DevOps Engineer / Infrastructure Support

Location: Madhapur, Hyderabad (In-Person) Schedule: Monday – Friday (5 Days In-Office)

Experience Level: 3–6 Years (Minimum 3 Years Pure DevOps Experience)

Reports To: Technical Lead / Project Delivery Manager

Department: Digital Transformation / IT Infrastructure

1️****⃣ Role Summary

The DevOps Engineer will be responsible for end-to-end cloud infrastructure management, CI/CD automation, deployment, and system monitoring for digital dashboards and AI-powered web applications.

This role ensures high availability, scalability, security, and continuous delivery of production systems across development, staging, and live environments.

2️****⃣ Key Responsibilities

A. CI/CD Pipeline & Automation

• Design, implement, and maintain CI/CD pipelines using tools such as GitHub Actions, Jenkins, GitLab CI, or Azure DevOps.

• Automate application builds, testing, containerization, and deployments.

• Manage versioning, tagging, and rollback strategies.

• Implement automated health checks and deployment validations.

B. Cloud Infrastructure Management

• Deploy and maintain systems on AWS / Azure / GCP (depending on organization stack).

• Configure compute, networking, and storage services (EC2/VMs, VPC, S3/Blob, Load Balancers).

• Set up scalable environments for Web, API, Database, and AI microservices.

• Implement Infrastructure as Code (IaC) using Terraform, Ansible, or CloudFormation.

C. Monitoring & Incident Management

• Implement system and application monitoring using Grafana, Prometheus, CloudWatch, or Azure Monitor.

• Set up alerting systems for resource utilization, data pipeline failures, or service downtime.

• Perform root-cause analysis and corrective actions for incidents.

• Maintain uptime >99% for production dashboards.

D. Security & Compliance

• Enforce cloud security best practices — identity management (IAM roles), key rotation, and access controls.

• Manage SSL certificates, firewall rules, and API security.

• Regular backup and disaster recovery verification.

• Support audit and compliance requirements (ISO, SOC2, etc., if applicable).

E. Support & Collaboration

• Work closely with data engineers, backend developers, and AI/ML engineers to deploy models and pipelines seamlessly.

• Provide infra-level support for smart dashboards, APIs, and databases.

• Document deployment procedures, recovery steps, and environment details.

• Support Dev QA UAT Prod migrations with minimal downtime.

3️****⃣ Required Technical Skills

Category

Technologies / Tools

CI/CD & Automation

Jenkins, GitHub Actions, GitLab CI, Azure DevOps, ArgoCD

Cloud Platforms

AWS (EC2, S3, Lambda, EKS), Azure (VMs, Blob, AKS), or GCP equivalent

Containerization

Docker, Kubernetes, Helm

Infrastructure as Code

Terraform, Ansible, CloudFormation

Monitoring & Logging

Grafana, Prometheus, ELK Stack, CloudWatch, Azure Monitor

Version Control

Git, GitHub, GitLab

Scripting

Bash, Python (for automation)

Networking & Security

VPC, VPN, Load Balancer, SSL, IAM, Firewalls

Database & Storage

PostgreSQL, MySQL, Redis, S3, Azure Blob, or similar

OS & Deployment

Linux-based deployment, Nginx, Apache, or reverse proxy setup

4️****⃣ Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or equivalent.

• 3–6 years total experience in IT, minimum 3 years in DevOps / Cloud / Infra Automation.

• Hands-on experience deploying and maintaining production-grade systems.

• Experience with AI/ML model deployment or data pipeline integration is a plus.

5️****⃣ Soft Skills

• Strong analytical and problem-solving mindset.

• Good communication and collaboration skills across cross-functional teams.

• Proactive attitude towards automation and reliability.

• Comfortable working in agile / sprint-based environments.

• Ability to document, train, and support junior members when needed.

6️****⃣ Optional / Preferred Experience

• Exposure to DataOps or MLOps practices (MLflow, DVC, etc.).

• Experience in hybrid environments (on-prem + cloud).

• Familiarity with Grafana dashboards for executive-level monitoring.

• Understanding of industrial IoT or plant automation environments is an added advantage.

7️****⃣ KPIs / Performance Indicators

• Deployment success rate >95%

• Mean time to recover (MTTR) <30 mins

• Cloud cost optimization (target ±10% vs budget)

Uptime SLA

• 99%

Average incident response time <15 mins

Job Category: DevOps & Cloud Engineering

Job Type: Full Time