Director, Software Development Engineering

Envestnet is a WealthTech company providing technology, insights, and support for wealth management professionals. The Director, Software Development Engineering will lead engineering organizations and oversee the strategy, architecture, delivery, modernization, compliance, and operational performance of scalable cloud-based platforms and software systems.

Responsibilities:

• Provides leadership and oversight to the Software Development Engineering group. Oversees team efforts to build 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
• Defines engineering strategy and execution model for a major domain (e.g., data platforms, APIs, advisor tools)
• Owns end-to-end delivery outcomes across multiple teams, including roadmap execution and customer impact
• Translates business objectives into multi-quarter engineering plans and measurable outcomes
• Establishes domain-level architecture direction in partnership with senior technical leaders
• Drives regulatory compliance and data governance within the domain (e.g., financial data integrity, auditability)
• Manages budget, headcount planning, and organizational design for the function
• Implements performance frameworks using KPIs (availability, latency, cost efficiency, quality trends)
• Influences prioritization and trade-offs across engineering, product, and business stakeholders
• Builds leadership bench strength through structured succession planning
• Leads engineering organizations responsible for cloud platforms, shared services, developer enablement capabilities, reliability engineering practices, and modern software delivery frameworks that support scalable product development
• Drives organizational transformation initiatives, including platform modernization, cloud adoption, and platform consolidation efforts to improve engineering efficiency and business outcomes
• Champions the adoption of AI-enabled engineering workflows and agentic coding practices to increase developer productivity, improve software quality, and accelerate delivery across the software development lifecycle

Requirements:

• Candidates should demonstrate the relevant experience, skills, and capabilities needed to successfully perform in the role. Relevant experience may be gained through current responsibilities, prior roles, project work, leadership opportunities, or other comparable experiences
• Experience driving adoption of agentic coding practices or AI-enabled engineering workflows to improve productivity, quality, and time-to-delivery across the SDLC
• Experience establishing domain-level architecture direction in partnership with senior technical leaders, including platform modernization, cloud migration, or platform consolidation initiatives
• Experience driving regulatory compliance, data governance, security, and quality practices within an engineering domain
• Experience establishing and managing engineering KPIs, including availability, latency, cost efficiency, quality trends, delivery predictability, and customer impact
• Experience managing budget, headcount planning, organizational design, hiring strategy, performance management, and succession planning for engineering teams
• Strong stakeholder management skills with the ability to influence prioritization and trade-offs across engineering, product, and business leaders
• Experience building leadership bench strength and inspiring high-performing teams through structured coaching, development, and accountability
• Strong technical background with .NET, xUnit, Reqnroll, RESTful APIs, and API management solutions such as Apigee
• Experience with PostgreSQL, SQL Server, Redis, and ElastiCache
• Experience with AWS services including EC2, S3, ELB, ASG, API Gateway, Lambda, RDS, EKS, CloudWatch, SQS
• Experience with Kubernetes, Docker, Kafka, CloudFormation, CDK, Terraform, DevOps practices, automation, agile delivery, Scrum, and test-driven development