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Senior Backend Engineer - Seattle, WA

Revefi· Engineering
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Hybrid (Seattle, WA)EngineeringPosted 7mo ago

About the role

Senior Software Engineer focused on designing, building, and scaling the backend of Revefi’s cloud-native SaaS platform. hybrid work in Seattle, WA.

Responsibilities

  • Design and implement scalable, reliable backend services that power our SaaS platform
  • Own core components of our architecture, from distributed systems to cloud-native workflows
  • Write clean, performant, and well-tested code in Java, Python, C++ (or similar languages)
  • Collaborate with product, frontend, and DevOps teams to deliver end-to-end features
  • Build fault-tolerant systems that process and manage large-scale data with low latency
  • Continuously optimize system performance and cost-efficiency in cloud environments
  • Review code, mentor peers, and contribute to engineering best practices
  • Stay current with emerging backend trends, cloud technologies, and developer tooling

Qualifications

  • 3–9 years of backend development experience (Java, C++, Golang or similar)
  • Strong understanding of systems design, distributed computing, and cloud architectures
  • Experience building production-grade software in fast-paced environments
  • Proven problem-solving and debugging skills across the stack
  • High level of ownership, self-direction, and attention to detail
  • Excellent communication skills and comfort working in cross-functional teams
  • Passion for building delightful, scalable products that last

Skills

Required:backend developmentsystems designcollaboration and communication

Benefits

  • Competitive compensation including base salary and equity
  • Medical coverage fully paid by the company
  • Visa sponsorship available (H1B and other work visas)
Last updated Jul 17, 2026. Interested? Apply on the company site.

About Revefi

AI Agent for Data Cost Optimization

Revefi AI Agent for Data Cost Optimization is a Zero-touch, Level 5 autonomous autopilot and copilot for data cost optimization, data quality, data performance, data operations and finops.

Data PlatformsCloud Data PlatformsLLMs and AI AgentsAI AgentsData Cost OptimizationData OperationsData ObservabilityFinOps
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