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Sr. DevOps Engineer

2 weeks ago

Ahmedabad, Gujarat, India Technostacks Full time US$ 90,000 - US$ 1,20,000 per year

Job Description – DevOps Engineer

We are seeking a highly skilled
DevOps Engineer
to join our dynamic team. The ideal candidate will have strong expertise in automation, cloud infrastructure (with a focus on AWS and GenAI services), CI/CD, and containerization, along with a deep understanding of security best practices, monitoring, and system optimization. This role requires a balance of technical proficiency, problem-solving, and collaboration skills to ensure smooth deployment, scalability, and reliability of applications and infrastructure.

Key Responsibilities

  • Design, automate, and manage scalable, secure, and high-availability cloud infrastructure.
  • Implement Infrastructure as Code (IaC) using tools like Terraform or CloudFormation.
  • Develop and maintain CI/CD pipelines with Jenkins, GitLab CI, CircleCI, or AWS CodePipeline.
  • Automate routine tasks using Python and shell scripting.
  • Monitor and optimize system performance using Prometheus, Grafana, ELK stack, or AWS CloudWatch.
  • Manage databases (MySQL, PostgreSQL, MongoDB, DynamoDB), including backup, recovery, and performance tuning.
  • Deploy and manage web applications on production environments with Nginx, Apache, or similar servers.
  • Ensure cloud, networking, and server security using IAM, VPC, security groups, and firewalls.
  • Manage source control and team collaboration using Git and branching strategies.
  • Work with containerization and orchestration technologies (Docker, Kubernetes, ECS).
  • Implement disaster recovery, backup, and high-availability strategies.
  • Troubleshoot incidents, perform root cause analysis, and implement preventive measures.
  • Collaborate with cross-functional teams, ensuring effective communication and documentation.

Required Skills & Experience

1. Automation & Infrastructure as Code (IaC)

  • Hands-on experience with Terraform, AWS CloudFormation, or similar.
  • Proficient in automating infrastructure deployment and management tasks.
  • Knowledge of configuration management tools (Ansible, Chef, Puppet).

2. Monitoring & Logging

  • Experience with monitoring tools (Prometheus, Grafana, ELK Stack, AWS CloudWatch).
  • Ability to set up alerts, dashboards, and audit logs for system health and performance.

3. Cloud Platforms (AWS – Must Have GenAI Services Experience)

  • Strong knowledge of AWS services: EC2, S3, RDS, Lambda, Bedrock, OpenSearch, Knowledgebase, IAM, VPC, CodeDeploy, CodePipeline, SQS, etc.
  • Familiar with cloud-native architectures and multi-cloud environments (a plus).

4. Scripting & Automation

  • Python:
    Scripting, automation, Boto3 for AWS, Flask/Django familiarity (bonus).
  • Shell scripting:
    Strong skills in bash or similar for deployment and system automation.

5. Database Management

  • Experience with MySQL, PostgreSQL, MongoDB, DynamoDB.
  • Backup, recovery, performance tuning, and database security best practices.

6. Web Application Deployment & Server Management

  • Experience with production deployments, web/application servers (Nginx, Apache).
  • Knowledge of reverse proxies, SSL/TLS setup, and security hardening.

7. Security & Networking

  • Cloud security best practices, IAM management, firewalls, and VPC configurations.
  • Strong understanding of TCP/IP, DNS, HTTP/HTTPS, and load balancer setups.

8. CI/CD & Version Control

  • Proficient in Git workflows (GitFlow, trunk-based) for multi-team management.
  • Experience with CI/CD pipelines (Jenkins, GitLab CI, AWS Code Pipeline).
  • Knowledge of containerization (Docker) and orchestration (Kubernetes, ECS).

9. High Availability & Scaling

  • Load balancing strategies (AWS ELB, HAProxy), failover planning.
  • Auto-scaling in cloud platforms and performance optimization.

10. Backup, Recovery & Incident Response

  • Implementation of disaster recovery, redundancy strategies, and system resilience.
  • Troubleshooting, root cause analysis, and preventive measures.

11. Collaboration & Project Management

  • Strong communication and documentation skills.
  • Ability to collaborate across teams and explain technical concepts to non-technical stakeholders.
  • Familiarity with Agile methodologies (Scrum, Kanban) and tools (Jira, Trello) is a plus.

Preferred/Optional Skills

  • Dockerfile and Docker Compose creation for multi-container applications.
  • Serverless architecture with AWS Lambda, SQS, SNS.
  • Project management and task prioritization.