JOB LEVEL
P50
EMPLOYEE ROLE
Individual Contributor

** About the Team**

The Photoshop CI/CD Infrastructure team owns the build, test, and release pipeline that ships one of Adobe's most iconic products across Windows, macOS, iOS, Android and Web. We operate Photoshop's CI/CD pipelines and infrastructure at a significant scale - thousands of builds per day, hundreds of engineers as customers - running across on-premises Apple Macintosh hardware and AWS cloud infrastructure. We are actively evolving our platform to incorporate automation that reduces toil, accelerates developer feedback loops, and allows the group to focus on higher-leverage work. We are building toward an AI Factory model - where intelligent automation handles routine operational decisions and the team focuses on problems that genuinely require human judgment.

About the Role

We are looking for a senior Software Developer to own and advance our CI/CD and AI Factory automation infrastructure. This is a self-directed, high-ownership role built around extensive solution design and end-to-end implementation - you will architect systems from first principles, drive them through design review, and own their delivery and operation in production. A core mandate of this role is to use automation to reduce the reactive support burden on the team. This includes building systems that triage failures, predict flakiness, auto-remediate known issues, and provide insights without human help. You will establish the AI Factory automation patterns and infrastructure that permit the team to prioritize strategic improvements and non-automatable maintenance. As a senior engineer, you will influence across teams, lead technical reviews, mentor peers, and make architectural decisions with lasting impact on how Photoshop engineers build and ship software.

What You'll Own

• Build and implement comprehensive solutions by architecting, documenting, reviewing, and delivering complex infrastructure systems end-to-end. Own the full lifecycle from problem definition through production operation, not just individual features or components.

• AI Factory automation platform - compose and construct the intelligent automation layer on our continuous integration and delivery environment. Integrate LLM capabilities to auto-diagnose failures, classify root causes, generate remediation suggestions, and surface actionable signals. Replace manual log triage with self-healing pipeline components, including flaky test detection, predictive build health, and automated failure classification.

• AWS infrastructure - design and operate cloud-based CI capacity on AWS, including Mac EC2 instances, Auto Scaling groups, EBS volumes, caching, cost optimization strategies, and hybrid on-premises/cloud orchestration

• Architectural decisions for pipeline infrastructure and toolchain evolution across all supported platforms

• Code standards and patterns for our pipeline tooling codebase (GO Lang, Python, Groovy)- establishing practices that improve consistency and long-term maintainability across the team

• Lead code and design reviews, providing constructive criticism grounded in system-level thinking and production experience

• Identify and eliminate toil - proactively find recurring manual work and build automation that removes it permanently, measurably reducing on-call and support burden for the team

• Mentor peers on CI/CD best practices, AI-assisted automation patterns, AWS infrastructure, and macOS platform specifics

• Cross-team influence - represent the CI/CD team in conversations with platform, security, and product engineering stakeholders; drive AI Factory and cloud infrastructure best practices beyond the Photoshop team to the broader Adobe engineering community

What You Bring

Required

• 10+ years of software development experience with deep focus on CI/CD, build systems, or developer infrastructure platforms
• Demonstrated self-direction and solution ownership: a proven track record of designing complex systems from scratch, driving them through review, and delivering them in production - end-to-end
• Broad solution development experience - comfortable producing architecture documents, leading development reviews, articulating trade-offs, and building consensus across collaborators before writing a line of code
• AWS - hands-on experience crafting and operating continuous integration and delivery systems on AWS; familiarity with EC2 (including Mac instances), IAM, S3, Auto Scaling, VPC, and cost management
• AI/ML integration experience - practical experience applying AI tools to automate operational decisions such as failure classification, anomaly detection, or intelligent alerting and self-remediation
• Proficiency in Python and GO/Shell for production tooling
• Deep experience with multi-platform build systems (Windows and macOS required; iOS and/or Android a plus)
• Proven ability to establish norms and models that improve team-wide consistency and reduce recurring issues
• Experience mentoring engineers and growing technical capability in others
• Strong debugging instincts across complex, multi-system failures

Preferred

• Experience building AI-driven developer tooling - intelligent triage systems, auto-remediation bots, copilots, or similar
• Familiarity with observability platforms (Splunk, Grafana, CloudWatch, or similar) and using telemetry data to train or prompt AI automation
• Strong understanding of Xcode, the Apple build toolchain, Universal Binary compilation, code signing and notarization
• Knowledge of CI/CD security practices - secrets management, infrastructure hardening, threat modeling

Expected Pay Range:
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this positionis $159,200 -- $301,600 annually. Paywithin this range varies by work locationand may also depend on job-related knowledge, skills,and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.

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In California, the pay range for this position is $208,300 - $301,600 │ In New York, the pay range for this position is $208,300 - $301,600 │ In Washington, the pay range for this position is $190,200 - $275,400

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.

Internal Opportunities

Creativity, curiosity, and constant learning are celebrated aspects of your career growth journey. We’re glad that you’re pursuing a new opportunity at Adobe!

Put your best foot forward:

1. Update your Resume/CV and Workday profile - don’t forget to include your uniquely ‘Adobe’ experiences and volunteer work.

2. Visit the Internal Mobility page on Inside Adobe to learn more about the process and set up a job alert for roles you’re interested in.

3. Check out these tips to help you prep for interviews.

4. If you are applying for a role outside of your current country, ensure you review the International Resources for Relocating Employees on Inside Adobe, including the impacts to your Benefits, AIP, Equity & Payroll .

Once you apply for a role via Workday, the Talent Team will reach out to you within 2 weeks. If you move into the official interview process with the hiring team, make sure you inform your manager so they can champion your career growth.

At Adobe, you will be immersed in an exceptional work environment that is recognized around the world. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.

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.

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