Tech Lead building authentication, fraud protection, and access platforms for Reap’s global stablecoin fintech. Owning AWS architecture, security, reliability, and platform adoption.
About the role
- Senior Software Developer building secure, scalable AI-enabled financial intelligence systems at MindBridge. Owning data pipelines, enterprise integrations, analytics, and cloud platform capabilities.
Responsibilities
- Own technical delivery and subsystem-level design for initiatives spanning services, data pipelines, APIs, analytical workloads, AI/agent services, and cloud infrastructure
- Help shape standards and technical decisions affecting multiple teams within broader architectural strategy
- Decompose requirements, drive design and implementation, mentor engineers, and improve production operations
- Partner with Product, Data Science, UX/Design, Security, Infrastructure, Implementation/Professional Services, Customer Success, and other customer-facing teams
- Lead technical design and delivery of large, cross-functional initiatives
- Design and evolve scalable, secure, maintainable systems for high-volume financial data ingestion and analysis, workflow orchestration, AI/agent capabilities, and enterprise integrations
- Build and extend platform capabilities supporting AI/agent configuration, insight generation, explanation agents, and orchestration patterns
- Identify technical risks, bottlenecks, reliability gaps, and architectural opportunities; recommend improvements
- Contribute hands-on through design, code review, critical-path development, debugging, and production readiness
- Improve engineering excellence through design reviews, coding standards, documentation, testing, observability, incident response, and operational discipline
- Work through production incidents, root cause analysis, remediation, and long-term reliability improvements
- Evaluate technologies and practices that improve product quality, analytical performance, developer productivity, and operational resilience
- Contribute to platform standards for API design, data modeling, asynchronous processing, CI/CD, security, and observability
Requirements
- 5+ years of professional software engineering experience
- Significant experience building and operating enterprise SaaS, data-intensive, or large-scale distributed systems
- Experience implementing ambiguous team initiatives, influencing without formal authority, and owning outcomes across multiple subsystems or architectural layers
- Strong experience designing secure, reliable, multi-tenant SaaS systems with attention to data isolation, access control, auditability, scalability, and operational supportability
- Hands-on experience with data-intensive systems, including ingestion pipelines, ETL/ELT, batch or streaming processing, analytical workflows, data validation, and warehouse/lakehouse integrations
- Strong fundamentals in API design, service integration, data modeling, performance optimization, asynchronous processing, and distributed systems trade-offs
- Working knowledge of production AI/ML systems, prompt orchestration, RAG, or agent workflow patterns
- Experience with relational and/or analytical database technologies
- Working knowledge of cloud-native engineering practices, cloud platforms, containerized workloads, CI/CD, infrastructure automation, observability, and production operations
- Ability to collaborate effectively with Product, Data Science, UX/Design, Security, Infrastructure, Customer Success, and other stakeholders
- Strong written and verbal communication skills
- Experience working in Agile, cross-functional engineering environments
- Must fulfill requirements necessary to obtain and clear a full background check
- Preferred: experience in fintech, audit, accounting, risk, compliance, or regulated/high-trust enterprise environments
- Preferred: proficiency with Java/Spring Boot, Python, or comparable backend/data engineering frameworks
- Preferred: experience with Azure, Microsoft Data Factory, Microsoft Fabric, Power BI, Databricks, Snowflake, lakehouse architectures, Apache Iceberg, Delta Lake, Infrastructure as Code, Kubernetes, observability platforms, SRE practices, incident management, React, customer-facing APIs, SDKs, developer tooling, or enterprise integration platforms
Benefits
- May be eligible for bonus awards
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