Top Hybrid Software Engineer Jobs in Austin, TX

Develop scalable, high-performance user interfaces using React, integrating with backend services, and optimizing for performance in data-driven web applications.

The role involves building and maintaining backend infrastructure, developing core products, driving technical delivery, and participating in customer discovery efforts.

Design, develop, and integrate highly available, low-latency cloud backend services and REST APIs for IoT/connected devices. Own software components, implement microservices and event-driven architectures, provide L3 production support, collaborate cross-functionally, and follow best practices including testing and cybersecurity compliance.

Lead design and hands-on implementation of enterprise personalization and experimentation programs using Contentful Personalization. Responsibilities include audience strategy, decisioning, experimentation frameworks, integrations with CDPs/CRMs/analytics, architecture for scalable delivery (SSR/CSR/edge), technical discovery, customer enablement, and cross-functional feedback into Product and Engineering.

The role involves architecting and implementing development frameworks for game features, collaborating with teams, and maintaining implementation schedules.

Design, implement, and support reliable backend components for a high-availability SaaS platform using C#/.NET. Collaborate with engineering leadership, QA, and stakeholders in an Agile TDD/CI-CD environment to translate business needs into scalable software and participate across the full development lifecycle.

Lead subscription and onboarding engineering efforts: be the internal Stripe expert, build API-driven real-time integrations, create systems to speed onboarding, implement A/B tests, partner cross-functionally to optimize first-30-day retention and user activation.

The Data Engineer will architect and build data platforms, manage datawarehouses, support production systems, and collaborate with portfolio managers and developers to meet business needs.

Join Datanamic to work on their integration platform, develop features, support customer integration needs, and participate in AI-driven product design.

As a Senior Data Engineer, you will design ETL pipelines, optimize data infrastructure on Snowflake, and ensure data quality through robust frameworks and testing. Collaboration with stakeholders is key to enhance analytics and improve data-driven decision-making.