DevOps Engineer (Data & AI Platform)
Tasks
- Automate tooling to reduce operational overhead
- Build and operate infrastructure for data pipelines and AI ML workloads
- Develop and maintain CI CD for application and model lifecycle
- Enforce security and access controls for data and infrastructure
- Implement monitoring logging and tracing for data flow and model performance
- Improve reliability scalability and cost efficiency of data systems
- Manage infrastructure as code with Terraform
- Support containerized workloads with Docker and Kubernetes
Perks/Benefits
- Employee Resource Groups (ERGs)
- Flexible time off
- Hybrid work schedule
- Meal reimbursement
- Paid Holidays
- Relocation bonus
- Work from home stipend
Skills/Tech-stack
AWS | Airflow | Apache Spark | Bash | CI/CD | Docker | Git | Infrastructure as Code | Kafka | Kubernetes | Logging | MLOps | Monitoring | Python | Terraform | Tracing | “as-code”
Education
N/A
Roles
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