DevOps and Data Engineer - Remote

Overview

As a versatile engineer, you will bridge our DevOps and data engineering functions, responsible for building and maintaining scalable data infrastructure while ensuring reliable deployment and operations of data systems.

In Short

• Architect, deploy, and manage Kubernetes clusters.
• Create infrastructure-as-code templates for deployments.
• Implement monitoring and disaster recovery strategies.
• Automate deployment processes for data pipelines.
• Manage containerization and orchestration of data services.
• Troubleshoot performance issues across environments.
• Build infrastructure for AI models and integrate with external services.
• Design scalable API gateways for data consumers.
• Collaborate with teams to optimize data processing pipelines.
• Ensure API infrastructure handles sensitive healthcare datasets.

Requirements

• 3+ years of experience in cloud infrastructure engineering.
• Deep expertise with Kubernetes in production.
• Strong proficiency in Infrastructure as Code tools.
• Experience with cloud security best practices.
• Hands-on experience with CI/CD pipelines.
• Proficiency in Python and/or Go, SQL, bash scripting.
• Understanding of data modeling and orchestration tools.

Benefits

• Healthcare benefits including vision and dental.
• Retirement plans and PTO.
• Family leave options.
• Support for emotional well-being.
• Opportunities for professional growth.