Shipt
retail tech
StaffEngineer,CyberFraud
Neural analysis suggests this role is
optimal for Lead candidates.
“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
Full Job Description
# **Impact** The Shipt Cyber Fraud team is responsible for ensuring that as we grow, every customer, shopper, and retailer interaction is seamless and safe. As a Staff Engineer within our Cyber Fraud team, you will not just respond to threats, you will strategically champion the technical health of our anti-fraud product, architecting a landscape where innovation and security coexist, providing the best possible user experience. We are seeking a highly motivated Staff Engineer to be the technical anchor of Shipt’s fraud prevention ecosystem. You will not only lead engineering efforts to design and implement complex, scalable risk assessment systems required to react quickly to protect Shipt’s bottom line, but also act as a strategic lead with cross-functional teams to ensure that fraud and abuse are systematically prevented. This role will directly contribute to the mission of protecting customer, shopper, and business data from exfiltration by unauthorized parties, and prevent material financial losses to ensure that user confidence remains high while our business grows. In this role you will architect, build, and deploy mission critical APIs and services while ensuring high code quality, security, and scalability. You will also create low latency integrations that detect and address realtime fraud and abuse across Shipt’s ecosystem. As a SME for the Cyber Fraud team, you will collaborate with cross functional teams and lead architectural design reviews, providing 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 # ****What You’ll Need to Be Successful**** * **Minimum of 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 dat
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