Senior Application Security Engineer

Cybersecurity Jobs; Boston (MA); On-site; USD 110,000 - 315,000; Full time

Benefits offered by this job

Annual discretionary bonuses

Benefits package

Job summary

Arrowstreet Capital is seeking a Senior Application Security Engineer to embed security controls across the software development lifecycle and CI/CD pipelines. The role emphasizes building a modern DevSecOps ecosystem, integrating AI-driven vulnerability analysis, and advancing software supply chain security to reduce risk and improve developer velocity.

You will lead threat modeling for AI-enabled systems, implement secure SDLC policies, and collaborate with development teams to remediate

Qualifications

• Experience in DevSecOps and secure SDLC practices.
• Experience building dashboards for risk indicators and trends.
• Hands-on collaboration with developers to remediate vulnerabilities.
• Familiarity with CI/CD platforms and source control tools.

Responsibilities

• Manage and improve pipeline security posture with a modern DevSecOps ecosystem.
• Modernize vulnerability management with AI-driven analysis mapping risk to business impact.
• Lead threat modeling and security reviews for AI-enabled systems.
• Define metrics and reporting to communicate security posture to tech teams and leadership.
• Drive security controls in CI/CD pipelines (SAST, DAST, SCA, secret detection, container scanning, API testing).
• Advance software supply chain security with SBOM adoption and third-party risk management.

Skills

DevSecOps

security engineering

threat modeling

leadership

communication

Tools

GitHub

GitLab

Azure DevOps

Jenkins

SAST

DAST

SCA

Job description

Arrowstreet Capital is hiring a Senior Application Security Engineer to embed application security controls across the software development lifecycle and CI/CD pipelines.

Responsibilities

• Manage and improve pipeline security posture by building a modern DevSecOps ecosystem that uses secure workflows and vulnerability management across the development lifecycle.
• Modernize vulnerability management by integrating AI-driven analysis that maps technical risk to business impact for more informed prioritization and remediation.
• Explore and implement responsible AI use to enhance vulnerability discovery, code review, threat modeling, risk prioritization, security monitoring, and remediation recommendations.
• Lead threat modeling and security reviews for AI-enabled systems, including risks such as prompt injection, insecure handling of model outputs, sensitive data disclosure, model abuse, excessive agency, and data or model poisoning.
• Define metrics and reporting that communicate the security posture and risk exposure of AI-enabled applications to technical teams and senior leadership.
• Define and maintain secure SDLC policies, procedures, and workflows, translating them into actionable technical requirements.
• Drive security controls in CI/CD pipelines, including SAST, DAST, SCA, secret detection, container scanning, and API testing.
• Partner with development teams to explain findings, risks, and remediation steps, guiding fixes using an internal risk matrix that ties attack vectors to business objectives.
• Advance software supply chain security with dependency governance, artifact integrity, SBOM adoption, and third-party risk management.
• Improve pipelines with automated vulnerability and risk measurement, and implement promotion guardrails that balance effective risk management with delivery speed.
• Support incident response for application and pipeline security events.

Requirements

• Ability to leverage frontier AI models to enhance secure code scanning, vulnerability discovery, and application penetration testing.
• Experience in application security, DevSecOps, secure SDLC, vulnerability management, or security engineering.
• Experience building advanced dashboards for key risk indicators, trends, and actionable insights for technical and business stakeholders.
• Hands-on experience collaborating with developers to remediate vulnerabilities.
• Proficiency with CI/CD platforms and source control tools, including GitHub, GitLab, Azure DevOps, Jenkins, etc.
• Use experience with application security testing tools: SAST, DAST, SCA, container scanning, API testing, etc.
• Experience conducting security reviews of application architectures and APIs to identify design weaknesses, vulnerabilities, and potential attack paths.
• Familiarity with modern architectures such as microservices, containers, APIs, and cloud-native apps.
• Programming/scripting experience: Python, PowerShell, Bash, C#, Java, JS/TS, Ruby, etc.
• Working knowledge of AWS/Azure cloud security concepts.
• Experience developing technical documentation and secure coding guides.
• Effective communication of technical security concepts.
• Strong collaboration and relationship-building skills.
• Ability to influence secure development practices and drive adoption.
• Adaptability to pivot strategy or priorities when facing technical challenges or evolving scope.
• Risk-based mindset that accounts for both business and delivery needs.
• Initiative and independent leadership with strong project management.
• Analytical and detail-oriented with excellent problem solving.
• Thrives in fast-paced, multi-team environments.
• Metrics-driven approach to program effectiveness.
• Clear written and verbal communication of vulnerabilities and remediation.
• Passion for enabling secure development through automation, training, and scalable processes.
• Familiarity with frameworks/standards: NIST, CIS, ISO 27001, SOC 2, PCI DSS.
• Some knowledge of application security risks and frameworks: OWASP Top 10, CWE/SANS 25, secure coding, and threat modeling.
• Developer-first tools and integration (pull requests, issue tracking, IDEs) preferred.
• Threat modeling methodologies such as STRIDE, attack trees, and agile models.
• Experience with containers and cloud-native platforms (desired): Docker, Kubernetes, ECS/EKS/AKS/OpenShift.
• Relevant certifications are an asset: CSSLP, CISSP, GWAPT, GWEB, OSWE, and AWS/Azure Security.

Technology Focus

• AI-driven analysis, frontier AI models
• SAST, DAST, SCA, secret detection, container scanning, API testing
• CI/CD pipelines, GitHub, GitLab, Azure DevOps, Jenkins
• Python, PowerShell, Bash, C#, Java, JS/TS, Ruby
• AWS/Azure cloud security concepts; microservices, containers, APIs, cloud-native apps
• SBOM, dependency governance, artifact integrity, third-party risk management
• NIST, CIS, ISO 27001, SOC 2, PCI DSS; OWASP Top 10, CWE/SANS 25
• Threat modeling: STRIDE, attack trees, agile models
• Docker, Kubernetes, ECS/EKS/AKS/OpenShift

Compensation

• $110,000 - $315,000 per year

Location

• Boston, MA (onsite)

Additional Information

• Total compensation approach includes base salaries, annual discretionary bonuses, and a benefits package.
• Base salary placement within the range varies based on relevant experience and qualifications, including relevant certifications/credentials/education, role scope, and other factors.
• The salary range is an estimate; additional compensation details will be communicated during recruitment.
• Arrowstreet Capital provides reasonable accommodations for qualified individuals with disabilities; contact them to discuss accommodation needs during the employment process.