Senior DevOps Engineer

Description

Posting Date – 09/02/2018

Closing Date – 12/03/2018Salary - CompetitiveWould you describe yourself as a creative and ambitious engineer who’s always ready to take on the next cutting-edge technology and build scalable infrastructure? If your answer is yes, you’re going to fit right in with our team. We’re looking for a passionate and efficiency-driven Infrastructure Engineer who can build automated, testable, and repeatable projects. We are a group of passionate engineers whose bread and butter is learning new technologies and fostering a collaborative and inclusive environment - we’re looking for partners in crime who feel the sameOur ideal candidate has:

• Expert knowledge of working in cloud-based infrastructure (AWS, Rackspace, and Heroku)
• Expert knowledge of Multi-Region Topologies, Auto Scaling, Load Balancers, Proxy Servers, SNS, SQS, DNS, CDNs and WAFs
• Capable to architecting frictionless security and compliance best practices into global cloud infrastructure.
• At ease with troubleshooting in complex environments through experience using monitoring and logging tools (such as NewRelic, DataDog, Graylog and Kibana)
• Knowledge of Ansible, Terraform & GoLang.
• Experience of Build Tools (e.g. Jenkins, CircleCI), and Artifacts Repositories (e.g. Quay.io),
• Experience using containerization technologies (Docker, Kubernetes, Mesos, Vagrant)
• Experience working and architecting RDBMS (Postgres, MySQL, RDS and Redshift)
• Knowledge of using distributed stream processing platforms specifically Apache Kafka
• Experienced working in/with Lean, DevOps cultures
• Experience in requirements identification, solution analysis/testing, and product selection
• Solid background in conventional IT back-office business systems and infrastructure
• Excellent communication and presentation skills

Brownie points for:

• contributions to Open Source projects.
• advanced networking experience and/or knowledge.
• security experience and/or knowledge.
• experience with microservice and/or event-driven architecture.
• Knowledge of using distributed stream processing platforms specifically Apache Kafka
• experience with Data Warehouses.
• past experience working in a highly-regulated industry.
• experience working in global companies with multiple geographies.