Principal Software Engineer, Platform Engineering & Edge Infrastructure
Saviynt
Listing collected from Saviynt's career site. NextChapter is independent of Saviynt.
Milpitas, CA · $240k–$250k a year · Posted June 29, 2026
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Where Milpitas, CA ranks
Where Milpitas, CA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #12Best cities for mid-career professionals in the West Coast60% · of 71
- #17Best cities for manufacturing and industrial pay after cost of living$132k · of 35
- #19Best cities for pay after cost of living in California$149k · of 32
- #20Best all-round cities for mid-career professionals in the West Coast46 / 100 · of 39
- #20Best all-round cities for AI careers in the West Coast44 / 100 · of 39
- #21Cities with the most jobs that need no experience in the West Coast0.8% · of 66
Rankings about engineering jobs
- Best cities for software and engineering jobs #1 San Francisco (3,412 openings)
- Best cities for engineering pay after cost of living #1 San Mateo ($216k)
- Most requested AI skills in engineering jobs #1 AI tools in daily work (6.1%)
- AI tools named most often in engineering jobs #1 Claude (1.7%)
- Employers with the most engineering jobs #1 Amazon (2,992 roles)
Pay compared with the market
This listing pays about $245,000 a year. Across 104 open principal software engineer listings that state pay, the middle half runs $210,500 to $320,000 and the median is $279,000. That is inside the middle half of those listings, 12% below the median.
Listed pay is what employers advertise, not what people are paid.
Principal Software Engineer salaries by state · Check your own pay
How AI is used in this kind of work
Among software developers, AI is already used for some of the tasks. Measured exposure for software developers: 29% (some).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
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About the job
Saviynt's AI-powered identity platform manages and governs human and non-human access to all of an organization's applications, data, and business processes. Customers trust Saviynt to safeguard their digital assets, drive operational efficiency, and reduce compliance costs. Built for the AI age, Saviynt is today helping organizations safely accelerate their deployment and usage of AI. Saviynt is recognized as the leader in identity security, with solutions that protect and empower the world’s leading brands, Fortune 500 companies and government institutions. For more information, please visit www.saviynt.com.
Come join us as founding members of Saviynt’s AI Security team and help us build out AI security for the world's leading enterprises.
WHAT YOU WILL BE DOING
Design and operate the infrastructure powering Cloud and Edge platform deployments.
Build deployment automation for distributed Edge PoPs supporting headquarters, branch offices, regional hubs, and customer data centers.
Design highly available deployment architectures supporting secure fail-closed operation and resilient policy synchronization.
Build CI/CD pipelines, release automation, upgrade orchestration, and lifecycle management for Cloud, Edge, and Endpoint components.
Develop observability platforms, including logging, metrics, tracing, health monitoring, and audit pipelines.
Automate provisioning, certificate lifecycle management, secrets management, and secure configuration distribution.
Drive platform scalability, operational excellence, reliability, disaster recovery, and security.
AI & Agentic Engineering
Apply AI-assisted engineering across infrastructure, deployment automation, and platform operations.
Build infrastructure supporting AI-native applications, AI services, and distributed agentic workloads.
Follow AI SDLC best practices for software delivery, automation, deployment, monitoring, and continuous improvement.
Evaluate emerging AI infrastructure technologies to improve engineering productivity and operational efficiency.
WHAT YOU BRING
1+ years of Principal-level of platform engineering, DevOps, or Site Reliability Engineering experience.
Deep experience operating Kubernetes and cloud-native platforms at enterprise scale.
Strong experience with Terraform, Helm, GitHub Actions, ArgoCD, Ansible, or similar automation technologies.
Experience with distributed networking, service meshes, proxies, DNS, load balancing, and TLS.
Strong experience in Linux systems administration and infrastructure automation.
Experience deploying highly available distributed enterprise software across multiple customer environments.
Hands-on experience using AI-assisted development tools such as GitHub Copilot, Cursor, Claude Code, Windsurf, ChatGPT, or similar.
Understanding of AI application architectures, AI agents, MCP, and AI-enabled infrastructure.
Familiarity with AI SDLC best practices, including AI-assisted development, automated testing, CI/CD automation, observability, and responsible use of AI-generated code.
Strong operational mindset with excellent communication, collaboration, and leadership skills.
Saviynt is an amazing place to work. We are a high-growth, Platform as a Service company focused on Identity Authority to power and protect the world at work. You will experience tremendous growth and learning opportunities through challenging yet rewarding work which directly impacts our customers, all within a welcoming and positive work environment. If you're resilient and enjoy working in a dynamic environment you belong with us! Security & ComplianceThis role requires adherence to Saviynt’s information security and privacy policies and procedures, including annual security training.
Saviynt is an equal opportunity employer and we welcome everyone to our team. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.