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Home›Jobs›Workato›Senior Infrastructure Engineer (ML/AI)
Workato

About Workato

The integration platform for seamless workflow automation

🏢 Tech👥 1001+ employees📅 Founded 2013📍 Palo Alto, CA💰 $415m⭐ 4.1
B2BInternal toolsProductivityMachine LearningAutomationNo-Code

Key Highlights

  • Headquartered in Palo Alto, CA with 1,001+ employees
  • $415 million raised in Series D funding
  • Targeted at users with minimal technical experience
  • Supports diverse industries with automation solutions

Workato is a leading integration and workflow automation platform headquartered in Palo Alto, CA. With over 1,001 employees, the company has raised $415 million in Series D funding and serves a diverse range of customers, enabling them to automate processes and integrate applications seamlessly. Wor...

🎁 Benefits

Workato offers flexible working arrangements with a hybrid remote model, generous PTO, and employee stock options. Additional benefits include health ...

🌟 Culture

Workato fosters a culture of integration and collaboration, focusing on empowering users with minimal technical skills to streamline their workflows. ...

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Workato

Senior Infrastructure Engineer (ML/AI)

Workato • Berlin, Germany; Frankfurt, Germany

Posted 2d agoSeniorInfrastructure engineer📍 Berlin📍 Frankfurt
Apply Now →

Skills & Technologies

KubernetesPythonAWS

Overview

Workato is seeking a Senior Infrastructure Engineer specializing in ML/AI to manage Kubernetes clusters and develop solutions using Python. This role requires strong expertise in AWS and a passion for driving efficiency in enterprise orchestration.

Job Description

Who you are

You have a strong background in infrastructure engineering, particularly in managing Kubernetes clusters and workloads. Your experience with AWS, especially EKS (Elastic Kubernetes Service), allows you to effectively deploy and manage cloud-native applications. Proficiency in Python is essential for this role, and familiarity with additional programming languages such as Go, Ruby, or JavaScript is a plus. You are comfortable communicating in English and thrive in collaborative environments where you can share your knowledge and learn from others.

Desirable

Experience with machine learning and AI technologies is highly desirable, as you will be working closely with teams focused on these areas. A proactive approach to problem-solving and a willingness to adapt to new technologies will set you apart.

What you'll do

In this role, you will be responsible for designing and implementing infrastructure solutions that support Workato's AI-powered platform. You will manage Kubernetes clusters, ensuring they are optimized for performance and reliability. Collaborating with cross-functional teams, you will contribute to the development of scalable applications that streamline operations for our global customers. Your expertise will help drive the efficiency and agility of our enterprise orchestration solutions.

You will also be involved in troubleshooting and resolving infrastructure issues, ensuring minimal downtime and optimal performance. As part of the ML/AI team, you will have the opportunity to work on innovative projects that leverage cutting-edge technologies to enhance our platform's capabilities. Your contributions will directly impact how businesses connect their data, processes, and applications.

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 team that is transforming technology complexity into business opportunity, helping organizations unlock new value in today's fast-changing world.

Interested in this role?

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