About the Role
We are looking for a Product Security Engineer 4 (P40) to design build and own software across our security platform. You will develop and maintain the systems that power inventory collection and enrichment cloud data storage and orchestration distributed scanning infrastructure and the applications and integrations that consume and present security data.
You will work as a strong software engineer in the product security space: writing and reviewing code (Python JavaScript/React Java/C) designing APIs and data pipelines and improving the reliability scalability and maintainability of our platform. You will collaborate with product infrastructure and other engineering teams to ship features and evolve our architecture.
Software Architecture & Design
Define and evolve the technical architecture for platform components: data pipelines cloud services orchestration layer and dependent applications.
Design scalable observable systems with clear boundaries robust error handling and operational visibility (logging metrics tracing).
Participate in design reviews and technical deep dives; influence choices around data models APIs and integration patterns across teams.
Design and implement platform components with secure-by-default principles including strong input validation trust boundary enforcement and safe handling of user-controlled data.
Consider attacker misuse cases during implementation and reviews.
Development & Engineering
Backend and automation Build and maintain Python services scripts and automation that power inventory collection data processing and scanning workflows; integrate with internal and third-party APIs.
APIs and integrations Design and implement REST APIs webhooks and integration points; ensure clear contracts versioning and reliable error handling.
Frontend and tooling Contribute to or own React-based UIs and internal tools that visualize and manage security data; ensure responsive maintainable code.
Cloud and data Work with Azure (or similar) services: SQL databases blob storage virtual networks and compute; write efficient queries and data access patterns.
CI/CD and quality Improve build test and deployment pipelines; advocate for automated testing code review and dependency management.
Reliability & Operations
Improve reliability and operability of platform services: health checks graceful degradation retries and runbooks.
Triage and debug production issues; contribute to incident response and post-incident follow-up when services you own are affected.
Partner with infrastructure and SRE teams on capacity performance and cost for the systems you build.
Cross-Functional Collaboration & Mentorship
Collaborate with product managers designers and other engineers to scope features clarify requirements and deliver on roadmap priorities.
Mentor and support other engineers through code review pair programming and sharing best practices.
Communicate technical decisions clearly to both technical and non-technical stakeholders.
Qualifications
Bachelors or Masters degree in Computer Science Engineering or a related field (or equivalent experience).
8 years of experience in software development with substantial work on backend systems APIs or full-stack applications in cloud-native or distributed environments.
Strong proficiency in Python (services scripts automation) and comfort with JavaScript/React for frontend or tooling; ability to write clean maintainable code and thorough tests.
Proven experience designing and operating systems on Azure (or AWS/GCP): relational databases blob/object storage virtual networks and compute.
Solid understanding of API design (REST webhooks) data modeling and network fundamentals (HTTP auth firewalls SSH where relevant to your services).
Experience driving technical design and code quality (reviews testing refactoring) within a team or across teams.
Strong communication collaboration and prioritization skills; ability to work independently and deliver in a fast-paced environment.
Preferred Qualifications
Experience building or operating orchestration and worker systems (task queues distributed jobs masterworker patterns).
Hands-on experience with data pipelines scheduled jobs or integration with external APIs (e.g. DNS inventory or recon data sources).
Familiarity with modern web frameworks (FastAPI Flask Express) and search/analytics backends (e.g. Elasticsearch) in production.
Experience in product security application security or security tooling as the domain you build software for.
Cloud certifications (e.g. Azure AWS) or equivalent depth.
Open-source contributions or technical blog posts on software design APIs or distributed systems.
Experience building or integrating systems using LangGraph or comparable agentic AI orchestration frameworks is a plus.
About Adobe
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity productivity and personalized customer experiences. Adobes industry-leading offerings including Adobe Acrobat Studio Adobe Express Adobe Firefly Creative Cloud Adobe Experience Platform Adobe Experience Manager and GenStudio enable people and businesses to turn ideas into impact powered by AI and driven by human ingenuity.
Our 30000 employees worldwide are creating the future and raising the bar as we drive the next decade of growth. Were on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
Lets Adobe together
At Adobe we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life including our values and culture focus on people purpose and community Adobe for All comprehensive benefits programs the stories we tell the customers we serve and how you can help us advance our mission of empowering everyone to create.
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AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work your application may not move forward in the process.
At Adobe we empower employees to innovate with AI and we look for candidates eager to do the same. As part of the hiring experience we provide clear guidance on where AI is encouraged during the process and where its restricted during live interviews. See how we think about AI in the hiring experience.
Required Experience:
IC