Airtable

About the Company

Airtable's AI app platform is the easiest way to build custom apps that accelerate your business operations. Turn your data into custom apps, automations, and AI agents -- no technical expertise required. Your teams can move from idea to impact in minutes.

More than 500,000 organizations, including 80% of the Fortune 100, use Airtable to manage, build their businesses and enable citizen development. The result? Faster innovation, better customer experiences, enterprise-grade governance, and a modern way to work across teams.

We're hiring! Visit airtable.com/careers to learn more.

Listed Jobs

Company Name

Airtable

Job Title

Software Engineer, Product Frontend (2-8 YOE)

Job Description

**Job Title** Software Engineer, Product Frontend (2‑8 YOE) **Role Summary** Front‑end‑leaning full‑stack engineer responsible for designing, building, and delivering high‑quality, performant UI features for Airtable’s product platform, including core UI, AI‑assisted tools, and builder experiences. Works cross‑functionally with product, design, research, and data science to translate customer needs into reliable, user‑centric solutions. **Expectations** - 2‑5 years of professional experience in modern web development. - Proficiency in JavaScript/React and comfortable working across the stack (Node.js, SQL, AWS). - Ability to own end‑to‑end feature implementation, from specification to production. - Strong collaboration and communication skills; capable of gathering requirements directly from users. - Ownership mindset with attention to detail and balanced decision‑making (speed vs. quality). **Key Responsibilities** - Spec, design, and implement UI components and features that are fast, consistent, and user‑friendly. - Develop and maintain full‑stack code (React, HTML/CSS, Node.js, SQL, AWS) for end‑to‑end product functionality. - Partner with product managers, designers, and data scientists to define requirements and deliver solutions that unlock user value. - Contribute to complex backend systems such as permissions, commenting, and notifications. - Participate in AI‑focused initiatives (Omni, Builder Experience) to embed AI assistance throughout the platform. - Ensure code quality, performance, and reliability through testing, code reviews, and best practices. - Engage with customers to validate assumptions, gather feedback, and iterate on features. **Required Skills** - JavaScript/TypeScript; strong expertise in React. - HTML5, CSS3, responsive design. - Node.js and experience building REST/GraphQL APIs. - SQL and relational database fundamentals. - Basic AWS services (e.g., EC2, S3, Lambda) and cloud‑deployment concepts. - Git version control and collaborative workflow (pull requests, code reviews). - Automated testing (unit/integration) and debugging proficiency. - Excellent problem‑solving, communication, and teamwork abilities. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Software Engineering, or a related field, **or** equivalent practical experience. - No specific certifications required.

San francisco bay, United states

On site

Mid level

26-12-2025

Company Name

Airtable

Job Title

Software Engineer, Observability

Job Description

**Job Title** Software Engineer, Observability **Role Summary** Design, implement, and scale enterprise‑level observability solutions that enable telemetry, monitoring, and tracing across a large, multi‑service environment. Own a multi‑year roadmap, lead technical decisions, and mentor a growing infrastructure engineering team while driving cost optimization and performance enhancements. **Expectations** - 6+ years of professional software development experience. - 3+ years focused on observability, infrastructure, or data‑pipeline scale projects. - Proven track record building production‑grade logging, metrics, or tracing systems. **Key Responsibilities** - Architect end‑to‑end observability pipelines for logs, metrics, and traces using Kubernetes, Prometheus, Grafana, Datadog, OpenTelemetry, and related tooling. - Evaluate, prototype, and integrate emerging technologies to improve visibility and reliability. - Mentor and coach infrastructure engineers, establishing best practices and design patterns. - Optimize data‑pipeline performance, scalability, and storage costs. - Extend observability into AI/ML workflows by instrumenting prompts, model inputs/outputs, and performance metrics. - Collaborate with cross‑functional teams to define data‑driven operational goals. **Required Skills** - Strong knowledge of distributed systems concepts, data‑streaming frameworks, and container orchestration (Kubernetes). - Advanced proficiency with Prometheus, Grafana, Datadog, OpenTelemetry, and related telemetry tools. - Programming expertise in Go, Python, or Java for building observability tooling and adapters. - Experience with large‑scale log/metric storage and processing (e.g., Loki, Thanos, Cortex, Elasticsearch). - Excellent verbal and written communication for articulating architectural plans and trade‑offs. **Required Education & Certifications** - Bachelor’s degree (or equivalent) in Computer Science, Software Engineering, or a related technical field. - Relevant certifications (e.g., Certified Kubernetes Administrator, Prometheus Operator) are a plus but not mandatory.

San francisco, United states

On site

Mid level

16-01-2026

Company Name

Airtable

Job Title

Software Engineer, Infrastructure (2-8 YOE)

Job Description

**Job Title** Software Engineer, Infrastructure **Role Summary** Designs, builds, and maintains critical backend and infrastructure systems that power core product services. Works with distributed databases, Kubernetes-based compute platforms, data pipelines, developer tooling, storage abstractions, and network routing. Focuses on scalability, reliability, efficiency, and observability while delivering clean, reusable code. **Expectations** - Own end-to-end components of infrastructure, from architecture to production operations. - Lead significant improvement initiatives across teams to maximize business and engineering impact. - Deliver high‑quality, maintainable solutions that serve engineering and product needs for years. **Key Responsibilities** - Develop and enhance in‑memory databases, streaming systems (Kafka, Spark, Flink), and storage layers (RDS, DynamoDB, Redis, TiDB). - Engineer replication, fail‑over, and disaster‑recovery flows for zero‑downtime service continuity. - Build and maintain Kubernetes operators, service discovery, and network stacks for all micro‑services. - Design and implement network routing, traffic engineering, and security controls for multi‑region deployments. - Build and maintain CI/CD pipelines, internal tooling, and developer platforms to streamline delivery. - Optimize performance, memory usage, and cost efficiency of data‑intensive services. - Collaborate with cross‑functional teams, conduct architecture reviews, and mentor peers. **Required Skills** - 2–8 years of software engineering experience in backend and infrastructure roles. - Deep knowledge of distributed systems, database internals, and large‑scale memory/compute architectures. - Proficiency in Go, Rust, or Java (preferred). - Hands‑on experience with Kubernetes, Docker, operator patterns, and cloud networking. - Strong background with message queues, stream processing, and data pipeline frameworks (Kafka, Spark, Flink). - Familiarity with relational and NoSQL databases (MySQL, DynamoDB, Redis). - Solid understanding of system‑level performance tuning, observability, and reliability engineering. - Experience with security best practices for networking, authentication, and infrastructure as code. **Required Education & Certifications** - Bachelor’s (or higher) degree in Computer Science, Software Engineering, or related field. - Certifications in cloud platforms (AWS, GCP, Azure) or Kubernetes are a plus.

Buffalo-niagara falls, United states

On site

Junior

07-02-2026