Senior Infrastructure Engineer (AI Lab)

But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of 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!

Also, feel free to check out why:

• Business Insider named us an “enterprise startup to bet your career on”
• Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world
• Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
• Quartz ranked us the #1 best company for remote workers

Responsibilities

We are hiring a Senior Infrastructure Engineer to join our Global Core Infrastructure team in conjunction with the Workato AI Lab in Singapore. You will work closely with engineers in Singapore, 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.

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.

In this role, you will also be responsible to:

Design, build, and maintain a global, distributed, and resilient cloud infrastructure.

Collaborate with US-based engineering teams to plan and deliver complex platform initiatives.

Patch and optimize open-source components for performance and security.

Develop low-level internal services using Linux syscalls and networking primitives.

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

Qualifications / Experience / Technical Skills

5+ 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.

Familiarity with Kafka, Redis, ClickHouse, PostgreSQL, or similar technologies.

Experience with observability tools such as Grafana, Prometheus, or VictoriaMetrics.

Understanding of Vault or other secrets management systems.

Contributions to or maintenance of open-source infrastructure projects.

Tech Stack

AWS • Terraform • Kubernetes • Docker • Linux • Golang • ArgoCD • Kafka • PostgreSQL Redis • ClickHouse • Grafana • VictoriaMetrics • Vault

(REQ ID: 2437)