Top Software Engineer Jobs in Austin, TX

Design, build, and maintain scalable backend payment services supporting global travel platforms. Develop clean, secure, and maintainable code using Java or Kotlin, integrate relational and NoSQL databases, and improve reliability through observability and automation. Collaborate cross-functionally on high-impact features, apply architectural patterns or GenAI capabilities, and support distributed systems through monitoring, debugging, incident resolution, and root-cause analysis.

Leads delivery of complex software features for desktop utility design tools, translating ambiguous requirements into technical plans and managing performance, correctness, and reliability. Establishes architecture, coding standards, CI/CD and AI-assisted development practices; mentors engineers and leads design and code reviews. Partners with product, QA, delivery, and customers to create reusable solutions, contribute to roadmaps, and represent the team in architecture discussions.

Develop embedded Linux software and device drivers for automotive display systems on high-compute SoC platforms. Responsibilities include display power and configuration features, full software lifecycle participation, hardware-software integration, performance and power optimization, SoC and display bring-up, validation, testing, and production-quality development for automotive and safety-critical systems.

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.

Designs and operates distributed database systems across query execution, transaction processing, durable storage, concurrency, replication, recovery, and upgrades. Responsibilities include improving database performance, building deterministic failure simulations, managing stateful rollouts, participating in on-call response, leading production changes and investigations, and mentoring engineers. The role requires deep systems expertise and experience operating correctness-sensitive stateful services in production.

Lead design and implementation of complex, large-scale payment systems; drive architecture and reliability across distributed services; mentor engineers; integrate AI/ML features; collaborate with cross-functional stakeholders to deliver scalable, maintainable solutions and operational excellence.

Develop and operate full-stack applications, backend services, data pipelines, and distributed systems on AWS. Improve content quality through AI and automation, optimize CI/CD and infrastructure tooling, maintain data integrity, and mentor engineers. Collaborate with product, design, and engineering teams using Agile/Scrum to deliver scalable, user-focused features and reliable content systems.

Develop scalable and reliable backend software, participate in architecture and design reviews, prototype new technologies, and collaborate with product, design, analytics, and engineering teams. The role involves building APIs, backend services, dashboards, data pipelines, and AI-enabled products while applying testing, code review, documentation, and software engineering best practices.

Develop scalable and reliable mobile applications using React Native, collaborate with product and engineering teams, investigate new technologies, participate in design and code reviews, and release, maintain, and support production mobile apps. The role also involves mentoring peers, contributing to technical decisions, iterating on customer-focused features, and applying software engineering best practices including testing and CI/CD.

Develop and maintain scalable, cloud-based search applications and pipelines serving millions of real estate users. Build backend systems with Node.js, Python, TypeScript, and Java; deploy microservices using AWS, Docker, Elasticsearch, and Jenkins CI/CD. Collaborate with product stakeholders in Agile/Scrum teams, optimize developer tooling and infrastructure automation, prototype emerging technologies, and improve application quality, reliability, and delivery speed.

Build and operate high-traffic consumer and partner products across backend services, APIs, frontend applications, infrastructure, and databases. The role owns testing, observability, SLOs, reliability, security, compliance-aware data architecture, incident readiness, and integrations. Engineers independently deliver features, manage dependencies, collaborate cross-functionally, and use AI-assisted development tools. Work may support new construction, mortgage, financial services, rentals, or B2B partnerships.

Build end-to-end software for an automated wire-harness factory: instant quoting, data models for harnesses, production/MES systems, integrations with machines and test equipment, and data pipelines to keep quoting, production, inventory, and procurement in sync. Ship full-stack features, work with production and customers, and own quality and reliability.

Own performance engineering for scalable backend services, APIs, microservices, and distributed systems. Diagnose production bottlenecks, implement optimization strategies, and lead performance, load, and capacity testing. Collaborate with DevOps, SRE, architects, and engineering teams on resilience and scalability. Participate in architecture reviews, develop representative workloads, mentor engineers, and guide technical execution.

