Top Tech Jobs & Startup Jobs in Austin, TX

Lead platforms engineering for scalable cloud infrastructure: design and implement Kubernetes-based systems, optimize data pipelines with AI, refactor stateful services to be stateless, improve autoscaling and reliability, own data ingestion/export, build internal developer tools, enforce security and testing standards, mentor engineers, and participate in on-call rotations.

Serve as a technical partner between Customer Success and Engineering to resolve complex enterprise escalations, debug live production systems, perform root cause analysis, build scripts and diagnostic tools for self-service, and participate in a rotating on-call schedule to ensure fast, expert client resolution.

Own end-to-end training relationships for large legal accounts: assess needs, design account-specific curricula, deliver live/asynchronous training, maintain client portals, produce analytics reports, and surface product feedback to internal teams to drive retention and expansion.

Lead design and delivery of AI workflow training for internal teams and external legal clients. Build and update curriculum and recorded modules, tailor enablement for varied legal roles, collaborate with product and engineering, and recommend targeted interventions to improve client AI adoption.

Lead design and operation of Syllo Academy: architect the LMS and learner experience, administer the LMS, set curriculum standards, produce multimedia training, develop and score certification exams, own learning analytics and reporting, manage content production pipeline, and iterate via testing and feedback.

Develop, maintain, and deliver eDiscovery curriculum and enablement for internal teams and clients. Lead live and recorded training, tailor content to user personas, update materials with product changes, collaborate with instructional designers and product/engineering, and identify adoption gaps to recommend targeted interventions.

Own and scale the search, indexing, and data-scanning infrastructure for petabyte-scale data. Optimize hybrid lexical and vector retrieval for sub-second latency, design cost-effective hot/warm/cold data tiering and massive asynchronous scans, drive down latency and cost, and provide technical leadership for resilient, highly available indexing and retrieval systems.