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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer, Infrastructure Organization - **Company:** Serval, Inc. - **Location:** San Francisco, CA, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Computer Networks, Databases, Continuous Delivery, Continuous Integration, Data Infrastructure, Extract Transform Load (ETL), Data Warehousing, Software Debugging, Distributed Systems, Home Automation, Systems Analysis, Python (Programming Language), Performance Tuning, Prometheus, Software Deployment, Software Engineering, Private Cloud Environment, Datadog, Data Logging, Scripting, Google Cloud, System Availability, Delivery Pipeline, Grafana, Reliability of Systems, Containerization, AI Platforms, Kubernetes, Deployment Automation, Apache Kafka, Data Management, Terraform, Stream Processing, Data Pipelines, Docker, Pagerduty, Golang - **Published:** August 9, 2026 - **Apply:** https://www.careerbuilder.com/job-details/software-engineer-infrastructure-san-francisco-ca--185977f1-c22f-4bfd-bd7e-861f1af835ae ## About the Role * 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., Amazon Web Services (AWS), Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Automation, Best Practices, Capacity Management, Cloud Computing, Communication Skills, Computer Networks, Continuous Deployment/Delivery, Continuous Improvement, Continuous Integration, Customer Relations, Customer Support/Service, Data Management, Debugging Skills, Distributed Computing, Docker, Finance, GCP (Good Clinical Practices), Go Programming Language (Golang), High Availability, Home Automation, ISO (International Organization for Standardization), Identify Issues, Incident Management, Incident Response, Large-Scale Systems, Legal, Machine Tool, Microsoft Windows Azure, Performance Analysis, Performance Management, Performance Tuning/Optimization, Private Cloud, Product Engineering, Production Control, Production Systems, Python Programming/Scripting Language, Regulatory Compliance, Scripting (Scripting Languages), Software Agents, Software Engineering, Startup, Systems Analysis, Systems Reliability, Technical Leadership, Technical Support, Testing, Use Cases, Writing Skills ## Description 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. ## Related Videos - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [The OpenTelemetry mistakes I keep seeing (and how to stop making them)](https://www.wearedevelopers.com/videos/100158-the-opentelemetry-mistakes-i-keep-seeing-and-how-to-stop-making-them) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Retooling and refactoring - an investment in people.](https://www.wearedevelopers.com/videos/371-retooling-and-refactoring-an-investment-in-people) - [My journey into DevOps world - How it all started!](https://www.wearedevelopers.com/videos/545-my-journey-into-devops-world-how-it-all-started) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated) - [Why Upskilling And Reskilling is Important For Developers](https://www.wearedevelopers.com/magazine/428-why-upskilling-and-reskilling-is-important-for-developers) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this)