{"id":120843,"url":"https://alion.io/job/saviynt-principal-software-engineer-platform-engineering-edge-infrastructure","title":"Principal Software Engineer, Platform Engineering & Edge Infrastructure","company":{"id":5841,"name":"Saviynt","domain":"saviynt.com","url":"https://alion.io/company/saviynt","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":92,"open_postings":67,"ghost_share":0.045,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":151,"computed_at":"2026-10-17T05:46:00Z"}},"role":"DevOps","role_family":"DevOps","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Milpitas, United States","Vancouver, 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for Cloud, Edge, and Endpoint components.\n\nDevelop observability platforms, including logging, metrics, tracing, health monitoring, and audit pipelines.\n\nAutomate provisioning, certificate lifecycle management, secrets management, and secure configuration distribution.\n\nDrive platform scalability, operational excellence, reliability, disaster recovery, and security.\n\nAI & Agentic Engineering\nApply AI-assisted engineering across infrastructure, deployment automation, and platform operations.\n\nBuild infrastructure supporting AI-native applications, AI services, and distributed agentic workloads.\n\nFollow AI SDLC best practices for software delivery, automation, deployment, monitoring, and continuous improvement.\n\nEvaluate emerging AI infrastructure technologies to improve engineering productivity and operational efficiency.\n\nWHAT YOU BRING\n1+ years of Principal-level of platform engineering, DevOps, or Site Reliability Engineering experience.\n\nDeep experience operating Kubernetes and cloud-native platforms at enterprise scale.\n\nStrong experience with Terraform, Helm, GitHub Actions, ArgoCD, Ansible, or similar automation technologies.\n\nExperience with distributed networking, service meshes, proxies, DNS, load balancing, and TLS.\n\nStrong experience in Linux systems administration and infrastructure automation.\n\nExperience deploying highly available distributed enterprise software across multiple customer environments.\n\nHands-on experience using AI-assisted development tools such as GitHub Copilot, Cursor, Claude Code, Windsurf, ChatGPT, or similar.\n\nUnderstanding of AI application architectures, AI agents, MCP, and AI-enabled infrastructure.\n\nFamiliarity with AI SDLC best practices, including AI-assisted development, automated testing, CI/CD automation, observability, and responsible use of AI-generated code.\n\nStrong operational mindset with excellent communication, collaboration, and leadership 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