Principal Software Engineer, Platform Engineering & Edge Infrastructure
Role details
Job location
Tech stack
Job description
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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., * 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., You may also be eligible to participate in a Saviynt discretionary bonus plan, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. If required for this role, you will:
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Complete security & privacy literacy and awareness training during onboarding and annually thereafter
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Review (initially and annually thereafter), understand, and adhere to Information Security/Privacy Policies and Procedures such as (but not limited to):
Data Classification, Retention & Handling Policy Incident Response Policy/Procedures Business Continuity/Disaster Recovery Policy/Procedures
Requirements
- 2+ 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.
Benefits & conditions
$240,000 - $250,000 a year We offer you a competitive total rewards package, learning and tremendous opportunities to grow and advance in your career. At Saviynt, it is not typical for an individual to be hired at or near the top of the range for their role and final compensation decisions are dependent on many factors including but are not limited to location; skill sets; experience and training; licensure and certifications; and other relevant business and organizational needs. A reasonable estimate of the current range is $240,000 - $250,000 annually.