Solution Architect

About Adobe

Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.

We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

The Opportunity

Join Adobe as a Solution Architect dedicated to driving complex cost and performance engineering initiatives across our AWS and Azure environments. This role is hands-on and outcomes-focused — you will architect solutions, influence product engineering teams, and personally help build what’s needed to get results.

You will work closely with product teams to comprehend their systems, highlight inefficiencies, and compose scalable advancements. You’ll develop automation, data pipelines, and backend components that facilitate optimization insights and preserve architectural standards. Proficiency with large datasets and a fascination with implementing AI-enhanced tools is highly valuable.

This is an outstanding chance to blend architecture leadership, software engineering, and consultative delivery to develop the future of cloud efficiency at Adobe!

What You’ll Do:

• Collaborate with teams to assess architectures, identify inefficiencies, and implement solutions that enhance performance, reliability, and cost efficiency.
• Lead optimization projects, including container tuning, storage improvements, architecture simplification, and automation workflows to scale improvements across teams.
• Develop reference architectures, proof-of-concepts, and tools to demonstrate best practices, while contributing hands-on with scripts, prototypes, and Infrastructure-as-Code (IaC) modules.
• Conduct architecture reviews, provide actionable guidance on design tradeoffs, risks, and cost-aware solutions, and promote best practices in engineering workflows using GitHub and CI/CD patterns.
• Integrate AI-assisted tools and techniques to enable smarter optimization, anomaly detection, and automated remediation, while establishing standards for tagging, observability, and governance.

What You Need To Succeed

• B.S. in Computer Science, Engineering, or equivalent work experience and 3+ years in software engineering or cloud engineering roles, ideally with architecture responsibilities.
• A consultative mindset with excellent communication, problem-solving, and collaboration skills to navigate ambiguity and empower teams.
• Strong technical expertise in Python, with working knowledge of Java/JavaScript, and adaptability to learn new tools and languages.
• Hands-on experience with modern cloud architectures, distributed systems, and optimization on AWS and/or Azure, focusing on reliability, performance, and cost efficiency.
• Proficiency in SDLC standards, including GitHub workflows, CI/CD, and reusable modules, ability to coach teams and contribute directly.
• Deep knowledge of containers, Kubernetes, and orchestration platforms, with a consultative approach to scaling, resource optimization, and decision-making.
• Familiarity with cloud security, networking, and scalability principles, and the ability to guide teams through risks, mitigations, and architectural impacts.
• Experience with Infrastructure-as-Code frameworks (e.g., Terraform) and a collaborative approach to implementing reusable workflows and guardrails.
• Strong analytical skills with SQL/NoSQL for cloud, cost, and performance data, transforming insights into actionable recommendations.
• Comfort with AI-assisted engineering tools and curiosity about emerging AI techniques to enhance automation and developer productivity.

Key skills/competency

• Cloud Architecture
• AWS & Azure
• Python Programming
• Kubernetes & Containers
• Infrastructure-as-Code (Terraform)
• CI/CD & GitHub
• Performance Optimization
• Data Pipelines
• SQL/NoSQL
• AI-assisted Engineering