Investment Systems Application Engineer - III

Core ResponsibilitiesTest Engineering & Automation FrameworksDesign and build automated testing frameworks for backend services, data pipelines, and end‑to‑end investment workflowsDevelop regression testing, scenario validation, and deterministic validation suites for portfolio calculations, tax logic, and trading workflowsCreate reusable testing tools, harnesses, and datasets (e.g., golden datasets, synthetic data generation)Integrate automated testing into CI/CD pipelines to enable continuous validationControls & Validation (Investment Systems Focus)Implement controls‑by‑design to ensure accuracy, consistency, and completeness of investment workflowsBuild validation layers that detect data anomalies, workflow breaks, and calculation discrepanciesEnsure traceability and reproducibility of results to meet audit and regulatory expectationsSupport development of validation frameworks for portfolio construction, tax‑loss harvesting, and analytics pipelinesAuxiliary Development (Backend / Data / Full‑Stack Support)Contribute to backend services or data pipelines to enable testability, observability, and validation hooksDevelop supporting APIs, utilities, or UI components that aid in testing, debugging, and workflow validationImprove system instrumentation to enable better monitoring and validationCloud & Engineering Practices (AWS)Build and run validation frameworks on AWS using scalable, cloud‑native patternsIntegrate testing tools into CI/CD pipelines and deployment workflowsContribute to observability (logging, metrics, tracing) to support validation and issue diagnosisSDLC & Production SupportParticipate in design, code, and test reviews to ensure quality is built in earlySupport defect identification, triage, and root cause analysisContribute to production validation, reconciliation checks, and post‑release verificationEnsure solutions comply with information security and technology policiesExperience Required5+ years of experience in software engineering, test engineering, or platform engineering within investment, wealth management, or financial systemsStrong programming skills in Python (preferred) or JavaExperience 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 accuracyFamiliarity with CI/CD pipelines and cloud environments (AWS preferred)PreferredExperience implementing controls, validation frameworks, or reconciliation processes in financial systemsExposure to model validation, analytics validation, or calculation verification workflowsExperience with distributed systems, microservices, and event‑driven architecturesFamiliarity with observability tools and debugging complex production systemsWhat Success Looks LikeYou build robust automated validation frameworks that significantly reduce production defectsYou improve confidence in investment workflows by ensuring correctness and reproducibilityYou embed testing and control mechanisms directly into system design and delivery pipelinesYou act as a quality multiplier—raising engineering standards across the VPI platformSpecial FactorsSponsorshipVanguard is offering visa sponsorship for this position.About VanguardAt Vanguard, we don't just have a mission—we're on a mission.To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.How We WorkVanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.SummaryLocation: Charlotte, NC; JIS - OaklandType: Full time