{"schemaVersion":"jobsearcher.job.v1","id":"7423853c1e9f318d86cd9aa4","url":"https://jobsearcher.com/jobs/7423853c1e9f318d86cd9aa4","canonicalUrl":"https://jobsearcher.com/jobs/7423853c1e9f318d86cd9aa4","title":"Staff Software Engineer, Realtime Data","description":"At Tecton, we solve the complex data problems in production machine learning. Tecton's feature platform makes it simple to activate data for smarter models and predictions, abstracting away the complex engineering to speed up innovation.\r\nTecton's founders developed the first Feature Store when they created Uber's Michelangelo ML platform, and we're now bringing those same capabilities to every organization in the world.\r\nTecton is funded by Sequoia Capital, Andreessen Horowitz, and Kleiner Perkins, along with strategic investments from Snowflake and Databricks. We have a fast-growing team that's distributed around the world, with offices in San Francisco and New York City. Our team has years of experience building and operating business-critical machine learning systems at leading tech companies like Uber, Google, Meta, Airbnb, Lyft, and Twitter.\r\nTecton's Realtime Data team builds high-performance online infrastructure that powers AI inference at 100K+ QPS with millisecond latency. Our services have tight SLAs on availability and latency and are often used in mission-critical applications by enterprises.\r\nThis position is open to candidates based near our hubs in San Francisco, New York City, and Seattle.\r\nResponsibilities\r\nDevelop and communicate a clear 18-month technical vision to align the team and guide our development efforts\r\nArchitect and implement solutions to scale our serving platform to handle millions of requests per second with low latency and high availability\r\nEvolve Tecton's query execution engine to support complex, multi-stage queries with user-defined Directed Acyclic Graphs (DAGs)\r\nBuild an integrated observability solution that provides an exceptional operational experience with logs, metrics, and traces\r\nLaunch our serving infrastructure across multiple cloud platforms, ensuring compliance with security protocols and data residency requirements\r\nAssess and prioritize tasks, demonstrating a keen awareness of performance-critical areas\r\nQualifications\r\n7+ years of experience in programming, debugging, and performance tuning distributed and/or highly concurrent software systems\r\nDegree in Computer Science, Software Engineering, or a related field, or equivalent practical experience, with strong proficiency in building high-throughput infrastructure\r\nExperience with Database Query Engines\r\nExperience with at least one of AWS, GCP\r\nExperience with low-latency online storage like DynamoDB, Redis, and BigTable\r\nExperience with Data warehouses like Snowflake, BigQuery, and Object Storage like S3\r\nBenefits and Compensation\r\nThe estimated US base salary range for this position is $216,000–$258,000 annually for employees based within California & New York. In addition to base salary, we offer competitive equity & comprehensive benefits such as medical, dental, vision, life, 401(k), flexible paid time off, 10 paid holidays each calendar year, sick time, leave of absence as per the FMLA and other relevant leave laws. Individual compensation packages are based on multiple factors such as location, level, role scope, and complexity, as well as additional job-related factors such as skills, experience, and expertise.\r\nRemote Work Policy\r\nTecton is a remote-friendly company that employs a hybrid working policy for employees based in the SF, NY, and Seattle areas. We believe that working in-person helps us stay connected, collaborate faster, and promote a strong culture while still providing the flexibility of working from home. We expect SF & NY employees to be in the office at least two designated days per week, and those in the Seattle area at least two designated days per month.\r\nEqual Opportunity and EEO\r\nTecton values diversity and is an equal opportunity employer committed to creating an inclusive environment for all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other applicable legally protected characteristics. If you would like to request any accommodations from the application through to the interview, please contact us at recruitingteam@tecton.ai.\r\nLegal\r\nThis employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.