How Algolia Reduces Latency For 21B Searches Per Month

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Algolia
Developer-friendly hosted search service. API clients for all major frameworks and languages. REST, JSON & detailed documentation.

By Josh Dzielak, Developer Advocate at Algolia.


Algolia Paris meeting room


Algolia helps developers build search. At the core of Algolia is a built-from-scratch search engine exposed via a JSON API. In February 2017, we processed 21 billion queries and 27 billion indexing operations for 8,000+ live integrations. Some more numbers:

  • Query volume: 1B/day peak, 750M/day average (13K/s during peak hours)
  • Indexing operations: 10B/day peak, 1B/day average (spikes can be over 1M/s)
  • Number of API servers: 800+
  • Total memory in production: 64TB
  • Total I/O per day: 3.9PB
  • Total SSD storage capacity: 566TB

We’ve written about our stack before and are big fans of StackShare and the community here. In this post we‘ll look at how our stack is designed from the ground up to reduce latency and the tools we use to monitor latency in production.

I’m Josh and I’m a Developer Advocate at Algolia, formerly the VP Engineering at Keen IO. Being a developer advocate is pretty cool. I get to code, write and speak. I also get to converse daily with developers using Algolia.

Frequently, I get asked what Algolia’s API tech stack looks like. Many people are surprised when I tell them:

  1. The Algolia search engine is written in C++ and runs inside of nginx. All searches start and finish inside of our nginx module.

  2. API clients connect directly to the nginx host where the search happens. There are no load balancers or network hops.

  3. Algolia runs on hand-picked bare metal. We use high-frequency CPUs like the 3.9Ghz Intel Xeon E5–1650v4 and load machines with 256GB of RAM.

  4. Algolia uses a hybrid-tenancy model. Some clusters are shared between customers and some are dedicated, so we can use hardware efficiently while providing full isolation to customers who need it.

  5. Algolia doesn’t use AWS or any cloud-based hosting for the API. We have our own servers spanning 47 datacenters in 15 global regions.


Algolia architecture diagram


Why this infrastructure?

The primary design goal for our stack is to aggressively reduce latency. For the kinds of searches that Algolia powers—suited to demanding consumers who are used to Google, Amazon and Facebook—latency is a UX killer. Search-as-you-type experiences, which have become the norm since Google announced instant search in 2011, have demanding requirements. Any more than 100ms from end-to-end can be perceived as sluggish, glitchy and distracting. But at 50ms or less the experience feels magical. We prefer magic.

Monitoring

Our monitoring stack helps us keep an eye on latency across all of our clusters. We use Wavefront to collect metrics from every machine. We like Wavefront because it’s simple to integrate (we have it plugged in to StatsD and collectd), provides good dashboards, and has integrated alerting.

We use PagerDuty to fire alerts for abnormalities like CPU depletion, resource exhaustion and long-running indexing jobs. For non-urgent alerts, like single process crashes, we dump and collect the core for further investigation. If the same non-urgent alert repeats more than a set number of times, we do trigger a PagerDuty alert. We keep only the last 5 core dumps to avoid filling up the disk.

When a query takes more than 1 second we send an alert into Slack. From there, someone on our Core Engineering Squad will investigate. On a typical day, we might see as few as 1 or even 0 of these, so Slack has been a good fit.

Probes

We have probes in 45 locations around the world to measure the latency and the availability of our production clusters. We host the probes with 12 different providers, not necessarily the same as where our API servers are. The results from these probes are publicly visible at status.algolia.com. We use a custom internal API to aggregate the large amount of data that probes fetch from each cluster and turn it into a single value per region.


Algolia probes


Downed Machines

Downed machines are detected within 30 seconds by a custom Ruby application. Once a machine is detected to be down, we push a DNS change to take it out of the cluster. The upper bound of propagation for that change is 2 minutes (DNS TTL). During this time, API clients implement their internal retry strategy to connect to healthy machines in the cluster, so there is no customer impact.

