Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done.

Airtable’s infrastructure is evolving to meet the needs of our fast growing engineering org. We are looking for backend engineers to join our team to help improve critical product infrastructure, with a focus on building systems that have a great developer experience and will scale as we grow.

We currently have openings on:

• Base Infrastructure: We are looking for strong engineers with leadership experience to join the Serving Infrastructure organization. You will primarily work on the Base Infrastructure team, whose key projects include building replication to support zero downtime failovers, optimizing performance and memory usage, and vertical scaling. We will also rely on you for orgwide impact on strategy and execution.

Compute: The compute pod builds and manages our Kubernetes-based platform that supports every service at Airtable, including all new AI services such as vector databases, AI evals store, and document extraction and understanding services. We have a lot of exciting foundational work in our roadmap, such as

• Overhauling our network stack and service discovery, to simplify service setup and strengthen security

• Region level disaster recovery, and bringing up compute platform from 0->1 in a new region

• Building custom Kubernetes operators for reliably managing some of our most critical workloads

• Data Infrastructure: The Data Infrastructure team’s mission is to enable data-driven decision making at Airtable by providing reliable, self-service, high-performance analytics infrastructure. We use technologies like Apache Spark, Kafka, and Apache Flink to process vast quantities of data in our data warehouse. This infrastructure is used by Airtable’s data engineers and analysts, as well as product developers building features powered by business data.
  The team is focused on scaling to petabyte volume, enabling sub-second streaming, tightening data governance, and delivering cost efficient ML-ready datasets to power Airtable’s native AI products with fresh, high quality signals.

• Storage: The Storage team’s mission is to accelerate product development at Airtable by providing scalable, reliable, and easy-to-use storage abstractions. We use RDS MySQL, DynamoDB, Redis, and TiDB. We’re looking for folks interested in distributed systems and databases who are excited to work on business-critical, petabyte-scale storage systems. You will own all aspects of building, running, and improving these systems, from the underlying infrastructure all the way to the developer-facing code abstractions.

Please note: while we employ a hybrid working model at Airtable (flexible in working from the office or elsewhere), we are only hiring in the following locations at this time:

• Based in the San Francisco Bay Area and are open to coming into our office (Embarcadero) at least ~2-3 times/week for team collaboration

• Based in New York City and are open to coming into our office (Soho) at least ~2-3 times/week for team collaboration

• Based remotely in the greater Seattle area

What you'll do

• Proactively identify and lead significant improvements to Airtable’s infrastructure, working across teams and product areas to maximize business and engineering impact.

• Work on systems-level problems in a complex design space where scalability, efficiency, reliability, and security really matter.

• Build clean, reusable, and maintainable abstractions that will be used by Airtable’s engineers for years to come.

• Take full ownership of components of Airtable’s infrastructure, including responsibility for reliability, performance, efficiency, and observability of our production environment.

Who you are

• You have at least 8 years of industry experience, and are excited about learning new technologies and applying them in a fast-changing environment. Please note this is not an early career position.

• You have experience in areas such as databases, distributed systems, service-oriented architectures, and data infrastructure.

• You derive joy from refactoring and building clean abstractions in order to make complex systems fun to develop on and easy to understand.

• You have a strong background in computer science with a degree in CS or a related field.

• You are currently based or willing to relocate to the San Francisco Bay Area or New York City for this role.

Airtable is an equal opportunity employer. We embrace diversity and strive to create a workplace where everyone has an equal opportunity to thrive. We welcome people of different backgrounds, experiences, abilities, and perspectives. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any characteristic protected by applicable federal and state laws, regulations and ordinances. Learn more about your EEO rights as an applicant**.**

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If you have a medical condition, disability, or religious belief/practice which inhibits your ability to participate in any part of the application or interview process, please complete our Accommodations Request Form and let us know how we may assist you. Airtable is committed to participating in the interactive process and providing reasonable accommodations to qualified applicants.

Compensation awarded to successful candidates will vary based on their work location, relevant skills, and experience.

Our total compensation package also includes the opportunity to receive benefits, restricted stock units, and may include incentive compensation. To learn more about our comprehensive benefit offerings, please check out Life at Airtable.

For work locations in the San Francisco Bay Area, Seattle, New York City, and Los Angeles, the base salary range for this role is:$196,000—$339,900 USD
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