Job Summary
We are looking for a highly skilled DevOps Engineer to join our team. The ideal candidate will be responsible for designing, implementing, and managing CI/CD pipelines, automating infrastructure, and ensuring the reliability and scalability of our applications. You will work closely with developers, IT operations, and security teams to bridge the gap between software development and deployment.
Key Responsibilities
- CI/CD Implementation: Design, build, and maintain Continuous Integration and Continuous Deployment (CI/CD) pipelines.
- Infrastructure as Code (IaC): Automate infrastructure provisioning using tools like Terraform, Ansible, or CloudFormation.
- Cloud & Server Management: Deploy, manage, and optimize cloud-based and on-premises infrastructure (AWS, Azure, GCP).
- Containerization & Orchestration: Work with Docker and Kubernetes for containerized applications and microservices.
- Monitoring & Logging: Implement monitoring, logging, and alerting solutions using tools like Prometheus, Grafana, ELK Stack, or Datadog.
- Security & Compliance: Ensure security best practices and compliance standards in DevOps processes.
- Collaboration & Troubleshooting: Work closely with development teams to identify and fix issues in a fast-paced environment.
- Performance Optimization: Optimize application performance through efficient resource allocation and scaling strategies.
Skills & Qualifications
- Education: Bachelor’s/Master’s degree in Computer Science, IT, or a related field.
- Experience: [Specify years] of experience in DevOps, SRE, or Cloud Engineering.
- Technical Skills:
- Experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI, CircleCI).
- Strong knowledge of Infrastructure as Code (Terraform, Ansible, CloudFormation).
- Expertise in cloud platforms (AWS, Azure, GCP).
- Proficiency in containerization and orchestration (Docker, Kubernetes).
- Familiarity with scripting and automation (Python, Bash, Shell, PowerShell).
- Hands-on experience with monitoring/logging tools (Prometheus, ELK Stack, Datadog).
- Understanding of networking, security, and system administration.
- Soft Skills:
- Strong problem-solving and analytical skills.
- Excellent communication and teamwork.
- Ability to work in a fast-paced, agile environment.
Preferred Qualifications
Knowledge of database management and automation.
Certification in AWS, Azure, or Kubernetes (CKA, AWS Certified DevOps Engineer, etc.).
Experience with serverless architectures and microservices.
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