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Infrastructure Software Engineer Jobs in California

KLA

System Software Engineer (HPC)

Milpitas, CA · On-site

$197K - $233K/yr

... infrastructure & software necessary for large scale experimentation and deployment of HPC solutions. Qualifications : Required : • 2+ years building core-product software. • Strong in Object ...

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Infrastructure Software Engineer information

See California salary details

$114K

$177.9K

$203.8K

How much do infrastructure software engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for infrastructure software engineer in California is $177,905.00, according to ZipRecruiter salary data. Most workers in this role earn between $170,700.00 and $202,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Infrastructure Software Engineer position, and why are they important?

To thrive as an Infrastructure Software Engineer, you need a deep understanding of computer systems, networking, cloud infrastructure, and proficiency in programming languages such as Python, Go, or Java. Experience with infrastructure automation tools (like Terraform, Ansible, or Kubernetes), cloud platforms (AWS, Azure, GCP), and possibly certifications such as AWS Certified Solutions Architect are highly valuable. Effective collaboration, problem-solving abilities, and strong communication skills help you excel in cross-functional teams and fast-paced environments. These skills are critical to building scalable, reliable systems and ensuring seamless deployment and maintenance of company infrastructure.

What does an Infrastructure Software Engineer do?

An Infrastructure Software Engineer designs, builds, and maintains the foundational software systems that support applications, networking, and cloud environments. They focus on scalability, reliability, and performance by developing automation tools, managing CI/CD pipelines, and optimizing infrastructure. Their work ensures systems run efficiently, securely, and with minimal downtime.

What are the typical day-to-day responsibilities of an Infrastructure Software Engineer?

As an Infrastructure Software Engineer, your typical day involves designing, implementing, and maintaining automation workflows for infrastructure deployment, monitoring system performance, and responding to incidents or outages. You'll work closely with development, DevOps, and IT teams to ensure infrastructure scalability, reliability, and security. Regular tasks may include writing scripts, managing cloud resources, evaluating new tools, and participating in on-call rotations. Collaboration and proactive problem-solving are central to meeting both technical and business needs efficiently. This role offers a dynamic blend of hands-on technical work and teamwork in evolving environments.

What are the most commonly searched types of Infrastructure Software Engineer jobs in California? The most popular types of Infrastructure Software Engineer jobs in California are:
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What cities in California are hiring for Infrastructure Software Engineer jobs? Cities in California with the most Infrastructure Software Engineer job openings:
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Infrastructure Software Engineer jobs near you

Software Engineer, Infrastructure

Serval Inc

San Francisco, CA • On-site

$200K - $325K/yr

Full-time

Re-posted 17 days ago

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 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.

Apply