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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 • Sofia, Bulgaria

Posted 12h agoSeniorInfrastructure engineer📍 Sofia
Apply Now →

Skills & Technologies

PythonKubernetesAWS

Overview

Workato is hiring a Senior Infrastructure Engineer (ML/AI) to manage Kubernetes clusters and develop solutions using Python. This role requires strong experience in AWS and Kubernetes management.

Job Description

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 AWS EKS. Proficiency in Python is essential, and familiarity with additional programming languages such as Go, Ruby, or JavaScript is a plus. You are ready to communicate effectively in English with your colleagues and thrive in a collaborative environment.

Desirable

Experience with Dagster is preferred, showcasing your ability to work with orchestration tools in ML/AI contexts. You have a passion for innovation and a desire to contribute to a flexible, trust-oriented culture that empowers team members.

What you'll do

As a Senior Infrastructure Engineer at Workato, you will be responsible for managing and optimizing Kubernetes clusters to support our ML/AI initiatives. You will collaborate with cross-functional teams to design and implement infrastructure solutions that enhance operational efficiency. Your role will involve developing and maintaining CI/CD pipelines, ensuring the reliability and scalability of our systems. You will also engage in troubleshooting and resolving infrastructure-related issues, contributing to the overall performance of our AI-powered platform.

You will have the opportunity to mentor junior engineers, sharing your expertise in infrastructure management and best practices. Your contributions will directly impact the success of our projects, enabling teams to navigate complex workflows in real-time. You will participate in architectural discussions, providing insights that shape the future of our infrastructure.

What we offer

Workato provides a vibrant and dynamic work environment that balances productivity with self-care. We offer a multitude of benefits designed to support your well-being both inside and outside of work. Our culture encourages innovation and collaboration, allowing you to take full ownership of your role. We believe in fostering a flexible work environment that empowers everyone to thrive. Join us and be part of a team that is transforming technology complexity into business opportunity.

Interested in this role?

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