Aiprise
Software Engineer II
San Jose · Mid
Sponsorship not specifiedDetected 146 days ago
TypeScriptPythonJavaGoReactNode.jsDistributed SystemsCode ReviewGitNoSQLPostgreSQLMySQLMongoDBElasticsearchDynamoDBAWSGCPAzureCloud PlatformsDockerKubernetesTerraformCI/CDREST
About the role
- You'll be in the trenches with founders and a fast moving team, turning messy real world compliance problems into clean, reliable systems.
- If you're a hungry engineer who wants real ownership, high impact, and a product that gets used in production every day, you'll love this.
- This is an in-person role based in our San Jose, CA office (5 days/week).
Responsibilities
- 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
- own incident resolution end-to-end
- Optimize system performance, reliability, and cost-efficiency
- Build monitoring, alerting, and observability into your features
- Debug production issues with urgency; own incident resolution end-to-end
- Build mission-critical software that directly fights financial crime and fraud for companies like Meta and leading fintechs
Requirements
- Familiarity with Git, CI/CD pipelines, Docker, and modern deployment practices
- 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
- Background working with ML/AI systems or data-intensive applications
- Kubernetes, Terraform, or infrastructure-as-code experience
- Work with diverse, complex datasets from 200+ countries
Compensation
- Competitive compensation with meaningful equity upside
Benefits
- Competitive compensation with meaningful equity upside
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This listing is sourced directly from Aiprise's careers page and normalized into a canonical job model.