Top Engineering Jobs in Austin, TX

As a Senior Systems Configurator, you will design, configure, and support SAP solutions, optimizing business operations and ensuring compliance while collaborating with cross-functional teams.

Build and operate production network software for GM’s secure hybrid AV infrastructure. Responsibilities include developing Go and Python services, APIs, controllers, network automation, Infrastructure as Code, CI/CD workflows, observability, and SRE capabilities. The role designs scalable GCP and on-premises connectivity, supports high-throughput data ingestion, improves security and reliability, participates in on-call and incident response, and provides technical leadership and mentorship.

Leads and grows a full-stack engineering team building GM’s commercial eCommerce platform. Owns the technical roadmap, architecture, system design, code reviews, incident resolution, and end-to-end software delivery across catalog, billing, payments, and monetization services. Partners with Product, Design, Business, and Sales stakeholders while ensuring fault tolerance, financial data integrity, compliance, operational excellence, and production reliability.

Leads software development teams building GM Loyalty web and mobile platforms. Sets technical direction, manages roadmaps and delivery, coaches engineers, guides architecture, and ensures software quality, security, reliability, scalability, and compliance. Oversees integrations, cloud modernization, performance tuning, production deployments, incident resolution, and post-launch support while collaborating cross-functionally and promoting automation and AI adoption.

Design, develop, and architect scalable Golang software supporting enterprise data architecture. Lead technical design, collaborate across teams, mentor engineers, solve complex technical problems, and contribute to Agile delivery practices. Ensure software quality through code reviews, automated testing, CI/CD, and operational support while shaping technical roadmaps and architectural direction.

Build and operate full-stack vehicle software integrity systems using Next.js and Go. Develop data visualizations and dashboards, extend shared component libraries, collaborate with product and design teams, and ensure code quality through testing, reviews, debugging, and performance analysis. The role requires technical ownership, architectural decision-making, cross-functional communication, mentoring, and effective delivery amid changing priorities.

Lead full-lifecycle software development integrating robots and plant-floor devices with manufacturing data systems. Build, maintain, debug, optimize, and secure production applications using C++, Java, Azure, ROS, testing, CI/CD, and agile practices. Collaborate with manufacturing, controls, OT/IT, and data teams; support on-call operations, resolve urgent production issues, mentor developers, and conduct code reviews.

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.