Software Development Engineer 4

Adobe; Dadri; On-site; INR 3,000,000 - 5,500,000; Full time

Job summary

Adobe seeks a senior Platform/DevOps engineer to own cloud infrastructure and Kubernetes platforms across AWS and Azure. You’ll build CI/CD pipelines, automate provisioning with IaC, and lead on-call production support while driving security and cost optimization.

You will mentor junior engineers, collaborate across time zones, and scale multi-cloud workloads with robust monitoring using Prometheus, Grafana, and Splunk. Join Adobe to enable scalable, reliable services.

Qualifications

• 6+ years in software/platform engineering with DevOps/SRE focus and production ownership
• Deep hands-on Kubernetes experience (Cluster API/kubeadm, Helm, Calico, autoscaling)
• Strong AWS and/or Azure experience across compute, storage, networking, IAM, and managed services
• IaC and automation proficiency (Helm, ARM/CloudFormation/Terraform, Packer + Ansible + Python)
• Experience with monitoring/logging/incident response (Prometheus, Grafana, Splunk/OTel)
• CI/CD experience with Jenkins, GitLab CI, Azure DevOps or GitHub Actions
• Database ops across relational/NoSQL (PostgreSQL, SQL Server, Cosmos DB, DynamoDB, MongoDB, Redis)
• Security fundamentals (IAM, network policy, OWASP, OAuth2/OIDC/SAML)
• Messaging/microservices familiarity (Kafka, RabbitMQ, SQS/Service Bus)
• Strong communication and cross-functional collaboration
• Familiarity with AI coding assistants and operator tooling

Responsibilities

• Own the cloud infrastructure and Kubernetes platform hosting services end-to-end
• Build and maintain infrastructure-as-code for cluster creation and scaling
• Harden images with Packer + Ansible and validate with image tests
• Run observability and alerting using Prometheus/Grafana and Splunk
• Lead production support and on-call, perform RCA and remediation
• Design and operate CI/CD pipelines using Jenkins and deployment workflows
• Deploy and troubleshoot platform services across Kubernetes and clouds
• Optimize scalability, cost, and security (auto-scaling, policies)
• Mentor junior engineers and participate in code/infra reviews

Skills

Kubernetes

DevOps

SRE

AWS

Azure

CI/CD

Python

Terraform

Packer/Ansible

Monitoring

Tools

Helm

ARM/CloudFormation

Terraform

Jenkins

GitLab CI

Azure DevOps

Prometheus

Grafana

Splunk

Docker

Job 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.
• 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’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.

About Adobe

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.

Let’s Adobe together

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.

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.

Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email [e-mail].

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Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

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