Rippling
Staff Software Engineer - Observability
Rippling, San Francisco, California, United States, 94199
About RipplingRippling is the first way for businesses to manage all of their HR & IT—payroll, benefits, computers, apps, and more—in one unified workforce platform.By connecting every business system to one source of truth for employee data, businesses can automate all of the manual work they normally need to do to make employee changes. Take onboarding, for example. With Rippling, you can just click a button and set up a new employees’ payroll, health insurance, work computer, and third-party apps—like Slack, Zoom, and Office 365—all within 90 seconds.Based in San Francisco, CA, Rippling has raised $1.2B from the world’s top investors—including Kleiner Perkins, Founders Fund, Sequoia, Bedrock, and Greenoaks—and was named one of America’s best startup employers by Forbes (#12 out of 500).About The Role
Rippling is growing exceptionally fast and we have a 750+ person engineering team that ships code to hundreds of thousands of customers. This role is for the Observability team that manages a variety of key systems like our unified metrics dashboards, Sentry, Datadog, OpsGenie and incident management tooling. It is a high-leverage and high-visibility role which will have a direct impact on Rippling’s business metrics, engineering roadmaps, and site stability.What You'll Do
Develop high-quality and reliable software using Python, Golang, and other relevant programming languagesDesign, build, ship tools that support observabilityBe an in-house domain expert for 700-plus engineers on observability and monitoringBuild relationships with the engineering teams to understand their needs and help improve their day-to-day workflowsHelp evolve Rippling’s architecture as we continue to scaleQualifications
8+ years of proven experience as a backend or infrastructure engineerBonus ExperienceMonitoring & Alerting tooling (Datadog/Sentry/SumoLogic/Jaeger/OpsGenie/etc)Public Cloud Platforms (AWS, GCP, etc)Infrastructure tooling: (Kubernetes/Terraform/LocalStack/Pulumi)Relevant languages: Python, GoPassion for improving infrastructure reliability and building scalable systemsAdditional InformationRippling is an equal opportunity employer. We are committed to building a diverse and inclusive workforce and do not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics. Rippling is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email
accomodations@rippling.com .Rippling highly values having employees working in-office to foster a collaborative work environment and company culture. For office-based employees (employees who live within a 40 mile radius of a Rippling office), Rippling considers working in the office, at least three times a week under current policy, to be an essential function of the employee's role.This role will receive a competitive salary + benefits + equity. The salary for US-based employees will be aligned with one of the ranges below based on location; see which tier applies to your location
here
.A variety of factors are considered when determining someone’s compensation–including a candidate’s professional background, experience, and location. Final offer amounts may vary from the amounts listed below.
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Rippling is growing exceptionally fast and we have a 750+ person engineering team that ships code to hundreds of thousands of customers. This role is for the Observability team that manages a variety of key systems like our unified metrics dashboards, Sentry, Datadog, OpsGenie and incident management tooling. It is a high-leverage and high-visibility role which will have a direct impact on Rippling’s business metrics, engineering roadmaps, and site stability.What You'll Do
Develop high-quality and reliable software using Python, Golang, and other relevant programming languagesDesign, build, ship tools that support observabilityBe an in-house domain expert for 700-plus engineers on observability and monitoringBuild relationships with the engineering teams to understand their needs and help improve their day-to-day workflowsHelp evolve Rippling’s architecture as we continue to scaleQualifications
8+ years of proven experience as a backend or infrastructure engineerBonus ExperienceMonitoring & Alerting tooling (Datadog/Sentry/SumoLogic/Jaeger/OpsGenie/etc)Public Cloud Platforms (AWS, GCP, etc)Infrastructure tooling: (Kubernetes/Terraform/LocalStack/Pulumi)Relevant languages: Python, GoPassion for improving infrastructure reliability and building scalable systemsAdditional InformationRippling is an equal opportunity employer. We are committed to building a diverse and inclusive workforce and do not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics. Rippling is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email
accomodations@rippling.com .Rippling highly values having employees working in-office to foster a collaborative work environment and company culture. For office-based employees (employees who live within a 40 mile radius of a Rippling office), Rippling considers working in the office, at least three times a week under current policy, to be an essential function of the employee's role.This role will receive a competitive salary + benefits + equity. The salary for US-based employees will be aligned with one of the ranges below based on location; see which tier applies to your location
here
.A variety of factors are considered when determining someone’s compensation–including a candidate’s professional background, experience, and location. Final offer amounts may vary from the amounts listed below.
#J-18808-Ljbffr