DevOps Engineer: Team Lead at Gcubed Boutique Recruitment

DevOps Engineer: Team Lead 

An innovative tech business that specialises in data analytics, cloud infrastructure, security and automation seeks a collaborative DevOps Engineer to provide technical leadership for the team - someone who knows and who will advocate for best DevOps practices, ideas and successes with other product delivery teams.

Responsibilities:

• Collaborate with other Leads in Data Engineering (Lead Architect, Lead Automation Tester) and other Technology functions to deliver secure, reliable, robust, scalable solutions which can be built, tested and deployed through the Route to Live and into Production using continuous integration / deployment.
• Allocate your team’s workload and manage the expectations of key stakeholders.
• Responsible for detailed design and oversight in the team deliverables.
• Identify and implement DevOps engineering best practices in conjunction with your peers, both within Data Engineering and Technology as a whole
• Ensure the use of continuous delivery pipelines and tools to fully automate deployment, testing, delivery, and management of development, QA and production systems on a variety of cloud platforms
• Troubleshoot and take ownership of issues in our development, test and production environments. Including performance optimization and continuous tuning
• Continuous learning and evaluation of the latest approaches, tools, and technologies

Requirements:

• An individual thinker, not afraid to think outside of the box and to challenge preconceived ideas.
• Proven experience managing DevOps teams and mentoring engineers
• Industry experience working with Big Data platforms
• Knowledge of microservice architecture
• Ability to quickly learn and apply emerging techniques, frameworks, and platforms
• Working experience with Docker and/or Kubernetes an adv
• Good communication and collaboration skills

Technical Skills:

• The technologies which will be most advantageous would include systems design, networking, data storage, security, artificial intelligence, container orchestration and most importantly automation
• Must be from a UNIX / Linux background
• Understanding of protocols and how they work. (TCP/UDP/gRPC)
• Experience in message bus (Preferably Kafka)
• Expert knowledge in container management technologies (emphasis on Kubernetes)
• Expert knowledge of continuous integration and automated testing
• Expert in configuration management tooling (Chef, Ansible, Puppet)
• Experience in one of more popular CI platforms (e.g. Github Action, Jenkins, Bamboo, or Travis) required.
• Experience with Helm package manager required
• Strong experience in at least one major cloud platform required
• Experience with Draft and Brigade an advantage
• Expert knowledge of Infrastructure as Code (Terraform required)
• Good understanding of PKI required
• Expert scripting skills required (bash/sh/ksh)
• Experience in another language (e.g. Golang, Javascript, Python, Perl) an advantage
• Experience in advanced monitoring models. (Prometheus an advantage)
• Experience in using and manipulating API’s, API documentation. (Swagger, Postman) an advantage.
• Distributed logging frameworks. (Greylog, rsyslog, logstash).
• Visualization experience advantage (ELK, Grafana, Splunk).
• RHCE an advantage