Principal Software Engineer, Platform Engineering & Edge Infrastructure
AI Summary
Principal-level engineer designing and operating cloud and edge infrastructure, building deployment automation, CI/CD pipelines, and observability for distributed PoPs and enterprise platforms.
About this role
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
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Design and operate the infrastructure powering Cloud and Edge platform deployments.
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Build deployment automation for distributed Edge PoPs supporting headquarters, branch offices, regional hubs, and customer data centers.
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Design highly available deployment architectures supporting secure fail-closed operation and resilient policy synchronization.
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Build CI/CD pipelines, release automation, upgrade orchestration, and lifecycle management for Cloud, Edge, and Endpoint components.
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Develop observability platforms, including logging, metrics, tracing, health monitoring, and audit pipelines.
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Automate provisioning, certificate lifecycle management, secrets management, and secure configuration distribution.
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Drive platform scalability, operational excellence, reliability, disaster recovery, and security.
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Apply AI-assisted engineering across infrastructure, deployment automation, and platform operations.
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Build infrastructure supporting AI-native applications, AI services, and distributed agentic workloads.
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Follow AI SDLC best practices for software delivery, automation, deployment, monitoring, and continuous improvement.
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Evaluate emerging AI infrastructure technologies to improve engineering productivity and operational efficiency.
AI & Agentic Engineering
WHAT YOU BRING
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2+ years of Principal-level of platform engineering, DevOps, or Site Reliability Engineering experience.
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Deep experience operating Kubernetes and cloud-native platforms at enterprise scale.
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Strong experience with Terraform, Helm, GitHub Actions, ArgoCD, Ansible, or similar automation technologies.
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Experience with distributed networking, service meshes, proxies, DNS, load balancing, and TLS.
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Strong experience in Linux systems administration and infrastructure automation.
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Experience deploying highly available distributed enterprise software across multiple customer environments.
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Hands-on experience using AI-assisted development tools such as GitHub Copilot, Cursor, Claude Code, Windsurf, ChatGPT, or similar.
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Understanding of AI application architectures, AI agents, MCP, and AI-enabled infrastructure.
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Familiarity with AI SDLC best practices, including AI-assisted development, automated testing, CI/CD automation, observability, and responsible use of AI-generated code.
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Strong operational mindset with excellent communication, collaboration, and leadership skills.
Skills
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All reports →- Role reportSoftware engineer jobs, Sep 2026: new listings down 9.7%New software engineer listings fell 9.7% to 1,506 this week, the first weekly drop in a month. Prioritize applications while 1,506 fresh roles remain open.
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- Market overviewState of tech hiring, September 2026: up 4.8%Tech hiring rose 4.8% month over month in September 2026, with 411,122 new listings. Customer support and account executive roles led the growth.