Braze4h ago

Audit Automation Engineer

Bucharestmid

EngineeringFinanceQA & Testing

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Quick Summary

Key Responsibilities

The Internal Audit team is transforming its assurance capabilities to focus on continuous monitoring, auditing and predictive risk insights. We are a technical,

Requirements Summary

3–5 years of experience building automation or data solutions in production (software engineering, data engineering, or internal tools).

Technical Tools

EngineeringFinanceQA & Testing

At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew.

We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity – inside and outside our organization.

To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success.

Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture.

If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can’t wait to meet you.

Responsibilities

~2 min read

Team Overview: 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.

Responsibilities:

→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
→Strong written and verbal English language skills are essential.

You are a pragmatic, full-stack software engineer who is passionate about applying technical expertise to solve complex risk and compliance challenges. You thrive in an environment where your outputs are code, and you are eager to take ownership of both building and maintaining mission-critical tools.

Required Qualifications:

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.

Preferred Qualifications (Nice-to-Haves):

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.