Lead Software Development Engineer

The team You’ll Join You will join a collaborative engineering team focused on building scalable, data-driven reporting solutions and advancing AI-enabled capabilities for financial services. As a Lead Engineer, you’ll work closely with engineers, product partners, and stakeholders to drive technical decisions, deliver high-impact features, and align solutions to business goals. The team emphasizes modern architectures, AI/ML and LLM-based innovation, and strong engineering practices—leveraging cloud technologies and agentic coding tools to improve reliability, accelerate delivery, and continuously enhance reporting capabilities.

Responsible for building scalable, secure platforms in support of Envestnet business operations, including wealth management, financial data aggregation and advisor-driven technology solutions. Works across cloud-based architectures, integrating complex data sources and APIs to deliver reliable, high-performance systems. Collaborates with product managers, data scientists and compliance stakeholders to meet both business and regulatory requirements.

• Architects and designs systems, services, or platforms with broad impact. • Leads technical decision-making for major features or initiatives. • Breaks down complex problems into scalable and maintainable solutions. • Drives cross-team collaboration and align technical solutions with business goals. • Establishes and enforces best practices in architecture, coding, and deployment. • Mentors engineers across multiple levels and contribute to talent development. • Anticipates technical risks and proactively implement mitigation strategies. • Leads incident response and root cause analysis for critical issues. • Influences roadmap planning through technical insight and feasibility analysis. • Partners with DevOps/SRE to improve system reliability, deployment automation, and observability. • Designs and maintains CI/CD pipelines for owned services, improving deployment speed and safety. • Implements infrastructure-aware design decisions (scalability, failover, resiliency, cost). • Leads the design and delivery of scalable reporting solutions, leveraging Java and/or Python, cloud infrastructure, RESTful APIs, event-driven architectures, and SQL/NoSQL technologies. • Specializes in AI/ML integration, LLM-based capabilities, and AI platform engineering, including the support and enhancement of production AI/ML applications. • Utilizes agentic coding tools and AI-enabled development practices to accelerate feature delivery, improve code quality, and enhance software development lifecycle efficiency. • Partners with business, product, and quality engineering stakeholders to translate complex requirements into robust, maintainable solutions and ensure successful end-to-end delivery.