11 days ago

Platform Engineer (m/f/d)

München, GermanyFull-timeSenior · 6-8 yearsPlatform Engineer

What you'll do

Event streaming. Kafka is the spine of the system. You own topic and schema design, partitioning, retention and delivery semantics and the everyday reality behind them: consumers falling behind, replays, backfills, late and duplicated readings.
Backend services in TypeScript. The ingestion services, integrations and APIs around that stream. Every site is a little different, so a good part of the job is turning that variety into one consistent interface the product squads can rely on.
Cloud infrastructure on GCP. Compute, networking, IAM, infrastructure as code, CI/CD and observability. The goal is a paved road: other engineers ship and debug their own services without going through you.
Technical direction. You are senior enough to set it. Where we invest in the platform, what we standardise, what we deliberately leave rough for now and bringing the rest of the team along with it.

At least 6–8 years building and running backend systems in production, including real time in a platform or infrastructure role that other engineers depended on
Strong backend engineering in TypeScript. You have designed, shipped and operated services and APIs in it — not just touched it around the edges of a frontend
Hands-on with Kafka in production. Topic design, consumer groups, ordering and delivery guarantees, and what you actually do at 3am when a consumer group is hours behind. A comparable streaming platform is fine if you know it at that depth
Solid on GCP or an equivalent cloud: containers, networking and IAM basics, infrastructure as code, CI/CD, monitoring and alerting. You have owned infrastructure, not just deployed onto it
Comfortable with high-volume time-series data: ingestion, data quality, backfills, and the everyday reality of late, missing and duplicated readings
You have seen a few things. Enough production years behind you to know which trade-offs come back to bite, when the boring option is the right one, and how to make a call with incomplete information instead of waiting for certainty
Kubernetes knowledge at the level of running it, not only deploying to it.
Clear written and spoken English. German is a plus

Energy, industrial, IoT or another domain where the data comes off real hardware
Metering or device protocols, telemetry at scale, or streaming pipelines
Knowledge of a second programming language, like Python, Go or Kotlin
You run what you build: monitoring, alerting, and the occasional early morning debugging a pipeline

Summarised by NextRaise from the employer’s description, which follows in full below.

Ecoplanet-green-operations-gmbh

München, Germany

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