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OutSystems

Low-code platform for enterprise-grade apps

Lead Platform Operations Expert

Cloud EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USA$131.8k - $160.4k

About the Job

Requirements

  • At least 8 years of experience in infrastructure, cloud, or platform operations, including at least 3 years leading technical teams or engagements.
  • Production experience with Kubernetes networking, storage, and role-based access control, and Windows Server with Internet Information Services; deep expertise in one and working knowledge of the other is sufficient.
  • Strong command of networking, load balancing, firewalls, Transport Layer Security, OpenID Connect identity providers, and security hardening, plus production administration of SQL Server, Oracle, or PostgreSQL.
  • A track record of designing high availability and disaster recovery for business-critical systems.
  • Experience with Infrastructure as Code and automation tools such as Terraform, Ansible, Flux CD, PowerShell, or Bash.
  • Clear, confident communication with customers, the ability to explain decisions to both engineers and chief information officers, and the ability to see complex problems through to completion.
  • A bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • Willingness to travel up to 20%.

Responsibilities

  • Own the technical strategy for large, multiregion OutSystems infrastructures across both platform generations, from initial design through production. For OutSystems 11, work with Windows Server, Internet Information Services, and SQL Server or Oracle, self-managed on premises or in the customer's cloud. For OutSystems Developer Cloud, work with its cloud-native Kubernetes and Linux-container platform, including ODC Self-Hosted, where OutSystems runs platform services and customers run Test and Production in their own Kubernetes clusters (OpenShift, AKS, EKS, or GKE), backed by PostgreSQL and a service stack including Istio, Gloo Edge, Flux CD, HashiCorp Vault, and OpenTelemetry.
  • Design and review secure, highly available architectures covering compute, web servers, network segmentation, load balancers, firewalls, identity, databases, monitoring, backup, and disaster recovery.
  • Lead troubleshooting of complex full-stack issues and take charge when a business-critical system is at risk.
  • Move customers from manual platform maintenance to autonomous operations using observability, AIOps, and automation to predict and prevent failures before users notice them.
  • Help customers run AI agents safely in production, including private large language model hosting, secure AI gateways, model endpoint control, and data residency.
  • Build repeatable practices with Infrastructure as Code, GitOps, configuration management, and scripting, and turn them into reusable team playbooks.
  • Coach customer teams and OutSystems colleagues so customers can operate the platform confidently on their own.
  • Bring field-tested requirements to Product Management and Engineering to shape how the platform deploys, scales, and runs AI workloads.

Desired Qualifications

  • Experience with OutSystems, ideally with an OutSystems certification.
  • Experience with OpenTelemetry and application performance monitoring tools such as Dynatrace, New Relic, or Splunk, and practical exposure to AIOps, private large language model hosting, or secure AI gateway management.
  • Cloud, Kubernetes, or security certifications, such as AWS, Azure, or Google Cloud architect certifications, Certified Kubernetes Administrator, Red Hat OpenShift, or CISSP.
  • A consulting or professional services background with customers in regulated industries such as banking, insurance, healthcare, or government.

About the Company

OutSystems

Low-code platform for enterprise-grade apps

OutSystems provides a high-performance low-code development platform for building and deploying enterprise-grade applications, with built-in AI to speed up development. Users create apps through a visual, low-code interface, use AI-assisted tools to accelerate coding and testing, and deploy to cloud or mobile, covering development, testing, deployment and ongoing management. The platform combines enterprise-grade capabilities with AI-driven acceleration, end-to-end lifecycle support, and a large learning ecosystem with extensive resources. Its goal is to help organizations digitally transform by delivering faster, scalable, and intelligent applications across industries, with a pricing model that starts free and scales as needed.

Company size
1,001-5,000
Company stage
Growth Equity (Venture Capital)
Total funding
$799.8M
Headquarters
Boston, MA
Founded
2001

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