Computer Scientist 2

What you’ll do

• Own the cloud infrastructure and Kubernetes platform that hosts services end-to-end — provision, upgrade, and operate multi-cloud (AWS + Azure) clusters.
• Build and maintain infrastructure-as-code — Helm charts, ARM/CloudFormation templates, cloud-init, and Python automation for cluster creation, CNI, node scaling, machine health checks, and workload identity.
• Bake and harden machine images using Packer + Ansible for Linux and Windows, validate them with automated image tests (goss), and manage the container image supply chain.
• Run observability and alerting — Prometheus/Grafana, Splunk (OTel collectors, saved searches/alerts)
• Lead production support and on-call — triage incidents, perform RCA, remediate issues and manage node/pod health, capacity, and autoscaling.
• Design and operate CI/CD and release pipelines using Jenkins and deployment pipelines.
• Deploy, monitor, and troubleshoot platform services — Spring Boot services, node agents, and containerised engine workloads — across Kubernetes and clouds.
• Optimize scalability, cost, and security — right-size clusters, tune autoscaling/workload placement, enforce network policies and admission control.
• Python/Shell scripting to develop and maintain platform code.
• Participate in code/infra reviews, cross-functional collaboration, and mentor junior engineers.

What you need to succeed

• 6–8 years in software/platform engineering with strong DevOps / SRE / infrastructure focus and end-to-end production ownership.
• Deep hands-on Kubernetes experience — Cluster API / kubeadm, Helm, networking/CNI (Calico), autoscaling, and Linux/Windows node/container workloads.
• Strong hands-on AWS and/or Azure experience across compute, storage, networking, identity/IAM, and managed services; multi-cloud is a strong plus.
• Infrastructure-as-code and automation proficiency — Helm, ARM/CloudFormation/Terraform, Packer + Ansible + Python
• Proven production-operations experience — monitoring, logging, alerting, and incident response using Prometheus, Grafana, Splunk/OTel, with on-call ownership.
• CI/CD experience with Jenkins, GitLab CI, Azure DevOps, or GitHub Actions, including staged releases, rollbacks, and change management.
• Database operations experience across relational/NoSQL databases such as PostgreSQL/SQL Server, Cosmos DB/DynamoDB/MongoDB, and Redis.
• Python/Shell scripting to develop and maintain platform code.
• Application and platform security fundamentals — OWASP, Vault/CyberArk, IAM/least-privilege, network policy, OAuth2/OIDC/SAML.
• Messaging/micro-services familiarity with Kafka, RabbitMQ, SQS/Service Bus, and event-driven operations.
• Git proficiency, Agile/Scrum experience, excellent communication, and cross-functional/cross-time-zone collaboration.
• Fluency with AI coding assistants and agentic development/ops tooling to accelerate delivery and operations.

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours. 

At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.

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At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.