Senior Software Development Engineer - Developer Productivity

Senior Software Developer

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