{"schemaVersion":"jobsearcher.job.v1","id":"6630267fff4c72fd468a0d12","url":"https://jobsearcher.com/jobs/6630267fff4c72fd468a0d12","canonicalUrl":"https://jobsearcher.com/jobs/6630267fff4c72fd468a0d12","title":"Senior Software Engineer - Observability and Reliability","description":"Senior Software Engineer - Observability and Reliability\nAbout the Role\nWe are growing the engineering team and looking for engineers who have the chops to build and deliver world-class technology. You will be part of a talented team of engineers with a shared mission to make data easily accessible.\nWhat You Will Be Doing\nBuild observability tools and platforms, including: metrics, logging, distributed tracing, dashboarding, alerting, application performance management\nBuild with modern tools and languages like Go, Open Telemetry and Kubernetes\nParticipate in on-call rotation and ensure uptime of services\nCreate runtime tools/processes that optimize cloud triaging and limit downtime\nDefine best practices around making our systems and services measurable\nCollaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies. We expect successful candidates to be coding a majority of their time\nQualifications We Need\nStrong Computer Science fundamentals\n5+ years industry experience building and maintaining high-quality software, especially software other engineers use\nYou apply a product mindset to infrastructure systems and feel accomplished enabling others\nDesire to be a great teammate and have fun at work\nStrong sense of craftsmanship, and a healthy academic curiosity\nQualifications We Want (also, skills you'll learn!)\nExperience building systems for data analytics\nDistributed systems monitoring and profiling skills\nKnowledge of cloud application security models\nAdministered cloud service infrastructure (GCP, AWS, Azure)\nStartup experience\nAdditional Job details\nAdditional Job details\nThe base salary range for this position is $150k - $220k annually.\nCompensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package.\n\nAbout us:\nSigma is the AI apps and analytics platform connected to the cloud data warehouse. Using Sigma, business and technical teams can build intelligent, production-ready AI apps that accelerate and automate operational workflows. Sigma provides a spreadsheet interface, SQL and Python editors, visual builders, and native AI to help teams turn live data into interactive applications, analysis, reports, and embedded experiences.\nSigma announced its $200M in Series D financing in May 2024, to continue transforming BI through its innovations in AI infrastructure, data application development, enterprise-wide collaboration, and business user adoption. Spark Capital and Avenir Growth Capital co-led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures.The Series D funding, raised at a valuation 60% higher than the company's Series C round three years ago, promises to further accelerate Sigma's growth.\nCome join us!\nBenefits For Our Full-Time Employees:\nEquity\nGenerous health benefits\nFlexible time off policy. Take the time off you need!\nPaid bonding time for all new parents\nTraditional and Roth 401k\nCommuter and FSA benefits\nLunch Program\nDog friendly office\nSigma Computing is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We look forward to learning how your experience can enable all of us to grow.\nNote: We have an in-office work environment in all our offices in SF, NYC, and London.\nOur Privacy Practices\nWhen you submit a job application on this site, Sigma processes your personal data for the purposes of evaluating your candidacy for employment at Sigma and as otherwise needed throughout the recruitment and hiring process. Please review Sigma's Candidate Privacy Notice for more details. Please note that your personal data may be transferred to a country other than the one in which it was provided (including to USA, the UK, and Canada).\nSigma's use of AI\nThis hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.","company":"Sigma Computing","rawCompany":"sigma computing","city":"Millbrae","state":"CA","isRemote":false,"isActive":true,"createdAt":"2026-04-09T07:55:49.436Z","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":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Software Engineer - Observability and Reliability","description":"Senior Software Engineer - Observability and Reliability\nAbout the Role\nWe are growing the engineering team and looking for engineers who have the chops to build and deliver world-class technology. You will be part of a talented team of engineers with a shared mission to make data easily accessible.\nWhat You Will Be Doing\nBuild observability tools and platforms, including: metrics, logging, distributed tracing, dashboarding, alerting, application performance management\nBuild with modern tools and languages like Go, Open Telemetry and Kubernetes\nParticipate in on-call rotation and ensure uptime of services\nCreate runtime tools/processes that optimize cloud triaging and limit downtime\nDefine best practices around making our systems and services measurable\nCollaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies. We expect successful candidates to be coding a majority of their time\nQualifications We Need\nStrong Computer Science fundamentals\n5+ years industry experience building and maintaining high-quality software, especially software other engineers use\nYou apply a product mindset to infrastructure systems and feel accomplished enabling others\nDesire to be a great teammate and have fun at work\nStrong sense of craftsmanship, and a healthy academic curiosity\nQualifications We Want (also, skills you'll learn!)\nExperience building systems for data analytics\nDistributed systems monitoring and profiling skills\nKnowledge of cloud application security models\nAdministered cloud service infrastructure (GCP, AWS, Azure)\nStartup experience\nAdditional Job details\nAdditional Job details\nThe base salary range for this position is $150k - $220k annually.\nCompensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package.\n\nAbout us:\nSigma is the AI apps and analytics platform connected to the cloud data warehouse. Using Sigma, business and technical teams can build intelligent, production-ready AI apps that accelerate and automate operational workflows. Sigma provides a spreadsheet interface, SQL and Python editors, visual builders, and native AI to help teams turn live data into interactive applications, analysis, reports, and embedded experiences.\nSigma announced its $200M in Series D financing in May 2024, to continue transforming BI through its innovations in AI infrastructure, data application development, enterprise-wide collaboration, and business user adoption. Spark Capital and Avenir Growth Capital co-led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures.The Series D funding, raised at a valuation 60% higher than the company's Series C round three years ago, promises to further accelerate Sigma's growth.\nCome join us!\nBenefits For Our Full-Time Employees:\nEquity\nGenerous health benefits\nFlexible time off policy. Take the time off you need!\nPaid bonding time for all new parents\nTraditional and Roth 401k\nCommuter and FSA benefits\nLunch Program\nDog friendly office\nSigma Computing is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We look forward to learning how your experience can enable all of us to grow.\nNote: We have an in-office work environment in all our offices in SF, NYC, and London.\nOur Privacy Practices\nWhen you submit a job application on this site, Sigma processes your personal data for the purposes of evaluating your candidacy for employment at Sigma and as otherwise needed throughout the recruitment and hiring process. Please review Sigma's Candidate Privacy Notice for more details. Please note that your personal data may be transferred to a country other than the one in which it was provided (including to USA, the UK, and Canada).\nSigma's use of AI\nThis hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.","datePosted":"2026-04-09T07:55:49.436Z","dateModified":"2026-04-09T07:55:49.436Z","hiringOrganization":{"@type":"Organization","name":"Sigma Computing","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"6630267fff4c72fd468a0d12"},"url":"https://jobsearcher.com/jobs/6630267fff4c72fd468a0d12"}}