Requirements

Python: Proficient, with extensive experience in production environments.
Bazel: Beginner to intermediate understanding of build systems and Bazel workflows.
Docker: Advanced knowledge of containerization, image optimization, and protocols.
Kubernetes (K8s): Medium to advanced experience in deploying, scaling, and managing workloads.
Development Patterns: Advanced understanding of design patterns, clean architecture, and software engineering principles.
Algorithms: Good grasp of core software engineering algorithms and ability to apply them to practical problems.
Strong problem-solving abilities with a focus on delivering scalable solutions.
Experience working in multicultural teams and hybrid work environments.
Ability to communicate complex technical ideas clearly to both technical and non-technical audiences.
A proactive attitude, ownership of work, and willingness to mentor peers.

What you'll be doing

Design, build, and maintain components of ML platforms with a focus on scalability, reliability, and performance.
Develop high-quality, production-grade software using Python.
Contribute to build and release pipelines using Bazel.
Containerize and orchestrate applications with Docker and Kubernetes.
Apply advanced software development patterns to ensure clean, maintainable, and reusable code.
Optimize algorithms and workflows for performance and cost efficiency.
Collaborate with global teams, contributing to technical design reviews, architecture discussions, and code reviews.
Mentor junior engineers and help shape engineering culture and protocols.

A supportive work environment recognized worldwide.
Colleagues committed to helping each other grow through ongoing feedback.
Opportunities for career growth and internal mobility within Adobe.
Access to unique benefits and resources for employees.
Equal Employment Opportunity employer with a commitment to diversity and inclusion.