Senior Backend Engineer, Kentik

• While prior experience in a remote environment is not required, we highly value strong collaboration and communication skills, as well as a high level of independence and autonomy
• 4+ years of relevant experience
• Experience driving technical direction for teams, leading small teams, and mentoring across all experience levels
• Passion for what you do and a willingness to grow and contribute our team
• Knowledge of key technologies for network infrastructure monitoring, including SNMP, Streaming Telemetry, OpenConfig/YANG, and NetFlow
• Deep experience working on large scale SaaS products
• Significant experience with Go or C/C++ with a strong preference for Go experience
• SQL and DBMS proficiency, especially with Postgres

• Kentik is looking for an experienced Backend Engineer to play a high-visibility, leadership role on a team building a new product in the network monitoring system space
• This team is responsible for bringing the deep visibility Kentik is known for into network infrastructure
• Our platform ingests trillions of records and serves hundreds of thousands of queries for our users each day
• You will gain experience building a production quality, high performance server-and-client SaaS application that handles uniquely high volumes of data
• We have built a team of world-class engineers, network experts, and technology thought leaders in a remote-friendly culture from day one
• You will be a technical leader on multiple aspects of the product, including data collection, ingestion, analysis, query, and alerting in collaboration with groups across the engineering organization
• Lead challenging, highly visible, strategic initiatives
• Develop new features, performance improvements and bug fixes in a modern, highly-scalable SaaS platform
• Provide thought leadership in the design and architecture of our product offerings
• Drive engineering culture from interview process and onboarding to methodologies and best practices
• Collaborate with other engineering teams - as well as PM, support, and sales teams
• Our tech stack:
• Our core data engine and platform are primarily written in Go
• We use Node.js + Express for application serving, and React as our primary UI framework
• We also use some JS and Python for tooling/scripting
• In addition to our own database, we use Postgres, Kafka, Mysql, and Redis
• Internal and public APIs expose both rest/json and gRPC endpoints
• Haproxy, Envoy for API traffic routing and balancing
• Github for source control, PRs, issues
• Jenkins for automated builds

• Dental and vision insurance
• Parental leave
• Stock options
• Flexible paid time off
• 401k plan
• Work from home opportunities
• Health insurance

Total funding: $101.7m

The rise in internet use has resulted in an often unmanageable amount of network traffic across websites, data centers, and most recently cloud services. The resulting mass of information from this is problematic to interpret and thus difficult to use for troubleshooting and engagement insights.