect and evolve foundational systems - spanning operating system interfaces, runtime environments, distributed infrastructure, and low-level platform services - that underpin Meta's family of products at global scale. You will solve the most complex systems-level challenges across the organization, define multi-year technical strategy for platform reliability and performance, and serve as a force multiplier for engineering teams through deep systems expertise, AI-native workflows, and cross-functional technical leadership.

Software Engineer, Databases Responsibilities:

 * Define and drive the long-term technical vision and architecture for large-scale systems software, including platform services, runtime environments, and low-level infrastructure components
 * Architect systems-level solutions that address performance, reliability, and scalability requirements across distributed infrastructure serving billions of users
 * Identify and resolve the most complex systems-level challenges spanning kernel interfaces, memory management, concurrency, inter-process communication, and distributed coordination
 * Lead the design and implementation of critical platform components, establishing extensible technical foundations and coding standards that improve consistency and velocity across systems engineering teams
 * Develop and operationalize testing frameworks, fault injection strategies, and verification methodologies that prevent systems regressions and improve production reliability at scale
 * Define and track systems-level metrics, service level objectives, and performance guardrails that connect engineering outcomes to organization-wide priorities
 * Leverage AI tooling and automation to accelerate systems development workflows, identify performance bottlenecks, and improve observability and debugging capabilities
 * Partner with infrastructure, product, and platform engineering teams to translate complex systems requirements into durable technical designs, influencing roadmaps across organizational boundaries
 * Drive safe and automated rollout strategies for major systems changes, including phased migrations and dependency coordination across teams
 * Mentor engineers across the organization on systems design principles, performance profiling, debugging methodologies, and low-level platform internals


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