Senior Infrastructure Engineer (ML/AI)

Who you are

You have a strong background in infrastructure engineering with a focus on machine learning and artificial intelligence. Your experience includes managing Kubernetes clusters and workloads, particularly with EKS (Elastic Kubernetes Service). You are proficient in Python and have the ability to program in additional languages such as Go, Ruby, or JavaScript. Your communication skills in English allow you to collaborate effectively with colleagues across teams.

You are driven by innovation and enjoy working in a flexible, trust-oriented culture. You understand the importance of balancing productivity with self-care, and you thrive in a vibrant work environment. You are a team player who is eager to take ownership of your role and contribute to the success of the organization.

Desirable

Experience with Dagster is preferred, as it aligns with the responsibilities of the ML/AI team. Familiarity with other programming languages and tools will enhance your contributions to the team.

What you'll do

As a Senior Infrastructure Engineer at Workato, you will be responsible for managing and optimizing Kubernetes clusters to support the deployment of machine learning models and AI applications. You will work closely with the ML/AI team to ensure that the infrastructure meets the demands of complex workflows and data processing needs. Your role will involve designing and implementing scalable solutions that enhance the efficiency and agility of the platform.

You will collaborate with cross-functional teams to identify infrastructure requirements and develop strategies for continuous improvement. Your expertise in AWS will be crucial as you leverage cloud services to optimize performance and reduce costs. You will also be involved in troubleshooting and resolving infrastructure-related issues, ensuring high availability and reliability of services.

In addition to technical responsibilities, you will mentor junior engineers and contribute to a culture of knowledge sharing within the team. You will participate in code reviews and provide feedback to enhance the quality of the codebase. Your contributions will directly impact the success of Workato's mission to transform technology complexity into business opportunity.

What we offer

Workato provides a dynamic work environment that fosters innovation and collaboration. You will have the opportunity to work with cutting-edge technologies and contribute to a platform that empowers organizations globally. The company values work-life balance and offers a range of benefits to support your well-being. You will be part of a team that is recognized for its growth and impact in the tech industry, and you will have the chance to grow your career in a supportive and engaging atmosphere.