At a Glance
- Tasks: Design and build large-scale systems that power products for billions globally.
- Company: Join Meta, a leader in innovative technology and social connection.
- Benefits: Competitive salary, comprehensive benefits, and opportunities for remote work.
- Other info: Dynamic environment with a focus on AI integration and career growth.
- Why this job: Make a real impact on the future of social technology with cutting-edge projects.
- Qualifications: 8+ years in systems software and experience leading technical initiatives.
The predicted salary is between 63000 - 77000 £ per year.
Meta is seeking a Staff Systems Software Engineer to design and build the foundational infrastructure that powers products used by billions of people worldwide. In this role, you will architect and implement large-scale distributed systems, low-level platform components, and high-performance services that underpin Meta's core product stack. You will drive technical strategy across system reliability, performance, and scalability, partnering closely with product, infrastructure, and data engineering teams to deliver systems that operate at global scale with high availability and efficiency.
Responsibilities:
- Architect and implement large-scale distributed systems and platform services that support high-throughput, low-latency workloads across Meta's product infrastructure.
- Lead the technical design of systems components including storage layers, compute pipelines, networking abstractions, and service orchestration frameworks.
- Identify and resolve systemic performance bottlenecks through instrumentation, profiling, and targeted optimization across the full systems stack.
- Define and enforce service level objectives for owned systems, building dashboards, alerting pipelines, and runbooks to reduce mean time to mitigation during incidents.
- Drive reliability improvements by reducing failure surface, designing resilient rollout strategies, and leading regular resiliency and overload testing exercises.
- Collaborate with cross-functional partners across product engineering, infrastructure, and data science to align system architecture with evolving product and business requirements.
- Establish and evolve coding standards, architectural patterns, and engineering best practices for systems development across the broader organization.
- Leverage AI-assisted development workflows to accelerate design iteration, code generation, and systems analysis, applying sound judgment on when to rely on AI versus deep systems expertise.
- Mentor other engineers on systems design principles, debugging methodologies, and production operations, and contribute to onboarding programs for new team members.
- Lead incident retrospectives, identify root causes of complex production failures, and drive implementation of systemic improvements to prevent recurrence.
Minimum Qualifications:
- 8+ years of experience designing and implementing large-scale distributed systems, platform infrastructure, or systems software in production environments.
- Experience leading major technical initiatives end-to-end, including architecture design, cross-team coordination, staged rollout, and post-launch reliability ownership.
- Experience debugging complex, non-reproducible systems issues including concurrency bugs, memory management failures, and distributed consistency problems.
- Experience defining service level objectives, building observability infrastructure, and driving reliability improvements across production systems.
- Experience communicating technical architecture decisions and trade-offs in writing to both engineering and non-engineering stakeholders.
Preferred Qualifications:
- Experience with systems programming languages such as C, C++, or Rust in the context of high-performance or low-latency infrastructure.
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements).
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies.
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews).
- Experience designing or contributing to storage systems, compute scheduling frameworks, or inter-service communication protocols at scale.
- Demonstrated use of AI tools to accelerate systems design, automate operational workflows, or improve code quality and test coverage.
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Software Engineer, Systems employer: META
Meta is an exceptional employer that fosters a dynamic and innovative work culture, where creativity and collaboration thrive. Located in a vibrant tech hub, employees benefit from extensive growth opportunities, competitive compensation, and a commitment to work-life balance, making it an ideal place for those looking to make a meaningful impact in the advertising landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer, Systems
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at META or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to META.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like META.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like META that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Software Engineer, Systems
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at META.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at META and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at META
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If META uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.