Software Engineer, Infrastructure (8+ YOE)

Airtable

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. The Compute Platform team is responsible for building and evolving the infrastructure that powers Airtable’s services at scale. We enable engineers across the company to build, deploy, and operate reliable services on Kubernetes with strong security, governance, and performance guardrails. We are looking for an engineer to help lead the next phase of platform maturity in how we run Kubernetes at Airtable. This is a role that has engineering wide impact. If you’re excited about building internal platforms, shaping infrastructure strategy, and partnering closely with product and security teams to power a rapidly growing enterprise business, we’d love to hear from you. WHAT YOU’LL DO: BUILD AND EVOLVE AIRTABLE’S COMPUTE PLATFORM * Design, implement, and scale core Kubernetes platform capabilities used across ~70 clusters, spread across multiple environments. * Lead foundational modernization efforts such as migrating to a new CNI plugin to overhaul IP security rule management across clusters and regions * Rewrite our core deployment service from Typescript to Golang and adopt performant Kubernetes operator patterns to eliminate scaling bottlenecks on our larger clusters RAISE THE BAR ON PLATFORM MATURITY * Improve developer experience around new service creation, deployment workflows, and operational best practices * Partner with Security to implement governance controls, least privilege access, image signing, and enterprise-grade infrastructure safeguards * Define and uphold operational excellence standards across the platform by defining good SLOs, measuring and upholding them LEAD THROUGH TECHNICAL INFLUENCE * Spend roughly 70% of your time in hands-on engineering and 30% in design reviews, mentorship, and cross-team collaboration * Review architecture proposals and guide high-impact infrastructure decisions * Mentor engineers on distributed systems and Kubernetes platform design * Collaborate closely with developers building and deploying services across Airtable WHO YOU ARE: * 8+ years of software engineering experience, with deep expertise building and operating a Kubernetes based internal service platform,  * Strong understanding of Kubernetes internals, including controllers/operators, CRDs, networking, and cluster architecture * Knowledge of Infrastructure as Code tools such as Terraform, CloudFormation, OpenTofu, Pulumi, or similar * Experience with CI/CD and deployment tooling such as Spinnaker, ArgoCD, Flux, Jenkins, or similar * Clear, thoughtful communicator who collaborates effectively across many engineering teams * Empathetic partner to product engineers, with a strong sense of ownership and autonomy * Preferably experience with AWS infrastructure and EKS 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.  VEVRAA-Federal Contractor 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 Please see our Privacy Notice for details regarding Airtable’s collection and use of personal data relating to the application and recruitment process by clicking here. For applicants that live in or have a link to Australia, please see this Privacy Collection Statement for details regarding Airtable's collection and use of personal data relating to the application and recruitment process. 🔒 Stay Safe from Job Scams All official Airtable communication will come from an @airtable.com email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at hr@airtable.com. Learn more about avoiding job scams here.

