
The integration platform for seamless workflow automation
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...
Workato offers flexible working arrangements with a hybrid remote model, generous PTO, and employee stock options. Additional benefits include health ...
Workato fosters a culture of integration and collaboration, focusing on empowering users with minimal technical skills to streamline their workflows. ...

Workato • Amsterdam, Netherlands
Workato is seeking a Senior Infrastructure Engineer specializing in ML/AI to manage Kubernetes clusters and develop solutions using Python. This role requires strong experience in cloud services, particularly AWS.
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. You are comfortable communicating in English and thrive in collaborative environments.
You understand the complexities of enterprise orchestration and have a passion for transforming technology challenges into business opportunities. Your problem-solving skills are complemented by a readiness to innovate and adapt in a fast-paced environment. You are a team player who values ownership and accountability in your role.
Experience with Dagster is preferred, as it aligns with the responsibilities of the ML/AI team. Familiarity with cloud infrastructure and orchestration tools will be beneficial in this role. A background in developing AI-powered solutions will also set you apart as a candidate.
In this role, you will be responsible for managing and optimizing Kubernetes clusters to ensure high availability and performance of applications. You will collaborate with cross-functional teams to design and implement infrastructure solutions that support machine learning workflows. Your expertise in Python will be utilized to develop automation scripts and tools that enhance operational efficiency.
You will play a key role in driving the adoption of best practices in cloud infrastructure management and contribute to the continuous improvement of deployment processes. Your insights will help shape the future of Workato's infrastructure strategy, enabling teams to navigate complex workflows effectively.
You will also engage in troubleshooting and resolving infrastructure-related issues, ensuring minimal downtime and optimal performance. Your contributions will directly impact the efficiency and agility of the organization, empowering teams to unlock new value.
Workato fosters a flexible and trust-oriented culture that empowers employees to take full ownership of their roles. You will enjoy a vibrant work environment with numerous benefits that promote both productivity and self-care. The company is recognized for its innovative approach and commitment to employee well-being, making it an ideal place for those looking to grow their careers in technology.
Join a community of 400,000 global customers and be part of a team that is transforming technology complexity into business opportunity. Workato is dedicated to driving efficiency and agility through its AI-powered platform, and you will have the chance to contribute to this mission.
We encourage you to apply even if your experience doesn't match every requirement. Your unique perspective and skills could be the perfect fit for our team.
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