Full Stack Enterprise Solution Architect

Evolver Commercial • Sf, CA

6d • $160,000 - $190,000 • Hybrid

About The Position

We are seeking an experienced Full Stack Enterprise Solution Architect to design and guide the development of mission-critical technology solutions supporting investment management, research, trading, risk, and operational workflows. This role plays a key part in modernizing and evolving enterprise platforms while maintaining the stability, security, and governance required in a regulated financial environment. This role bridges architecture strategy and technical execution, working closely with stakeholders, engineering teams, and leadership to translate complex requirements into robust, future-proof architectures. The ideal candidate combines deep hands-on technical expertise with strong architectural judgment, communication skills, and a pragmatic approach to enterprise systems, along with an appreciation for the unique constraints of asset management systems-data accuracy, auditability, resilience, and long-term maintainability.

Requirements

• 10 years of experience in software development and solution architecture
• 5 years of full-stack expertise (modern JavaScript frameworks, backend services, APIs, and databases)
• 5 years of experience designing enterprise-scale, high-reliability systems
• 5 years of cloud platforms (AWS, Azure, or GCP) and distributed architectures
• 5 years of experience with microservices, REST/GraphQL APIs, messaging, and integration patterns
• Backend Development .NET Core / .NET 6+: Expertise in building scalable APIs and microservices.
• C#: Strong command of asynchronous programming, LINQ, and design patterns.
• API Design: RESTful and GraphQL services for integration.
• Frontend Development JavaScript/TypeScript: Advanced proficiency.
• Frameworks: React.js, Angular, or Vue.js for responsive UI design.
• UI/UX: Accessibility standards, component-based architecture, and state management.
• Database & Data Engineering Snowflake: Deep understanding of data warehousing, SQL optimization, and integration with AI workflows.
• Familiarity with dbt for transformations and Azure SQL as fallback
• AI & Emerging Tech Integration Generative AI & LLMs: Experience with OpenAI, Claude, Gemini, and Azure OpenAI for building intelligent features.
• Prompt Engineering: Crafting effective prompts for AI-driven workflows.
• Agentic Architecture: Implementing Retrieval-Augmented Generation (RAG), embeddings, and vector search for AI agents.
• Model Orchestration: Deploying and integrating models from Hugging Face, Vertex AI, or OpenAI APIs
• Cloud & DevOps Cloud Platforms: Azure expertise (App Services, Functions, Identity & Security).
• CI/CD Pipelines: GitHub Actions, Jenkins for automated deployments.
• Containerization: Docker and Kubernetes for scalable deployments.
• Security: OAuth, DLP, encryption (Double Key Encryption), and compliance with InfoSec standard
• Model & AI Governance Understanding of data protection policies, secure credential management, and governance frameworks for AI integration

Nice To Haves

• Solid grounding in security principles, authentication/authorization, and data protection
• Strong communication skills with the ability to explain complex technical concepts to non-technical audiences
• Experience in asset management, investment management, banking, or financial services, or large enterprise environments
• Familiarity with DevOps, CI/CD pipelines, and infrastructure-as-code
• Experience with containerization and orchestration (Docker, Kubernetes)
• Exposure to data platforms, analytics, or event streaming technologies
• Experience with enterprise AI platforms (ChatGPT Enterprise, Copilot Studio, Gemini, Snowflake Cortex AI) and AI application use cases
• Background in regulated industries for compliance awareness.
• Prior experience mentoring engineers or leading architectural reviews

Responsibilities

• Lead the end-to-end architecture of enterprise applications, spanning front-end, back-end, integration, data, and cloud infrastructure
• Partner with business (portfolio managers, analysts, operations, compliance), and technology stakeholders to understand requirements and translate them into scalable technical platform solutions
• Define and enforce architecture standards, patterns, and reference architectures
• Design APIs, microservices, event-driven systems, and integration layers to support enterprise workflows
• Evaluate and recommend technologies, platforms, and vendors aligned with long-term strategy
• Provide hands-on guidance and technical leadership to development teams
• Ensure solutions meet regulatory, security, performance, reliability, data governance and compliance requirements
• Review solution designs, code, and deployments to ensure architectural integrity
• Support cloud and hybrid architectures, including scalability, resilience, and cost optimization
• Mentor other solution architects / developers and help raise overall engineering and architectural maturity

Benefits

• health
• dental
• vision insurance
• 401(k)
• flexible spending account
• paid leave (including PTO and parental leave)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed