Top Remote C++ Jobs in San Antonio, TX

As a Blockchain Rust Engineer at Trust Wallet, you'll enhance the Wallet Core library by integrating new blockchains and features, migrating C++ code to Rust, and ensuring code quality through testing. You'll work in an autonomous team and help improve the user experience for developers integrating blockchain technologies.

Design and implement interfaces and features for customers, improving product performance and reliability, managing the entire product development lifecycle, and building internal tools to enhance productivity. Must independently own projects from conception to release.

As a Senior DevOps/WebOps Engineer, you'll build and support infrastructure to scale services for over 100 million users, ensuring high availability and security of web services while automating deployment and management processes. You'll collaborate with teams, optimize operations, and manage production environments.

The Systems Engineering Manager at ChampionX will oversee lifecycle management of Digital Technologies products, lead a multidisciplinary Engineering Team, and drive product innovations. Responsibilities include managing project-related activities, developing policies and standards, and ensuring compliance with industry standards.

The Unreal Programmer will implement game features in Unreal Engine using C++ and blueprints. Responsibilities include collaborating with designers and artists, coordinating with the engineering team to deliver and prioritize features, and maintaining efficient game code. Familiarity with other engines and development tools is beneficial.

The Contract Generalist Programmer will collaborate with designers and artists to design, develop, and optimize gameplay mechanics, contribute to game system planning, and deliver high-quality code that aligns with project requirements and timelines.

The Backend Engineer will design prototypes, analyze trade-offs, and implement research in ML and blockchain. Responsibilities include iterating on production-grade solutions, reviewing code, and deploying decentralized systems. Collaboration with product and research teams is crucial for developing AI-native applications.