At a Glance
- Tasks: Lead a team to ensure Meta's production systems are reliable, scalable, and efficient.
- Company: Join Meta, a leader in tech innovation and global connectivity.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on AI integration and career advancement.
- Why this job: Make a real impact on cutting-edge infrastructure and drive AI-augmented workflows.
- Qualifications: 4+ years in production engineering and 2+ years managing teams required.
Meta is seeking a Production Engineering Manager to lead a team responsible for the reliability, scalability, and operational excellence of Meta's production infrastructure and services. In this role, you will manage a team of production engineers who own the full lifecycle of systems — from capacity planning and performance optimization to incident response and automation. You will drive technical strategy, champion AI-augmented workflows, and partner closely with software engineering, infrastructure, and product teams to ensure Meta's services operate at global scale with high availability and efficiency.
Required Skills:
- Manage a team of production engineers delivering on reliability, scalability, and operational efficiency across multiple interdependent production systems.
- Drive roadmap creation for infrastructure reliability initiatives, capacity planning, and automation efforts, increasing team scope as AI-driven productivity improves throughput.
- Lead adoption of AI-augmented engineering workflows across the team, sharing learnings and best practices with the broader production engineering organization.
- Contribute hands-on to technical work including code, system design reviews, and incident response, using AI tooling to expand personal and team reach across disciplines.
- Partner cross-functionally with software engineering, data science, and product teams to unblock dependencies and ensure smooth execution of infrastructure and reliability projects.
- Proactively identify and resolve sources of operational toil — including on-call load, alerting gaps, and technical debt — and implement automation to increase team efficiency and scope.
- Set clear goals and expectations for individual team members, provide timely and actionable feedback, and actively develop engineers' skills including proficiency with AI-augmented workflows.
- Establish and monitor service-level objectives, reliability metrics, and engineering efficiency indicators to maintain high engineering craft and product quality.
- Communicate production system health, incident learnings, and infrastructure strategy effectively to engineering leadership and cross-functional stakeholders.
- Recruit, onboard, and retain production engineering talent, ensuring the team structure minimizes single points of failure and supports sustainable growth.
Minimum Qualifications:
- 4+ years of experience in production engineering, site reliability engineering, or systems software engineering.
- 2+ years of experience managing production engineering or infrastructure engineering teams.
- Experience driving reliability and scalability improvements for large-scale distributed systems, including incident management, capacity planning, and performance optimization.
- Experience coding and debugging in at least one systems or scripting language (such as Python, C++, Go, or Bash) and contributing technically alongside a team.
- Experience setting team goals, managing execution against roadmaps, and communicating infrastructure strategy to technical and non-technical stakeholders.
Preferred Qualifications:
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies.
- Track record of cross-functional collaboration with software engineering and data science teams to co-own reliability outcomes for consumer-facing or infrastructure services.
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements).
- Experience leading adoption of AI-assisted tooling or automation frameworks within an engineering team to expand operational scope and reduce toil.
- Experience managing on-call rotations, defining service-level objectives, and implementing observability and alerting improvements at scale.
- Familiarity with container orchestration, service mesh architectures, or large-scale deployment pipelines in a production environment.
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews).
Industry: Internet
Production Engineering Manager in London 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 Production Engineering Manager in London
✨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 Production Engineering Manager in London
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.
