Lead Software Development Engineer

Envestnet is an adaptive WealthTech company that is redefining the future of wealth management. They are seeking a hands-on Lead Software Engineer to lead, design, build, and evolve their premier wealth management fintech product platform, focusing on Java-based distributed systems and the introduction of AI-driven capabilities.

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

Requirements:

• Bachelor's degree in Computer Science or related field required
• 8+ years of backend engineering experience using Java and/or Python, including strong experience with Spring, SQL/NoSQL, and modern distributed systems
• 2+ years designing and delivering production-grade AI/ML systems, including LLM-based applications and agentic workflows (e.g., stateful agents and memory patterns)
• 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
• Experience with event driven architectures (Kafka, async messaging), Cloud infrastructures (AWS, GCP, Azure)
• Master's degree in Computer Science or related field
• Familiarity with AI cost control, evaluation, and governance practices
• Prior experience in trading systems, real‑time financial platforms, or regulated production environments
• Tech Stack: Languages & Frameworks: Java, Spring Boot, Python
• Tech Stack: Data & Systems: SQL, Distributed Systems, Transactional Services
• Tech Stack: Messaging: Kafka, Async Messaging
• Tech Stack: Cloud & Platform: Cloud Infrastructure, Kubernetes, Docker
• Tech Stack: AI & Agents: Agentic AI (LangGraph), RAG, Vector Stores
• Tech Stack: Security & Ops: Security Tooling, Observability & Monitoring Platforms