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. To learn more, visit www.workato.com
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 . 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!
Задачи
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
Требования
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
Experience with observability tools such as Grafana, Prometheus, or VictoriaMetrics
Будет плюсом
Experience with Golang for tooling or internal services
Experience building cross-cloud AI infrastructure
Familiarity with Kafka, Redis, ClickHouse, PostgreSQL, or similar technologies
Understanding of Vault or other secrets management systems
Contributions to or maintenance of open-source infrastructure projects