Senior Infrastructure Engineer (ML/AI)

Who you are

You have 5+ years of experience in infrastructure engineering, particularly in managing cloud environments and deploying machine learning solutions. Your strong programming skills in Python are complemented by your ability to work with other languages such as Go, Ruby, or JavaScript. You are comfortable communicating in English and thrive in collaborative environments where you can share your knowledge and learn from others.

Your expertise in Kubernetes is well-established, with a focus on managing clusters and workloads effectively. You understand the intricacies of cloud services, particularly AWS, and have hands-on experience with Elastic Kubernetes Service (EKS). You are proactive in identifying and solving infrastructure challenges, ensuring that systems are robust and scalable.

You are passionate about machine learning and AI, and you stay updated on the latest trends and technologies in the field. You enjoy working in a fast-paced environment where innovation is encouraged, and you are eager to contribute to projects that drive efficiency and agility in business operations.

Desirable

Experience with additional tools such as Dagster is preferred, as is familiarity with other programming languages. You have a keen interest in exploring new technologies and methodologies that can enhance infrastructure performance and reliability.

What you'll do

In this role, you will be responsible for managing and optimizing Kubernetes clusters, ensuring that workloads are efficiently deployed and maintained. You will collaborate closely with the ML/AI team to develop infrastructure solutions that support machine learning workflows. Your work will involve designing and implementing scalable systems that can handle complex data processing tasks.

You will also play a key role in automating deployment processes and improving CI/CD pipelines, leveraging your expertise in AWS and Kubernetes. Your contributions will directly impact the efficiency of operations at Workato, enabling teams to navigate complex workflows seamlessly.

As part of your responsibilities, you will monitor system performance and troubleshoot issues as they arise, ensuring high availability and reliability of services. You will work with cross-functional teams to gather requirements and translate them into technical specifications, fostering a collaborative approach to problem-solving.

What we offer

At Workato, we believe in fostering a flexible and trust-oriented culture that empowers everyone to take full ownership of their roles. You will be part of a vibrant and dynamic work environment that values innovation and collaboration. We offer a range of benefits designed to support your well-being both inside and outside of work.

Join us and be part of a company recognized as a leader in enterprise orchestration, where you can make a significant impact on how businesses operate. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.

Workato is committed to your professional growth, providing opportunities for continuous learning and development. You will have the chance to work with cutting-edge technologies and contribute to projects that drive real business value.