Performance Engineer, Backend

Automattic Inc

New York, NY

JOB DETAILS
SALARY
$70,000–$170,000 Per Year
SKILLS
Benchmarking, Best Practices, Caching, Code Reviews, Communication Skills, Computer Security, Debugging Skills, Diversity, Documentation, Equal Employment Opportunity (EEO), Establish Priorities, Government Reporting, Identify Issues, Incident Response, Instrumentation, Legal, MariaDB, Memory Hardware, Mentoring, MySQL, Network Administration/Management, Network Operations Center, OFCCP (Office of Federal Contract Compliance Programs), PHP Scripting Language (PHP Hypertext Preprocessor), Performance Engineering, Performance Management, Performance Tuning/Optimization, Product Engineering, Production Systems, Proposal Writing, Query Optimization, Reporting Dashboards, Resolve Customer Issues, Sales, Systems Engineering, United States Department of Labor (DOL), United States Military, Wordpress, Writing Skills, memcached
LOCATION
New York, NY
POSTED
30+ days ago

Backend Performance Engineer at Automattic

JobsPerformance Engineer, Backend Performance Engineer, Backend Automattic's products-WordPress.com, WooCommerce, Beeper, Tumblr, Jetpack, and more-serve tens of billions of page views every month from data centers around the world. The PerfOps team exists to make those page views as quickly as possible. As a Backend Performance Engineer, you'll dive deep into query plans, cache hit ratios, and PHP profiling data to find the milliseconds that matter at our scale. You'll work across the full Automattic product portfolio: if it runs on our backend, it's your playground. This is an opportunity to do performance work where the impact is immediate and enormous. You'll collaborate with product engineers, systems engineers, and network operations, bringing a performance-first mindset to architecture decisions, code reviews, and incident response. If you love the puzzle of why something is slow and get satisfaction from making it measurably faster, this role was made for you.

Responsibilities:

• Identifying and eliminating backend performance bottlenecks by profiling PHP applications, analyzing MySQL/MariaDB query performance, and optimizing Memcached usage across Automattic's products. • Building and improving performance observability-developing dashboards, instrumentation, and automated detection that surface regressions before they reach production, and give engineering teams clear, actionable data. • Partnering with product and platform engineers to review code and architecture through a performance lens, advocating for efficient database access patterns, caching strategies, and backend design decisions. • Raising the performance bar across engineering by documenting best practices, contributing to internal guidelines for PHP and database performance, and mentoring teams on how to write backend code that scales. • Proactively searching out performance issues and working to resolve them. • Deep dives on individual sites, working alongside support staff and engineers to address customer performance issues.

Requirements:

• Deep hands-on experience with PHP performance: you can profile a PHP application, identify hot paths, and reason about memory usage and execution time at the code level. • Strong understanding of caching layers and strategies: you know how to design and debug Memcached (or similar) caching patterns, understand cache invalidation trade-offs, and can reason about when and where caching helps versus hides problems. • Experience doing performance work at scale: you've worked on systems serving millions of requests where small inefficiencies compound into real problems, and you understand the difference between optimizing on a benchmark and optimizing under production load. • Ability to instrument, measure, and prove: you don't guess, you measure. You have experience building or using profiling tools, APM systems, and performance dashboards to turn hunches into data and verify that a fix actually worked. • Excellent written communication skills: Automattic is a distributed, async-first company. You'll need to clearly explain complex performance findings, write up proposals, and influence engineering decisions through writing, not meetings. • Self-direction and ownership: you can identify the highest-impact performance work, prioritize it, drive it to completion, and hold yourself accountable without waiting for someone to assign it to you.

Salary Range:

$70,000-$170,000 USD. Please note that salary ranges are global, regardless of location, and we pay in local currency.

About Automattic:

Now in our 20th year, we're the people behind WordPress.com, WooCommerce, Beeper, Tumblr, Simplenote, Jetpack, Longreads, Day One, PocketCasts, and more. We believe in making the web a better place. We're a distributed company with more than 1500 Automatticians in nearly every corner of the globe, speaking over a hundred different languages. Enriched by this diversity, we're united by a singular mission: to democratize publishing, commerce, and messaging so anyone with a story can tell it, anyone with a product can sell it, and everyone can manage their communications from a single source.

Equal Employment Opportunity:

Automattic is a Most Loved Company, an Equal Opportunity employer, and Disability Confident Committed. We are committed to ensuring an accessible hiring process for all candidates. Learn more about our Employee Resource Groups. You can track your application status and more at MyGreenhouse. To learn about how we handle your data, please review our Privacy Policy. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Details:

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Additional Questions:

Have you profiled production PHP applications to identify and resolve performance bottlenecks? *Please selectYesNo

What is your experience level with backend systems where you have done hands-on performance work? Experience level for applications with daily traffic of: *Please select<100K requests/day100K-1M requests/day1M-10M requests/day10M+ requests/day

Describe a specific backend performance problem you identified and resolved in a production environment. What was the root cause, how did you find it, and how did you verify the fix worked? *

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About the Company

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Automattic Inc