Investment Systems Application Engineer – III

Role Overview

• 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

Requirements

• 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)

Tech Stack

• AWS
• Cloud
• Java
• Python