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описание
DATATRONiQ is a German deep-tech startup focused on Industrial IoT and Edge AI. Its platform collects telemetry from sensors and controllers in modern industrial fleets, processes data in real time, supports anomaly and quality models, and delivers results to frontends and customers across edge clusters and the cloud.
задачи
Develop and deploy Go microservices that ingest, process, and redistribute industrial telemetry;
Maintain existing Kubernetes Operators and develop new ones, from API design and reconciliation loops to production rollout;
Ensure stability and performance through testing, benchmarking, monitoring, and tracing;
Collaborate with Frontend, ML, and DevOps on API specifications, interface versions, and shared roadmap decisions;
Automate manual processes through tooling, scripts, and CI pipelines;
Contribute to technical decisions on architecture, libraries, and build tooling;
Introduce new development practices to the team.
требования
At least three years of practical Go experience in service architectures;
Confident Kubernetes skills, including deploying services and Operators, reading logs and metrics, and supporting post-mortem analyses;
Professional API design skills with idiomatic REST, Protobuf, documentation, versioning, and backward compatibility;
Strong software design judgment, including understanding when to use queues or caches and when to remove them;
Very good written and spoken English;
Nice to have: experience with time series, stream processing, or IoT protocols such as OPC-UA and MQTT; curiosity about AI/ML in service contexts, including model inference, retrieval, and feature pipelines.
условия
Architecture, tooling, and test coverage are decided by the team;
Agentic tools including Codex and Claude Code are used in daily work;
Predominantly on-site work in Stuttgart, Ulm, or Berlin;
Industrial-IoT projects serve customers worldwide, from medium-sized manufacturers to DAX corporations.