> Markdown version of [/jobs/ext/4583607-principal-software-development-engineering](https://www.wearedevelopers.com/jobs/ext/4583607-principal-software-development-engineering). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Software Development Engineering - **Company:** Envestnet, Inc. - **Location:** All, MO, United States (Remote available) - **Salary:** $184,200 - $230,300 - **Contract:** Permanent contract - **Skills:** .NET Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Elastic Compute Cloud, Amazon S3, Applications Architecture, Code Review, Information Systems, Continuous Integration, DevOps, Python (Programming Language), PostgreSQL, Machine Learning, Microsoft SQL Server, Scrum Methodology, Redis, Reliability Engineering, Software Engineering, Web Applications, Cloud Platform System, Test-Driven Development (TDD), Sql Optimization, Amazon ElastiCache, Delivery Pipeline, Apigee, Cloudformation, Xunit, Kubernetes, Information Technology, Deployment Automation, Performance Monitor, Apache Kafka, Cloudwatch, Api Gateway, Restful APIs, Amazon Simple Queue Service (SQS), Terraform, Api Management, Docker, Legacy Systems - **Published:** November 5, 2026 - **Apply:** https://www.careerbuilder.com/job-details/principal-software-development-engineering--9e5327d4-5702-48a1-9ab5-a00eec0f3a9a ## About the Role Software Development, Software Engineering, Software Development, Software Engineering, Wealth Management, Rich Internet Application (RIA), Bank Management, Financial Planning, Reliability Engineering, Financial Services, * 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. * Bachelor's degree in Computer Science, Information Systems, Engineering, or related field required. * Extensive experience translating complex business requirements into robust, maintainable technical solutions for reporting, analytics, or data-intensive platforms. * Strong knowledge of performance reporting calculations, financial reporting logic, data quality, calculation accuracy, and operational continuity in production environments. * Experience modernizing and maintaining large, complex legacy systems while preserving critical institutional and domain knowledge. * 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. * Experience partnering with QA, business stakeholders, and cross-functional teams to ensure successful end-to-end delivery and production support. * Demonstrated ability to perform code reviews, enforce engineering best practices, mentor engineers, and drive quality standards and design principles. * Excellent communication skills with the ability to influence technical direction, advise senior leaders, and support knowledge transfer for critical reporting platform capabilities. ## Description You will join a specialized engineering team focused on building scalable, data-driven reporting platforms that deliver accurate insights for financial services clients. As a Principal Engineer, you'll partner with senior engineers, product, and business stakeholders to solve complex challenges, shape technical strategy, and drive high-impact initiatives at enterprise scale. The team is focused on advancing modern architectures, AI/ML-enabled applications, and agentic engineering practices to improve reliability, accelerate delivery, and elevate reporting capabilities. How You'll Contribute 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. * Defines and drives long-term technical strategy and architecture across multiple systems. * Leads large-scale, high-impact initiatives that align with business objectives. * Solves highly complex, 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 develop future technical leaders. * Evaluates and adopts new technologies to drive innovation and competitive advantage. * Ensures system scalability, reliability, and performance at enterprise scale. * Leads cross-functional initiatives involving engineering, product, and business teams. * Designs and improves enterprise-grade CI/CD frameworks, deployment strategies, and automation pipelines. * Partners with DevOps/SRE to define infrastructure patterns (scalability, observability, resilience). * Defines and advances enterprise-scale reporting technology, including modern application architectures, RESTful APIs, advanced SQL, and performance reporting logic for financial services clients. * Leads the design, enhancement, and production support of Python-based AI/ML applications, ensuring reliability, scalability, and alignment with business requirements. * Champions agentic coding workflows and AI-enabled development practices to accelerate delivery, improve quality, and increase efficiency across the software development lifecycle. * Partners with QA, business stakeholders, and engineering teams to translate complex reporting needs into robust, maintainable technical solutions.