Data & DevOps (DataOps) Engineer at takealot.com

Your mission, should you choose to accept it:

• Terraform to manage Cloud Infrastructure, Chef to manage virtual servers
• Building and deploying systems for metrics, monitoring, and logging
• Operations for Kafka, Kubernetes, and more
• CI/CD Build Systems to ensure our teams can deploy frequently and safely
• Code management and review
• Hardening servers, and building security into the platform
• Developing automation so we can focus on the hard problems
• Implementing features, technology, and processes that move us towards industry best practices, improving on scalability, efficiency, reliability, and security
• Responding to incidents and requests

The skills we need

• Is passionate about technology, enjoys keeping up to date with the industry
• Always learning
• Is a team player that can function as an individual
• Excellent communication skills
• Shows solid reasoning and decision making
• Has a deep understanding of database engines
• Confident in his/her ability and skills

Qualifications & Experience:

• Bachelor’s Degree or Advanced Diploma in Information Systems, Computer Science, Mathematics, Engineering and a minimum of 3 years of DataOps experience in a software/technology environment is required.
• In the event that a candidate does not have a bachelor’s degree or an advanced diploma (in Information Systems, Computer Science, Mathematics, or Engineering), an equivalent experience requirement must be met, which equates to a minimum of 6 years of DataOps experience in a software/technology environment.
• An understanding of computer science fundamentals, including linux and operating systems, networking
• Solid grasp of development fundamentals such as data structures and algorithms
• Can write code (preferably in Python)
• Experience with open source relational database systems (MySQL, PostgreSQL)
• Practical experience working with other database systems like BigQuery, Redis and ElasticSearch will be beneficial
• Has experience with Kafka, PubSub, or other event-based systems
• Has experience with Google Cloud, or another cloud provider (architecture, operations)
• Understands cost and implications of scaling
• Has experience managing Kubernetes Clusters (certificates, users, kubeadm, kubectl etc.)
• Understands networking deeply (tcp/ip, calico/weave, vlans, tcpdump, routing etc.)
• Understands Linux deeply (kernel tuning, proc filesystem, cgroups, os scheduling, etc.)
• Has experience with Build Systems (Jenkins, Gitlab, Spinnaker)
• Has a reasonable understanding of Networking (TCP, UDP, IP)
• Has experience with Linux administration (Processes, Networking, Storage, Security)
• Has experience with at least one configuration management system (Chef, Puppet, Ansible)
• Has experience managing production systems