{"id":"e1o904e6u8","title":"Senior Production Engineer","posted_at":"2026-02-10T23:39:58.000Z","apply_url":"https://jobs.ashbyhq.com/snowflake/3861127d-444b-4352-a490-c1bd6aa74715/application","locations":["US-CA-Menlo Park"],"employment_type":"full_time","workplace_type":null,"seniority_level":"senior","description_language":"en","source_name":"ashby","source_url":"https://jobs.ashbyhq.com/snowflake/3861127d-444b-4352-a490-c1bd6aa74715","salary":{"min":200000,"max":287500,"currency":"USD","period":"year","display":"$200,000–$287,500"},"job_summary":null,"job_description":null,"description_text":"At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.\n\nThe Production Engineering Team at Snowflake is responsible for driving the reliability tools and processes that ensure Snowflake consistently delivers a top-tier experience for its customers. This includes championing Service Level Objectives (SLOs) across all of Engineering, building the infrastructure necessary for rapid detection of reliability issues, and deeply engaging in system health verification after releases. We think about production reliability end-to-end: how do we proactively prevent issues, quickly detect and diagnose problems when they arise, and efficiently resolve them to minimize impact. We drive the culture of learning from every incident.\n\n## AS A SENIOR PRODUCTION ENGINEER AT SNOWFLAKE, YOU WILL:\n\n- Engage in and improve the whole lifecycle of services—from inception and design, deployment, operation, and refinement.\n- Scale systems sustainably by automation; Drive changes that improve reliability and velocity.\n- Establish and practice low noise incident response rotations and blameless postmortems to prevent problem recurrence.\n- Write and review code. Develop documentation and capacity plans, and debug the hardest problems on large distributed systems.\n- Collaborate with software engineers to establish, maintain, and optimize functional and performance SLOs.\n- Participate in a 12x7 on-call rotation.\n\n## OUR IDEAL SENIOR PRODUCTION  ENGINEER WILL HAVE:\n\n- Bachelor's degree in Computer Science, a related technical field involving software engineering, or equivalent practical experience.\n- Proficient in at least one modern programming language\n- Systematic problem-solving methods, effective communication skills.\n\n## MANDATORY REQUIREMENTS FOR THE ROLE:\n\n● The position may require access to U.S. export-controlled technologies, technical  data, or sensitive government data.\n\n● Employment with Snowflake is contingent on Snowflake verifying that you: (i) may legally access U.S. export-controlled technologies, technical data, or sensitive government data; or (ii) are eligible to obtain, in a timely manner, any necessary license or other authorization(s) from the U.S. Government to allow access to U.S. export-controlled technology, technical data, or sensitive government data.\n\n## PREFERRED QUALIFICATIONS:\n\n- Experience with capacity and load testing of the distributed applications\n- Experience with containers and container orchestration systems such as Kubernetes\n- Experience in deploying, managing, and operating scalable and fault tolerant Linux infrastructure.\n- Experience with the SLO-driven reliability management processes.\n- Hands on experience with one of more public cloud providers (AWS, Azure, or GCP)\n- Ability to prioritize tasks and work independently.\n\nEvery Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.\n\nSnowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.\n\nHow do you want to make your impact?\n\nFor jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com","visa_sponsorship":null,"experience_years_min":null,"job_address":null,"job_city":null,"job_state":null,"job_country":null,"location_lat":37.4853181,"location_lng":-122.17727540000001,"closed_at":null,"apply_with_ai_eligible":true,"keywords":["infrastructure","documentation","communication","Collaborate","distributed","performance","fast-moving","engineering","end-to-end","enterprise","production","Kubernetes","automation","Snowflake","standards","scalable","security","customer","testing","agentic","develop","design","Growth","debug","Azure","Linux","data","GCP","AWS","AI"],"company":{"name":"Snowflake","slug":"snowflake","logo_url":"https://img.logo.dev/snowflake.com?token=pk_fWx5G5QrQMm-0Ud8BW3mBg&size=64&format=png","description":"Snowflake provides a cloud-based data and application platform designed to eliminate data silos and enable the mobilization of data for enterprises.","website_url":"https://snowflake.com","linkedin_url":"https://www.linkedin.com/company/snowflake-computing","glassdoor_url":"https://www.glassdoor.com/Overview/Working-at-Snowflake-EI_IE928471.11,20.htm","x_url":"https://x.com/Snowflake","instagram_url":"https://www.instagram.com/_snowflake_inc/","youtube_url":"https://www.youtube.com/@SnowflakeInc","github_url":"https://github.com/snowflakedb","huggingface_url":null,"tiktok_url":null,"crunchbase_url":null,"facebook_url":null,"employee_count_range":"5001-10000","employee_count":null,"founded_year":2012,"headquarters":{"address":"Suite 3A, 106 East Babcock Street, Bozeman, MT 59715, United States","city":"Bozeman, MT","country":"US","lat":45.6794293,"lng":-111.044047},"industry":"software","company_type":"enterprise","total_funding_usd":null,"locations":["AE-Dubai","AU-Brisbane-MSO","AU-Melbourne","AU-Perth-WW","AU-Sydney","Atlanta, GA","Auckland, New Zealand","Austin, TX","BR-Sao Paulo-WW","Bangalore-Mso, India","Bangalore-mso","Bellevue, WA","Berlin-Das Center, Germany","Berlin-Trion Building, Germany","Boston, MA","CA-Ontario-Toronto","CH-Zurich-MSO","CH-Zurich-Observe","CN-Beijing-MSO","CN-Shanghai-WW","CR-San Jose","Chicago, IL","DE-Berlin-Trion Building","DE-Munich-MSO","DK-Copenhagen-MSO","Delhi, India","Denver, CO","Dublin, CA","ES-Madrid-MSO","FR-Paris","Fins Only-KR-Seoul-MSO","Fins Only-US-CA-San Mateo","Fins Only-US-VA-Reston-CrunchyData","FutureSite-DE-Berlin","GB-London","ID-Jakarta-MSO","IE-Dublin-WW","IL-Tel Aviv-MSO","IN-Bangalore-MSO","IN-Mumbai-MSO","IN-Pune","IT-Milan-MSO","Indianapolis, IN","JP-Tokyo","KR-Seoul","London, United Kingdom","Los Angeles, CA","McLean, VA","Menlo Park, CA","Mumbai, India","Mumbai-Mso, India","Munich-Mso, Germany","Munich-mso","NL-Amsterdam","NO-Oslo-MSO","NZ-Auckland-MSO","New York, NY","Ontario-Toronto, CA","PH-Manila-WW","PL-Warsaw","PL-Warsaw-Lixa C","Pittsburgh, PA","Pune","Pune, India","SA-Riyadh-MSO","SE-Stockholm-MSO","SG-Singapore","Seattle, WA","Sydney","Sydney, Australia","TR-Istanbul-MSO","Tel Aviv-Mso, IL","Tel Aviv-mso, IL","Tokyo","US-CA-Dublin","US-CA-Menlo Park","US-CO-Denver","US-GA-Atlanta","US-MA-Boston","US-NY-New York","US-VA-McLean","US-WA-Bellevue"]},"structured_data":{"@context":"https://schema.org","@type":"JobPosting","@id":"https://worklittle.com/jobs/e1o904e6u8#job","title":"Senior Production Engineer","description":"Senior Production Engineer at Snowflake. 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