Software Engineer, Full Stack

Pendo spent a decade helping companies understand how people use their software. Agents are the next surface, and this team builds the product for it: customers install Pendo on their own agentic systems, including MCP servers, agent frameworks, and copilots, and Pendo shows them what those agents are actually doing. As a Full Stack Software Engineer, you will own features end to end across the service, interface, and the seam between them.

Responsibilities

Own features end to end across the service, interface, and the seam between them; Full-stack feature delivery: Ship full-stack features end to end across Go services and Vue interfaces; Customer install and instrumentation: Build the install and instrumentation experience customers drop into their own agentic systems; Agent behavior visibility: Capture agent behavior and make it legible for customers; LLM-backed product development: Work on LLM-backed features including prompt and context design, tool calling, evaluation, and related failure modes; Safe, incremental shipping: Ship in small increments behind feature flags and test to the level of product and technical risk; Production ownership: Own what you ship in production through logging, monitoring, fast resolution, and follow-up work that reduces recurrence; AI-enabled workflow: Use AI tools as a normal part of your development workflow while staying accountable for what ships; Team collaboration: Give useful code reviews, write documentation that survives your absence, and provide reasonable estimates for well-scoped work

Requirements

3+ years of experience shipping full-stack features to production in a SaaS environment; Strong proficiency in at least one backend language such as Go, Java, Python, or C++, and one modern frontend framework such as Vue, React, or Angular; Experience designing APIs and building services on AWS or GCP against SQL databases; Hands-on experience building with LLMs, including API integration, prompt and context design, or tool calling. Professional or substantial personal work is acceptable, with evidence that you have built something and learned where it breaks; Experience with Agent frameworks (LangChain, LangGraph), LLM evaluation tooling; Ability to write unit, integration, and end-to-end tests based on risk, with comfort using safe rollout patterns such as feature flags and canary releases; Demonstrated ability to take a well-scoped problem to production independently; Active use of AI tools in your development workflow; Strong written communication skills and a BS in Computer Science or equivalent experience

Nice to have

Experience building or operating an MCP server or comparable agent tooling; Experience shipping SDKs or instrumentation libraries that customers install into their own systems, including the versioning and overhead discipline that work requires; Experience with analytics or observability products that turn a high volume of events into something a person can act on; Vue or data visualization tools such as Highcharts or D3

Benefits

Highly competitive, employer-heavy coverage including $0 premium options; strong 401(k) match; equity; flexible time off