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Est. Monthly
Estimated €10,996
Posted August 6, 2026 · 2 days agoLast seen August 7, 2026Est. expiry September 10, 2026

Infrastructure Engineer

Senior Infrastructure Engineer (AI Lab)
Singapore, Singapore
Onsite · Software Engineering
Full-time · Senior
English
No People Management
7 years experience
How this salary compares
Salary Context: Infrastructure Engineer

Hover or tap a row for full statistics (EUR / month on this chart).

Salary analysis

Compared with the selected benchmark ("All roles in Singapore, Singapore"), this listing's salary midpoint is about 92% lower. The offer sits below the benchmark range (€8,681–€13,311). Range-width comparison is limited because one of the salary bands is incomplete. This benchmark is based on 2 comparable listings.

Monthly salary comparison for Infrastructure Engineer
MarketLower bound (25th percentile)MedianUpper bound (75th percentile)
All roles in Singapore, Singapore€8,681/per month€10,996/per month€13,311/per month
Pay in our data — not quoted in ad (Senior)€916/per month€916/per month€916/per month
About the role

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. 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. 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 - 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. - 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

Job Details

Responsibilities

  • 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

  • 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 and 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

Skills & Technologies

AWSTerraformKubernetesDockerLinuxGolangArgoCDKafkaPostgreSQLRedisClickHouseGrafanaVictoriaMetricsVault
Seen 21 hours agoContent Complete
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