Builds and owns end-to-end features for compliance orchestration platform, including backend APIs, microservices, data pipelines, and vendor integrations. Requires 2-4 years experience in backend development, cloud platforms, and databases; onsite in San Jose.
200k – 250k/yr
On-site2+ YOEBackend Engineering
About the role
What You'll Do
Build & Own Features End-to-End
Design, develop, and ship production features across our platform stack (backend APIs, data pipelines, integrations, case management UI)
Own complete features from requirements gathering → implementation → deployment → monitoring
Build scalable REST APIs and microservices that orchestrate checks across 80+ compliance vendors (identity verification, sanctions screening, document analysis)
Develop case management workflows and business logic for KYB/AML compliance processes
Create data pipelines for ingesting, transforming, and routing compliance data at scale
Integrate with third-party identity/compliance APIs and handle complex vendor response mapping
Drive Technical Excellence
Write clean, maintainable, well-tested code with comprehensive documentation
Participate in code reviews and contribute to engineering best practices
Debug production issues with urgency; own incident resolution end-to-end
Optimize system performance, reliability, and cost-efficiency
Build monitoring, alerting, and observability into your features
Collaborate
Work cross-functionally with product managers, compliance experts, and customer success teams
Contribute to technical decision-making and architecture discussions
Help shape engineering culture and development workflows as the team scales
What We're Looking For
Must-Have
2-4 years of professional software engineering experience building and shipping production systems
Strong programming fundamentals in at least one modern backend language (Python, Go, Java, Node.js, or similar)
Experience building RESTful APIs, microservices, or distributed systems
Solid understanding of relational databases (PostgreSQL, MySQL) and data modeling
Hands-on experience with cloud platforms (AWS preferred, GCP/Azure acceptable)
Familiarity with Git, CI/CD pipelines, Docker, and modern deployment practices
Proven ability to own features end-to-end — you've taken projects from ambiguous requirements through production launch
Strong debugging and problem-solving skills; comfortable working in unfamiliar codebases
Excellent communication skills and ability to translate business needs into technical solutions
Experience mentoring or supporting junior engineers (formal or informal)
Nice-to-Have
Experience in FinTech, RegTech, payments, or fraud/risk detection domains
Knowledge of compliance workflows (KYC/KYB, AML, sanctions screening, adverse media)
Experience with event-driven architectures and message queues (Kafka, RabbitMQ, AWS SQS)
Familiarity with NoSQL databases (MongoDB, DynamoDB) or search engines (Elasticsearch)
Experience integrating with third-party APIs and managing vendor relationships at scale
Frontend development experience (React, TypeScript) for building internal tools
Background working with ML/AI systems or data-intensive applications
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