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Lead the end-to-end vision and architecture for a governed, multi-tenant data platform: design real-time ingestion and streaming, transformation and storage for mixed workloads, unified access and tenant isolation, observability and governance, cost controls, and organizational standards. Drive benchmarks, cloud choices, security compliance, and mentor senior engineers while guiding multi-year, company-wide adoption.

The Associate Principal SDET will lead the development of automation frameworks, driving AI-powered testing strategies and ensuring software quality across platforms while mentoring global teams.

Drive enterprise sales for Saviynt's identity and cloud security platform across Michigan. Own full sales cycle: prospecting, discovery, demos, RFPs, evaluations and POCs. Build pipeline via partners and outbound, meet revenue targets, maintain SFDC records, collaborate with SE and product teams, and support sales and marketing events.

Design, build, and operate shared, reusable platform infrastructure and services (Kubernetes, CI/CD, messaging, databases, service mesh) across multi-cloud, multi-region environments. Develop automation, observability, and APIs; support internal teams and participate in on-call rotations to ensure reliability, scalability, and performance.

The Senior Solutions Engineer collaborates with sales teams to deliver technical presentations, assess customer needs, and provide identity security solutions. Responsibilities include mentoring others, resolving queries, and driving opportunities to closure while managing domestic travel.

The Principal Software Engineer leads the architectural design of a data platform, ensuring isolated and compliant data flows, overseeing AI data lakes, batch and streaming pipelines, and developing service APIs.

The Sales Development Representative will identify sales opportunities through outbound prospecting and inbound leads, setting up appointments for the enterprise sales team while collaborating with team members to drive the sales cycle.

Design, build, and operate cloud and distributed Edge infrastructure and deployment automation. Implement CI/CD, release orchestration, observability, secrets and certificate management, and resilient architectures. Integrate AI-assisted engineering and support AI-native, agentic workloads while ensuring scalability, reliability, security, and disaster recovery.

Design and build native endpoint agents for Windows, macOS, and Linux to enforce privileged endpoint device management, collect local telemetry, detect unauthorized or agentic workloads, secure agent-backend communication, and optimize performance. Lead architecture, mentor engineers, and apply AI-assisted development and AI SDLC practices to discover and govern AI agents on enterprise endpoints.

Architect and build a scalable AI Security platform: develop Go microservices for Cloud Control Plane and distributed Edge Backends, design resilient policy sync, discovery and access-brokering services, ensure high availability and observability, and provide technical leadership and mentoring.