Software Engineer, Infrastructure

Software Engineer, Infrastructure

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, 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 and manage cloud infrastructure across AWS, GCP, or Azure environments.
• Build and maintain deployment packages, installation 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 performance, including compute, storage, networking, and database layers.
• Implement security best practices and ensure infrastructure meets enterprise compliance requirements for both managed and self-hosted deployments.

What You'll Need

• 3+ years building and operating large-scale distributed systems in production environments.
• Strong experience writing and maintaining Terraform for infrastructure provisioning and management.
• Deep knowledge of at least one major cloud provider (AWS, GCP, or Azure), including compute, networking, storage, and managed services.
• Experience building, packaging, and supporting self-hosted or on-premises software deployments for enterprise customers.
• Proficiency in Python, Go, or similar languages for building automation, tooling, and infrastructure services.
• Strong understanding of networking, databases, containerization (Docker, Kubernetes), and orchestration systems.
• Experience with monitoring, logging, alerting, and incident management tools (e.g., Datadog, Prometheus, Grafana, PagerDuty).
• Ability to communicate technical concepts clearly to customers and provide infrastructure support and guidance.
• Ability to debug complex system issues, analyze performance bottlenecks, and implement effective solutions.

Nice to Have

• Experience with Kubernetes in production, including cluster management and workload orchestration.
• Background in CI/CD systems, build pipelines, and deployment automation.
• Experience with workflow orchestration systems such as Temporal, including long-running workflows, retries, and failure handling.
• Experience with data infrastructure (streaming systems like Kafka, data warehouses, ETL pipelines).
• Knowledge of security and compliance frameworks (SOC 2, ISO 27001, GDPR).
• Experience supporting enterprise customers with complex deployment requirements.
• Previous work at a high-growth startup or experience scaling infrastructure rapidly.

What We Offer

• Impact : Be a key player in shaping the success of our product and company.
• Growth : Build a fundamentally new AI product offering with the support of our experienced team and investors. Grow rapidly with the company.
• Culture : Join a culture that values innovation, ownership, accountability, and fun.