Java backend engineers. Every tracker, repository, build server, API platform and monitoring product rests on a large backend shared by many customers. Java engineers build it, in Java and Spring with Python and Go beside them, on the three big clouds. They are the most common opening here, in roughly the same proportion as across product companies.

Cloud and DevOps engineers, as builders of the product. At most companies, DevOps is the team that keeps the product running in the background. At companies that sell deployment pipelines or monitoring platforms, like Harness and Sumo Logic, DevOps is the product. These engineers build continuous integration and delivery engines, artifact registries and the agents that collect metrics and logs, and they run all of it as services that never stop. That makes them far more common here than at a typical product company. The postings require Go and Python first, then Kubernetes, the three clouds, Terraform, Prometheus and Grafana.

Go backend engineers. Much developer infrastructure is written in Go, including API gateways, pipeline engines, cloud integrations and monitoring agents. Go backend engineers are several times as common here as at a typical product company.

Frontend engineers. Developers spend their whole day inside these tools, on boards, code-review screens, API workspaces, pipeline views and dashboards of traces and logs. So the interface is central to the product, and frontend engineers are in strong demand. React leads, with Vue and Angular, and the postings also require UI and UX design, micro-frontends and testing of the interface with Cypress and Jest.

GenAI engineers. AI is being built into the tools themselves. GenAI engineers add assistants to trackers and pipelines, agents that investigate an alert and point to its cause, tools that write tests from a description, and coding agents that write and review code. They work in Python with LangChain and the AI services of the major clouds, and they are a little more common here than at most product companies.

JavaScript and Node full-stack engineers. API clients, developer portals and low-code builders are often built end to end in JavaScript and Node, which gives these engineers a larger place here than usual.

Data engineers. In monitoring, data engineering is central. Data engineers build the pipelines and stores that take in metrics, logs and traces at a very high rate, with Kafka, Spark, ClickHouse and Iceberg. Across the whole Industry Vertical their share is ordinary.

Test engineers. The test-platform companies mostly hire developers to build their testing products, not testers to use them. So test engineers are a smaller part of hiring here than at most product companies. Where they are hired, they test the tools themselves, with Selenium, Playwright and Cypress.

Smaller groups, each with a clear reason.

Rare here. C/C++ systems engineering, data science, SAP, Salesforce and ServiceNow barely appear.