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Revefi

Automated data operations and observability platform

Senior Backend Engineer

Backend EngineeringConfirmed live in the last 24 hours
Full-timeSeattle, WA, USAHybrid

About the Job

Requirements

  • Three to nine years of backend development experience in Java, C++, Golang, or a similar language.
  • Strong understanding of systems design, distributed computing, and cloud architectures.
  • Experience building production-grade software in fast-paced environments.
  • Problem-solving and debugging skills across the stack.
  • High level of ownership, self-direction, and attention to detail.
  • Communication skills and comfort working in cross-functional teams.

Responsibilities

  • Design and implement scalable, reliable backend services that power the SaaS platform.
  • Own core architecture components, including distributed systems and 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.

Desired Qualifications

  • Experience with cloud data warehouses such as Snowflake, Databricks, or BigQuery.
  • Hands-on experience with AWS, GCP, or Azure.
  • Familiarity with containers such as Docker and orchestration tools such as Kubernetes.
  • Experience working with SQL and NoSQL databases.
  • Exposure to building SaaS platforms and working with large-scale datasets.
  • Contributions to open-source projects or active involvement in developer communities.

About the Company

Revefi

Automated data operations and observability platform

Revefi provides a data operations and observability platform for cloud enterprises, helping organizations manage data quality, spending, performance, and usage with minimal manual effort. It integrates with Snowflake, BigQuery, and Redshift and connects to BI tools like Tableau and ThoughtSpot, as well as Slack and Teams for workflow collaboration. The platform offers a zero-touch onboarding and real-time dashboards with automated recommendations to optimize costs and performance, focusing on end-to-end data lifecycle management. The goal is to help enterprises access the right data at the right time and cost, while reducing cloud data spend and improving data quality.

Company size
11-50
Company stage
Series A
Total funding
$30.5M
Headquarters
Redmond, WA
Founded
2021

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