Computer Scientist 2

Adobe · Noida

Source and collection record

Last observed by our collector: 8 October 2026 at 11:01 pm IST. This is not a manual review or a confirmation from the employer.

Employer requisition: R172248

Job type and experience labels are automated discovery categories. The employer determines eligibility. Original experience wording was not retained separately; check the current employer page.

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Collected role description

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. 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. 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. 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’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.

Collected experience requirement

6-8 years