Debugging Slow Queries

When a query takes abnormally long - more than 1 second - we dump everything about it to a file. We keep everything we need to rerun it including the application ID, index name and all query parameters. High-level profiling information is also stored - with it, we can figure out where time is spent in the heaviest 10% of query processing. A syscall called getrusage analyzes resource utilization of the calling process and its children.

For the kernel, we record the number of major page faults (ru_majflt), number of block inputs, number of context switches, elapsed wall clock time (using gettimeofday, so that we don’t skip counting time on a blocking I/O like a major page fault since we’re using memory mapped files) and a variety of other statistics that help us determine the root cause.

With data in hand, the investigation proceeds in this order:

  1. The hardware
  2. The software
  3. Operating system and production environment

Hardware

The easiest problem to detect is a hardware issue. We see burned SSDs, broken memory modules and overheated CPUs. We automate the reporting of the most common failures like SSDs by alerting on S.M.A.R.T. data. For infrequent errors, we might need to run a suite of specific tools to narrow down the root cause, like mbw for uncovering memory bandwidth issues. And of course, there is always syslog which logs most hardware failures.

Individual machine failures will not have a customer impact because each cluster has 3 machines. Where it’s possible in a given geographical region, each machine is located in a different datacenter and attached to a different network provider. This provides further insulation from network or datacenter loss.

Software

We have some close-to-zero cost profiling information obtained from the getrusage syscall. Sometimes that’s enough to diagnose an issue with the engine code. If not, we need to look to profiling. We can’t run a profiler in production for performance reasons, but we can do this after the fact.

An external binary is attached to a profiler, containing exactly the same code as the module running inside of nginx. The profiler uses information obtained by google-perftools, a very accurate stack-sampling profiler, to simulate the exact conditions of the production machine.

OS / Environment

If we can rule out hardware and software failure, the problem might have been with the operating environment at that point in time. That means analyzing system-wide data in the hope of discovering an anomaly.

Once we discovered that defragmentation of huge pages in the kernel could block our process for several hundred milliseconds. This defragmentation isn’t necessary because we keep large memory pools like nginx. Now we make sure it doesn’t happen, to the benefit of more consistent latency for all of our customers.

Deployment

Every Algolia application runs on a cluster of 3 machines for redundancy and increased throughput. Each indexing operation is replicated across the machines using a durable queue.

Clusters can be mirrored to other global regions across Algolia’s Distributed Search Network (DSN). Global coverage is critical for delivering low latency to users coming from different continents. You can think of DSN like a CDN without caching - every query is running against a live, up-to-date copy of the index.

Early Detection

When we release a new version of the code that powers the API, we do it in an incremental, cluster-aware way so we can rollback immediately if something goes wrong.

Automated by a set of custom deployment scripts, the order of the rolling deploy looks like this:

  • Testing machines
  • Staging machines
  • ⅓ of production machines
  • Another ⅓ of production machines
  • The final ⅓ of production machines

First, we test the new code with unit tests and functional tests on a host that with an exact production configuration. During the API deployment process we use a custom set of scripts to run the tests, but in other areas of our stack we’re using Travis CI.

One thing we guard against is a network issue that produces a split-brain partition during a rolling deployment. Our deployment strategy considers every new version as unstable until it has consensus from every server, and it will continue to retry the deploy until the network partition heals.

Before deployment begins, another process has encrypted our binaries and uploaded them to an S3 bucket. The S3 bucket sits behind CloudFlare to make downloading the binaries fast from anywhere.

We use a custom shell script to do deployments. The script launches the new binaries and then checks to make sure that the new process is running. If it’s not, the script assumes that something has gone wrong and automatically rolls back to the previous version. Even if the previous version also can’t come up, we still won’t have a customer impact while we troubleshoot because the other machines in the cluster can still service requests.

Scaling

For a search engine, there are two basic dimensions of scaling:

  • Search capacity - how many searches can be performed?
  • Storage capacity - how many records can the index hold?

