Head of Training / Technical Lead (DevOps Engineer) - (Remote)Data2bots

JOB SUMMARY:

Are you a software engineer with a specialization in DevOps? Do you understand the Software Development Lifecycle, have comprehensive knowledge of different automation tools to develop CI/CD pipelines and infrastructure management? Are you also passionate about transferring the skills to new talents?

Then you are the right person to join our data team that is actively developing new talent while working on challenging data projects.

QUALIFICATIONS, SKILLS, AND REQUIREMENTS

• Bachelor’s degree in software engineering, computer science, or a related engineering discipline.
• Minimum 3-5 years of professional industry experience, with DevOps related work, such as:
• Configuration Management.
• Continuous Integration.
• Automated Testing.
• Infrastructure as Code.
• Continuous Delivery.
• Continuous Deployment.
• Continuous Monitoring.
• Must have a solid knowledge of at least one of these infrastructures as Code offerings e.g: CloudFormation, Terraform, Azure Resource Manager
• Must have experience with at least one programming language, preferably Python
• Seeing through a DevOps process lifecycle from end-to-end
• Advanced containerisation experience. (Docker)
• Experience with infrastructure networking and security
• Nice to have experience with configuring Kubernetes
• Able to adapt to a fast-paced technical environment
• Energetic, motivated, and team player
• Excellent communication skills in English – both written and spoken
• Experience working remotely will be an added advantage

RESPONSIBILITIES

• Lead other DevOps trainers/trainees
• Develop a training curriculum and related content and method of delivering
• Engage with new talents in one on one or one to many situations
• Perform grading and report generation of talent performance
• Be available to head and lead internal projects at Data2Bots, while performing the following duties;
• Automation, operations, provisioning, deployment, and maintenance of cloud-based production systems in either AWS, Azure, GCP environments.
• Ensuring availability, performance, security, networking, and scalability of cloud production systems.
• System troubleshooting and problem resolution across various application domains and platforms.
• Provision of critical system security by leveraging best practices and prolific cloud security solutions.
• Providing recommendations for architecture and process improvements.
• Experience with working in an Agile project environment is an advantage