ScaleOps

Full-stack Engineer

• Own ScaleOps' infrastructure end-to-end, including its self-hosted product, installation and onboarding flows, SaaS platform, and AI infrastructure
• Manage cloud infrastructure across AWS, GCP, and Azure, including networking, security, SSO, and compute
• Work closely with customers on deployments and troubleshooting
• Collaborate with backend, product, and R&D teams to support rapid feature delivery without compromising reliability
• Identify and eliminate operational toil through automation and tooling improvements
• Maintain security and compliance best practices across the infrastructure stack

Explore Infra Engineer Team Lead at ScaleOps. Review requirements and application details.

Infra Engineer Team Lead

AI Engineer

• Design and build autonomous AI agents that analyze infrastructure in real time and make intelligent decisions
• Develop multi-agent systems for troubleshooting, optimization, FinOps, and how-to use cases
• Use LLM capabilities including tool use, memory, and retrieval safely in production
• Develop MCPs exposing ScaleOps capabilities to AI agents
• Build integrations with Slack, Jira, Cursor, Windsurf, and other AI-powered IDEs
• Build and deploy machine learning models for infrastructure policy detection, scaling prediction, and GPU configuration recommendations
• Own the complete ML pipeline from training through production
• Build internal AI tools for engineering, development, research, and support
• Develop AI-powered tools for Sales and Support teams, including infrastructure analysis and cost optimization reports
• Own AI systems from concept to production, targeting sub-2-second responses, reliability, safety, and cost-effectiveness
• Build evaluation frameworks and implement security controls
• Define AI architecture and best practices as a founding member of the AI team
• Make technical decisions on frameworks, multi-agent systems, and data governance

Explore AI Engineer at ScaleOps. Review requirements and application details.