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Senior Backend Engineer - Infrastructure & Fraud Detection

recskills United State
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AI Summary

Lead backend infrastructure development, scale high-transaction systems, and build real-time processing for fraud detection. Collaborate cross-functionally to deliver end-to-end features with urgency.

Key Highlights
Scale infrastructure for high-transaction systems
Develop real-time processing systems for fraud detection
Collaborate closely with engineering and product teams
Key Responsibilities
Ship end-to-end product features with ownership and urgency
Scale infrastructure to support high-transaction systems and millions of users
Develop distributed and real-time systems for fraud/risk detection or similar use cases
Build scalable fundamentals for the product across industries
Technical Skills Required
Distributed Systems Big Data Technologies Streaming Technologies
Benefits & Perks
Competitive compensation with flexibility for exceptional candidates
Generous and meaningful equity package
Relocation assistance may be available
Nice to Have
Knowledge of rate-limiting infrastructure
Experience with Kubernetes or containerized environments
Experience in observability or data visualization products

Job Description


Position Title: Backend Engineer / Infrastructure Engineer (Senior) Location: San Francisco, CA (in-office ~60 hrs/week; hybrid allowed for long commutes) Position Type: Full-Time (Permanent) Work Policy: Primarily in-person; relocation assistance may be available Start Timeline: ASAP – urgent hire Compensation Base Salary: $130,000 – $210,000 (varies by level, performance, and location) Equity: Generous and meaningful equity package Notes: Competitive compensation with flexibility for exceptional candidates Role Summary The Backend Infrastructure Engineer will develop fraud/risk detection infrastructure and scale distributed systems. Responsibilities include building real-time processing systems, shipping end-to-end features with urgency, and expanding platform scalability to handle billions of events and millions of users. Core Responsibilities

  • Ship end-to-end product features with ownership and urgency
  • Scale infrastructure to support high-transaction systems and millions of users
  • Develop distributed and real-time systems for fraud/risk detection or similar use cases
  • Build scalable fundamentals for the product across industries
  • Collaborate closely with engineering and product teams Must-Have Qualifications
  • Expertise in distributed systems and real-time processing
  • Proficiency with big data technologies (Cassandra, DynamoDB, BigTable, or other NoSQL)
  • Experience with streaming technologies (Kafka, Pub/Sub, etc.)
  • Familiarity with scaling vector databases and LLM-based systems
  • Ability to independently own and deliver product features end-to-end Preferred Qualifications
  • Knowledge of rate-limiting infrastructure
  • Experience with Kubernetes or containerized environments
  • Experience in observability or data visualization products
  • Growth-stage startup experience
  • Strong credentials from top companies or top schools Candidate Red Flags Do Not Submit If
  • Consulting-heavy background
  • Primarily contract-based experience
  • Frequent job hopping with short tenures
  • Too much DevOps or internal tools work
  • Former CTOs or long-time managers returning to IC roles
  • Candidates unwilling to relocate to SF if required
  • Experience limited to non-complex projects (internal tools, dashboards, testing)

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