About the job
Join our team as a Senior Software Engineer and help shape the future of developer productivity at Adobe. Drive innovation by building AI-powered tooling, scalable platforms, and high-perf
Responsibilities
Design and implement AI-powered developer productivity solutions and workflows that improve developer onboarding, development, code review, testing, debugging, incident triage, documentation, code quality, and engineering velocity.
Build and enhance large-scale developer platforms, including Bazel-based build systems, CI/CD pipelines, test automation frameworks, and engineering productivity tooling.
Partner with product engineering teams to understand developer pain points, identify productivity bottlenecks, and deliver solutions that improve developer experience, engineering efficiency, and platform reliability.
Develop high-performance, reliable, well-tested, and well-documented platform and infrastructure code that enables Adobe engineers to build, test, and deploy applications at scale.
Mentor engineers, contribute to engineering best practices, and foster a collaborative environment focused on continuous learning and innovation.
Qualifications
Minimum
5+ years of software engineering experience building scalable applications, developer platforms, tooling, or infrastructure.
Demonstrated experience building, integrating, or operating AI-powered systems that improve software engineering workflows, including developer tooling, code review, testing, debugging, CI/CD automation, incident triage, or other engineering productivity use cases.
Experience working in large-scale monorepo environments, including build systems, dependency management, developer tooling, CI/CD workflows, and engineering productivity challenges at scale.
Strong software engineering fundamentals, including system design, data structures, algorithms, debugging, performance optimization, and reliability engineering.
Experience working in large-scale engineering environments and collaborating across teams to deliver technical solutions.
Strong communication, collaboration, and mentoring skills, with the ability to influence technical decisions and drive initiatives forward.
Preferred
Experience building AI-powered developer productivity solutions such as intelligent code review, CI/CD triage, test generation, debugging assistants, engineering copilots, workflow automation, or other AI-enabled engineering tools.
Experience with agentic AI systems, AI orchestration frameworks, evaluation methodologies, and techniques for improving the reliability and effectiveness of AI-assisted engineering workflows.
Deep experience with Bazel, including build optimization, dependency management, remote caching, custom build tooling, and developer workflow automation.
Experience developing developer tooling and automation using TypeScript, JavaScript, Python, Go, Java, or C++.
Experience with CI/CD platforms, build orchestration, merge queues, flaky test detection, release automation, and engineering productivity tooling.
Experience with Kubernetes, Terraform, cloud infrastructure, and platform automation.
Familiarity with observability and operational tooling, including OpenTelemetry, Grafana, Splunk, or similar technologies.
Experience measuring and improving developer productivity through metrics-driven DevEx initiatives.