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Recently posted jobs
Information Technology • Internet of Things
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.
Information Technology • Internet of Things
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.
Information Technology • Internet of Things
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.
Information Technology • Internet of Things
Manage a large mid-tier CSM portfolio with digital-led engagement programs to drive activation, adoption, retention, and renewals through channel partners. Monitor customer health signals, forecast renewals in Salesforce, provide technical guidance on networking use cases, coordinate cross-functionally, and build scalable CS processes and automation using AI tools.
Information Technology • Internet of Things
Lead the Network Discovery product area: define roadmap, prioritise features, work closely with Engineering, UX, field teams and customers, improve discovery reliability/coverage/speed, translate technical complexity into clear product decisions, use AI to enhance discovery and internal practices, and drive measurable customer outcomes.


