Senior Software Development Engineer - Developer Productivity

Adobe•San Jose, CA

1d•$159,200 - $301,600•Hybrid

About The Position

The Photoshop CI/CD Infrastructure team is seeking a Senior Software Developer to own and advance their CI/CD and AI Factory automation infrastructure. This role involves extensive solution design and end-to-end implementation, including architecting systems, driving them through design review, and owning their delivery and operation in production. A key focus is using automation to reduce reactive support, build systems that triage failures, predict flakiness, auto-remediate issues, and provide insights without human intervention. The role also involves establishing AI Factory automation patterns and infrastructure to allow the team to focus on strategic improvements. As a senior engineer, you will influence across teams, lead technical reviews, mentor peers, and make architectural decisions impacting how Photoshop engineers build and ship software.

Requirements

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.

Nice To Haves

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.

Responsibilities

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.
Develop the AI Factory automation platform, composing and constructing 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.
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.
Make architectural decisions for pipeline infrastructure and toolchain evolution across all supported platforms.
Define 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.
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.