Principal Software Engineer, Platform

Envestnet is an adaptive WealthTech company that is redefining the future of wealth management. They are seeking a Principal Software Engineer to help shape and build scalable platform capabilities used across modern engineering teams, focusing on cloud technologies and AI-enabled capabilities.

Responsibilities:

• Defines and drives long-term technical strategy and architecture across multiple systems
• Champions adoption of agentic coding workflows across engineering teams to accelerate delivery velocity and improve quality throughout the SDLC
• Leads large-scale, high-impact initiatives that align with business objectives
• Solves highly complex and ambiguous technical challenges with innovative solutions
• Influences engineering standards, policies, and best practices across the organization
• Acts as a key advisor to senior leadership on technology decisions
• Mentors senior engineers and develops future technical leaders
• Evaluates and adopts new technologies to drive innovation and competitive advantage
• Ensures system scalability, reliability, and performance at enterprise scale

Requirements:

• 10+ years of application, product, or platform engineering experience, including ownership of long-term technical strategy across multiple systems
• Extensive experience defining architecture for scalable, reliable, high-performing enterprise systems and large-scale infrastructure initiatives
• Background in platform engineering, cloud platforms, modern deployment models, reusable services, APIs, and internal developer or product platforms
• Experience influencing engineering standards, technical policies, best practices, architecture governance, and organization-wide technology decisions
• Experience evaluating and adopting emerging technologies to improve scalability, reliability, performance, productivity, and competitive advantage
• Experience with PostgreSQL, SQL Server, Redis, and ElastiCache
• Experience with AWS services including any of the following… 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
• Experience productizing AI capabilities into reusable services, APIs, and internal platforms, including standardized AI pipelines for prompting, retrieval, reasoning, validation, and enterprise reuse
• Bachelor's degree in Computer Science, Information Systems, Engineering, or related field
• Technical background with .NET, C#
• Knowledge of modular AI components, including agents, tools, evaluators, and composable AI patterns across products
• Experience mentoring senior engineers, developing future technical leaders, and championing agentic coding workflows to accelerate delivery and improve quality throughout the SDLC
• Proven ability to solve complex and ambiguous technical challenges and advise senior leadership on technical trade-offs