Core Responsibilities Test Engineering & Automation Frameworks- Design and build automated testing frameworks for backend services, data pipelines, and end-to-end investment workflows
- Develop regression testing, scenario validation, and deterministic validation suites for portfolio calculations, tax logic, and trading workflows
- Create reusable testing tools, harnesses, and datasets (e.g., golden datasets, synthetic data generation)
- Integrate automated testing into CI/CD pipelines to enable continuous validation
Controls & Validation (Investment Systems Focus)- Implement controls-by-design to ensure accuracy, consistency, and completeness of investment workflows
- Build validation layers that detect data anomalies, workflow breaks, and calculation discrepancies
- Ensure traceability and reproducibility of results to meet audit and regulatory expectations
- Support development of validation frameworks for portfolio construction, tax-loss harvesting, and analytics pipelines
Auxiliary Development (Backend / Data / Full-Stack Support)- Contribute to backend services or data pipelines to enable testability, observability, and validation hooks
- Develop supporting APIs, utilities, or UI components that aid in testing, debugging, and workflow validation
- Improve system instrumentation to enable better monitoring and validation
Cloud & Engineering Practices (AWS)- Build and run validation frameworks on AWS using scalable, cloud-native patterns
- Integrate testing tools into CI/CD pipelines and deployment workflows
- Contribute to observability (logging, metrics, tracing) to support validation and issue diagnosis
SDLC & Production Support- Participate in design, code, and test reviews to ensure quality is built in early
- Support defect identification, triage, and root cause analysis
- Contribute to production validation, reconciliation checks, and post-release verification
- Ensure solutions comply with information security and technology policies
Experience Required - 5+ years of experience in software engineering, test engineering, or platform engineering within investment, wealth management, or financial systems
- Strong programming skills in Python (preferred) or Java
- Experience building automated testing frameworks (unit, integration, and end-to-end)
- Solid understanding of investment domain concepts (portfolios, positions, transactions, tax lots, trading lifecycle, or analytics workflows)
- Experience working with data-intensive systems and validating data quality and accuracy
- Familiarity with CI/CD pipelines and cloud environments (AWS preferred)
Preferred- Experience implementing controls, validation frameworks, or reconciliation processes in financial systems
- Exposure to model validation, analytics validation, or calculation verification workflows
- Experience with distributed systems, microservices, and event-driven architectures
- Familiarity with observability tools and debugging complex production systems
What Success Looks Like- You build robust automated validation frameworks that significantly reduce production defects
- You improve confidence in investment workflows by ensuring correctness and reproducibility
- You embed testing and control mechanisms directly into system design and delivery pipelines
- You act as a quality multiplier-raising engineering standards across the VPI platform
Special FactorsSponsorshipVanguard is offering visa sponsorship for this position.