To increase your search capacity with Algolia, you can replicate your data to additional clusters using the point-and-click DSN feature. Once a new DSN cluster is provisioned and brought up-to-date with data, it will automatically begin to process queries.

Scaling storage capacity is a bit more complicated.

Multiple Clusters

Today, Algolia customers who cannot fit on one cluster need to provision a separate cluster and create logic at the application layer to balance between them. This is often needed by SaaS companies who have customers growing at different rates, and sometimes one customer can be 10x or 100x compared to the others, so you need to move that customer to somewhere they can fit.

Soon we’ll be releasing a feature that takes this complexity behind the API. Algolia will automatically balance data a customer’s available clusters based on a few key pieces of information. The way it works is similar to sharding but without the limitation of shards being pinned to a specific node. Shards can be moved between clusters dynamically. This avoids a very serious problem encountered by many search engines - if the original shard key guess was wrong, the entire cluster will have to be rebuilt down the road.

Collaboration

Our humans and our bots congregate on Slack. Last year we had some growing pains, but now we have a prefix-based naming convention that works pretty well. Our channels are named #team-engineering, #help-engineering, #notif-github, etc.. The #team- channels are for members of a team, #help- channels are for getting help from a team, and #notif- channels are for collecting automatic notifications.


Algolia Zoom Room


It would be hard to count the number of Zoom meetings we have on a given day. Our two main offices are in Paris and San Francisco, making 7am-10am PST the busiest time of day for video calls. We now have dedicated "Zoom Rooms" with iPads, high-resolution cameras and big TVs that make the experience really smooth. With new offices in New York and Atlanta, Zoom will become an even more important part of our collaboration stack which also includes Github, Trello and Asana.

Team

When you're an API, performance and scalability are customer-facing features. The work that our engineers do directly affects the 15,000+ developers that rely on our API. Being developers ourselves, we’re very passionate about open source and staying active with our community.


Algolia values


We’re hiring! Come help us make building search a rewarding experience. Algolia teammates come from a diverse range of backgrounds and 15 different countries. Our values are Care, Humility, Trust, Candor and Grit. Employees are encouraged to travel to different offices - Paris, San Francisco, or now Atlanta - at least once a year, to build strong personal connections inside of the company.

See our open positions on StackShare.

Questions about our stack? We love to talk tech. Comment below or ask us on our Discourse forum.

Thanks to Julien Lemoine, Adam Surak, Rémy-Christophe Schermesser, Jason Harris and Raphael Terrier for their much-appreciated help on this post.

Algolia
Developer-friendly hosted search service. API clients for all major frameworks and languages. REST, JSON & detailed documentation.
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Open jobs at Algolia
IT Engineer/Senior IT Engineer
San Francisco
Algolia is an explosively growing, post-series C, SaaS company.  We’re in the process of hyper-scaling while building a stronger operations organization to support this continued growth.  We are looking for a new junior IT engineer for an office position in the Bay area.  This is an advancement position that will be split 80/20 in EUC and application development.  This position may have up to 10% travel. The Algolia IT team cares about the needs of our organization and the satisfaction of our end users.  We are candid in communicating what needs to be done and we have the grit to see myriad tasks and projects completed during daily and quarterly timeframes.  We trust each other, demonstrate respect for each other and are willing to ask for and provide help to each other.
  • EUC Responsibilities:
  • Serve as the first point of contact for IT requests in all regions. Administrate the EUC tech stack with specialization in Gsuite, Okta, Atlassian, Zoom, and Slack. Deploy and sunset devices for end-users in the NA and APAC regions (macOS, Windows, Linux, and all sorts of mobile devices).Inventory and maintain IT asset data (serial numbers, software keys, locations, etc.).Create documentation to enable end-users to interact with our hardware and software systems.

