Investment Systems Application Engineer - III

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

• 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

• 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

• 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

• 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

• 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)

• 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

• 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