About Workato Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business.

Why Join Us

Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care .

Benefits

they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you!

com/go . You will work closely with engineers in the US and across international teams to design, scale, and secure the systems that power Workato’s automation platform - trusted by thousands of enterprises and processing billions of events every day. Role Overview As a Senior Infrastructure Engineer , you’ll be part of the team responsible for the architecture, scalability, and reliability of Workato’s distributed cloud platform.

You’ll design and optimize the systems that allow our services to run securely and efficiently at scale. This is a highly technical role that requires deep experience with cloud infrastructure, Linux internals, and large-scale distributed systems.

Responsibilities

Design, build, and maintain a global, distributed, and resilient cloud infrastructure. Collaborate with AI engineering and iPaaS engineering teams to plan and deliver complex platform initiatives. Patch and optimize open-source components for performance and security.

Build iPaaS and AI infrastructure at scale and cross-cloud. Manage and provision AWS infrastructure using Terraform and Kubernetes. Write and maintain Kubernetes manifests and deployment configurations for critical workloads.

Improve and maintain CI/CD pipelines for scalable and secure component delivery. Tune Linux systems and open-source software for high performance and hardened security. Build internal tools to streamline engineering workflows and operational automation.

Participate in architecture reviews, incident response, and performance analysis to ensure system reliability.

Requirements

7+ years of experience in infrastructure or systems engineering roles. Proven expertise in distributed systems and cloud-native architectures. Strong understanding of Linux internals, including networking and system-level performance tuning.

Experience operating infrastructure on AWS at scale. Proficiency with Terraform, Kubernetes. Solid understanding of network security and cloud security best practices.

Hands-on experience optimizing CI/CD workflows and automating deployments. Excellent analytical, troubleshooting, and communication skills.

Nice To Have

Experience with Golang for tooling or internal services. Experience building cross-cloud AI infrastructure.

Senior Infrastructure Engineer (Core Infra, US)