Top Senior Level Software Engineer Jobs in Pittsburgh, PA

Design, build, and operate reliable backend systems while mentoring engineers, participating in design discussions, and improving system performance.

Responsible for developing and enhancing mobile applications, addressing platform and native bugs, collaborating with teams, and optimizing app performance.

The Senior Engineer will develop and enhance Code Builder, focusing on ASP.NET and Blazor, with responsibilities in building data-driven UIs, nutrition logic implementation, and optimizing a mature codebase.

As a Senior Engineer, you will enhance Code Builder by implementing features, working with complex data models, and collaborating with Principal Engineers to ensure high-quality and maintainable software.

The Sr. MuleSoft Developer will oversee client integration platforms, implementing security and researching integration technologies while maintaining and developing solutions.

Lead the design, development, and deployment of digital identity solutions for state governments, ensuring effective technology implementation and customer success.

As a Senior Forward Deployed Engineer, you will design and develop secure mobile applications for public sector partners, ensuring they meet government standards for privacy and accessibility.

Lead technical strategy and architecture for public sector digital identity solutions, ensuring technical excellence and customer success with hands-on involvement and high-level interactions.

Develop core experiences for bank administrators and customers by writing clean, documented code, creating robust APIs, and integrating with third-party services.

The Core iOS Senior Engineer will lead mobile development projects, troubleshoot issues, and contribute to code reviews, requiring strong experience in Objective-C and mobile software development.

The Software Engineer III/Senior will maintain and evolve billing systems, build event tracking pipelines, manage customer-visible insights, and ensure data integrity for billing related to customer usage.

As a Staff Machine Learning Engineer, you will develop, productionize, and deploy ML models for clinical use, ensuring real-world effectiveness through hands-on coding and infrastructure building.

Build and maintain backend systems while collaborating with Product, Design, and QA teams. Champion best engineering practices and mentor peers.