  • Engineering Responsibilities:
  • Manage asset and service relationships and associated contracts with major vendors. Study and master the Algolia user tech stack, inside and outside of IT, including both fine-level details and overarching strategic goals. Coordinate across Algolia teams to design and manage effective and efficient internal SaaS deployments. Ally with Security and Infrastructure teams to maintain the safety of our people and products. Engage in the development of less experienced engineers.
  • Requirements:
  • A BS in Computer Science or its equivalent in continuing education (Masters for Senior).
  • 3+ years of technical support experience.
  • 7+ years managing IT environments
  • Expertise with macOS and Windows as well as familiarity with Linux.
  • Authorization to work in the United States.

  • Critical traits:
  • You learn fast and retain well.You prioritize tasks effectively and self-initiate completion.You are flexible when problems occur.You are adaptable in a fast-changing environment.You can demonstrate excellent communication skills.
  • GRIT - Problem-solving and perseverance capability in an ever-changing and growing environment
  • TRUST - Willingness to trust our co-workers and to take ownership
  • CANDOR - Ability to receive and give constructive feedback
  • CARE - Genuine care about other team members, our clients and the decisions we make in the company
  • HUMILITY- Aptitude for learning from others, putting ego aside.
  • Health, dental, and vision benefits for you and your family
  • Life insurance and disability benefits
  • Relocation support
  • 401(k) plan with employer matching
  • Flexible work hours and flexible time off policy
  • Competitive pay and stock options
  • Charitable contribution matching 
  • Workout Wednesdays w/ personal trainer via Zoom
  • Weekly meditation sessions via Zoom
  • Monthly Wellness Days
  • Partner Engineer - Remote
    Atlanta | New York | San Francisco |
    The Algolia Partner Engineering Team plays a vital role in growing our partner network of systems integrator, digital agencies and 3rd party platforms and ISVs to develop technical integration. As a Partner Engineer, your job will require not only technical mastery of Algolia's suite of offerings, but also the ability to disseminate this knowledge externally. You will be empowering our partners to first understand our products and then to build similar solutions in the future. This is a highly autonomous role in which no one day will be the same as the last.
  • Act as the onboarding and technical engagement manager to ensure the partner receives clear and timely communications and understands Algolia products from a technical level 
  • Enable partners to be successful by guiding them through the implementation process, designing and performing on-site trainings, and encouraging them to become certified
  • Guide our technology partners to build bridges between Algolia and their products (personalisation solution, visual or voice search, ecommerce platform,...)
  • Act as the technical counterpart to our Partner Executives: join calls, help answer technical questions during the partner discovery phase, and craft services strategies
  • Provide meaningful feedback to our internal product team based on the needs of your partners and their clients
  • Contribute to processes, documentation, and tooling to ensure the team can scale efficiently
  • 5+ years professional experience as a web developer
  • Proficient in Javascript and at least one back-end language; willingness to dive into and potentially learn additional languages as needs arise
  • 3+ years experience in a client-facing or education role
  • Excellent written and oral English skills
  • Preference for candidates with experience at our current stage and beyond (over 10,000 customers, $50-200M ARR range, high growth, lots of change and building internal infrastructure).
  • Experience at our current stage and beyond ($50-200M ARR range, high growth, lots of change and building internal infrastructure) 
  • Prior experience working for a digital agency or systems integrator
  • Prior experience in education or public speaking
  • Knowledge of UX / UI design and an understanding of common tools (Sketch, Photoshop, etc.)
  • Background in the search industry
  • Computer Science Degree
  • GRIT - Problem-solving and perseverance capability in an ever-changing and growing environment
  • TRUST - Willingness to trust our co-workers and to take ownership 
  • CANDOR - Ability to receive and give constructive feedback.
  • CARE - Genuine care about other team members, our clients and the decisions we make in the company.
  • HUMILITY- Aptitude for learning from others, putting ego aside.
  • Covered medical, dental, and vision benefits for you and your family 
  • 401(k) Matching Plan
  • Flexible work hours and unlimited Paid Time Off 
  • Paid Parental Leave
  • Pre-tax commuter benefits 
  • Life insurance and disability benefits
  • Competitive pay and stock options
  • Charitable contribution matching 
  • Fully stocked kitchens
  • Catered lunches on Tuesdays and Thursdays 
  • Workout Wednesdays w/ personal trainer 
  • Bi-monthly meditation sessions 
  • AMER: Engineering Manager – Dashboard...
    New York, New York

