Software Engineer, Infrastructure
About Serval
AI-native ITSM platform for enterprises that automates help desk, access, onboarding, and workflows through auditable agents that build and run automations.
Series B · 50–100 people
Job description
The full responsibilities and requirements are on the employer’s site.
Open application page ↗Source and classification
Internal deployment & tooling · Evidence for this classification:
manual work across the enterprise and give teams leverage through intelligent automation. Long term, we’re building the universal AI operations layer — a system of agents that sits across business functions and runs the workflows that keep modern companies moving. We’re backed by leading investors including Sequoia Capital, Redpoint Ventures, Meritech, First Round, General Catalyst, Elad Gil, and others. Role Overview Serval is building an AI platform to automate complex IT workflows for modern enterprises. As a Software Engineer, Infrastructure, you'll build and scale the foundational systems that power Serval's AI agents and workflow automation platform. A critical part of this role is enabling and supporting self-hosted deployments for enterprise customers who require on-premises or private cloud installations. This role is for engineers with deep expertise in distributed systems,
More from the job description
Who We Are Serval is an AI-native automation platform transforming how enterprises operate. We build intelligent agents that understand real-world workflows and execute them end-to-end — replacing manual processes and rigid legacy systems with adaptive, learning software. Founded in early 2024, Serval is already trusted by companies like Fox, Notion, Perplexity, Vercel, and Brex to automate high-volume, high-friction operational work across their organizations. At the core of Serval is an agentic AI platform that turns natural language into production-grade workflows. Our agents don’t just respond to requests — they reason, take action across systems, and continuously improve with usage. What began with operational use cases has quickly evolved into a horizontal AI automation layer used across IT, HR, Finance, Security, Legal, and Engineering. Our mission is to eliminate repetitive, manual work across the enterprise and give teams leverage through intelligent automation. Long term, we’re building the universal AI operations layer — a system of agents that sits across business functions and runs the workflows that keep modern companies moving. We’re backed by leading investors including Sequoia Capital, Redpoint Ventures, Meritech, First Round, General Catalyst, Elad Gil, and others. Role Overview Serval is building an AI platform to automate complex IT workflows for moder [... source excerpt omitted ...] foundational systems that power Serval's AI agents and workflow automation platform. A critical part of this role is enabling and supporting self-hosted deployments for enterprise customers who require on-premises or private cloud installations. This role is for engineers with deep expertise in distributed systems, infrastructure-as-code, production operations, and customer-facing infrastructure support who want to shape the technical architecture of a fast-growing platform. What You'll Do Design, implement, and operate large-scale distributed systems that power Serval's AI agents, workflow orchestration, and data pipelines. Write and maintain Terraform modules to provision an [... source excerpt omitted ...] on scripts, and infrastructure templates that enable customers to self-host Serval in their own environments. Provide technical guidance and troubleshooting support to enterprise customers deploying and operating self-hosted instances of Serval. Ensure high availability, performance, and reliability of production systems through monitoring, alerting, incident response, and capacity planning. Build internal tools and platforms that enable product engineers to deploy, test, and operate services efficiently. Collaborate with engineering teams to design resilient, scalable architectures that support both cloud-hosted and self-hosted deployment models. Profile and optimize system
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