Lead Software Engineer
Envestnet
- Location
- United States
- Workplace
- Remote
- Employment
- Full Time
- Salary
- USD 149,000–186,000/yr
Posted 2mo ago
The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.
Responsibilities
- Lead the design and development of .NET services
- Provide day-to-day technical leadership and mentorship
- Own end-to-end delivery of features or subsystems
- Contribute to analytics platforms
- Implement features using modern architecture patterns
- Lead implementation of AI-enabled features
- Guide the team in building multi-step AI workflows
- Contribute to agent memory implementations
- Ensure code quality across performance, reliability, security, and observability
- Collaborate closely with Product Managers, QA, data teams, and external partners
- Drive best practices around code reviews, test automation, CI/CD and production readiness
- Adherence to and application of Envestnet legal, compliance, risk, business continuity and administrative policy
Requirements
- 8–12 years of backend engineering experience with strong expertise in .NET / C#
- Proven experience leading and mentoring engineers while remaining hands-on
- Solid background building distributed systems for transactional and/or analytical workloads
- Experience building distributed systems supporting transactional and/or analytical workloads
- Exposure to analytics platforms, reporting systems, or data intensive services
- 1–2+ years of experience building or integrating AI / ML or Generative AI solutions
- Good understanding of data consistency, fault tolerance, scalability, and performance tuning
- Familiarity with AI workflows, agent-based patterns, or modular AI components is a strong plus
- Strong collaboration and communication skills
Preferred
- Experience in fintech or regulated domains
- Familiarity with RAG architectures, vector databases, or prompt orchestration
- Experience working in cloud and Kubernetes based environments
Skills
- .NET
- C#
- SQL
- Distributed Systems
- Analytics Platforms
- Cloud
- Kubernetes
- Generative AI
- Agentic AI
- Lang Graph
- Security
- Observability
- RAG architectures
- Vector databases
- Prompt orchestration
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