Senior Software Engineer - Full Stack
Company: Premier Inc.
Location: Remote (Remote)
Salary: $113,000 - $188,000 a year
Type: Full-time
Remote: Yes
Posted: 2026-03-19
About this role
Senior Software Engineer - Full Stack
What you will be doing:
The Senior Software Engineer (Full Stack) independently designs and delivers complex features across the full technology stack. This role leads frontend and backend development within an agile team, architects scalable REST and GraphQL APIs, and drives cloud-native deployment practices on Azure, GCP, and AWS. The Senior Engineer mentors peers, contributes to engineering standards, and acts as a technical anchor for team-level delivery commitments. Active and proficient use of AI-assisted development tools (GitHub Copilot Enterprise, Claude Code) is a core expectation at this level – both for personal productivity and for modeling best practices within the team.
In addition to traditional full-stack development, this role will operate across modern data and AI platforms, including environments such as Foundry and Databricks, where engineers design and build data-driven and intelligent applications. The Engineer is comfortable working at the intersection of application development, data platforms, and emerging AI capabilities—leveraging large-scale data pipelines, analytics infrastructure, and AI/ML services to power product features and decision-support systems. This includes collaborating on architectures that integrate operational software systems with data platforms and AI-enabled services to deliver scalable, insight-driven, and automation-enabled solutions.
Key Responsibilities
Frontend Architecture – 35%
- Design Architect and implement scalable UI components using React, Angular, or Vue. Optimize performance, ensure accessibility, and integrate design systems.
Backend & Data Engineering – 35%
- Design and implement APIs, microservices, and data models using Node.js, Python, .NET, or Java. Manage relational and NoSQL databases, caching, and message queues. Deploy and manage services on Azure, GCP, or AWS. Integrate with data platforms (Databricks) where the team’s product domain requires it.
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