Sr. SDE (L6), ML Ops

The AWS Infrastructure Services (AIS) team is seeking a Senior Software Engineer to join their Science team, focusing on MLOps and infrastructure optimization. This role sits at the intersection of cloud infrastructure and machine learning, working to optimize power and cooling across AWS's global data centers.

The position offers a unique opportunity to impact AWS's infrastructure worldwide by building and maintaining machine learning workflows and platform services. You'll be working with a team of scientists, program managers, and data engineers to develop solutions that directly influence server demand planning and infrastructure efficiency.

As a Sr. SDE (L6), you'll lead the development of platforms for deploying, productionalizing, and scaling machine learning models. Your responsibilities will include designing and implementing training and inference infrastructure, collaborating on improved systems that accelerate innovation, and engineering robust, fault-tolerant solutions for rack planning and forecasting.

The role requires strong software development experience (5+ years) and expertise in ML infrastructure. You'll be working in a collaborative environment that values work-life balance while tackling complex challenges in data processing, model hosting, and metric monitoring. The position offers competitive compensation ($150,700 - $251,700) plus equity and comprehensive benefits.

This is an excellent opportunity for someone passionate about machine learning operations who wants to make a significant impact on cloud infrastructure. You'll be working with cutting-edge technology while helping shape the future of AWS data centers. The role combines technical leadership with hands-on development, making it ideal for experienced engineers who enjoy both building systems and mentoring others.

The position is based in Vancouver, Canada, and offers the chance to work with a global team on mission-critical infrastructure. Amazon provides a comprehensive benefits package, including medical coverage, financial benefits, and equity compensation. If you're excited about scaling ML operations and optimizing cloud infrastructure while working with a talented team, this role offers the perfect blend of challenge and opportunity.