
51 - 200 employees
Founded 2016
☁️ SaaS
🏢 Enterprise
🤖 Artificial Intelligence
SaaS • Enterprise • Artificial Intelligence
Honeycomb. io is an observability platform designed to provide comprehensive insights into application performance. It unifies logs, metrics, and traces into a single data type, allowing engineers to quickly diagnose and resolve issues. Honeycomb. io offers features like distributed tracing, anomaly detection, and service maps to help teams enhance system visibility and operational efficiency. It integrates with popular cloud services like Amazon Web Services and Kubernetes, and supports technologies such as OpenTelemetry. Honeycomb. io aims to enable engineering teams to deploy confidently, reduce incident response times, and improve overall productivity.
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51 - 200 employees
Founded 2016
☁️ SaaS
🏢 Enterprise
🤖 Artificial Intelligence
SaaS • Enterprise • Artificial Intelligence
Honeycomb. io is an observability platform designed to provide comprehensive insights into application performance. It unifies logs, metrics, and traces into a single data type, allowing engineers to quickly diagnose and resolve issues. Honeycomb. io offers features like distributed tracing, anomaly detection, and service maps to help teams enhance system visibility and operational efficiency. It integrates with popular cloud services like Amazon Web Services and Kubernetes, and supports technologies such as OpenTelemetry. Honeycomb. io aims to enable engineering teams to deploy confidently, reduce incident response times, and improve overall productivity.
• Lead customers in the strategic application of Honeycomb and observability practices to meet technical and business goals • Shape how customers’ telemetry data is structured, governed, and used across their organizations • Partner with Customer Success Managers and Account Executives to articulate Honeycomb’s value proposition, vision, and strategy • Advise customers on telemetry schema design and data modeling • Become a subject-matter expert in Sampling and Honeycomb Refinery sampling operations • Teach, coach, and mentor engineering teams and leaders in observability, SRE concepts, and instrumentation best practices • Advise customers on telemetry ownership, standards, documentation, naming conventions, and attribution practices • Troubleshoot and develop technical and sociotechnical solutions to customer issues • Create reusable trainings, talks, blog posts, white papers, demos, and reference architectures • Represent the customer voice in internal Engineering and Product Management meetings • Stay current on Honeycomb technologies, products, and the observability ecosystem
• Deep understanding of OpenTelemetry, its projects, components, SDKs, and ecosystem • Strong understanding of telemetry data modeling, event schemas, cardinality, and long-term queryability • Ability to understand application architecture and flow for effective instrumentation • Working knowledge of AWS, GCP, or Azure • Working knowledge of Terraform, Kubernetes, and Helm • Working knowledge of CI/CD platforms and practices, including CircleCI and GitHub Actions • Previous experience in Software Development or System Operations • Strong preference for experience with distributed systems at scale • Fluency in at least one of Ruby, Python, Go, JavaScript, Java, or .NET • Excellent written and verbal technical communication skills, tailored to engineering teams and technical leadership • Ability to work in the United States • Honeycomb cannot currently sponsor or support visa transfers • Hired persons must verify identity and eligibility to work
• Generous equity with employee-friendly stock program • Transparent pay based on levels relative to experience • Unlimited PTO • Distributed-first mindset and culture • Home office, co-working, and internet stipend • Full benefits coverage for employees, with additional coverage available for dependents • Up to 16 weeks of paid parental leave, regardless of path to parenthood • Annual development allowance
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