Staff Software Engineer (MLOps, AI Platform

Who You Are

We are looking for a very experienced Software Engineer with a focus on MLOps tech leadership to be a part of our growing AI Platform team. You are bold and creative, and have deep empathy for customers. You will design and implement significant parts of the code base and will have the opportunity to make an immediate impact with your work and guide the product and team as we grow.

You are curious and like to understand technologies and their tradeoffs in depth - providing technical guidance to the team and peers as and when required. Leading by example, you have accumulated a wealth of insights and experiences from your hands-on involvement in the field, and you are committed to rolling up your sleeves and getting work done. You like joining and supporting other engineers in their work to learn from them as well as letting them benefit from your expertise and experience.

You have the motivation and skills to identify technical product needs, initiate projects and owning their delivery, including the involvement of engineering peers as needed. You are comfortable with challenging the status quo respectfully to drive and deliver technical excellence in the team.

• We are seeking a team member located within one of the following areas: USA/Canada/UK/EU

Responsibilities

The AI Platform team you are joining is responsible for building the core platform that powers model training, inference and decision making in our products. Furthermore the team owns MLOps and the services hosting our AI capabilities. Product ionizing results from Research, as well as extending our systems and providing support according to our customer needs fall into team responsibilities as well.

You will join this team as a very experienced engineer with a focus on MLOps solutions to grow our expertise in that area, but also contribute as a software engineer more widely in the team.

As an organization, we strongly believe in expertise across the stack. As such, you will experience flavors of Machine Learning, Software Engineering, Distributed Systems, MLOps and Dev Ops.

In particular, you will:

• Design, build and lead the MLOps initiatives and vision for the AI Platform to strengthen automation, orchestration, versioning, observability, monitoring and collaboration for the platform.
• Build and design scalable components for the AI Platform to allow high throughput training and inference for RL agents doing realtime inference for autonomous control of industrial systems.
• Contribute to the design and implementation of the product backend by writing REST & gRPC API services and scalable event-driven backend applications.
• Design clear, extensible software interfaces for the team's customers and maintain a high release quality bar.
• Perform Dev Ops duties of CI/CD, Release & Deployment management.
• Be a part of our global production oncall team and, own & operate your services in production, meeting Phaidra’s high bar for operational excellence.
• Lead cross-functional initiatives collaborating with engineers, product managers and TPM across teams.
• Mentor your peers and be a technical role-model in the team.

Onboarding

In your first 30 days…

• You will be immersed in an onboarding program that introduces you to Phaidra and our product.
• You will spend time in the Engineering org, learning how the teams operate, interact, and approach problems.
• You will read various parts of our handbook and familiarize yourself with the documentation culture at Phaidra.
• You will set up your development environment and start working on an onboarding exercise that will introduce you to various parts of our code base.
• You will learn about how we use agile and be able to navigate our sprint boards and backlogs.
• You will learn about various team standards and development & release processes.
• You will start to learn about our system architecture and infrastructure.
• You will start picking up few good “first-tasks” to get yourself accustomed to the end to end release flow.

In your first 60 days…

• You will get a solid understanding of what Phaidra does and how we do it.
• You will meet with team members across Phaidra and started building relationships that will help you be…