DevOps Engineer / Infrastructure Support

ThinkDigits, Inc.; Hyderabad; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

ThinkDigits, Inc. is seeking an experienced DevOps Engineer to manage end-to-end cloud infrastructure, CI/CD automation, deployment, and monitoring for digital dashboards and AI-powered apps.

The role requires 3-6 years in DevOps/Cloud, in-person at Madhapur, Hyderabad (Mon-Fri, 5 days in office). You will ensure high availability, security, and continuous delivery across dev, staging, and production environments.

Qualifications

• 3-6 years IT experience with strong DevOps/cloud automation.
• In-depth experience deploying production-grade infra and dashboards.
• Experience with AI/ML model deployment or data pipelines is a plus.

Responsibilities

• Design, implement, and maintain CI/CD pipelines across multiple stacks.
• Manage cloud infrastructure (AWS/Azure/GCP) and IaC tooling.
• Implement monitoring, alerting, and incident management to ensure 99%+ uptime.
• Collaborate with data, backend, and AI/ML teams for deployment pipelines.
• Ensure security, backups, and disaster recovery planning.

Skills

CI/CD & Automation

Cloud Platforms

Containerization

Infrastructure as Code

Monitoring & Logging

Version Control

Scripting

Networking & Security

Database & Storage

OS & Deployment

Education

Bachelor's/Master's in CS or IT

Tools

Jenkins

GitHub Actions

GitLab CI

Azure DevOps

ArgoCD

AWS

Azure

GCP

Docker

Kubernetes

Helm

Terraform

Ansible

CloudFormation

Grafana

Prometheus

ELK

CloudWatch

Azure Monitor

Git

Bash

Python

Job description

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

Role Summary

The DevOps Engineer willbe responsible forend-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.

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 andmaintainsystems on AWS / Azure / GCP (depending on organization stack).
  • Configurecompute, 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 resourceutilization, data pipeline failures, or servicedowntime.
  • 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,firewallrules, 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, environmentdetails.
  • Support Dev - QA - UAT - Prod migrations with minimal downtime.

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

Qualifications

• Bachelor’s orMaster’sdegree 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 andmaintaining production-grade systems.
• Experience with AI/ML model deployment or data pipeline integration is a plus.

Soft Skills

• Strong analytical and problem-solving mindset.
• Good communicationand 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.

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.

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