Shipt
retail tech
StaffEngineer,CyberFraud
“Staff Engineer, Cyber Fraud at Shipt. Skills: backend engineering, API development, fraud prevention, risk assessment systems. architecting a landscape where innovation and security coexist. design and implement complex, scalable risk assessment systems”
What You'll Achieve.
ensure that every customer, shopper, and retailer interaction is seamless and safe; protect Shipt’s bottom line; ensure that fraud and abuse are systematically prevented; protect customer, shopper, and business data from exfiltration by unauthorized parties; prevent material financial losses; ensure that user confidence remains high while our business grows; ensure high code quality, security, and scalability; detect and address realtime fraud and abuse across Shipt’s ecosystem
Industry & Context.
identifying and optimizing inefficient code, database queries, and network requests
What They're Looking For.
Must Have
8 + years of experience in backend engineering, Expert in backend languages such as Golang, Javascript, or Python, Proven expertise in API development and integrations, Extensive experience with version control tools such as Git and GitHub, Strong skills in data storage, retrieval, and analysis using PostgreSQL and Snowflake, Proven experience in working with 3rd party vendor integrations, Experience with messaging frameworks such as Kafka or AWS SNS/SQS, Experience with observability tools such as DataDog, Grafana, and Prometheus, Expert at identifying and optimizing inefficient code, database queries, and network requests, API Development, Back-End Development, Go Programming Language
What You'll Do.
architecting a landscape where innovation and security coexist
design and implement complex
scalable risk assessment systems
act as a strategic lead with cross-functional teams to ensure that fraud and abuse are systematically prevented
and business data from exfiltration
prevent material financial losses
and deploy mission critical APIs and services
ensure high code quality
create low latency integrations that detect and address realtime fraud and abuse
collaborate with cross functional teams
lead architectural design reviews
provide technical mentorship to junior and senior engineers
Work closely with Data Science partners to design and expand upon comprehensive in-house rules engines and ML models
How You'll Work.
Team & Collaboration
strategic lead with cross-functional teams; collaborate with cross functional teams; lead architectural design reviews; provide technical mentorship to junior and senior engineers; Work closely with Data Science partners
Communication Scope
technical mentorship
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