Top Remote Senior Level Software Engineer Jobs in Salt Lake City, UT

The Senior Software Developer will lead and mentor Intermediate developers, oversee software modifications, test systems, analyze and design software requirements, deploy solutions, and maintain system documentation.

As a Senior Distributed Systems Engineer at Tenderly, you'll innovate and enhance blockchain infrastructure, focusing on orchestration systems and custom storage engines. You'll lead projects from conception to completion, tackle complex distributed systems issues, optimize code for efficiency, and foster innovation by integrating new features.

The Lead Full-Stack Engineer and Client Partner at ShakaCode will manage client relationships while leading technical projects, ensuring quality deliverables using Ruby on Rails and React. The role involves mentoring engineers, understanding client business models, and driving project success through effective communication and optimization of infrastructure.

The Senior Smart Contract Engineer will develop and optimize smart contracts for Real World Asset tokenization, collaborating with cross-functional teams to ensure alignment with regulatory standards and tackling complex challenges in asset tokenization and DeFi interoperability.

As a Computational Geometry Senior Software Engineer, you will develop software to automate composite part design and manufacturing processes, create algorithms for CNC toolpath planning, convert CAD models into different formats, implement feature detection for 3D models, and identify automation opportunities in workflows.

As a Senior Data Engineer at Bluesight, you will design and maintain robust data architectures, facilitate effective data stewardship, and develop customer-facing data products. You'll work closely with engineering teams, product owners, and external clients to create and enhance data pipelines and governance practices, ensuring optimal purchasing decisions for hospital buyers.

The Senior Data Architect will collaborate with teams to improve product performance, stabilize systems, and develop a robust data architecture. Responsibilities include reverse engineering for performance tuning, managing large datasets, and designing effective data pipelines and infrastructures.