Top Tech Jobs & Startup Jobs in Austin, TX

Designs, engineers, and operates network security solutions including Palo Alto, Cisco FTD, Fortinet, Radware, Cisco ISE, firewalls, DDoS appliances, VPN, NAC, and cloud-native AWS firewalls. Develops automation using Python or Perl and APIs, troubleshoots complex security issues, hardens platforms, manages firewall requests and logging, and maintains security standards and documentation. The role requires collaboration, technical communication, and up to 10% travel.

Leads architecture, design, development, and delivery of scalable enterprise applications and microservices. Drives AWS cloud-native initiatives, CI/CD automation, secure engineering practices, performance tuning, production support, and SDLC leadership. Partners with business and technology stakeholders, conducts code reviews, translates requirements into technical solutions, and mentors development teams. Uses AI-assisted development tools to improve productivity and delivery.

Prospect financial advisors through cold calls, email campaigns, and LinkedIn outreach to generate qualified leads for LPL’s Advisor Recruiting team. The role requires executing weekly campaigns, qualifying prospects, presenting opportunities to recruiting leaders, tracking KPIs and funnel impact in Salesforce, and consistently achieving high outreach and sales targets. It also involves collaborating with internal and field recruiters, building rapport by phone, and developing financial services and sales expertise.

Leads the enterprise AI governance program, overseeing AI risk assessments, controls, policies, regulatory alignment, committee governance, and executive reporting. Partners with cybersecurity, privacy, legal, compliance, technology, and business teams to enable responsible AI adoption, strengthen governance processes, document risk decisions, and mature the operating model. The role also leads and mentors teams while serving as a credible challenge partner across the organization.

Drive Financial Advisor lead flow through phone-based prospecting, cold-calling (100 outreaches/day), email and social outreach. Qualify leads, present to regional directors, track KPIs in Salesforce, execute targeted campaigns, and develop skills for advancement to Internal Regional Director.

Leads the enterprise Kong API platform, API modernization, and migration strategy. Oversees platform engineering teams responsible for API gateways, developer portals, security, observability, reliability, and cloud-native services. Drives DevSecOps, CI/CD, infrastructure automation, SRE, governance, and developer self-service. Partners with architecture, security, infrastructure, product, and application teams on technology strategy, compliance, and enterprise transformation while managing engineering leaders and distributed teams.

Leads LPL’s globally distributed AWS Support organization within the Cloud Center of Excellence. Owns 24x7 Tier 1 and Tier 2 cloud operations, ticket triage, IAM and access fulfillment, runbooks, change windows, major incident command, automation, and Terraform-based self-service. Manages engineering staff, contributes hands-on to cloud infrastructure and incident response, embeds AI capabilities into support workflows, and partners with security, networking, monitoring, platforms, and delivery teams to improve reliability, governance, and developer experience.

Lead advisor adoption and execution of insurance solutions across the East Coast by delivering training, developing playbooks, coordinating with BGA and carrier partners, supporting the sales lifecycle, and driving cross-functional alignment to increase advisor utilization and conversion.

Build reusable SDKs, tools, templates, sample applications, and reference implementations that help engineering teams develop, test, deploy, and adopt AI solutions. Create documentation and onboarding resources, support AI use cases such as assistants, summarization, RAG, and agent workflows, and partner with engineering and product teams to improve developer experience, scalability, reliability, and adoption.

Owns the strategy, roadmap, delivery, adoption, and performance of an enterprise AI platform. Responsibilities include managing AI asset registries; enabling registration, testing, certification, monitoring, and retirement; overseeing runtime controls, data permissions, evaluation, observability, incident recovery, audit evidence, cost tracking, and FinOps reporting. Partners with engineering, cybersecurity, risk, compliance, privacy, legal, records management, supervision, data, and product teams to support responsible AI innovation.