Top Tech Jobs & Startup Jobs in Austin, TX

Owns the enterprise control plane and product strategy for agentic technologies, AI platforms, non-human identities, and emerging technologies. Defines identity, authorization, governance, monitoring, auditability, risk, and enforcement capabilities that enable secure AI adoption. Translates security and regulatory requirements into scalable platform features, partners with engineering and control functions, manages roadmaps and operational performance, and communicates control gaps and decisions to senior stakeholders.

Technical leader responsible for integrating, optimizing, and operationalizing enterprise cloud and security platforms. Drive SIEM ingestion, telemetry and logging strategy, detection alignment, automation, interoperability, and resiliency across EDR/XDR, CNAPP, IDS/IPS, DLP, WAF, firewalls, and AI security. Partner with platform teams, build standards, and develop automation using Python, PowerShell, Go, APIs, and IaC.

Lead development and maturation of the Application Security program. Maintain and integrate appsec testing platforms, review and triage scan results, produce metrics, mentor development teams, monitor CVEs, and coordinate with Audit, Governance, and Compliance to improve security posture.

Lead and manage a security engineering team responsible for operating and improving security infrastructure (SIEM, EDR, DLP, vulnerability management, IAM, network security). Oversee tooling implementation, incident response playbooks, threat hunting, vendor management, cross-team security integration, metrics reporting, and mentoring of junior engineers.

Lead full‑stack design, development, and maintenance of scalable financial applications across front-end, back-end, and databases. Build RESTful APIs and microservices, participate in code reviews, troubleshoot production issues, mentor junior developers, and adopt AI/LLM tools and cloud/container platforms to improve delivery and security.

Design and build scalable AI knowledge and retrieval infrastructure (search, vector stores, RAG) including streaming/batch ingestion, indexing, low-latency APIs, LLM integration, observability, and platform services. Lead architecture, mentor engineers, and partner with AI, data, and product teams to enable enterprise AI assistants, copilots, and agent-based systems.

Design, build, and govern an enterprise AI Hub platform including model/agent registries, LLM gateways, data access layers, observability, security, and compliance. Lead POCs, MLOps/LLMOps, platform services, vendor evaluations, and mentor teams to transition siloed AI work into a scalable, governed enterprise AI ecosystem.

Design, engineer, and operate LAN/WAN and hybrid data center (on‑prem and cloud) networking solutions. Lead architecture, migrations, MPLS/DIA/SD‑WAN deployments, DR networking, troubleshooting, mentoring, and participate in on‑call rotation to ensure resilient, secure, scalable network operations.

Lead architecture and technical strategy for the ClientWorks advisor platform. Design cloud-native, secure, scalable solutions across front-end, mobile, APIs, and integrations (Salesforce, Wealthbox). Drive DevSecOps, IaC, CI/CD, incident response, performance optimization, and design system modernization. Mentor teams, align cross-functional stakeholders, and ensure regulatory compliance and measurable business outcomes.

Lead enterprise data architecture for cloud-native data platforms: define strategy, roadmaps, and standards; design lakehouse and multi-region architectures; drive data governance, metadata, lineage, security, and observability; mentor teams and partner with product, engineering, and security to deliver scalable, trusted data products and platforms.