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The Internal Audit team is transforming its assurance capabilities to focus on continuous monitoring, auditing and predictive risk insights. We are a technical, forward-looking function responsible for designing and deploying automation, advanced analytics, and AI agents to provide continuous assurance and objective value across the business.
Job Responsibility:
Design, build, and maintain full-stack web applications that deliver continuous auditing capabilities to internal stakeholders
Develop, deploy, and maintain AI-enabled workflows and agents for evidence collection and anomaly surfacing, utilizing tools like Google AI Studio
Write, test, and maintain robust scripts (Python, SQL) for data extraction, manipulation, automated control testing, and data quality validation across source systems
Maintain and optimize existing continuous monitoring infrastructure built using Workiva Chains and Wdata for financial and operational controls
Write clean, scalable code across the entire stack, primarily using TypeScript for the front end and Python for the back end
Manage the deployment lifecycle for all automations, ensuring code integrity, establishing observability, and owning the CI/CD process via GitHub
Develop APIs and connectors to source systems (e.g., ERP, HRIS) and design code-based control tests (Python, SQL)
Partner with auditors as a Technical SME to interpret control objectives and ensure automation accuracy
Produce concise engineering documentation (readme/runbooks), not traditional audit workpapers
Requirements:
3–5 years of experience building automation or data solutions in production (software engineering, data engineering, or internal tools)
Demonstrated experience in full-stack development using Angular, TypeScript, and Python
Demonstrated experience deploying LLM-backed features and building/maintaining AI workflows
Demonstrated experience with Git and GitHub for version control and implementing CI/CD pipelines
Demonstrated experience maintaining and troubleshooting Workiva Chains and Wdata continuous monitoring pipelines
Strong Python and SQL skills (performance-aware queries, modular code, unit tests)
Experience integrating REST/Graph APIs and working with JSON payloads at scale
Strong written and verbal English language skills are essential
Nice to have:
Experience developing and deploying applications on Google Cloud Platform (GCP) (e.g., Cloud Run, CloudSQL, BigQuery)
Familiarity with SOX/ITGC concepts
ability to reason about audit evidence, completeness, and accuracy
Security/IAM Basics: practical experience with least-privilege, service accounts, and data protection concepts
What we offer:
Competitive compensation that may include equity
Retirement and Employee Stock Purchase Plans
Flexible paid time off
Comprehensive benefit plans covering medical, dental, vision, life, and disability
Family services that include fertility benefits and equal paid parental leave
Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend
A curated in-office employee experience, designed to foster community, team connections, and innovation
Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching
Employee Resource Groups that provide supportive communities within Braze