Design and implement GPU performance profiling tools focused on AI applications. Build features used by CUDA developers, collaborate with NVIDIA compiler and CUDA driver teams, and influence tool design. The role requires strong C++ software engineering experience, GPU hardware knowledge, and familiarity with performance tools, with preferred expertise in CUDA kernel programming, profiling, and DWARF parsing.

Develop real-time embedded software for electronic defense systems, collaborating with systems, hardware, and test engineers across the software development lifecycle. Responsibilities include software development in Linux, C/C++ and Python programming, integration testing, Agile development, CI/CD, and potentially kernel, driver, containerization, and automated unit testing work. The role supports aircraft protection, radar warning, and electronic attack products.

Build and operate high-traffic consumer and partner products across backend services, APIs, frontend applications, infrastructure, databases, and DevOps. Responsibilities include delivering tested full-stack features, managing observability and reliability, supporting incident readiness, securing sensitive data, integrating third-party systems, adopting AI-assisted development tools, and leading cross-functional delivery. Work may involve real estate, mortgage, rental, marketplace, or financial services products.

Lead backend engineering for a high-performance, data-intensive SaaS platform. Responsibilities include defining technical vision, designing scalable and highly available systems, executing technical projects, participating in architecture decisions, monitoring and optimizing services, improving CI/CD and infrastructure, conducting postmortems, mentoring engineers, documenting practices, and aligning with partner teams.

Develop and scale backend streaming and data infrastructure using Kafka, Flink, AWS, Kubernetes, and related technologies. Break down projects, deliver tested software, collaborate with product and engineering teams, monitor system availability, participate in on-call support, debug code, conduct code reviews, and contribute to team development.

Design, build, and operate Python backend services, APIs, databases, and labeling pipelines for massive autonomous vehicle sensor datasets. Own systems from ingestion through delivery, integrate vendors and internal tools, develop validation and quality monitoring, improve human labeling with ML automation, and collaborate with ML and perception teams. Lead technical design, review code, mentor engineers, and support production reliability through deployment, monitoring, and on-call responsibilities.

Lead full‑stack design, development, and maintenance of scalable financial applications across front-end, back-end, and databases. Build RESTful APIs and microservices, participate in code reviews, troubleshoot production issues, mentor junior developers, and adopt AI/LLM tools and cloud/container platforms to improve delivery and security.

Design, develop, test, deploy, and support scalable backend services, APIs, integrations, and cloud-enabled software for a regulated wealth custody and clearing platform. Collaborate across product, architecture, operations, risk, and compliance; participate in design reviews and Agile delivery; troubleshoot production issues; ensure security, resiliency, observability, data integrity, and operational readiness; and mentor junior engineers.

Develop and ship full-stack, AI-powered applications using Unframe’s platform. Collaborate with product teams, research teams, internal stakeholders, and enterprise customers to tailor solutions, extend platform and UI/UX capabilities, and integrate AI functionality into production. Write clean, tested, maintainable code and own features from concept through deployment.

Leads software engineering and data platform development for metrics and payments observability. Designs scalable batch and real-time data pipelines, APIs, data models, quality frameworks, semantic layers, and Spring Boot services. Ensures production readiness through observability, security, resiliency, incident response, and automation. Partners with stakeholders, reviews code, evaluates vendors, and promotes responsible AI-assisted engineering practices. Requires advanced Python, Java, and SQL skills, distributed data processing, Databricks, Airflow, AWS, and scalable API development.

Build, optimize, and maintain software systems using AI while collaborating across disciplines on healthcare technology. Develop distributed, event-driven systems, learn new languages and frameworks, and protect user privacy through data security and HIPAA-compliant practices. The role works with AWS, Kubernetes, and large-scale medical datasets in a fast-paced, mission-driven environment.

Design, build, and operate scalable backend services and frontend experiences for Expedia’s lodging inventory platform. Responsibilities include system and API design, data modeling, production coding, automated testing, deployment, monitoring, incident response, service integrations, experimentation, performance improvement, and responsible integration of AI/ML capabilities. The role collaborates with product, design, and partner engineering teams to deliver secure, reliable, customer-facing systems.