Related skills
docker terraform aws grafana prometheus📋 Description
- Design, build, and maintain core AI platform systems.
- Ensure reliability, scalability, and performance for platform and LLM inference.
- Build cloud infrastructure with Terraform for scalable, secure environments.
- Create a self-serve infra platform enabling engineering to deploy services.
- Own CI/CD pipelines and release management for fast deployments.
- Architect distributed systems using distributed databases and ML models.
🎯 Requirements
- 5–7+ years of hands-on software engineering in technical products.
- Strong automation, tooling, and platform focus.
- Experience with cloud platforms (AWS, GCP, or Azure) and Terraform.
- CI/CD, release management, and container orchestration (Docker, Kubernetes).
- Observability tools such as Prometheus, Grafana, Datadog, OpenTelemetry.
- Incident response and operating distributed systems in production.
- Degree in Computer Science or related field, or equivalent.
🎁 Benefits
- Flexible (unlimited) paid time off.
- Medical, dental, and vision benefits for you and family.
- Life insurance and disability benefits.
- Retirement plan dependent on country of employment.
- Parental leave.
- Fertility and family building benefits through Carrot.
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