    Algolia is set to enable every company to create world-class Search and Discovery experiences with an API-first approach. Performance and Scalability is at the heart of our mission: we power 1.5 trillion searches a year, for 10K+ customers all over the world. We see Developer Experience as a key element of our offering: we maintain high-quality SDKs for a dozen languages and platforms. We value Grit, Trust, Candor, Care and Humility. If you're a problem solver, able to think outside the box and eager to nurture others and learn from them, then this is your challenge!

    In the Dashboard Platform team, we're on a mission to empower all developers at Algolia to ship frontend features to our customer-facing Dashboard, with an emphasis on offering a great and consistent customer experience, at scale. In practice, that means:

    • contributing to Satellite, our best-in-class Design System
    • working on features of the Algolia Dashboard itself, such as navigation, search & overall micro-frontend architecture
    • building new backend services powering our frontend infrastructure platform, to enable quick & autonomous deployment for all teams
    • building tooling, features & guidelines that contribute to a great Developer Experience
    • collaborating with all developers to support the adoption & usage of our tools

    We have ambitious goals ahead of us and in that context we are looking for an Engineering Manager to help grow the team.

    Your role will consist of

    • Help the team plan, execute and ship releases respecting timelines and high-quality development, working closely with the product and leadership teams
    • Coach and mentor engineers to excel at their work and grow
    • Hire and onboard engineers to build a diverse and excellent team
    • Lead by example, going hands-on when necessary
    • Be a culture advocate within the company living by our core values
    • Make sure the team is as productive as possible, removing roadblocks or processes along the way

    You might be a fit if you have

    • Deep interest in people and mentoring
    • 2+ years in a managing/leading role
    • A passion for frontend & developer experience
    • Exceptional written and verbal communication skills
    • Autonomous without the need for daily direction from your manager
    • Preference for candidates with experience at our current stage and beyond (500+ employees, over 10,000 customers, $50-200M ARR range, high growth, lots of change and building internal infrastructure). We are growing fast and we have a lot to improve on. We need seniors who've been there, done that.
    • Experience with a globally distributed team ( working across multiple time zones.

    Typical day as a manager at Algolia

    • As an engineering manager, you are able to adapt to every situation with the objective of having your team always productive. It’s up to you and your creativity to make the most out of your time and other’s time in an inconsistent environment.
    • A typical day could consist of meeting with different stakeholders, being the communication bridge between them and your team members, saving them precious creative time.
    • You will regularly meet with your reports, ensuring they always have a safe space to share concerns and keep them motivated. Everyone has different ways of communicating and needs to be mentored, you will adapt your agenda and personalize the meetings for each one of them individually.
    • As a leader and expert on managing development teams, you will make sure different rituals are respected and you will contribute actively to them.
    • As an experienced engineer, you will spend some time being an individual contributor while being an example for your most junior colleagues.

    #LI-Hybrid #LI-Remote

     

    REMOTE STRATEGY:

    Algolia’s workplace strategy, Hybrid Remote, is designed to harness the power of the opportunities that remote work offers both employees and the company, while also providing an engaging in-office experience for the times when an employee is in an office. Our workplace approach reflects the belief that an employee’s impact, contribution, and output are more important than their physical location.

    The majority of employees will be able to choose if, and when, they come into an office on a regular basis. There will be times when our people are asked to come into an office for “moments that matter:” activities like critical planning meetings and team social gatherings.  Beyond those events, 80% of our workforce may choose the location from where they work in the country in which they were hired.

    We have physical offices in San Francisco, NYC, Atlanta, Paris, London, Austin, and Bucharest. https://www.algolia.com/about/

    ABOUT US:

    Algolia prides itself on being a pioneer and market leader offering an AI-powered, API-First Search & Discovery platform that empowers 12,000+ businesses to compose customer experiences at internet scale that predict what their users want with blazing fast search and web browse experience. Algolia powers more than 30 billion search requests a week – four times more than Microsoft Bing, Yahoo, Baidu, Yandex and DuckDuckGo combined.

