Software Engineer, Systems

Meta; Greater London; In loco; GBP 120.000 - 180.000; Tempo pieno

Descrizione del lavoro

Meta is seeking a Software Engineer to design, build, and scale foundational systems infrastructure powering products used by billions worldwide. You will work across distributed systems, storage, networking, runtime environments, and platform services to deliver reliable, high-performance infrastructure enabling product teams to move quickly and safely at scale.

You will own technical design and execution for cross-cutting systems projects, partnering closely with engineers across the

Competenze

• 6+ years of experience in systems software engineering with distributed/storage/networking/OS-level components.
• Experience designing/implementing large-scale production systems with reliability and performance requirements.
• Experience debugging complex non-reproducible issues with advanced tooling.
• Experience establishing observability through metrics, dashboards, and SLOs.
• Cross-team technical project leadership from design to production, with rollout planning.
• Familiarity with resiliency testing methods for distributed systems.
• Ongoing AI skill development and staying current with AI technologies.
• Experience with systems programming languages (C/C++/Rust/Go) in production.
• Experience integrating AI tools to optimize workflows and drive impact.

Mansioni

• Own technical design and execution across complex, cross-cutting systems projects.
• Lead collaboration with engineers across the organization to ensure platform health and long‑term reliability.
• Drive production readiness and post‑launch monitoring for large infrastructure initiatives.

Conoscenze

Distributed systems

Storage systems

Networking infra

OS-level components

Observability

Cross-team collaboration

AI skills

C/C++/Rust/Go

Ethical AI

Platform infra

Strumenti

Profilers

Tracing frameworks

Static analyzers

Custom instrumentation

Descrizione del lavoro

Meta is seeking a Software Engineer to design, build, and scale the foundational systems infrastructure that powers products used by billions of people worldwide. In this role, you will work across the systems stack — spanning distributed systems, storage, networking, runtime environments, and platform services — to deliver reliable, high-performance infrastructure that enables product teams to move quickly and safely at scale. You will own technical design and execution across complex, cross-cutting systems projects, partnering closely with engineers across the organization to drive engineering excellence and long-term platform health.

• 6+ years of experience in systems software engineering, including work on distributed systems, storage systems, networking infrastructure, or operating system-level components
• Experience designing and implementing large-scale, production systems with well-defined reliability, performance, and operational requirements
• Experience debugging complex, non-reproducible systems issues using advanced tooling such as profilers, static analyzers, tracing frameworks, or custom instrumentation
• Experience establishing observability for production systems through metrics, dashboards, alerting, and service level objectives
• Experience driving cross-team technical projects from design through production, including dependency coordination, staged rollout planning, and post-launch monitoring
• Familiarity with resiliency testing methodologies such as overload testing, chaos engineering, or fault injection for distributed systems
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience with systems programming languages such as C, C++, Rust, or Go in a production environment
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Experience contributing to platform or infrastructure projects that are consumed by multiple product or engineering teams
• Track record of improving developer productivity through tooling, automation, or codebase modernization efforts at an organizational scale
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)