Senior Full Stack Engineer

• Design, build, test, and deploy scalable full stack applications and services.
• Develop modern front-end experiences using frameworks such as React.
• Build backend services, APIs, and microservices using production-grade engineering practices.
• Design and implement REST and/or GraphQL APIs for internal and external consumption.
• Build integrations across applications, data platforms, workflow tools, and enterprise systems.
• Work with relational, cloud, and/or analytical data platforms to support application and reporting needs.
• Optimize application performance, API latency, database queries, and system reliability.
• Participate in technical design discussions and help define scalable architecture patterns.

• Use modern AI-assisted and agentic coding tools to accelerate development, refactoring, testing, documentation, and code review.
• Operate within a controlled SDLC environment, including code reviews, approvals, change management, validation, documentation, and release controls.
• Collaborate with cross-functional stakeholders to translate business needs into technical solutions.
• Support production applications, including troubleshooting, incident response, root cause analysis, and on-call rotation as needed.

• Senior-level, hands-on experience building end-to-end full stack applications in production environments.
• Demonstrated experience using agentic coding and AI-assisted development workflows in a professional engineering context.
• Familiarity with frontier LLMs and modern coding tools such as OpenAI/Codex, Claude, Cursor, GitHub Copilot, or similar platforms.
• Ability to use AI coding tools responsibly for code generation, refactoring, test creation, documentation, debugging, and design exploration.
• Strong understanding of prompt engineering, context management, model limitations, code validation, security review, and human-in-the-loop engineering practices.
• Strong front-end engineering experience with React, modern JavaScript/TypeScript, component-based design, and responsive UI development.
• Strong backend engineering experience with Python, Java, or comparable enterprise-grade languages.
• Experience designing and building APIs, including REST and/or GraphQL.
• Experience building microservices and distributed systems.
• Hands-on experience with containerized and cloud-native platforms, including Docker, Kubernetes, and modern CI/CD pipelines.
• Experience working with cloud platforms; Azure experience preferred.
• Strong database and data modeling experience across relational, analytical, or cloud data platforms;

Snowflake experience preferred.

• Strong understanding of software design patterns, system architecture, scalability, observability, and maintainability.
• Proven performance tuning skills across applications, APIs, databases, and distributed services.
• Comfort operating in a fast-paced, high-expectation environment with production ownership.
• Strong communication skills and ability to collaborate with engineering, product, business, and architecture stakeholders.

• Experience with event-driven architecture, messaging platforms, or streaming data patterns.
• Experience building AI-enabled applications, agent workflows, or tools that integrate with LLMs.
• Experience with semantic data models, analytics platforms, BI tools, or data product development.
• Experience in financial services, asset management, private markets, trading, risk, operations, or enterprise data environments.
• Familiarity with security, entitlementing, auditability, and compliance requirements in enterprise software.