Platform engineer (qa-oriented)

Platform Engineer (QA-Oriented)

Goal:

Own and automate the infrastructure and deployment lifecycle — from local dev to production — with a focus on quality, reliability, and simplicity.


Be a proactive force in evolving the platform: simplify, automate, secure — and keep making it better.


Core Responsibilities

* Automate deployments for both Docker Compose and Kubernetes environments
* Deploy systems from scratch, including:
* › Networking
* › Cluster bootstrap
* › Ingress, secrets, certs
* › Monitoring and logging
* Apply QA principles to infrastructure:
* › Health checks, smoke tests, rollback plans
* › Validate staging before promoting to prod
* › Help automate all those tests
* Own all non-dev deployments
* Treat production as the most important environment — stable, observable, recoverable


Required Skills

* Hands-on experience with Docker Compose and Kubernetes in production
* Strong scripting / light coding skills — you write tools, not just YAML
* › Go preferred, but Bash, Python, or Node/TypeScript are fine too
* Proven track record in automation-first environments
* Comfortable working independently — can spin up working systems from scratch without hand-holding
* Fluent English (spoken and written)


Nice-to-Have

* Helm, Kustomize, Terraform or Pulumi
* Observability stack: Prometheus, Grafana, Loki, etc.
* Secrets management (Vault, Sealed Secrets, SOPS)
* Familiarity with REST + MQTT & NATS-based systems
* CI/CD pipelines (e.g., GitHub Actions, GitLab CI, ArgoCD).


Team Fit

* Low-ego, pragmatic engineer who collaborates well with devs and has QA affinity
* Proactively documents and builds repeatable systems
* Thrives in high-autonomy environments


What We’re Building


We are bringing to market a system that converts any space into a high density automated storage and order fulfillment area.

We are a tech company enabling sustainable distribution models, launching a category defining fulfillment automation system, leveraging AI, robotics and lean methodology.


The software is responsible for

* Real time remote control & coordination of physical robots/devices built in house and operating in grid-like environments
* Communication via REST and MQTT, with a planned addition of NATS
* Monitoring, alerting, and visibility into the state of all subsystems
* Interfaces to customer’s environment
* Interfaces for human operators to interact with the system in real time


How We Run Things

* Backend: Go microservices in a monorepo, with shared internal packages and types
* Frontend: Angular 17+ with PrimeNG, using REST and WebSockets to talk to the backend
* Infra & Deploy:
* › Dev / test / prod environments via Docker Compose, moving toward Kubernetes-first
* › Supports local, edge, and cloud deployments
* › CI/CD via GitHub Actions, exploring ArgoCD/GitOps for future rollout
* Observability: Prometheus, Grafana, and logs/metrics where they matter


What We Offer

* Access to cutting-edge AI tools to boost your workflow — use them however you see fit
* A friendly, no-blame culture where problems are solved, not pointed at
* Real-world problems — help us solve hard problems in real-time coordination of physical robots
* A tiny but efficient team — fast feedback loops, zero bureaucracy, your work matters
* Remote-first culture, with monthly meetups in Paris (travel covered)
* A clear voice in technical and product decisions — no layers between you and the roadmap
* Competitive compensation and the flexibility to work how you’re most productive