Top Tech Jobs & Startup Jobs in Austin, TX

Found and establish GM Vehicle Autonomy’s centralized SRE practice. Build shared reliability tooling, service catalogs, SLOs, error budgets, readiness automation, standards, and production infrastructure. Partner with service owners to assess criticality, dependencies, failure modes, and operational health. Improve incident response, post-incident practices, on-call sustainability, and toil reduction while driving adoption across infrastructure teams. The role requires strong software engineering and distributed-systems expertise across Linux, networking, Kubernetes, cloud, CI/CD, and observability.

Develop and maintain enterprise data-intensive and AI-enabled applications supporting product development and quality teams. Build optimized SQL transformations, Databricks pipelines, Java/Python backend services, APIs, and cloud-native applications using Kubernetes and Docker. Partner with AI teams to productionize ML and LLM solutions, implement testing, CI/CD, observability, security, and reliability practices, troubleshoot production issues, shape architecture, and mentor engineers.

Leads and develops an engineering team focused on developer productivity and observability for autonomous vehicle software. Defines technical strategy and platform roadmaps, oversees distributed systems architecture, instrumentation, logging, metrics, and tracing, and supports incident response. Partners with AI/ML, firmware, and infrastructure teams to improve reliability. Leads telemetry tools and data pipelines at scale while managing third-party observability vendors, costs, coaching, performance reviews, and career development.

Lead architecture, design, and implementation of scalable MyAccount web and platform capabilities. Drive technical strategy across teams, develop applications and APIs, improve reliability, performance, observability, and security, and ensure robust automated testing. Mentor engineers, influence architectural decisions, connect technical initiatives to business goals, and maintain operational ownership of customer-facing systems.

Develop, maintain, troubleshoot, and modernize critical mainframe enterprise applications using COBOL, PL/I, JCL, DB2, IMS, and z/OS. Responsibilities span requirements analysis, technical design, coding, testing, deployment, production support, incident resolution, integration, batch processing, security, and modernization. The engineer collaborates with architects and stakeholders, supports cloud integration and CI/CD initiatives, applies Agile and DevOps practices, and mentors less-experienced developers while participating in on-call support.

Designs, implements, assesses, and improves cybersecurity and IT controls across cloud, SaaS, identity, infrastructure, and data environments. The role engineers assurance workflows, automation, evidence collection, and continuous monitoring; conducts control assessments; evaluates technical evidence; identifies cyber and IT risks; validates remediation; and delivers executive-ready reporting. It partners with Cybersecurity, IT, Finance, engineering, and business teams to strengthen governance, accountability, and risk-based decision-making.

Build scalable evaluation, introspection, visualization, and metrics tools for autonomous vehicle machine learning models. Develop workflows processing billions of examples and connect offline evaluation with data, training, simulation, and launch decisions. Collaborate with modeling, data, infrastructure, and validation teams to improve model performance, safety, reliability, and development speed. Responsibilities include software design, implementation, maintenance, code reviews, and production tooling across backend, frontend, and data infrastructure.

Design, build, and operate secure, scalable Java and Spring Boot microservices, REST and GraphQL APIs, and event-driven integrations supporting GM mobile experiences. Deploy cloud-native services on Azure, strengthen CI/CD and DevOps automation, and improve observability, reliability, and operational health. Apply AI-enabled engineering practices, TDD, and automated testing. Collaborate across product, architecture, security, and engineering teams while mentoring engineers and contributing to technical documentation and standards.

Lead GM's Software Supply Chain Security function: translate strategy into execution, build and coach a high-performing team, own KPIs, and embed secure-by-design controls across source control, build pipelines, containers, SBOM, third-party software, and developer tooling while partnering with engineering, platform, cloud, procurement, and risk.

The Staff Engineer will define reliability architecture, automate foundational utilities, develop observability tools, ensure environment integrity, and mentor colleagues.