Were looking for a DataOps Engineer to ensure the reliability efficiency and security of our data platform. Youll work at the intersection of DevOps and Data Engineering automating processes and maintaining the infrastructure that supports our ML applications.
Tasks
- Design and implement automated data infrastructure using IaC
- Set up and maintain monitoring alerting and observability systems
- Optimize platform costs and resource utilization
- Implement and maintain CI / CD pipelines for data workflows
- Enforce security best practices and compliance requirements
- Troubleshoot platform issues and implement preventive measures
- Manage pre / post processing workflows around ML models
Requirements
Required Qualifications :
Bachelors or Masters in Computer Science Engineering or related field3 years experience in DevOps Data Engineering or similar roleAdvanced Python / SQL programming skillsProficiency with infrastructureascode (Terraform CloudFormation)Strong experience with containerization and orchestration (Docker Kubernetes)Knowledge of monitoring tools (Prometheus) and practicesExperience with Postgres OperatorExperience with Argon / Flux workflow enginesUnderstanding of security best practices and IAMStrong experience with cloud platforms (AWS / GCP / Azure)Experience with MLOps pipelinesNice to Have :
Experience with data warehouses (Snowflake BigQuery)Experience with cost optimizationExperience in a startuplike environmentProficiency in German is a plusBenefits
Attractive compensation aligned with your skillsFlexible work arrangementsProfessional development allowance