Senior Software Engineer, MLOps - Remote

Overview

An overview paragraph about the job

In Short

• Lead and drive initiatives end-to-end, spanning multiple layers of architecture and business domains.
• Design, implement, and optimize ML-related architecture in AWS using Infrastructure as Code (IaC) tools like Terraform.
• Establish and maintain robust CI/CD pipelines to automate testing, deployment, and monitoring of ML models and services.
• Build and improve productivity-enhancing tools and frameworks for AI and ML practitioners.
• Drive the development and adoption of advanced self-service capabilities and automation frameworks.
• Develop and provision automated alerts, detailed metrics, and advanced monitoring solutions for critical ML pipelines.
• Mentor junior engineers and collaborate with cross-functional teams.

Requirements

• Bachelor of Science degree or higher in Computer Science, Engineering, or a related field.
• 3+ years of experience with AWS and MLOps practices.
• 2+ years of experience with TypeScript and Terraform.
• 4+ years of software engineering experience, including at least 2 years in large businesses or enterprise environments.
• 3+ years of experience deploying and configuring software configuration management, build and deployment processes, CI/CD pipelines.
• Proven ability to lead cross-functional initiatives and deliver solutions end-to-end.
• Strong experience designing and implementing robust, highly scalable, and reliable services in production environments.

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 for eligible roles.