Investment Systems Application Engineer - III

hackajob is collaborating with Vanguard to connect them with exceptional professionals for this role. Vanguard Personalized Indexing (VPI) is a rapidly growing business within Financial Advisor Services. We enable financial advisors to deliver tax‑efficient, customized direct indexing portfolios at scale. Our platform manages thousands of investor accounts and evaluates portfolios daily to support tax‑loss harvesting, customization, and investment research workflows. VPI operates at the intersection of investment management, cloud‑native platforms, and advanced analytics engineering. The technology we build directly supports investment research, portfolio construction, and data‑driven decision‑making that impacts client outcomes. We are seeking a test‑focused engineer to design and build automated validation frameworks and platform controls that ensure correctness, reliability, and auditability of VPI’s investment workflows. This is not a traditional QA role—this is an engineering role with strong coding responsibility, focused on building scalable testing frameworks while contributing to application and platform development where needed. Candidates are expected to bring prior experience building or supporting investment or financial systems and demonstrate a solid understanding of investment workflows and data accuracy requirements. 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 Factors Sponsorship Vanguard is offering visa sponsorship for this position. About Vanguard At 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 Work Vanguard 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.aa415a4b-8b21-40fc-a65c-70d2b25ca29a