
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.
🔥 0 minutes ago
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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.
• Design and implement solutions for Honeycomb’s query and data storage infrastructure • Improve query performance and evolve the Retriever service • Make the storage layer more reliable • Break down complex storage and querying problems, surface trade-offs, and deliver projects independently • Own work end-to-end from design through production support • Collaborate with Product Management and engineering teams to connect technical solutions to product needs • Participate in on-call rotations • Help define team KPIs and SLOs • Reduce toil and address reliability challenges proactively • Explore new technologies, data storage techniques, and query optimization strategies • Pair, review code, provide constructive feedback, and help teammates grow
• Technical leadership in storage and querying • Expertise writing Go • Experience working on high-throughput or complex systems • Prior database engineering experience is a plus • Comfort with Kubernetes is a plus • Ability to scope and deliver complex, multi-team projects • Deep debugging expertise across the stack • Ability to participate in on-call rotations • Ability to mentor engineers through code reviews • Ability to guide adoption of new technologies • Must verify identity and eligibility to work • Honeycomb cannot currently sponsor or support visa transfers
• Generous equity with employee-friendly stock program • Transparent pay based on levels relative to experience • Unlimited PTO • Distributed-first work culture • Home office stipend • Co-working stipend • Internet stipend • Full benefits coverage for employees • Additional benefits coverage available for dependents • Up to 16 weeks of paid parental leave • Annual development allowance
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