# Cloud Infrastructure Engineer

**Company**: Adobe
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://adobe.wd5.myworkdayjobs.com/en-US/external_experienced/job/Noida/Computer-Scientist-2_R172249?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_413ba64e-393

## Description

As a Cloud Infrastructure Engineer at Adobe, you will own the cloud infrastructure and Kubernetes platform that hosts services end-to-end , provision, upgrade, and operate multi-cloud (AWS + Azure) clusters.

Responsibilities:

- 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.

- Participate in code/infra reviews, cross-functional collaboration, and mentor junior engineers.

Requirements:

- 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 for developing and maintaining 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.

## Skills

### Required
- Kubernetes
- AWS
- Azure
- Helm
- ARM
- CloudFormation
- Packer
- Ansible
- Python
- Prometheus
- Grafana
- Splunk
- Jenkins
- GitLab CI
- Azure DevOps
- GitHub Actions
- PostgreSQL
- SQL Server
- Cosmos DB
- DynamoDB
- MongoDB
- Redis
- Kafka
- RabbitMQ
- SQS
- Service Bus
- OWASP
- Vault
- CyberArk
- IAM
- OAuth2
- OIDC
- SAML

---

Source: [Apply at adobe.wd5.myworkdayjobs.com](https://adobe.wd5.myworkdayjobs.com/en-US/external_experienced/job/Noida/Computer-Scientist-2_R172249?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)