DevOps Engineer (Kubernetes & AWS)

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Job Overview

Jobot is seeking a highly skilled DevOps Engineer with expertise in Kubernetes and AWS to join our dynamic team. The successful candidate will spearhead the design, deployment, and maintenance of our cloud infrastructure while implementing CI/CD pipelines and enhancing our overall operational efficiency. This is a pivotal role that combines software development with IT operations, ensuring optimal deployment and management of applications in a secure and efficient manner.

Job Responsibilities

• Design and implement scalable, highly available, and fault-tolerant systems on AWS.
• Manage Kubernetes clusters, ensuring high availability and optimal performance.
• Develop and maintain CI/CD pipelines to automate deployments and monitor application performance.
• Implement security best practices and conduct regular audits on cloud infrastructure.
• Collaborate with cross-functional teams to troubleshoot and resolve technical issues.
• Participate in on-call support rotation and incident management processes.
• Document architectural designs, deployment processes, and operational procedures.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Minimum of 3 years of experience in a DevOps role, with a focus on Kubernetes and AWS.
• Strong understanding of containerization technologies, particularly Docker and Kubernetes.
• Proficiency in scripting and programming languages such as Python, Bash, or Go.
• Experience with CI/CD tools such as Jenkins, GitLab CI, or CircleCI.
• Familiarity with configuration management tools like Ansible, Puppet, or Chef.
• Solid understanding of networking, security, and cloud computing concepts.

Technologies & Tools

The DevOps Engineer will work with a diverse stack of technologies including AWS services (EC2, S3, Lambda), Kubernetes for container orchestration, Docker for containerization, Terraform for infrastructure as code, and Jenkins or GitLab CI for continuous integration and deployment. Knowledge of monitoring tools such as Prometheus, Grafana, or ELK Stack will also be advantageous.

Ideal Candidates

Ideal candidates for this position exhibit a strong analytical mindset and are detail-oriented. They thrive in fast-paced environments and demonstrate excellent problem-solving capabilities. A passion for technology and continuous learning is essential, along with the ability to work collaboratively within teams. Strong communication skills are vital, as candidates will frequently interact with both technical and non-technical stakeholders.