Dotnet Developer

The Team You'll Join

On the Tamarac development team, we build one of the industry's most advanced portfolio management and trading platforms for RIAs. We tackle complex engineering challenges every day from large scale data ingestion and analytics to deep system integrations, high performance trading algorithms, and a robust full stack web experience used by thousands of advisors.

As we continue to scale the platform—supporting 50+ million trades annually—we're modernizing our architecture to meet growing demand while delivering innovative, advisor focused features. Our engineers collaborate across disciplines to build AI powered insights, enhance cross platform capabilities, and design resilient, cloud native systems.

This is a rare opportunity to join us in shaping the technical roadmap of a leading trading platform—driving how we scale, evolve, and deliver capabilities that elevate both the advisor and client experience, with real world impact from day one.

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.

• Designs, develops, and maintains complex features or system components.
• Leads technical design for small-to-medium features or services.
• Identifies root causes of issues and implement robust, scalable fixes.
• Optimizes code for performance, scalability, and reliability.
• Mentors junior engineers and provide technical guidance.
• Drives improvements in coding standards, testing practices, and CI/CD processes.
• Collaborate with stakeholders to refine requirements and clarify technical constraints.
• Troubleshoots production issues and lead resolution efforts.
• Balances multiple priorities across projects with minimal supervision.
• Implements and improves basic observability (logging, monitoring, alerting) for owned services.
• Supports production troubleshooting in collaboration with DevOps/SRE teams.
• 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).
• Leverages agentic coding tools (e.g., Claude Code, GitHub Copilot) to increase personal productivity across development, testing, and code review phases of the SDLC.

What You'll Need to Bring

• 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.
• Strong proficiency in .NET, C#, RESTful APIs, and relational/NoSQL database design.
• Experience with SQL and NoSQL databases including PostgreSQL, SQL Server, and Redis.
• Experience with AWS services including EC2, S3, Lambda, RDS, and CloudWatch.
• Familiarity with containerization and orchestration tools including Docker and Kubernetes.
• Experience with CI/CD pipelines, observability practices, agile/Scrum delivery, test-driven development, and code quality standards.
• Ability to troubleshoot and resolve production issues independently and lead resolution efforts within owned services.
• Experience mentoring junior engineers and contributing to team technical standards.
• Exposure to AI/ML systems, LLM-based applications, or data pipeline work preferred.

Nice-to-Haves

• 5 to 8 years of experience
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field required; master's degree preferred.
• Software engineering experience with demonstrated ownership of complex features or system components in production environments.