    Algolia is part of a cadre of innovative new companies that are driving the next generation of software development, creating APIs that make developers’ lives easier; solutions that are better than building from scratch and better than having to tweak monolithic SaaS solutions.

    In 2021, the company closed $150 million in series D funding and quadrupled its post-money valuation of $2.25 billion. Being well capitalized enables Algolia to continue to invest in its market leading platform, to better serve its thousands of customers–including Under Armor, Petsmart, Stripe, Gymshark, and Walgreens, to name just a few. 

    The team is headquartered in San Francisco with offices in Paris, London, New York, Austin, Atlanta, and Bucharest. To learn more, visit www.algolia.com.

    WHO WE'RE LOOKING FOR:

    We’re looking for talented, passionate people to build the world’s best search & discovery technology. As an ownership-driven company, we seek team members who thrive within an environment based on autonomy and diversity. We're committed to building an inclusive and diverse workplace. We care about each other and the world around us, and embrace talented people regardless of their race, age, ancestry, religion, sex, gender identity, sexual orientation, marital status, color, veteran status, disability and socioeconomic background.

    READY TO APPLY?

    If you share our values and our enthusiasm for building the world’s best search & discovery technology, we’d love to review your application!

    AMER: Engineering Manager – Dashboard...
    Atlanta, Georgia

    Algolia is a fast growing company that helps users deliver an intuitive search-as-you-type experience on their websites and mobile apps. We provide a search API used by thousands of customers in more than 100 countries. Today, Algolia powers 1.5 Trillion searches a year – that’s 4 times more than Bing, Yahoo, DuckDuckGo, Baidu and Yandex combined!

    The Billing & Usage team aims to help Algolia grow as an agile business. To achieve that, we are building a powerful & flexible platform empowering internal feature teams to release, track & monetize new products while ensuring that customers understand their usage and control their billing. 

    We have ambitious goals ahead of us, and in that context we are looking for a Senior Engineering Manager to build out a new US-based team and help us scale our Billing & Usage Platforms, which are critical to our business. You will work on features ranging from data processing pipelines to flexible pricing APIs. We expect you to bring significant experience acquired from a similar role in a former job. Not only will you lead projects in complete autonomy, you will also be accountable for planning ahead, and thinking in terms of what’s best globally for the company rather than locally for your projects. This also means you are expected to ramp up on multiple projects, and orchestrate changes across projects and teams whenever necessary. As a Sr. Engineering Manager, you are also expected to be a technical leader, sharing your knowledge, helping engineers grow.

    YOUR ROLE WILL CONSIST OF:

    • Help the team plan, execute and ship releases respecting timelines and high-quality
      development, working closely with the product and leadership teams
    • Coach and mentor engineers to excel at their work and grow
    • Hire and onboard engineers to build a diverse and excellent team
    • Lead by example, coding alongside your team when necessary
    • Be a culture advocate within the company living by our core values
    • Continuously work on our Engineering Brand, producing content, attending events, leading some talks and being creative
    • Implement process as needed like weekly syncs, team & handbooks

    YOU MIGHT BE A FIT IF YOU HAVE:

    • Deep interest in people and mentoring
    • At least 10 years of software development experience
    • Successful team management or lead experience
    • A passion for shipping quality code
    • Excellent oral and written communication in English
    • Experience with over-sea reporting lines (e.g. US West Coast) and working in
      multiple time zones.
    • Self sufficient without the need for daily direction from your manager
    • Preference for candidates with experience at our current stage and beyond (over 10,000 customers, $50-200M ARR range, high growth, lots of change and building internal infrastructure).

