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RevefiRevefi

Lead Backend Engineer

Leads the architecture and implementation of scalable backend services for a SaaS platform while mentoring engineers and driving reliability, performance, and technical strategy. Requires 8+ years of backend development experience and strong expertise in distributed systems and cloud-native architectures.

About the job

Responsibilities

  • Lead the architecture, design, and implementation of scalable backend services for the SaaS platform.
  • Own technical decisions across distributed systems, cloud-native workflows, and backend infrastructure.
  • Drive performance, reliability, and observability initiatives across core platform components.
  • Guide and mentor a growing team of backend engineers through technical reviews, goal setting, and career growth.
  • Collaborate cross-functionally with product, frontend, and DevOps teams to deliver high-impact features.
  • Make foundational decisions around backend technologies, frameworks, and system design.
  • Establish and enforce best practices in software engineering, testing, and deployment.
  • Participate in hiring, onboarding, and fostering a strong engineering culture.
  • Evaluate new technologies and help set the technical roadmap.

Requirements

  • 8+ years of backend development experience with Java, Golang, C++, or similar languages.
  • Proven expertise designing and scaling distributed systems and cloud-native architectures.
  • Track record of technical leadership, mentorship, and team building.
  • Deep understanding of data structures, networking, system design, and cloud scalability.
  • Strong debugging, problem-solving, and performance optimization skills.
  • Experience in fast-paced, product-first startup environments.
  • Strong communication, collaboration, and ownership skills.

Nice to Have

  • Experience with Snowflake, BigQuery, Databricks, or Redshift.
  • Production experience with AWS, Google Cloud, or Azure.
  • Familiarity with Docker and Kubernetes.
  • Experience with SQL and NoSQL systems.
  • Exposure to SaaS platforms or developer infrastructure.
  • Open-source contributions or engagement in developer communities.

Skills

Java, Go, C++, Distributed Systems, Cloud-Native Architecture, AWS, GCP, Azure, Docker, Kubernetes, SQL, NoSQL, Snowflake, BigQuery, Databricks

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