Investment Systems Application Engineer
Straight from Vanguard’s careers page. Apply on the company site — no recruiter, no middleman.
Investment Systems Application Engineer - III
Location: Charlotte, NC, JIS - Oakland
Time Type: Full time
Job Description
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 dont just have a mission—were 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.
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