
11 - 50 employees
🤖 Artificial Intelligence
🔒 Cybersecurity
☁️ SaaS
Artificial Intelligence • Cybersecurity • SaaS
Runlayer is a security and orchestration platform that connects AI clients, MCPs (model-connected protocols), skills, plugins, and agents to the enterprise stack with fine-grained permissions, real-time threat detection, and complete observability. It provides a centralized, secure registry, one-click deployment, and integrations with SSO/SCIM and enterprise identity providers, and can be run self-hosted or in the cloud to make AI tools enterprise-ready while preventing data leaks and enforcing governance.
🕒 April 3
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11 - 50 employees
🤖 Artificial Intelligence
🔒 Cybersecurity
☁️ SaaS
Artificial Intelligence • Cybersecurity • SaaS
Runlayer is a security and orchestration platform that connects AI clients, MCPs (model-connected protocols), skills, plugins, and agents to the enterprise stack with fine-grained permissions, real-time threat detection, and complete observability. It provides a centralized, secure registry, one-click deployment, and integrations with SSO/SCIM and enterprise identity providers, and can be run self-hosted or in the cloud to make AI tools enterprise-ready while preventing data leaks and enforcing governance.
• Own reliability and performance of our cloud infrastructure across AWS (ECS, Aurora, CloudWatch) and GCP • Manage and optimize Kubernetes clusters and container orchestration • Drive database reliability engineering, including performance tuning and scaling • Build and maintain CI/CD pipelines for rapid, safe deployments • Run incident response and on-call rotations • Partner with product engineers to design scalable, resilient systems
• Strong AWS experience, particularly ECS, Aurora, and CloudWatch • GCP experience as we expand cross-cloud • Kubernetes and container orchestration expertise • DBRE experience with database performance tuning • CI/CD pipeline ownership and incident response experience • Background at a B2B SaaS company serving enterprise customers, ideally in infrastructure • Bonus Qualifications: Experience deploying and supporting on-prem or hybrid environments, Python backend familiarity (our platform is Python-based), Experience at an early-stage or high-growth company
• Competitive salary and equity — compensation that reflects your expertise and customer-facing responsibilities. • Paid time off — 4 weeks paid vacation, paid sick leave, and paid parental leave. • Professional development — budget for conferences, courses, and certifications in AI, enterprise software, and customer success. • Top-tier equipment — your choice of laptop and accessories to create your ideal work environment. • Health benefits — comprehensive health, dental, and vision coverage. • Customer interaction opportunities — work directly with innovative companies and see the immediate impact of your work.
Apply Now🕒 April 2
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🦅 H1B Visa Sponsor
🕒 April 1
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