Top Backend Engineer Jobs in Austin, TX

The Backend Engineer III will develop the NG-SIEM Global Serverless Platform, focusing on high availability, scalability, and system efficiency while collaborating with a distributed team.

As a Backend Engineer, you'll improve Git and Gitaly by contributing features, bug fixes, and performance improvements, collaborating with the open source community, and participating in architectural discussions.

Design, build, and maintain backend services powering Clerkie's platform. Improve reliability, performance, scalability, observability, and support feature development. Participate in technical design, cross-functional collaboration, documentation, and own projects end-to-end in a fast-moving startup environment.

As a Staff Backend Engineer, you'll design and operate backend services, lead technical initiatives, ensure reliability, and mentor team members in a remote-first setup.

As a Staff Engineer for Revenue, you'll shape technical vision and architecture for billing and pricing systems, ensuring correctness while enhancing cross-team collaboration.

The Staff Backend Software Engineer will lead backend architecture and development, work with Product Managers, design APIs, and mentor junior engineers, focusing on AI integration and operational excellence.

Design, build, and maintain backend web services and APIs for GM's web products. Lead architecture, mentor engineers, implement microservices, automate testing and CI/CD, optimize performance, and work with cloud, edge/CDN, and CMS systems.

Design, build, and operate scalable backend services, data pipelines, and distributed systems on AWS. Improve content quality with AI/automation, optimize CI/CD and developer tooling, mentor engineers, and collaborate with product and design to deliver reliable, data-driven features that power Realtor.com.

Design, build, operate, and own scalable backend services and APIs for internal and customer-facing applications. Improve performance, observability, security, and reliability; lead architecture and API standards; troubleshoot production issues; support CI/CD and automation; mentor engineers and drive backend best practices across teams.

The role involves developing and implementing cloud-native microservices for a Next-Gen SIEM platform, focusing on threat detection and processing vast datasets. Responsibilities include technical decision-making, mentoring junior engineers, and ensuring software engineering best practices.

As a Junior Backend Developer, you'll translate UI/UX designs into code, integrate with APIs, and utilize AI tools for efficiency.

Design, build, and maintain scalable backend services and APIs for commerce workflows using Python/Django. Improve reliability, performance, and observability, operate AWS deployments, work with PostgreSQL and event-driven architectures (SNS/SQS), modernize legacy systems, and support CI/CD, testing, and production troubleshooting.

Design, develop, and maintain high-performance, scalable backend services and RESTful APIs. Participate across the full software development lifecycle, ship features quickly, collaborate with small teams, integrate third-party APIs, ensure test coverage and CI/CD, and monitor applications in AWS.

Senior backend-leaning full-stack engineer to design, build, and ship Rails + Hotwire features end-to-end. Own data modeling, PostgreSQL schema and performance, background job architecture, APIs, and scalability. Collaborate cross-functionally, conduct code reviews, and drive engineering best practices.

You will tackle AI challenges, develop scalable software and collaborate with teams to enhance healthcare navigation using AI solutions.

The Backend Engineer will develop and maintain scalable backend services and APIs for an AI-driven logistics platform while ensuring system reliability, performance, and security. Responsibilities include designing architecture, implementing data pipelines, collaborating with teams, and mentoring new members. The role requires proficiency in backend languages and cloud infrastructure.

Design, build, test, and maintain backend services and APIs powering the insurance platform. Integrate payments, documents, and data providers, improve system stability, performance, and scalability, mentor team members, and participate in architectural decisions and agile ceremonies.

The Senior Backend Engineer will design, build, and scale AI-driven operations, manage the product lifecycle, and implement AI technologies while ensuring data security and system performance.

As a Senior Backend Engineer at DuckDuckGo, you'll lead backend projects, mentor engineers, and develop AI-enhanced features for the company's privacy-centric product line.

Design and implement secure, scalable backend services for voice agents, integrate AI models and telephony, improve inference, debug concurrent systems, and collaborate with Product to deliver features end-to-end.

Build production-grade backend services and serverless APIs for contact center systems. Implement integrations, observability pipelines, AI-enabled workflows, migration tooling, and reusable platform patterns to improve routing, agent support, reliability, and operational visibility.

Technical lead for public-facing gRPC APIs and SDKs powering provider search, ranking, and dynamic copay lookups. Own API design, versioning, ranking/steerage logic, and reliability at scale. Write and review code and designs, mentor engineers, drive technical direction, partner with product and partner engineering, and support production operations and scaling decisions.

Design, build, and maintain backend services and APIs using Ruby on Rails. Improve performance, scalability, reliability, and write well-tested production code. Collaborate with Product, Frontend, Data Engineering, and QA teams.

Design and implement scalable backend services for payment and transaction workflows using Java. Own end-to-end features from data model and APIs to Angular frontends, improve reliability and performance, refactor legacy systems, troubleshoot production issues, and collaborate with product and design. Leverage AI-assisted development tools responsibly and share best practices across the team.

Design, build, and scale highly available backend services for a data-intensive SaaS platform. Solve infrastructure problems, improve CI/CD and DevOps tooling, drive architectural decisions, run post-mortems, recommend technologies, and champion continuous improvement and observability.