Senior Application Security Engineer - Corporate Information Security

General Description

We are seeking a Senior Application Security Engineer to strengthen the integrity of our software development lifecycle and safeguard our products from emerging threats. In this role you’ll collaborate across Engineering DevOps AI/ML and Security teams to embed security considerations from the earliest stages of design through to production and beyond leveraging artificial intelligence and advanced automation to enhance security effectiveness and efficiency.

The Senior Application Security Engineer will demonstrate deep expertise in application security secure software design and cloud-native architecture leading by influence to embed security into the development lifecycle. This role will drive the adoption of modern DevSecOps practices threat modeling and secure coding programs that align with engineering goals and business priorities.

This position is 100% remote and the Senior Application Security Engineer must be self-directed able to work both individually and as part of a multifunctional team and possess the necessary written and verbal communication skills to interact effectively with team members IT AI/ML teams and other internal customers.

Roles and Responsibilities:

• Embed security into development: Collaborate closely with engineering teams to embed security throughout the SDLC—from architectural design and code implementation to CI/CD pipelines and peer reviews—ensuring security is an integral part of how software is built and shipped. Conduct thorough pull request reviews with security focus and contribute to secure coding practices through hands-on development experience.

• Find and fix vulnerabilities: Use both automated and manual approaches to identify risks including static and dynamic analysis (SAST/DAST) manual code reviews and penetration testing of web and mobile applications. Implement AI-powered vulnerability discovery and intelligent prioritization systems to enhance detection capabilities.

• Automate security checks: Integrate a robust set of security practices into the CI/CD workflow—covering Software Composition Analysis (SCA) secret detection Infrastructure as Code (IaC) scanning container/image scanning and dependency monitoring—to address issues early and continuously. Design and implement advanced automation workflows using modern development practices and AI/ML frameworks.

• Monitor and respond in production: Implement security telemetry and runtime monitoring to maintain visibility into production environments detect threats in real time and support rapid response during security incidents. Deploy AI-driven anomaly detection and automated response capabilities.

• Guide secure design: Participate in architecture reviews and threat modeling sessions to proactively identify design-level risks and shape secure system patterns. Apply deep knowledge of cybersecurity standards (NIST ISO 27001 SOC 2) and current threat landscape to guide security architecture decisions.

• Respond to security incidents: Work alongside engineering and security teams during investigations remediation efforts and post-incident reviews to strengthen long-term resilience.

• Shape the program: Define and track meaningful application security metrics to measure impact influence priorities and drive continuous improvement. Beyond metrics and tooling lead efforts in secure development practices risk-based decision-making and help foster a culture where security is thoughtfully embedded. Leverage AI-driven analytics for program insights and automated reporting.

Required Experience:

• 8+ years of experience in application security software engineering or related fields with a strong foundation in integrating security across the SDLC and demonstrated expertise in AI/automation technologies.

• Strong development background with proficiency in multiple programming languages (Java Python JavaScript/TypeScript) and experience contributing to production codebases and conducting security-focused pull request reviews.

• Proven ability to embed security into CI/CD workflows and code reviews in collaboration with engineering teams.

• Deep understanding of cybersecurity standards frameworks and threat landscape with ability to apply this knowledge to guide security program development.

• Hands-on experience with SAST/DAST tools (e.g. Checkmarx CodeQL Fortify Burp Suite ZAP) and manual code reviews and pen testing including AI-powered security analysis tools.

• Experience automating security checks using SCA tools (Nexus Snyk Mend Black Duck Artifactory) secrets scanners (TruffleHog GitGuardian) IaC scanners (Checkov tfsec Bridgecrew) and container/image scanning (Grype Aqua Prisma Cloud)— or similar with ability to build custom automation and integrate AI/ML capabilities.

• Familiarity with integrating security into pipelines using GitHub Actions GitLab CI Jenkins CircleCI or equivalent with DevSecOps expertise and modern development practices.

• Knowledge of security telemetry and runtime monitoring tools (e.g. Wiz Lacework Falco Datadog New Relic) for detecting and responding to threats in production.

• Skilled in architecture reviews and threat modeling (e.g. STRIDE PASTA) with the ability to guide secure design decisions.

• Strong understanding of OWASP Top 10 CWE and secure coding standards; experience delivering developer training and hands-on guidance.

• Able to support incident response efforts and contribute to remediation root cause analysis and hardening.

Travel Requirements:

• Up to 10% travel