System Engineer – CI/CD & Data Platforms

About the role

We are looking for a System Engineer who will design, build, and manage robust CI/CD pipelines and infrastructure automation for data processing and machine‑learning workloads. You will work closely with data engineers and data scientists to streamline complex data workflows and implement DataOps/MLOps best practices in cloud environments.

Key responsibilities

• Design, implement and maintain CI/CD pipelines for data and ML model lifecycles.
• Develop Infrastructure as Code using Terraform, CloudFormation or Ansible to provision data‑intensive resources.
• Build and operate scalable data platforms on AWS, Azure or GCP, integrating services such as S3, Glue, Redshift, EMR, SageMaker, Azure Data Factory, Synapse, Dataflow, BigQuery, and AI Platform.
• Containerize data pipelines and ML workloads with Docker and orchestrate them using Kubernetes.
• Collaborate with cross‑functional teams to translate DataOps/MLOps requirements into technical solutions.

Required profile

• Hands‑on experience with CI/CD for data and ML workloads.
• Strong knowledge of IaC principles and cloud data services.
• Ability to work independently and communicate technical concepts to stakeholders.

Required skills

• CI/CD, Infrastructure as Code (IaC)
• Terraform, CloudFormation, Ansible
• AWS, Azure, GCP
• Docker, Kubernetes
• Python
• Prometheus, Grafana, ELK Stack, CloudWatch, Datadog
• Apache Airflow, Kubeflow Pipelines
• Spark, Kafka