Software Engineer, Systems Job at Meta (Sydney)

Job Description

Meta is seeking a Staff Systems Software Engineer to design and build the foundational software infrastructure that powers Meta's products at massive scale. In this role, you will architect and implement complex systems software — spanning areas such as operating systems interfaces, runtime environments, low-level networking, storage, or platform services — that enables reliability, performance, and scalability across Meta's infrastructure. You will serve as a technical leader who drives engineering excellence, shapes the systems architecture roadmap, and partners across engineering disciplines to deliver high-impact solutions.

Job Responsibility

Architect and implement large-scale systems software components, including low-level platform services, runtime environments, or infrastructure frameworks that underpin Meta's product ecosystem
Lead the technical design of systems initiatives, evaluating trade-offs across performance, reliability, scalability, and maintainability to drive sound engineering decisions
Identify and resolve complex systems-level performance bottlenecks using profiling, instrumentation, and advanced debugging techniques including static analysis and trace-based diagnostics
Define and enforce service level objectives, build observability infrastructure including dashboards and alerting, and drive mean-time-to-mitigation improvements during production incidents
Establish and evolve coding standards, testing strategies, and rollout practices for systems software across the team, including automated resiliency and overload testing
Leverage AI-assisted development workflows to accelerate systems design, code generation, and cross-disciplinary analysis, applying sound judgment on when deep systems expertise is required
Collaborate with cross-functional partners across infrastructure, product engineering, and hardware teams to align systems architecture with broader platform requirements
Drive execution of multi-team systems initiatives by coordinating dependencies, managing phased rollouts and migrations, and proactively surfacing and mitigating technical risks
Mentor other engineers on systems design principles, debugging methodologies, and AI-augmented development practices, and contribute to onboarding and engineering programs
Communicate technical decisions, architectural trade-offs, and systems health metrics clearly in writing and presentations to both engineering and non-engineering stakeholders

Requirements

8+ years of experience in systems software engineering, including work on operating systems, runtime environments, low-level networking, storage systems, or large-scale platform infrastructure
Experience leading the end-to-end technical design and delivery of major systems software initiatives, including architecture definition, cross-team coordination, and production rollout
Experience diagnosing and resolving complex systems-level issues such as memory management bugs, concurrency and synchronization errors, or latency regressions using advanced debugging and profiling tools
Experience building reliable, observable systems software with well-defined SLOs, automated testing, staged rollout strategies, and production monitoring
Experience communicating systems architecture decisions and engineering trade-offs in writing to technical and non-technical audiences

Nice to have

Experience owning systems software that spans multiple infrastructure layers, with demonstrated ability to reason about upstream and downstream component dependencies
Experience integrating AI-assisted tooling into systems development workflows, including code generation, anomaly detection, or automated root cause analysis
Experience with systems programming in C, C++, or Rust, including kernel interfaces, memory allocators, threading models, or inter-process communication mechanisms
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)
Track record of driving performance optimization initiatives at the systems layer, including CPU, memory, I/O, or network throughput improvements measured against defined baselines
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

What we offer

Equal Employment Opportunity
Reasonable accommodations for qualified individuals with disabilities and disabled veterans

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Software Engineer, Systems

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