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 • Lisbon, Portugal; Porto, Portugal
Workato is seeking a Senior Infrastructure Engineer (ML/AI) to manage Kubernetes clusters and develop solutions using Python. This role requires strong experience with AWS and a passion for machine learning and AI technologies.
You have a strong background in infrastructure engineering, particularly in managing Kubernetes clusters and workloads. Your expertise in AWS, especially with EKS (Elastic Kubernetes Service), allows you to effectively deploy and manage cloud-native applications. Proficiency in Python is essential for this role, and you are comfortable programming in additional languages such as Go, Ruby, or JavaScript. You are ready to communicate in English with your colleagues and thrive in a collaborative environment.
Experience with machine learning frameworks and tools is a plus, as is familiarity with orchestration tools like Dagster. You have a keen interest in AI technologies and are eager to contribute to innovative projects that leverage these advancements.
As a Senior Infrastructure Engineer at Workato, you will be responsible for designing and implementing scalable infrastructure solutions that support our AI-powered platform. You will manage Kubernetes clusters, ensuring they are optimized for performance and reliability. Your role will involve collaborating with cross-functional teams to integrate machine learning models into our infrastructure, enabling real-time data processing and workflow automation. You will also be tasked with troubleshooting and resolving infrastructure issues, ensuring minimal downtime and maximum efficiency.
You will have the opportunity to mentor junior engineers, sharing your knowledge and expertise in cloud technologies and best practices. Your contributions will directly impact the efficiency and agility of our operations, helping businesses streamline their processes and unlock new value.
At Workato, we foster a flexible and trust-oriented culture that empowers everyone to take full ownership of their roles. We believe in balancing productivity with self-care, offering a vibrant work environment along with a multitude of benefits. You will be part of a team that is recognized for its innovation and growth, with opportunities for professional development and career advancement. Join us in transforming technology complexity into business opportunity and be part of a company that is leading the way in enterprise orchestration.
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