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Job Overview

The Finance Modern Technology Office is seeking a Business Systems Analyst who is, in practice, a full-stack software engineer with strong experience in automation, AI, and enterprise-grade system design.

In this role, you will document, improve, and automate business processes; design and build internal tools; integrate LLMs and AI-driven automation into day-to-day workflows; and explore emerging technologies to increase productivity across Finance and the broader company.

This is a highly hands-on, builder-oriented role. You will work directly with stakeholders to understand problems, architect solutions, and independently deliver high-quality systems end-to-end. The ideal candidate has a startup mindset, broad technical range, and deep proficiency in modern web development and automation.

Responsibilities

Partner with Finance stakeholders to understand business processes, pain points, and automation opportunities
Architect, develop, and maintain full-stack internal tools and applications (from backend systems to polished front-end interfaces)
Build and optimize APIs, workflows, and integrations across internal and external systems
Design, implement, and monitor LLM- or GenAI-driven automation (prompting, API integration, evaluation frameworks)
Apply best practices in software engineering, including code quality, observability, automated testing, version control, and CI/CD
Participate in Agile/Scrum ceremonies and contribute to roadmap development
Own systems from concept to deployment: including architecture, development, documentation, rollout, and post-launch support
Ensure reliability, scalability, and security standards appropriate for enterprise environments
Collaborate with the broader Modern Technology Office to evaluate and implement cutting-edge technologies

Qualifications

5+ years front-end development experience (ReactJS, TypeScript, HTML, CSS)
5+ years backend development experience (Python), ideally including FastAPI and Pydantic
3+ years working with relational databases (PostgreSQL preferred)
3+ years of experience with AWS including S3, SQS, Lambda, RDS, and EC2
1+ years working with LLMs / GenAI, including prompting, building with LLM provider APIs, or integrating AI into products
Experience developing, deploying, and maintaining software in an enterprise-scale environment
Strong familiarity with business process automation, workflow automation, or operations tooling
Proven ability to architect systems end-to-end and work independently in a fast-moving, ambiguous environment
Strong understanding of API design, caching strategies, rate limiting, and performance considerations
Experience writing automated tests and applying software engineering best practices
Experience with CI/CD pipelines, preferably Jenkins
Comfortable in Agile/Scrum or similar development environments
Understanding of secure coding practices, data governance, and compliance considerations in enterprise environments.
Strong knowledge of Linux and other UNIX-like environments, including proficiency with command-line
Familiarity with cloud networking concepts (VPCs, subnets, security groups, routing)

Nice-to-Have Skills

Experience building and deploying containers (Docker, Kubernetes)
Familiarity with event-driven architectures, SSE, websockets, and real-time systems
Experience with agentic AI systems, workflow orchestration, or tool-using AI agents
Experience with infra-as-code (Terraform/CDK)
Experience with logging, metrics, and monitoring tools (e.g., CloudWatch, Grafana, OpenTelemetry).
Understanding of AWS networking and security primitives (VPC, subnets, NACLs, security groups, IAM roles/policies)
Understanding of or experience with automation tools like UiPath, Alteryx, Workato, N8n
Ability to translate ambiguous business requirements into technical specifications and system designs.
Ability to identify opportunities, propose solutions, and drive product direction for internal tools.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

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