Jobs at IP Fabric

Senior QA Engineer responsible for embedding quality throughout the development lifecycle of a complex backend network-discovery platform. Duties include automated and manual testing, unit, integration, API and mocking tests, quality metrics, process improvement, developer collaboration, and CI/CD infrastructure maintenance. The role requires JavaScript or TypeScript, Linux and Shell, SQL, and backend test automation expertise, with preferred experience in Playwright, Python, networking, containers, virtualization, and CI/CD pipelines.

Develop customer-facing, backend-leaning full-stack features for network data integrations. Design scalable systems, ingest third-party data, build integrations, own features from concept through delivery, improve reliability, and contribute to testing, architecture, and technical-debt reduction. Collaborate with Product, mentor engineers, and help shape engineering practices in a complex, data-heavy product environment.

Build and ship production AI features for network assurance use cases including change assurance, troubleshooting, compliance, and vulnerability detection. Own implementation, testing, deployment, and delivery of assigned features while contributing to shared AI infrastructure. Work with MCP and agentic frameworks, evaluate trade-offs, participate in technical reviews, and share AI engineering practices across the team.

Own and improve the company’s AI Gateway, including deploying models, integrating third-party providers, monitoring usage and costs, and optimizing routing and context compression. Make repositories agent-ready through skills, instructions, linters, CI guardrails, and software-factory capabilities. Build dashboards and internal tools, support AI adoption, contribute to product AI features, and partner with IT, Finance, and Legal on security and data governance.

Own and improve internal Linux infrastructure across Hetzner VMs, hypervisors, and bare-metal systems. Lead infrastructure projects, automate repetitive work with Puppet, Ansible, Bash, and Python, support engineering teams, participate in business-hours on-call, respond to alerts, perform upgrades, and improve monitoring, observability, documentation, and operational resilience.

Lead and grow a six-person Product Platform team responsible for backend and DevOps foundations. Define a business-driven platform roadmap with Product, guide architecture and modernization from monoliths and Debian packages toward containers, improve build and test pipelines, and strengthen service stability and performance. Establish effective intake and ownership processes, communicate platform value and constraints, support predictable delivery, and hire and develop engineers.

Build and improve platform components using Python and TypeScript; modernize deployment from Debian packages to containers; develop CI/CD, build, testing, and local-development tooling; troubleshoot across application, Linux, runtime, container, and pipeline layers; improve platform stability, performance, security, maintainability, observability, and developer experience; and collaborate on technical decisions and code reviews.