Lead Software Engineer

Envestnet

Posted 2mo ago

The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.

Lead, design, build, and evolve Envestnet’s premier wealth management fintech product platform
Introduce AI Agent–driven capabilities in a secure, compliant, and production‑ready manner
Lead a cross-functional Scrum team, assist in Sprint planning, effort estimates, and scheduling
Own technical design, delivery and architecture for mission-critical fintech services
Lead design and implementation of Java / Spring Boot microservices
Establish engineering standards for performance, observability, reliability, and maintainability
Drive the safe, compliant adoption of agentic AI/LLM capabilities
Partner cross-functionally with product, platform, and risk/compliance stakeholders
Provide hands-on leadership across the SDLC
Mentor and develop engineers
Lead releases and production support, including incident response and operational readiness

Bachelor’s degree in Computer Science or related field required
8+ years of backend engineering experience using Java and/or Python
Strong experience with Spring, SQL/NoSQL, and modern distributed systems
2+ years designing and delivering production-grade AI/ML systems
Experience with LLM-based applications and agentic workflows
Strong background in building distributed, transactional systems in fintech or other regulated domains
Deep understanding of data consistency, idempotency, fault tolerance, and scalability
Solid understanding of security, observability, and production incident handling
Demonstrated ability to lead architectural decisions
Define technical standards
Communicate trade-offs to both technical and non-technical stakeholders
Experience with event driven architectures (Kafka, async messaging)
Experience with Cloud infrastructures (AWS, GCP, Azure)
Familiarity with AI cost control, evaluation, and governance practices
Prior experience in trading systems, real‑time financial platforms, or regulated production environments

Skills