    TYPICAL DAY AS A MANAGER AT ALGOLIA:

    • As an engineering manager, you are able to adapt to every situation with the objective of having your team always productive. There is no typical day when being an engineering manager, it’s up to you and your creativity to make the most out of your time and other’s time in an inconsistent environment.
    • A typical day could consist of meeting with different stakeholders, being the communication bridge between them and your team members, saving them precious creative time.
    • You will regularly meet with your reports, ensuring they always have a safe space to share concerns and highlights with you. Everyone has different ways of communicating and needs to be mentored, you will adapt your agenda and personalize the meetings for each one of them individually.
    • As a leader and expert on managing development teams, you will make sure different rituals are respected and you will contribute actively to them.
    • As an experienced engineer, you will spend some time being an individual contributor while being an example for your most junior colleagues. You are not afraid to own the most complex tasks when the need comes.

    REQUIRED SKILLS:

    • Expertise on complex Ruby on Rails applications.
    • Expertise in frontend/javascript development (React is prefered).
    • Expertise in web technologies in general.
    • Good knowledge of infrastructures behind web applications (Knowledge of K8S & AWS appreciated).
    • Good knowledge of development best practices (automated tests, TDD, “extreme programming”, “Clean Code” by Martin Fowler...).
    • Good knowledge of the typical development environment (bash, git...)
    • Good knowledge of Agile methodologies.

    WE’RE LOOKING FOR SOMEONE WHO CAN LIVE OUR VALUES:

    • GRIT - Problem-solving and perseverance capability in an ever-changing and growing environment.
    • TRUST - Willingness to trust our co-workers and to take ownership.
    • CANDOR - Ability to receive and give constructive feedback.
    • CARE - Genuine care about other team members, our clients and the decisions we make in the company.
    • HUMILITY - Aptitude for learning from others, putting ego aside.

    #LI-Hybrid #LI-Remote

     

    REMOTE STRATEGY:

    Algolia’s workplace strategy, Hybrid Remote, is designed to harness the power of the opportunities that remote work offers both employees and the company, while also providing an engaging in-office experience for the times when an employee is in an office. Our workplace approach reflects the belief that an employee’s impact, contribution, and output are more important than their physical location.

    The majority of employees will be able to choose if, and when, they come into an office on a regular basis. There will be times when our people are asked to come into an office for “moments that matter:” activities like critical planning meetings and team social gatherings.  Beyond those events, 80% of our workforce may choose the location from where they work in the country in which they were hired.

    We have physical offices in San Francisco, NYC, Atlanta, Paris, London, Austin, and Bucharest. https://www.algolia.com/about/

    ABOUT US:

    Algolia prides itself on being a pioneer and market leader offering an AI-powered, API-First Search & Discovery platform that empowers 12,000+ businesses to compose customer experiences at internet scale that predict what their users want with blazing fast search and web browse experience. Algolia powers more than 30 billion search requests a week – four times more than Microsoft Bing, Yahoo, Baidu, Yandex and DuckDuckGo combined.

    Algolia is part of a cadre of innovative new companies that are driving the next generation of software development, creating APIs that make developers’ lives easier; solutions that are better than building from scratch and better than having to tweak monolithic SaaS solutions.

    In 2021, the company closed $150 million in series D funding and quadrupled its post-money valuation of $2.25 billion. Being well capitalized enables Algolia to continue to invest in its market leading platform, to better serve its thousands of customers–including Under Armor, Petsmart, Stripe, Gymshark, and Walgreens, to name just a few. 

    The team is headquartered in San Francisco with offices in Paris, London, New York, Austin, Atlanta, and Bucharest. To learn more, visit www.algolia.com.

    WHO WE'RE LOOKING FOR:

    We’re looking for talented, passionate people to build the world’s best search & discovery technology. As an ownership-driven company, we seek team members who thrive within an environment based on autonomy and diversity. We're committed to building an inclusive and diverse workplace. We care about each other and the world around us, and embrace talented people regardless of their race, age, ancestry, religion, sex, gender identity, sexual orientation, marital status, color, veteran status, disability and socioeconomic background.

    READY TO APPLY?

    If you share our values and our enthusiasm for building the world’s best search & discovery technology, we’d love to review your application!

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