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.
devops • site reliability engineering • observability • microservices • logging
March 8
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.
devops • site reliability engineering • observability • microservices • logging
• What We’re Building • Honeycomb is the observability platform for teams who manage software that matters. Send any data to our one-of-a-kind data store, solve problems with all the relevant context, and fix issues before your customers find them. Honeycomb is the unified, fast, and collaborative choice for engineering teams who care about customer experience to get the answers they need, quickly. • We are passionate about consumer-quality developer tools and excited to build technology that raises our industry’s expectations of what our tools can do for us. We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, as we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023! • Who We Are • We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers. • How We Work • We are a remote-first company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote • The Role • As our very first Senior Data Engineer, you’ll have a unique opportunity to lay the foundation for Honeycomb’s data-driven future. Partnering directly with the Head of Data, you will architect and build a modern, scalable data platform that not only powers our business-critical insights but also sets the standard for data quality and reliability across the organization.
• Extensive data development including expert-level SQL and programming experience in a scripting language (preferably Python) • Demonstrated experience with modern data tooling including: MPP Data warehouses (e.g. Redshift or Snowflake (preferred)), DBT Workflow automation (e.g. Airflow, Dagster, Prefect) • Experience implementing structured data models, architectures and marts (e.g. Inmon, Kimball) • Experience collaborating with data analysts, data scientists and business users with varying levels of data savvy • Comfortable working through ambiguous problems - this is our first DE hire so there will be a fair amount of role shaping • Bonus / Preferred experience: Experience with any of the following: Spark, Scala, Terraform, AWS/K8s, Debezium/Flink • Experience managing production-grade data pipelines powering customer-facing applications • Exposure to MLOps and supporting ML/AI team’s data requirements • Experience working with CRM, Martech and other GTM datasets and systems
• Base pay (range) of $170,000 - $200,000 USD, CAD $233,504 - CAD $274,710 • A stake in our success - generous equity with employee-friendly stock program • It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience • Time to recharge - Unlimited PTO and paid sabbatical • A remote-first mindset and culture (really!) • Home office, co-working, and internet stipend • 100% employee/75% for dependents coverage for all benefits • Up to 16 weeks of paid parental leave, regardless of path to parenthood • Annual development allowance • And much more...
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