Responsibilities:
- Performs manual and AI-assisted secure code reviews across modern application stacks, analyzing source code to identify vulnerabilities, logic flaws, and insecure coding practices.
- Develops and optimizes prompts, workflows, and review methodologies that improve the effectiveness and repeatability of AI-assisted code review activities.
- Validates and refines vulnerability findings, reducing false positives and identifying overlooked risks.
- Produces clear technical reports and risk-based recommendations.
- Partners with development teams to explain findings, assess risk, and provide actionable remediation guidance.
- Collaborates with penetration testers, threat modelers, and application security teams.
- Contributes to team processes, methodologies, and automation initiatives.
Qualifications:
- Minimum of 5 years of related work experience in application security, secure code review, or software engineering with a security focus
- Strong understanding of secure coding principles, application security vulnerabilities (OWASP Top 10 and common application vulnerabilities), and secure software development practices
- Understanding of modern software architectures, APIs, cloud-native applications, and CI/CD pipelines
- Experience reviewing Java, C#, Python, JavaScript/TypeScript, Go, or similar languages
- Experience using SAST tools such as Checkmarx, Fortify, Veracode, Semgrep, or SonarQube as well as familiarity with secure SDLC and DevSecOps practices
- Hands-on experience using generative AI or AI-assisted developer/security tools as part of engineering, code review, security testing, or DevSecOps workflows
- Ability to communicate security findings and remediation guidance to developers and technical leadership
- Undergraduate degree in a related field or an equivalent combination of training and experience
- Experience creating prompts, workflows, agents, or automations preferred
- Experience leveraging large language models (LLMs) to improve security analysis, code review efficiency, vulnerability triage, or secure development workflows preferred
- Familiarity with LLM security risks, prompt injection, insecure code generation, model misuse, and AI application attack vectors preferred
- Experience reviewing applications that utilize machine learning, generative AI, agentic AI, or AI-enabled business processes preferred
Special Factors
Sponsorship
Vanguard is not 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.
Skills Required
- Minimum of 5 years of related experience in application security, secure code review, or software engineering with a security focus
- Strong understanding of secure coding principles, OWASP Top 10, common application vulnerabilities, and secure software development practices
- Understanding of modern software architectures, APIs, cloud-native applications, and CI/CD pipelines
- Experience reviewing Java, C#, Python, JavaScript/TypeScript, Go, or similar languages
- Experience using SAST tools such as Checkmarx, Fortify, Veracode, Semgrep, or SonarQube
- Familiarity with secure SDLC and DevSecOps practices
- Hands-on experience using generative AI or AI-assisted developer/security tools in engineering, code review, security testing, or DevSecOps workflows
- Ability to communicate security findings and remediation guidance to developers and technical leadership
- Undergraduate degree in a related field or equivalent combination of training and experience
- Experience creating prompts, workflows, agents, or automations
- Experience leveraging large language models to improve security analysis, code review efficiency, vulnerability triage, or secure development workflows
- Familiarity with LLM security risks, prompt injection, insecure code generation, model misuse, and AI application attack vectors
- Experience reviewing applications that use machine learning, generative AI, agentic AI, or AI-enabled business processes
Vanguard Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Vanguard and has not been reviewed or approved by Vanguard.
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Retirement Support — Retirement support appears unusually strong through a 401(k) design that includes a match plus an additional employer contribution, which can materially lift long-term total rewards. HSA seeding and an enhanced employer match further strengthen the savings-and-benefits value of the package.
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Wellbeing & Lifestyle Benefits — Wellbeing and lifestyle support is reinforced by a sizable annual FlexFund stipend that can be applied across many day-to-day categories such as fitness, childcare, and other personal expenses. On-site or virtual clinics and fitness options add practical health and wellness convenience.
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Affordable Benefits — Healthcare and related benefits are positioned as comparatively affordable via heavily subsidized medical plans and broad coverage options. This affordability can offset moderate base pay for employees who place higher value on out-of-pocket cost reductions.
Vanguard Insights
What We Do
We are a community of 30 million who think – and feel – differently about investing. Together, we’re changing the way the world invests. Since our founding in 1975, helping our investors achieve their goals is our sole reason for existence. With no other parties to answer to and therefore no conflicting loyalties, we make every decision—like keeping investing costs as low as possible—with only your needs in mind. Vanguard is one of the world's largest investment companies, offering a large selection of high-quality low-cost mutual funds, ETFs, advice, and related services. Individual and institutional investors, financial professionals, and plan sponsors can benefit from the size, stability, and experience Vanguard offers. As of April 30, 2019, we managed more than $5.6 trillion in global assets. In addition, we have 189 funds in the United States and 225 funds in global markets. For Commenting Guidelines & Important information, visit here: http://vanguard.com/linkedin Vanguard Marketing Corporation, Distributor.
