Staff Engineer

Reveleer

6d • Remote

About The Position

The Staff Engineer plays a critical role in shaping how Reveleer builds and scales its products. We are modernizing our stack, expanding distributed development, and increasing our focus on data and AI. This role provides the senior technical leadership and hands on execution needed to support the 2026 roadmap and beyond. This is not an advisory role. We need someone who can design patterns, write code, review code, and actively guide teams. The Staff Engineer leads through building, teaching, and raising the engineering bar across the organization. Reveleer builds value-based care solutions that help health plans and providers collaborate more effectively across quality, risk adjustment, and member engagement. We are investing heavily in modern data practices and AI-driven workflows to scale our products and deliver better outcomes for our customers. As a Staff Engineer, you will directly influence how our platform evolves and play a key role in helping the organization scale. If you are hands on, adaptable, and motivated by driving real product outcomes, we would love to talk.

Requirements

• Deep experience as a hands-on staff level engineer working in distributed systems at scale
• Strong background in cloud native engineering, preferably AWS/Azure, microservices, and SaaS patterns.
• Experience building or supporting data and AI workloads, including ML or LLM integrations
• Demonstrated depth and expertise in designing and implementing robust solutions using C#, .NET, and SQL Server, with a strong understanding of best practices for scalable, secure, and high-performance applications.
• Ability to turn complex technical challenges into clear, actionable solutions
• Strong communication, collaboration, and mentorship skills

Responsibilities

• Design, develop and evolve the core technical patterns that shape how Reveleer builds software
• Write high quality code, prototypes, reference implementations, and reusable components
• Provide hands on technical guidance through pair programming, design reviews, and code reviews as needed
• Lead design for distributed systems, cloud native patterns, API development, and multi-tenant SaaS
• Partner with data and AI teams to integrate applications with pipelines, analytics, and ML or LLM services
• Identify performance bottlenecks, technical risks, and architectural gaps and drive pragmatic solutions
• Work closely with product leadership to ensure the technical foundation accelerates roadmap delivery

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 251-500 employees