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Product Security Engineer 3

External
Adobe logoAdobe · Bangalore, India
Full-timeOn-siteToday
AWSAzureBashCI/CDCloud SecurityCloudFormation
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About the role

Adobe's Product and Software Security Team is seeking a Security Engineer with deep penetration testing expertise and a strong DevSecOps background to drive both hands-on Adversarial testing and the integration of security across Adobe's software development lifecycle. The role spans security assessments of web, mobile, and desktop applications, cloud environments, AI/LLM systems, and supporting infrastructure, alongside building and operating the security guardrails embedded into CI/CD pipelines. The successful candidate will lead end-to-end engagements, deliver findings with clear risk assessments and actionable remediation, and partner with engineering teams to ship secure-by-default software at scale.

Responsibilities

  • Conduct penetration tests on AI/LLM systems (prompt injection, model poisoning, jailbreaks, etc.), web applications, APIs, mobile apps, cloud infrastructure, containers, and supporting infrastructure.
  • Identify and exploit vulnerabilities including authentication/authorization flaws, business logic issues, injection, SSRF, deserialization, and chained attacks.
  • Embed security controls into CI/CD pipelines: SAST, DAST, SCA, secrets scanning, and container/image scanning as first-class pipeline gates.
  • Design and operate DevSecOps automation across cloud environments (AWS, Azure, GCP): policy-as-code, infrastructure-as-code scanning, and automated security guardrails.
  • Develop custom scripts and tooling using Python, Go, or PowerShell to automate testing, validation, and pipeline integration.
  • Partner with engineering teams on threat modeling, security code review, and secure-by-default architecture.
  • Build the feedback loop from security findings back into preventive controls so the same class of bug doesn't ship twice.
  • Deliver clear, actionable reports and provide remediation guidance to engineering and product teams.
  • Manage the full lifecycle of penetration testing engagements from scoping to execution and delivery.
  • Research emerging AI/ML exploits, cloud-native attack techniques, and supply chain risks to stay ahead of threats.
  • Enhance testing methodologies and contribute to the internal knowledge base.

Requirements

  • 4+ years of combined experience in penetration testing and DevSecOps, with meaningful depth in both - not just one.
  • Hands-on pentest experience across web apps, APIs, mobile, and cloud environments. You can find and exploit, not just scan and report.
  • Proven track record integrating security tooling (SAST, DAST, SCA, secrets, container/image
  • scanning) into CI/CD pipelines in production environments.
  • Understanding of AI/ML security, LLM vulnerabilities, and prompt engineering attacks.
  • Strong knowledge of OWASP Top 10, OWASP API Top 10, and OWASP LLM Top 10.
  • Programming/scripting in at least one language: Python, Bash, PowerShell, Go, JavaScript.
  • Ability to read and understand source code, trace execution flows, and dynamically exploit
  • vulnerabilities during live assessments.
  • Understanding of secure coding practices and common code-level vulnerabilities.
  • Strong experience with cloud security (AWS, Azure, GCP) and containers (Docker, Kubernetes).
  • Familiarity with infrastructure-as-code (Terraform, CloudFormation) and policy-as-code
  • frameworks.
  • Knowledge of attack vectors, exploits, vulnerability exploitation, and chained attacks.
  • Strong written and verbal communication skills with ability to explain findings to technical and non-technical audiences.
  • Preferred
  • Strong academic background (Master's degree) in IT, Computer Science, or related fields.
  • Certifications: OSCP, OSWE, OSEP, GXPN, GPEN, GWAPT, CRTP, eJPT, CREST, CISSP, or
  • equivalent.
  • Published CVEs demonstrating research capability.
  • Bug bounty or Capture The Flag (CTF) experience.
  • AI/ML security research experience.
  • Advanced exploitation experience and custom tooling development.
  • Threat modeling and secure DevOps knowledge at enterprise scale.
  • Experience with AI-assisted security tooling (LLM pipelines, RAG, agentic workflows) for
  • vulnerability discovery or triage.
  • Open-source contributions or technical writing on offensive security, DevSecOps, or AI security.
  • About Adobe
  • Let's Adobe toge

Additional Information

Product Security Engineer - Devsecops


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