Staff Software Engineer, MLOps - Remote

Overview

An overview paragraph about the job

In Short

• Ownership and Execution: Take responsibility for delivering impactful initiatives in your specific area of expertise.
• ML Architecture Contributions: Contribute to the design and optimization of ML-related architecture in AWS.
• CI/CD Best Practices: Implement and maintain CI/CD pipelines for ML systems.
• Tool Enhancement: Develop and refine tools that improve productivity for ML and AI practitioners.
• Self-Service and Automation Support: Work on creating and maintaining self-service and automation tools.
• Operational Monitoring: Design and implement alerting, detailed metrics, and monitoring solutions for key ML pipelines.
• Team Collaboration: Work closely with peers and contribute to team success by sharing knowledge and insights.

Requirements

• Bachelor of Science degree or higher in Computer Science, Engineering, or a related technical field.
• 4+ years of experience with AWS, particularly in ideating and applying MLOps practices.
• Proficiency in TypeScript and Terraform with at least 3+ years of hands-on experience.
• 4+ years of software engineering experience, including working on scalable, production-grade systems.
• 3+ years of experience implementing and maintaining software configuration management, CI/CD pipelines.

Benefits

• Base salary, stock awards, comprehensive healthcare coverage.
• Monthly wellness stipend, retirement savings match.
• Lifetime Headspace membership, unlimited, free mental health coaching.
• Generous parental leave, paid performance incentives.