Senior Full Stack Engineer, Observability

Stack

Responsibilities

• ▹Design, build and operate backend services in Go and Python for discovery, assurance, fleet management and data ingestion
• ▹Define and evolve gRPC and REST APIs with clear, versioned contracts using Protocol Buffers and OpenAPI
• ▹Build React and TypeScript monitoring and telemetry dashboards that show device, interface and network health in real time, with time-series charts, status views and drill-down from fleet to device to interface
• ▹Design dashboard experiences that help operators spot problems fast: sensible defaults, time-range and filter controls, thresholds and alert states, and clear links from a metric to the underlying device in NetBox
• ▹Work with backend engineers on the query and aggregation APIs that power dashboards, so they stay fast with large fleets and high-frequency telemetry
• ▹Build type-safe integration between frontend and backend using generated API clients, shared schemas and consistent error and auth handling
• ▹Participate in the on-call rotation for the services the team owns
• ▹Add automated tests across the stack (unit, integration, contract and end-to-end) and enforce quality gates in CI
• ▹Collaborate with product managers, designers, customer-facing teams and other engineering teams so features solve real network operator problems
• ▹Use AI-enabled development tools and agentic workflows day to day to speed up design, coding, testing, code review and incident triage, and help the team adopt them effectively and safely
• ▹Review code, mentor teammates and share best practices for service design, API design and frontend engineering
• ▹Participate in planning processes and help shape the roadmap

Requirements

• ▹5+ years of professional software engineering, with meaningful production experience on both backend and frontend
• ▹Backend: production experience with Go and Python, strong in at least one and working proficiency in the other
• ▹Hands-on experience designing and operating gRPC services with Protocol Buffers, including schema evolution and backward compatibility, streaming RPCs, deadlines, interceptors/middleware and error handling
• ▹Experience building distributed, event-driven systems, including message queues (e.g. RabbitMQ or Kafka), asynchronous job processing and idempotent data ingestion
• ▹Frontend: strong React and TypeScript skills, including component composition, state management and typing best practices
• ▹Proven experience building monitoring, observability or analytics dashboards: time-series charts, heatmaps, status and health views, and drill-down navigation
• ▹Hands-on experience with data visualization libraries (e.g. D3, ECharts, Recharts, uPlot or Visx)
• ▹Experience rendering large or high-frequency datasets performantly, using techniques such as downsampling, virtualization and canvas or WebGL rendering
• ▹Experience handling real-time data in the browser via WebSockets, server-sent events or gRPC-Web streaming, along with caching and refresh strategies (e.g. TanStack Query)
• ▹Modern CSS (TailwindCSS or similar utility-first frameworks), responsive layout and practical accessibility (WCAG), including color-blind-safe palettes and accessible charts
• ▹Automated frontend testing with Jest and React Testing Library, including visual regression testing for charts and dashboards
• ▹AI-enabled development: practical, regular use of AI coding assistants and agents (e.g. Claude Code, Cursor, GitHub Copilot) across the development lifecycle: writing and refactoring code, generating tests, reviewing changes and writing documentation
• ▹Good judgment about when to trust AI output, including verifying generated code, keeping changes reviewable and protecting sensitive data such as customer network information and credentials
• ▹Familiarity with prompting and context techniques that make AI tools effective on a real codebase, such as project instructions, specs and structured workflows
• ▹Good communication skills and a proven ability to work collaboratively in small, cross-functional teams
• ▹Comfortable working in a fast-moving environment and contributing to product and technical decisions

Nice to have

• ▹Familiarity with networking protocols and concepts such as TCP/IP, DNS, DHCP, BGP, OSPF, VLANs and LLDP/CDP
• ▹Experience with network management and telemetry interfaces such as SNMP (MIBs, polling, traps), gNMI/gNOI and streaming telemetry
• ▹Network automation: experience with NetBox, network automation frameworks (e.g. NAPALM, Nornir, Netmiko) or building agents that run in customer environments
• ▹Telemetry and observability: OpenTelemetry/OTLP, Prometheus or time-series databases (e.g. Mimir, InfluxDB, ClickHouse), including query languages such as PromQL
• ▹Dashboard tooling: Grafana panel or plugin development, or embedding third-party dashboards in a product
• ▹User-configurable dashboards (saved views, custom layouts, dashboards as code)
• ▹Designing alerting and incident UX: thresholds, alert states, annotations and event timelines
• ▹Building AI-powered product features or internal tools using LLM APIs, such as natural-language queries over telemetry, anomaly explanations or assisted troubleshooting
• ▹Experience with the Model Context Protocol (MCP), tool-using agents or agentic development frameworks and workflows
• ▹Evaluating AI features for quality and reliability, such as eval suites and guardrails

Soft skills

About the company

NetBox Labs builds network automation tools with NetBox, the network source of truth, at the center. It is the commercial steward of open source NetBox and the Orb network observability platform, and offers NetBox Enterprise and NetBox Cloud. It has multiple positions open across seniority levels and teams.