Sr. Staff Software Development Engineer

The Opportunity

Join Adobe as a Senior Staff Engineer and play a critical role in building and evolving the engineering platforms that power Adobe products such as Adobe Express. This role sits at the intersection of software engineering, site reliability engineering, and AI-powered platform innovation, with a focus on enabling safe, scalable, and efficient software delivery at enterprise scale.

You will work on foundational systems that support multi-tenant, multi-region cloud services used by millions of customers worldwide. As a senior technical leader, you will drive reliability, automation, and AI-enabled engineering productivity, helping shape how Adobe builds, deploys, and operates modern software systems.

What You'll Do

• Design, build, and evolve highly reliable software systems and platforms that support large-scale, distributed services.

• Architect and implement AI-powered automation systems that enhance cloud infrastructure and software delivery workflows, including intelligent orchestration of LLMs, tools, APIs, and internal data sources.

• Configure and manage services running on Kubernetes-based platforms, partnering with platform teams on application configuration, deployment, and operational correctness.

• Lead the development of GitOps-based workflows, CI/CD systems, and deployment automation to improve consistency, safety, and velocity across engineering teams.

• Build and maintain infrastructure-as-code using tools such as Terraform to provision and manage cloud resources on AWS (e.g., CloudFront, S3, and related services).

• Apply SRE principles to the design and operation of software systems, emphasizing reliability, scalability, risk management, and operational efficiency through sound engineering practices and automation.

• Balance near-term engineering needs with longer-term platform investments, delivering incremental improvements with durable impact.

What You Need to Succeed

• A degree in Computer Science, Engineering, or equivalent practical experience.

• 10+ years of professional software engineering experience, including significant experience building and operating distributed, cloud-native systems at scale.

• Hands-on and extensive experience working with Kubernetes-based platforms.

• Strong understanding and practical use of LLMs and AI systems in production environments.

• Proven ability to design reliable, scalable, and secure AI-enabled production workflows that connect models, runtime constraints, and engineering use cases into cohesive architectures.

• Strong programming skills in one or more languages commonly used in platform engineering (e.g., Typescript, Go, Java, Python, or similar).

• Excellent cross-functional communication skills and the ability to influence architectural direction through technical leadership.

Preferred Qualifications

• Experience architecting or contributing to AI assistants, copilots, or agentic platforms used in production environments.

• Hands-on experience designing agent-based systems, including multi-step reasoning workflows, tool invocation, memory persistence, and state management.

• Familiarity with tool-augmented LLM systems, retrieval-augmented generation (RAG) architectures, vector databases, and contextual memory stores.

• Contributions to open-source AI frameworks, technical publications, or internal AI platform initiatives.

What Sets You Apart

• You have strong systems thinking, with the ability to connect distributed architectures, cloud infrastructure, and AI-enabled automation into cohesive, production-ready solutions.

• You adopt a pragmatic approach to AI integration, balancing innovation with reliability, security, governance, and operational discipline.

• You demonstrate the ability to design intelligent automation systems that measurably improve engineering productivity, delivery velocity, and operational stability.

• You have a deep understanding of production system behavior, including scalability limits, failure modes, observability patterns, and risk mitigation strategies.

• You hold a track record of influencing architectural direction across engineering teams and mentoring others in reliability, platform design, and modern AI-enabled engineering practices.

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe's 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 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We're 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.

Let's 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.

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.

Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.

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 it's restricted during live interviews. See how we think about AI in the hiring experience.

Expected Pay Range:

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

State-Specific Notices:

California:

Fair Chance Ordinances

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.

Colorado:

Application Window Notice

If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

Massachusetts:

Massachusetts Legal Notice

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.