Full-Stack Engineer, Human Agent Tooling
Chime👥 10,000+ employees🏢 Financial Services
As a Full-Stack Engineer on the Human Agent Tooling team, you'll develop tools that empower support agents to resolve member issues efficiently and effectively.
Full Stack Engineer - Internal Audit
🕒 yesterday
Full Stack DevelopmentData ScienceAdvanced AnalyticsMachine Learning
📜 Description
- Develop end-to-end applications that automate control testing and risk monitoring.
- Leverage data science and advanced analytics for data-driven audit execution.
- Build and maintain internal tools and dashboards to address internal risk challenges.
- Integrate machine learning pipelines to analyze datasets for anomalies and compliance deviations.
- Create high availability microservices for real-time risk insights.
- Collaborate with Data Engineers to ensure actionable telemetry for audits.
🛠️ Requirements
- Bachelor’s or master’s degree in computer science, Software Engineering, or equivalent experience.
- 5+ years of full stack software engineering experience with proven industry experience in a large-scale environment (high-throughput, distributed systems & globally distributed teams).
- A genuine interest in technology risk management, internal audit methodologies, or engineering compliance frameworks.
- Strong experience in application development using backend languages like Python, Go, or Node.js and modern frontend frameworks like React or TypeScript.
- Deep understanding of SQL/NoSQL databases, API design (REST/GraphQL), and distributed systems.
- Hands-on experience with cloud-native architectures. Experience with Cloudflare Workers, AWS, or GCP is highly preferred.
- Familiarity with data engineering pipelines (ETL/ELT) and leveraging LLMs/ML for automated data analysis.
- Familiarity with technology risk management, internal audit methodologies, or engineering compliance frameworks is preferred.
- Ability to explain complex technical risks to non-technical stakeholders and translate audit requirements into elegant code
Similar jobs
Search more Full Stack Engineer jobs
Machine Learning Engineer, Lyft Business & Ads
Lyft👥 10,000+ employees🏢 Transportation
As a Machine Learning Engineer at Lyft, you will design, build, and deploy ML systems that impact pricing, fraud detection, and agentic AI solutions across Lyft Business.
As a Machine Learning Engineer on the Fulfillment team at Lyft, you will design, develop, and deploy advanced machine learning systems to enhance ride-sharing operations.
As a Machine Learning Engineer on the Fulfillment team at Lyft, you will design, develop, and deploy advanced machine learning systems to enhance ride-sharing efficiency and performance.
📍 🇺🇸 San Francisco - Hybrid💰 $140.8k - $176k / year💼 Full-Time🎹 Mid-level🗣️ Machine Learning Engineer
Join Lyft as a Machine Learning Engineer to develop and maintain systems for estimating ETAs, ensuring low latency and high accuracy for an enhanced user experience.