Reveleer

The End-to-End Platform for Risk Adjustment, Quality Improvement, and Member Management

Staff Engineer

Full-stack EngineerSoftware EngineerFull TimeRemoteTeam 51-200H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

23 days ago

Salary

$180K - $200K / year

Bachelor DegreeEnglishAWSAzureCloudDistributed SystemsMicroservicesSQL.net

Job Description

• Owns and solves some of the most difficult technical problems in the company • Plays a major role in helping Engineering meet commitments by proactively noticing gaps and jumping in where needed • Improves reliability, performance, and delivery speed in visible, measurable ways Helps others get things done • Helps establish a culture of learning by mentoring engineers • Makes other engineers more effective through clear patterns, reviews, and hands on collaboration • Is a go to partner for product and engineering leaders when work is complex or high risk • Brings deep experience across multiple technologies and applies that experience to Reveleer’s platform and products • Initiates and leads key cross cutting projects that move the architecture and codebase forward • Ensures technical decisions align with the company’s roadmap • 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

Job 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

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