Role overview
- Languages: Python.
- Container & orchestration: Kubernetes (EKS or equivalent), Docker.
- Packaging & deployment: Helm, kustomize, GitOps / CI pipelines.
- IaC & config management: Terraform, Ansible (or equivalents).
- Cloud: AWS.
- CI/CD: GitHub Actions
- Autoscaling / serverless operators: Knative, Karpenter.
- Observability: Datadog & Logz.io*.*
- Data & messaging: Apache Spark, RabbitMQ*.*
- Workflow / orchestration: Flyte & Weights and Biases.
What you'll work on
- Work experience in a successful and growing global SaaS company.
- Be part of an international team of 300+ in Europe, APAC, and the Americas.
- Expert colleagues in their field who are determined to build the best localization platform on the market, creating a world where language never limits opportunity.
- An agile work environment, where it is encouraged to take smart risks.
- Take part in a culture full of trust, support and loyalty, where respectful and open feedback is valued, and diversity is fully embraced.
- A positive, open-minded, and innovative atmosphere.
- Support in your professional development and personal career goals.
What we're looking for
- Practical experience running ML/AI infrastructure (model serving, latency-sensitive APIs).
- Familiarity with workflow/orchestration tools or serverless patterns used for ML workloads.
- Experience with observability stacks (Datadog / Prometheus / Grafana), centralized logging and tracing.
- Familiarity with message systems and big-data components (Kafka, Spark, message queues, NoSQL/databases).
- Experience with autoscaling tooling and cluster node provisioning (e.g., Karpenter or equivalents) and event-driven scaling (Knative or equivalents).
Tags & focus areas
Used for matching and alerts on DevFound Remote Ai Ai Engineer