Senior Software Development Engineer - Developer Productivity

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.

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

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 position is $159,200 – $301,600 annually. Pay within this range varies by work location and 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.

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.

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

Equal Employment Opportunity

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 or call .

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