Top Engineering Jobs in Austin, TX

Lead developer experience strategy and delivery across platforms, tools, golden paths, CI/CD workflows, automation, and AI-assisted engineering solutions. Define productivity metrics, improve developer workflows, partner across security and infrastructure teams, influence engineering standards, and mentor engineers. The role requires extensive software development, distributed systems, cloud, infrastructure-as-code, developer platform, security, and modernization experience.

Develop and support OneStream/EPM applications, customizations, integrations, and reusable software components. Translate finance and planning requirements into technical solutions using C# and VB.NET, participate in the full software development lifecycle, troubleshoot production issues, improve performance, and collaborate with finance and technology stakeholders. The role also includes code reviews, documentation, testing, technical guidance, mentoring, and support for enterprise planning and consolidation platforms.

Designs, implements, deploys, and optimizes Java microservices, REST and GraphQL APIs, and WebSocket solutions using Spring Boot and Azure. Manages cloud services including AKS, API Management, Functions, Cosmos DB, SQL Database, and monitoring tools. Develops automated unit, integration, and functional tests using TDD, while improving application performance, scalability, reliability, security, and cost efficiency.

Design, develop, and support cloud-native Java microservices and event-driven integrations connecting vehicles with cloud services. Responsibilities include database optimization, monitoring, production troubleshooting, automated testing, code reviews, documentation, agile collaboration, and technical mentoring. The role requires operating scalable distributed systems with strong reliability, observability, performance, and security practices, along with participation in on-call rotations.

Leads the AV Data Processing and Services team, combining hands-on software engineering with people management. Owns architecture and roadmap for petabyte-scale distributed data pipelines, storage, batch inference, streaming, simulation, cloud infrastructure, observability, reliability, and cost optimization. Recruits and mentors engineers, establishes SLAs, manages incidents, and translates cross-functional requirements into dependable technical deliverables.

Design and maintain scalable Java services, distributed applications, real-time streaming pipelines, GraphQL APIs, and PostgreSQL-based operational data stores. Integrate systems with Databricks and Microsoft Azure, implement CI/CD, troubleshoot complex cloud and data-platform issues, and contribute to architecture, engineering standards, documentation, and mentoring. The role emphasizes event-driven design, resiliency, observability, secure development, and effective use of generative AI tools.

Leads enterprise engineering platforms for embedded software, simulation, and cloud workloads. Designs CI/CD, GitOps, Kubernetes, Terraform, progressive delivery, observability, security, and compliance architectures. Establishes branching, release, quality, and engineering standards across teams while improving productivity, release confidence, and product quality. Mentors DevOps and simulation developers and provides hands-on technical leadership for complex, safety-critical software environments.

Develop and optimize Linux kernel components, device drivers, BSPs, bootloaders, and firmware for automotive embedded platforms. Lead system bring-up, camera and multimedia integration, hardware validation, diagnostics, health monitoring, low-level debugging, and production testing. Collaborate with hardware teams, contribute to upstream Linux development, and improve system reliability, performance, and maintainability.

Design, develop, deploy, and maintain large-scale data platform services supporting autonomous vehicle model training, mining, labeling, and replay. Lead operational excellence through SLOs, SLIs, incident response, and lifecycle management. Partner with ML and data engineers to build self-service capabilities, deliver end-to-end technical projects, and shape the roadmap. Participate in planning, code reviews, interviews, onboarding, and mentoring while optimizing distributed systems for cost, performance, and reliability.

Leads the architecture, implementation, and operational excellence of DevOps, CI/CD, build, release, and developer productivity platforms for next-generation infotainment systems. Designs scalable embedded Linux build pipelines, automates releases, improves observability, builds self-service tooling, and drives cross-functional initiatives. The role mentors engineers, influences technical direction, and advances software delivery reliability and developer velocity across multiple vehicle programs.