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DevOps Engineer

  • Reference: 304305
  • Location: London
  • Salary: 50-55k Salary + Exceptional Benefits
  • Job type: Permanent

DevOps Engineer
50-55k Salary + Exceptional Benefits

Our client is a cloud-based consultancy focused on Middleware Platforms, Machine Learning and Artificial Intelligence. With a number of class-leading solutions, bots and platforms that enhance the cloud, they are well placed for further technical innovation. They have an immediate opening for a DevOps Engineer.

As an experienced mid-level DevOps Engineer, you will:

  • Create, monitor, manage and improve infrastructure services
  • Design high availability, performing and secure solutions using public/private cloud
  • Set up and/or improve CI/CD pipelines
  • Automate monitoring and alerting solutions to detect unplanned downtime
  • Configure security, both network and application/software components
  • Manage and deliver clients’ specific requests
  • Collaborate with team members and stakeholders.
  • Own and lead initiatives to define, design, and implement DevOps solutions which includes reference architectures, estimates and costing
  • Act as a subject matter expert on DevOps best practices with Cloud Formation, Auto Scaling Groups, and Configuration Management
  • Provide technical leadership, project guidance and business development in various areas
  • Review and audit existing solution, design and system architecture
  • Create technical documentation

To be considered for this role, you will have the following skills and traits:

  • 1-2 years’ commercial experience with Docker (including Docker swarm) and Kubernetes
  • 3 years of experience in managing Linux based infrastructure
  • 5 years of hands-on experience at least in one scripting language
  • Solid experience in Terraform
  • Expertise in deploying AWS resources in a commercial production environment
  • Knowledge of Azure, Google Cloud Platform
  • Strong knowledge of key DevOps concepts
  • Strong scripting skills (Python, Ruby, Perl)
  • Configure and manage data sources like MySQL, Mongo, Elasticsearch, Redis, Cassandra, Hadoop, etc
  • Broad knowledge of software development and software testing methodologies along with change and configuration management practices in Linux-based environments
  • Strong automation capabilities
  • Experience with automated deployment, continuous integration, and release engineering tools (Nagios, Zabbix, Cacti, New Relic, Graphite)
  • SVN, GIT, Scrum, Agile, Kanban
  • Experience in creating ‘Infrastructure as Code’
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