Infrastructure Engineer

Staff Software Engineer, Stream Compute

Stripe

WHO WE ARE ABOUT STRIPE Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. ABOUT THE TEAM The Stream Compute team at Stripe builds and operates the infrastructure, tooling, and systems behind our Flink-powered stream processing systems. We're at the heart of several core asynchronous workflows, operating at significant scale and handling vast amounts of sensitive financial data. Our work powers intricate processes involving various critical financial operations and real-time analytics. We run globally distributed systems with high reliability and performance to meet Stripe's scaling, availability, and product needs, and we continually reduce operational toil by investing in automation and self-service tooling for upgrades, maintenance, and day-to-day operations. The team is distributed between Seattle, Toronto, and remote locations. What makes our team truly exciting is our commitment to our users: we ensure no event is dropped, state integrity is preserved, and exactly-once processing is supported as a first-class feature. Working at the intersection of real-time data processing and fintech innovation, we continuously push the boundaries of what's possible. Our focus on innovation, user experience, reliability, and compliance drives increased ROI and operational excellence, making us a crucial part of Stripe's success. WHAT YOU'LL DO You'll help define and deliver the next generation of Stripe's Flink-first stream compute infrastructure—driving innovation to meet extremely high availability targets at global scale. Partnering with infrastructure engineers, adjacent platform teams, and the product orgs that depend on Flink every day, you'll set a long-term technical direction that scales with Stripe's growth while enabling reliable, efficient operations for years to come. You'll work on the hardest problems in operating Flink in production—state management, exactly-once processing, performance isolation, and automated recovery—so teams across Stripe can confidently build stateful stream processing applications on top of it. RESPONSIBILITIES * Design, build, and operate stream compute infrastructure with Apache Flink at the center, alongside technologies like Kafka, Temporal, and AWS services * Partner with product and platform teams across Stripe to understand requirements, unblock Flink adoption, and improve how stream processing infrastructure is used end-to-end  * Define and implement operational best practices (e.g., shuffle sharding, cellular architecture, load shedding, automated state recovery) to improve resilience and reliability at scale  * Drive fleet-level automation and standardization ("pets" to "cattle") through self-service workflows, safer rollouts, and self-healing systems that reduce manual operations  * Lead initiatives that raise the bar on Flink availability and state durability (e.g., multi-region strategies, disaster recovery readiness, operational readiness reviews, incident learning)  * Evaluate and productionize Flink ecosystem capabilities (e.g., SQL, connectors, state backends) to improve developer experience and scalability without compromising reliability  * Work closely with the open-source community to identify opportunities for adopting new open-source features and contributing back to OSS WHO YOU ARE We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. MINIMUM REQUIREMENTS * This is a Staff-level role—that typically means 10+ years of experience building, operating, and evolving large-scale production systems.   * Experience as a technical lead for team(s) working on distributed systems, including scaling them in fast-moving environments * Hands-on experience with big data technologies such as Flink, Spark, Kafka, Pulsar, or Pinot * Experience developing, maintaining, and debugging distributed systems built with open-source tools * Experience building and scaling infrastructure as a product • Strong software engineering skills and a passion for big data distributed systems * Ability to write high-quality code (in programming languages like Go, Java, Scala, etc.) * Comfortable operating with high autonomy and ownership * Growth mindset and a willingness to learn quickly, explore ambiguous problem spaces, and dive deep when needed * Strong written and verbal communication skills, including the ability to produce clear technical documentation PREFERRED QUALIFICATIONS * Experience operating streaming infrastructure as a platform (e.g., Flink clusters, Kafka, Pulsar) for internal customers at scale * Deep hands-on experience authoring, optimizing, and operating real-time processing frameworks such as Flink, Spark Streaming, Storm, or Kafka Streams in production * Experience building or operating control planes for managing large-scale infrastructure * Open-source contributions to data processing or big data systems (Hadoop, Spark, Celeborn, Flink, etc.)