\r\nJ-18808-Ljbffr","company":"SupportFinity","rawCompany":"supportfinity","city":"Seattle","state":"WA","isRemote":false,"isActive":false,"createdAt":"2026-04-09T15:39:50.522Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1299.00","title":"Computer Occupations, All Other","slug":"computer-occupations-all-other"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Staff Software Engineer, Realtime Data","description":"At Tecton, we solve the complex data problems in production machine learning. Tecton's feature platform makes it simple to activate data for smarter models and predictions, abstracting away the complex engineering to speed up innovation.\r\nTecton's founders developed the first Feature Store when they created Uber's Michelangelo ML platform, and we're now bringing those same capabilities to every organization in the world.\r\nTecton is funded by Sequoia Capital, Andreessen Horowitz, and Kleiner Perkins, along with strategic investments from Snowflake and Databricks. We have a fast-growing team that's distributed around the world, with offices in San Francisco and New York City. Our team has years of experience building and operating business-critical machine learning systems at leading tech companies like Uber, Google, Meta, Airbnb, Lyft, and Twitter.\r\nTecton's Realtime Data team builds high-performance online infrastructure that powers AI inference at 100K+ QPS with millisecond latency. Our services have tight SLAs on availability and latency and are often used in mission-critical applications by enterprises.\r\nThis position is open to candidates based near our hubs in San Francisco, New York City, and Seattle.\r\nResponsibilities\r\nDevelop and communicate a clear 18-month technical vision to align the team and guide our development efforts\r\nArchitect and implement solutions to scale our serving platform to handle millions of requests per second with low latency and high availability\r\nEvolve Tecton's query execution engine to support complex, multi-stage queries with user-defined Directed Acyclic Graphs (DAGs)\r\nBuild an integrated observability solution that provides an exceptional operational experience with logs, metrics, and traces\r\nLaunch our serving infrastructure across multiple cloud platforms, ensuring compliance with security protocols and data residency requirements\r\nAssess and prioritize tasks, demonstrating a keen awareness of performance-critical areas\r\nQualifications\r\n7+ years of experience in programming, debugging, and performance tuning distributed and/or highly concurrent software systems\r\nDegree in Computer Science, Software Engineering, or a related field, or equivalent practical experience, with strong proficiency in building high-throughput infrastructure\r\nExperience with Database Query Engines\r\nExperience with at least one of AWS, GCP\r\nExperience with low-latency online storage like DynamoDB, Redis, and BigTable\r\nExperience with Data warehouses like Snowflake, BigQuery, and Object Storage like S3\r\nBenefits and Compensation\r\nThe estimated US base salary range for this position is $216,000–$258,000 annually for employees based within California & New York. In addition to base salary, we offer competitive equity & comprehensive benefits such as medical, dental, vision, life, 401(k), flexible paid time off, 10 paid holidays each calendar year, sick time, leave of absence as per the FMLA and other relevant leave laws. Individual compensation packages are based on multiple factors such as location, level, role scope, and complexity, as well as additional job-related factors such as skills, experience, and expertise.\r\nRemote Work Policy\r\nTecton is a remote-friendly company that employs a hybrid working policy for employees based in the SF, NY, and Seattle areas. We believe that working in-person helps us stay connected, collaborate faster, and promote a strong culture while still providing the flexibility of working from home. We expect SF & NY employees to be in the office at least two designated days per week, and those in the Seattle area at least two designated days per month.\r\nEqual Opportunity and EEO\r\nTecton values diversity and is an equal opportunity employer committed to creating an inclusive environment for all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other applicable legally protected characteristics. If you would like to request any accommodations from the application through to the interview, please contact us at recruitingteam@tecton.ai.\r\nLegal\r\nThis employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.\r\nJ-18808-Ljbffr","datePosted":"2026-04-09T15:39:50.522Z","dateModified":"2026-04-09T15:39:50.522Z","hiringOrganization":{"@type":"Organization","name":"SupportFinity","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seattle","addressRegion":"WA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"7423853c1e9f318d86cd9aa4"},"url":"https://jobsearcher.com/jobs/7423853c1e9f318d86cd9aa4"}}