Teams at SailPoint

Build and maintain dbt data models, SQL transformations, ingestion pipelines, orchestration, and Tableau dashboards in support of HR and enterprise analytics. Own data quality, metric standardization, privacy controls, Row-Level Security, documentation, CI/CD, and troubleshooting from source systems through reporting. Partner with stakeholders to define requirements and KPIs, support workforce forecasting, optimize BigQuery performance, and pilot AI-assisted analytics using Google Gemini.

Leads architecture and development of SailPoint’s large-scale, multi-tenant identity security SaaS platform. Translates business strategy into technical roadmaps, designs reliable microservices and infrastructure, drives modernization from monoliths to distributed systems, mentors engineers, reviews designs, delivers code, and communicates technology strategy to executives and stakeholders. The role also requires adoption and oversight of AI-assisted engineering tools and technologies.

Design, operate, and scale SailPoint’s AWS-based Kubernetes infrastructure and service mesh for a global, mission-critical SaaS platform. Responsibilities include cluster architecture, networking, security, GitOps, CI/CD, observability, capacity planning, incident response, compliance, and platform standards. The role influences engineering teams globally, participates in 24x7 on-call support, leads service mesh strategy, and improves reliability, performance, deployment efficiency, and operational practices.