Requirements: English
Company: TMPLT | Template Systems
Region: Chtenay-Malabry , le-de-France
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 Were 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 customers 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 youre most productive