Software Engineer, Infrastructure (4-8 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. Airtable’s infrastructure is evolving to meet the needs of our fast growing engineering org. We are looking for infrastructure 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: * Asynchronous Serving: The Asynchronous Serving team is scaling critical systems used by Airtable’s most essential and up-and-coming product features, especially AI features. Upcoming projects include refactoring our background task queue to track its tasks in DynamoDB, adding quality of service to the job queue, and revamping a streaming service to handle 10x scale while being more resilient. * 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 * Developer Platform: The Developer Platform team sits at the intersection of all engineering at Airtable, focusing on building the internal tooling, frameworks, and CI/CD systems that power our product teams. We strive to streamline developer workflows - from build and test cycles to production deployments—and foster a best-in-class developer experience. Join us if you’re passionate about creating high-leverage solutions that enable engineers to deliver features quickly, reliably, and at scale. * Traffic: We are looking for founding members of our Traffic Engineering team. We recently formed a Traffic Infrastructure team to ensure that traffic across Airtable’s network and routing infrastructure is managed in a reliable, flexible, and secure manner. Some the upcoming work in this team's charter include supporting improved performance in our secondary regions (like EU), bolstering our rate limiting and admission control infrastructure, and creating a consolidated and unified stateless route execution platform. We are looking for software engineers experienced in areas of API gateway (Envoy/Nginx/Pingora), edge networking like CDN/WAF, and stateless request serving platforms. 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 4-8 years of industry experience, and are excited about learning new technologies and applying them in a fast-changing environment. Please note this is not a new grad 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. 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: $187,000—$260,000 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.

Software Engineer, Data Infrastructure

Figma

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! The Data Platform team at Figma builds and operates the foundational systems that power analytics, AI/ML, and data-driven decision-making across the company. We serve a diverse set of stakeholders, including AI researchers, machine learning engineers, data scientists, product engineers, and business teams that rely on data for insights and strategy. Our team owns and scales critical platforms such as the Snowflake data warehouse, ML Datalake, orchestration and pipeline infrastructure, and large-scale data ingestion and processing systems, managing all data flowing into and out of these platforms. Despite being a small team, we take on high-scale, high-impact challenges. In the coming years, we're focused on building the data infrastructure layer for Figma's AI-powered products, driving cost and performance optimizations across our data stack, scaling our ingestion and reverse ETL capabilities for new product use cases, and strengthening data quality, reliability, and compliance at every layer. If you're passionate about building scalable, high-performance data platforms that empower teams across Figma, we'd love to hear from you! This is a full-time role that can be held from one of our US hubs or remotely in the United States. WHAT YOU'LL DO AT FIGMA: * Design and build large-scale distributed data systems that power analytics, AI/ML, and business intelligence across Figma. * Develop batch and streaming solutions to ensure data is reliable, efficient, and scalable across the company. * Manage and evolve core platforms like Snowflake, our ML Datalake, orchestration infrastructure, and real-time ingestion systems. * Improve data reliability, consistency, and compliance, ensuring high-quality data for engineering, research, and business stakeholders. * Identify and drive cost optimization opportunities across data processing, compute infrastructure, and storage. * Collaborate with AI researchers, data scientists, product engineers, and business teams to understand data needs and build scalable solutions. * Drive technical decisions and best practices for data ingestion, orchestration, processing, and storage. * Mentor and support engineers, fostering a culture of learning and technical excellence. WE’D LOVE TO HEAR FROM YOU IF YOU HAVE: * 5+ years of backend or infrastructure engineering experience, including designing and building distributed data infrastructure at scale. * Strong expertise in batch and streaming data processing technologies such as Spark, Flink, Kafka, or Airflow/Dagster. * Proven track record of impact-driven problem-solving in fast-paced environments, with a strong focus on high-quality, reliable, and performant systems. * Excellent technical communication skills, with experience collaborating across both technical and non-technical stakeholders. * Experience mentoring engineers and fostering a culture of learning and technical excellence. WHILE IT’S NOT REQUIRED, IT’S AN ADDED PLUS IF YOU ALSO HAVE: * Familiarity with our stack, including Golang, Python, SQL, frameworks such as dbt, and technologies like Spark, Kafka, Snowflake, and Dagster. * Experience building data infrastructure for AI/ML pipelines, including model serving, feature stores, or dataset compliance. * Experience with reverse ETL, personalization platforms, or real-time event ingestion systems. * Experience with data governance, access control, and cost optimization strategies for large-scale data platforms. * The ability to navigate ambiguity, take ownership, and drive projects from inception to execution. At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you're excited about this role but your past experience doesn't align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure If based in Figma’s San Francisco or New York hub offices, this role has the annual base salary range stated below.     Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 80% and 100% of range. Please discuss your specific work location with your recruiter for more information.  Figma offers equity to employees, as well a competitive package of additional benefits, including health, dental & vision, retirement with company contribution, parental leave & reproductive or family planning support, mental health & wellness benefits, generous PTO, company recharge days, a learning & development stipend, a work from home stipend, and cell phone reimbursement.  Figma also offers sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles. Figma’s compensation and benefits are subject to change and may be modified in the future. Annual Base Salary Range: $153,000—$376,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.  Examples of accommodations include but are not limited to:  * Holding interviews in an accessible location * Enabling closed captioning on video conferencing * Ensuring all written communication be compatible with screen readers * Changing the mode or format of interviews  To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice.