- Design, implement, and maintain CI/CD pipelines to automate the deployment, scaling, and monitoring of our AIpowered applications.
- Architect, deploy, and manage cloud infrastructure on platforms such as AWS, Azure, or GCP, ensuring high availability, scalability, and security.
- Collaborate with software engineers to optimize application performance, troubleshoot issues, and implement solutions for continuous improvement.
- Implement and manage containerization technologies such as Docker and orchestration tools like Kubernetes for container deployment and orchestration.
- Monitor system performance, analyze trends, and implement proactive measures to optimize resource utilization and ensure reliability.
- Implement security best practices and compliance standards across infrastructure and applications, including access control, encryption, and vulnerability management.
- Participate in capacity planning, disaster recovery planning, and risk mitigation activities to ensure business continuity.
- Stay abreast of industry trends, emerging technologies, and best practices in DevOps, cloud computing, and automation.
- Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred.
- Minimum of 10 years of experience in DevOps, infrastructure automation, and cloud computing.
- Proven experience designing, implementing, and managing CI/CD pipelines using tools such as Jenkins, GitLab CI/CD, or CircleCI.
- Strong expertise in cloud platforms such as AWS, Azure, or GCP, including infrastructure as code (IaC) tools like Terraform or CloudFormation.
- Handson experience with containerization and orchestration technologies, particularly Docker and Kubernetes.
- Proficiency in scripting and automation using languages such as Python, Bash, or PowerShell.
- Indepth knowledge of Linux/Unix systems administration and networking fundamentals.
- Experience with monitoring and logging tools such as Prometheus, Grafana, ELK Stack, or Splunk.
- Excellent problemsolving skills, attention to detail, and ability to work independently as well as part of a team.
- Strong communication skills with the ability to effectively collaborate with crossfunctional teams and stakeholders.
- Certifications in relevant areas such as AWS Certified DevOps Engineer, Certified Kubernetes Administrator (CKA), or Certified Jenkins Engineer.
- Experience working in Agile/Scrum methodologies and familiarity with Atlassian tools (Jira, Confluence).
- Knowledge of AI and machine learning concepts, particularly in the context of deploying AIpowered applications.
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Description
Job Description :
Senior DevOps Engineer to join our dynamic team.
As a Senior DevOps Engineer at Leadin S aaS, you will play a crucial role in designing, implementing, and maintaining our robust and scalable infrastructure.
You will work closely with cross-functional teams to ensure the seamless integration of our AI-powered solutions, enhance system performance, and drive automation across the development and deployment lifecycle.
Responsibilities :Preferred Qualifications :