About the Role

We are looking for a hands-on DevOps Engineer to join Adobe's Security Engineering team. The role involves managing highly available production environments, automating infrastructure and operational processes, troubleshooting complex application and infrastructure issues, and supporting cloud modernization initiatives.

A key focus of this role is to migrate a custom AI application to the cloud and re-architect it to reliably handle production-scale traffic.

Key Responsibilities

- Migrate a custom AI application end-to-end to cloud infrastructure and re-architect it for production-scale traffic.
- Design and implement autoscaling, load balancing, and high-availability architectures for bursty traffic.
- Troubleshoot complex application and infrastructure issues in production environments.
- Perform hands-on Linux/system administration and application administration.
- Automate recurring administrative and operational tasks.
- Build and maintain CI/CD pipelines for application build and release automation.
- Manage containerized applications using Docker and Kubernetes.
- Provision and manage infrastructure using Terraform or equivalent Infrastructure as Code tools.
- Monitor and troubleshoot production environments using observability and monitoring tools.
- Support high-priority production issues and participate in on-call, after-hours, and weekend support as required.
- Create and maintain technical documentation, procedures,



standards, and troubleshooting guides.
- Work closely with engineering and operations teams to investigate, reproduce, escalate, and resolve complex issues.

Mandatory Skills
- 3+ years of hands-on DevOps experience in production environments
- Docker & Kubernetes
- CI/CD – Jenkins or equivalent
- Terraform / Infrastructure as Code
- Linux administration and troubleshooting
- Production monitoring & observability – Prometheus, Datadog, New Relic, Splunk, Sumo Logic, or similar
- Configuration management – Chef or equivalent
- Experience with cloud migration
- Experience designing autoscaling, load balancing, and highly available systems

Good to Have

- Experience working with AI/ML workloads
- Experience migrating or productionizing AI/GenAI applications
- Experience working directly with internal customers/stakeholders
- Strong DevOps/SRE mindset
- Ability to learn new technologies quickly
- Strong troubleshooting and problem-solving skills
- Positive written and verbal communication
- Ability to independently drive DevOps initiatives

Pay: ₹1,200,000.00 - ₹1,500,000.00 per year

Benefits

- Health insurance
- Provident Fund

Application Question(s):
- Are you comfortable with 12 months of contractual role ?
- What is your current CTC ?
- What is your expected CTC ?
- What is your notice period ?

Work Location: In person

📌 Senior DevOps Engineer (Noida)
🏢 S. A. Solution
📍 Noida