Lead Fintech Backend Engineer: Java + AI

Envestnet

All (MO)

On-site

USD 152,300 - 190,400

Full time

14 days+

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Job summary

Envestnet is seeking a hands-on Lead Software Engineer to design, build, and evolve its premier wealth management platform built on Java-based distributed systems, with a focus on scalable, auditable AI-enabled features in production.

You will lead a cross-functional Scrum team, own architecture decisions, and ensure secure, compliant delivery of services, while mentoring engineers and partnering with product, platform, and risk/compliance teams.

Qualifications

8+ years backend engineering experience using Java and/or Python, including Spring, SQL/NoSQL, and modern distributed systems.
2+ years designing and delivering production‑grade AI/ML systems, including LLM‑based applications and agentic workflows.
Strong background in building distributed, transactional systems in fintech or other regulated domains, with 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, and communicate trade-offs to both technical and non‑technical stakeholders.

Responsibilities

Own technical design, delivery and architecture for mission‑critical fintech services, ensuring scalability, resilience, transactional correctness, and clear service boundaries/data ownership meeting Product requirements.
Lead design and implementation of Java / Spring Boot microservices, establishing engineering standards for performance, observability, reliability, and maintainability.
Drive the safe, compliant adoption of agentic AI/LLM capabilities, including workflow design, evaluation/guardrails, and governance for auditable production use.
Partner cross‑functionally with product, platform, and risk/compliance stakeholders to translate business and regulatory requirements into high‑quality technical solutions and delivery plans.
Provide hands‑on leadership across the SDLC: lead architecture/design reviews, refine requirements and acceptance criteria, and guide execution within an Agile/Scrum team.
Mentor and develop engineers, raising the bar through coaching, code/design reviews, and continuous improvement of modern engineering practices.
Lead releases and production support, including incident response and operational readiness, while ensuring alignment with security, risk, and internal control expectations.