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

- 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.
- 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).
- Actively utilizes agentic coding tools throughout the SDLC to accelerate feature delivery and drives adoption of AI-assisted development practices across the team.

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 technical background with .NET, C#, RESTful APIs,



and API management solutions.
- Experience with SQL and NoSQL databases including PostgreSQL, SQL Server, and Redis.
- Experience with AWS services including EC2, S3, API Gateway, Lambda, RDS, EKS, CloudWatch, and SQS.
- Experience with Kubernetes, Docker, Kafka, CloudFormation, CDK, Terraform, DevOps practices, automation, agile delivery, Scrum, and test-driven development.
- Experience designing, delivering, or integrating production-grade AI/ML systems, LLM-based applications, AI platform capabilities, and agentic workflows.
- Strong knowledge of AI cost control, evaluation, governance, LLM integration patterns, stateful agents, memory patterns, and practical AI use case delivery.
- Experience with event-driven architecture, asynchronous messaging, cloud infrastructure, and observability practices.
- Demonstrated ability to lead architectural decisions, define technical standards, conduct code reviews, and communicate trade-offs to technical and non-technical stakeholders.
- Experience in fintech, reporting, real-time financial platforms, or regulated production environments requiring solid data consistency, idempotency, fault tolerance, and scalability.
- Hands-on experience using agentic coding tools such as Claude Code or GitHub Copilot to accelerate feature delivery, code review, testing, and SDLC execution.

Nice-to-Haves

- 10+ years of experience
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field required; master's degree preferred.
- Software engineering experience, including technical leadership for major features, systems, services, or platforms with broad impact.

📌 .Net Architect (Thiruvananthapuram)
🏢 Envestnet
📍 Thiruvananthapuram