Top Senior Level Golang Jobs in Dallas, TX

The Senior Golang Engineer will develop and scale a major application, writing code, developing tests, and debugging. They will influence architecture decisions and communicate effectively with team members, while supporting a critical, high-traffic application.

Looking for a talented Senior Backend Engineer with experience in designing and building distributed backend systems. Responsibilities include writing efficient code, optimizing existing infrastructure, and making architectural decisions. Must have knowledge of Golang, Docker, Kubernetes, various databases, monitoring tools, and AWS. Experience in Blockchain systems and a fast-paced startup environment is desired.

As a Full-Stack Engineer, you will design and implement innovative digital products to improve healthcare access. You'll collaborate within a high-performing team, work with backend technologies, deliver features continuously, and engage in healthy production culture, while also presenting your work effectively.

As a Backend Engineer specializing in Developer SDKs at Stripe, you will leverage your expertise in Golang and Node.js to enhance SDKs, streamline API authoring, and support developer interactions. You will also influence API designs and collaborate with teams to ensure efficient release processes while adding support for new language features.

In this role, you will design and develop microservices, focusing on creating scalable and reliable distributed systems and APIs. You'll work with a cloud-native technology stack and ensure the successful delivery of high-quality production services.

Lead the development of core systems for advertising in Mozilla products with a focus on privacy-respecting and values-aligned display advertising. Provide technical leadership, collaborate with multiple teams, and influence roadmaps and execution for sophisticated software projects.

The Principal Engineer will design and maintain data pipeline infrastructure for network analytics, ensuring scalability and performance. Responsibilities include data collection from network devices, processing raw network data, integrating with analytics tools, optimizing pipeline performance, implementing data quality checks, and maintaining monitoring tools. Collaboration with cross-functional teams is essential.