Lead Platform Engineer, Identity & Access
Own and evolve workforce identity architecture on Okta, automating access lifecycles and building secure, governed integrations while partnering with Security to improve identity risk detection and response.
27 total jobs
4 new jobs this week
Own and evolve workforce identity architecture on Okta, automating access lifecycles and building secure, governed integrations while partnering with Security to improve identity risk detection and response.
Build and operate reliable infrastructure data products—including pipelines, models, and services—to support usage and cost insights, planning, attribution, and budgets while shaping technical direction across teams.
Designs, deploys, and operates systems, virtualization, storage, identity, and security infrastructure for large-scale AI compute clusters, leading production validation, Tier 3 escalation, and reliability improvements.
Own the integration and production readiness of large-scale GPU clusters, from bare-metal provisioning and performance qualification through customer handoff, Tier 3 incident response, and reliability improvements.
Design, build, and scale Sezzle's infrastructure while solving complex challenges related to throughput, latency, and resilience, ensuring operational excellence and automation.
Design, build, and scale Sezzle's infrastructure while tackling complex challenges like throughput, latency, and resilience, ensuring operational excellence and automation.
Design, build, and scale Sezzle's infrastructure while solving complex technical challenges to enhance performance, reliability, and cost efficiency.
Design, build, and scale Sezzle's infrastructure while solving complex technical challenges to enhance performance, reliability, and cost efficiency.
Design, build, and scale Sezzle's infrastructure, focusing on throughput, latency, and resilience while leading complex technical initiatives and operational ownership.
The Principal Infrastructure Engineer will design, build, and scale Sezzle's platform, focusing on critical infrastructure challenges like throughput, latency, and resilience.
Design, build, and scale Sezzle's infrastructure while solving complex technical challenges to enhance performance, reliability, and cost efficiency.
Design, build, and scale Sezzle's infrastructure while solving complex challenges related to throughput, latency, and resilience, ensuring operational excellence and automation.
Design, build, and scale Sezzle's infrastructure while tackling complex challenges like throughput and latency, ensuring reliability and performance as the business grows.
Design, build, and scale Sezzle's infrastructure while solving complex problems related to throughput, latency, and resilience, ensuring operational excellence and automation.
Design, build, and scale Sezzle's infrastructure while solving complex technical challenges to enhance performance, reliability, and cost efficiency.
Leads the design and operation of resilient, multi-region AWS infrastructure for mission-critical payments, automating platform foundations, advancing reliability practices, and enabling engineering teams to deliver securely at scale.
Own technical strategy, architecture, and reliability for multi-region AWS infrastructure powering mission-critical payments, while automating resilience and enabling engineering teams to build and operate dependable systems.
Own the architecture, reliability, and multi-tenant scheduling of production Slurm clusters across GPU infrastructure, integrating Slurm with Kubernetes and supporting enterprise customers through onboarding and escalations.
Own and evolve the cloud platform powering engineering at scale, improving deployment safety, autoscaling, self-service infrastructure, cost visibility, and the performance of Headway’s Python monolith.
Lead the end-to-end development of data centres across Europe, focusing on market entry, site assessment, financing, and stakeholder engagement to ensure project success.
Lead data center projects from concept to energisation, focusing on site selection, power strategy, and ensuring deliverability while managing technical and development risks.
Own and scale reliable AI infrastructure and internal products, building distributed systems, reusable platform APIs, and developer tools while setting engineering standards and partnering across teams.
Own and scale the production AI intelligence layer, from agent orchestration and multi-provider inference to retrieval, evaluation, realtime voice, and customer-facing product features.
Lead the design and implementation of modern cloud infrastructure across Azure and AWS, ensuring security, governance, and operational excellence while mentoring the engineering team.