Airtable

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 mission is to bring the power of computing and software development to everyone. We are developing a powerful and extensible platform that our customers can leverage to solve a variety of different problems and workflows. We’ve seen our most sophisticated customers use the product to run global processes across thousands of employees, coordinate precision manufacturing pipelines, and consolidate previously siloed mission-critical data into a single source of truth. The complexity of these use cases requires us to be extremely thoughtful about how we design and implement new functionality in the product and make sure it’s both easy to use and comprehend for our customers and maintainable for us. As a Full-Stack, Backend engineer at Airtable, you will have the opportunity to work with customers to deeply understand their needs and workflows. You will collaborate with cross-functional partners across product management, design, research and data science to create innovative new features that enable our customers to do their best work. You will be responsible for owning and executing the end-to-end implementation of these new features that will contribute to making our toolkit even more powerful and successful. We currently have openings on: * The Admin & Governance Team (Full-Stack/BE) ensures Airtable is secure, compliant, and enterprise-ready. It owns key admin capabilities like the Admin Panel, SSO, and audit systems, as well as foundational features like User Groups. This team's mission is to accelerate organizational value for the largest customers with enterprise-first governance and controls. * The Omni Capability & Quality Team (Full-Stack/BE) brings the power of AI directly to Airtable end users—helping them search, navigate, and operate their bases with ease. While other teams focus on embedding AI throughout the platform and building tools for creators, our mission is simple: make AI immediately helpful with little to no setup. From the moment someone opens a base, installs a solution, or uses a template, AI should be there—ready to assist. Our pod also builds much of Airtable's AI platform that helps other engineering teams produce quality AI products. * The Platform Interoperability Team (Full-Stack/BE) builds the systems that allow agents, integrations, and connected workflows to interact with Airtable as a platform. As AI agents become a primary interface for how work gets done, we're ensuring Airtable is a first-class participant in that ecosystem. This team's mission is to make Airtable the most capable and well-connected platform in the agentic ecosystem. We're building the infrastructure that lets humans and agents alike treat Airtable as a source of truth they can reliably act on, whether through direct integrations, AI-powered workflows, or large-scale data operations. 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 WHAT YOU'LL DO * Design and build systems that dramatically increase the scalability and performance of all applications built on Airtable, to earn the trust of our customers through predictable, reliable, and thoughtful interactions. * Work at the deep backend of the Airtable software stack within the Enterprise Product portion of the org, just above the Infrastructure org. * Partner with product managers, designers, and data scientists to understand the needs of potential users and build a product that unlocks their potential. * Work alongside and learn from a talented group of engineers with a diverse range of experiences and backgrounds. WHO YOU ARE * You have 8+ years of industry experience with modern systems development, ideally database internals development. * You are interested in programming in TypeScript and Rust. * You are excited by a product-oriented backend role, i.e. not pure Infrastructure. * You have a good understanding of modern web technologies and large-scale web application architecture. * You have a background in computer science or a related field. * You believe the best product is the one that helps users accomplish their goals while growing the business. * You take a thoughtful approach to decision making; knowing when to move fast and when to do things right. * You have strong convictions, weakly held and assume validation and iteration are a given to produce the best results. * You show strong ownership instincts and sweat the details. * You are currently based and/or will be based in the San Francisco Bay Area or New York City. 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.  VEVRAA-Federal Contractor 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: $213,000—$339,900 USD Please see our Privacy Notice for details regarding Airtable’s collection and use of personal data relating to the application and recruitment process by clicking here. For applicants that live in or have a link to Australia, please see this Privacy Collection Statement for details regarding Airtable's collection and use of personal data relating to the application and recruitment process. 🔒 Stay Safe from Job Scams All official Airtable communication will come from an @airtable.com email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at hr@airtable.com. Learn more about avoiding job scams here.

Databricks

P-186 At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Founded in 2013 by the original creators of Apache Spark™, Databricks has grown from a tiny corner office in Berkeley, California to a global organization with over 1000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest growing SaaS companies in the world. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is critical to making customers successful on our platform. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. Modern data analysis employs sophisticated methods such as machine learning that go well beyond the roll-up and drill-down capabilities of traditional SQL query engines. As a software engineer on the Runtime team at Databricks, you will be building the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science. Below are some example projects: Apache Spark™: Develop the de facto open source standard framework for big data. Data Plane Storage: Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store. Delta Lake: A storage management system that combines the scale and cost-efficiency of data lakes, the performance and reliability of a data warehouse, and the low latency of streaming. Its higher level abstractions and guarantees, including ACID transactions and time travel, drastically simplify the complexity of real-world data engineering architecture. Delta Pipelines: It's difficult to manage even a single data engineering pipeline. The goal of the Delta Pipelines project is to make it simple and possible to orchestrate and operate tens of thousands of data pipelines. It provides a higher level abstraction for expressing data pipelines and enables customers to deploy, test & upgrade pipelines and eliminate operational burdens for managing and building high quality data pipelines. Performance Engineering: Build the next generation query optimizer and execution engine that's fast, tuning free, scalable, and robust. What we look for: * BS in Computer Science, related technical field or equivalent practical experience. * Optional: MS or PhD in databases, distributed systems. * Comfortable working towards a multi-year vision with incremental deliverables. * Driven by delivering customer value and impact. * 8+ years of production level experience in either Java, Scala or C++. * Strong foundation in algorithms and data structures and their real-world use cases. * Experience with distributed systems, databases, and big data systems (Apache Spark™, Hadoop).   Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.   Local Pay Range $192,000—$260,000 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.