Page 1 of 2

SFBA: Backend/Search Infrastructure Engineer

Location: Hybrid (In-office Mondays & Thursdays in San Francisco or New York; some teams may require more) Compensation: $330K base + equity

Join our client and help millions seamlessly connect docs, projects, and knowledge in one place. As an engineer on their Search team, you’ll build and scale mission-critical systems powering their search and AI features—a bedrock for individuals and cutting-edge teams at organisations like Figma, Toyota, and OpenAI.

🧠 What You’ll Be Doing

- Pushing the boundaries of real-time search: Denormalize, preprocess, and index every relevant content type users care about - Optimizing for speed: Identify and reduce index latency across the stack - Ensuring correctness and consistency: Guarantee every Notion change is instantly reflected in search - Scaling infrastructure: Own and tune search clusters—hardware, configs, and everything in between - Championing privacy and enterprise readiness: Drive world-class user privacy, security, and advanced features - Building internal tools: Own the feature-store infrastructure for enabling rapid, cost-effective, high-value information exposure - Cross-functional consulting: Partner with product engineers to model and onboard new content types to the stack

💰 What You’ll Get

- Deploy search technology used by millions, powering AI and productivity for world-class teams - Collaborate with top engineering, infrastructure, and product talent - Contribute to a product loved for its flexibility and ability to streamline work - Operate in a culture with in-person energy—focusing on creativity and connection

🧩 Must haves

- Strong backend engineering chops, ideally in search, data infrastructure, queueing, or distributed systems - Hands-on experience with at-least-once delivery and multi-stage data pipelines - Proven record shipping robust, scalable, and user-facing products - Excellence in cross-team collaboration (product, design, infra, data) - Computer Science degree or equivalent technical background

🧠 Nice to have (bonus points) - Experience delivering full-text search with Lucene, Elasticsearch, or Solr - Deep knowledge of large-scale distributed systems - Familiar with Spark, Flink, Kafka, Airflow, or YARN/Hadoop - Performance tuning of asynchronous systems under load - Previous experience in fast-growing startups or SaaS environments

Some of the fields below may be pre-filled, feel free to amend as you see fit.

What's your name?

What's your email?

What's your phone number?

What are your preferred contact methods?

What are your preferred contact methods?
A
B
C
You can select more than one option - and we'll aim to contact you via your preferred channels.

What's your preferred contact time

We like to be mindful of everyone's preferences, so please select the time that best suits you.

Please upload the latest copy of your CV/resume