Cloud Engineering Lead Consultant

Job Description

I have had an exciting opportunity to join a company that enable their global customers to do what they do best: science. Their purpose is to provide the best cloud-based research and development (R&D) technology and solutions to the world’s most forward-thinking companies. They support cloud-based solutions in research-based organisations that help them meet the challenges faced by their scientists, in scientific data management and lab informatics.Responsibilities- Solution architecture and design for high-availability and fault tolerant Scientific Applications- Public Cloud Solution deployment e.g. AWS, Azure, GCP.- Coaching and mentoring customers on software continuous deployment best practice e.g. Agile, DevOps, & Reliability Engineering.- Providing technical direction and playing the lead role in managing cloud solution deployments to ensure customers achieve repeatable Cloud Security, Backup, Failover, Alerting and Disaster Recovery.- Introducing and managing the right level of qualification and testing for change and configuration management in Cloud environments.- Hands on (remote) development, installation, support, and maintenance of software infrastructure for cloud deployments.- Working closely with our Infrastructure, Dev Ops, HPC and Cloud Engineering Teams to ensure customer’s environments are correctly designed, sized and installed and updated at scale.- Act as a quality gate for software deployments to ensure a successful customer deployment, every time.- Ensure compliance with corporate policy and procedure in regard to quality and information security and performance of Customer systems.- Assure compliance with quality and information security management systems and best practice.- Support certification and customer validation of cloud solutions and performance either directly or through teamwork.- Troubleshooting to lead resolution between Internal Teams, Customer Teams or 3rd Party Partners.Work Experience- Bachelor’s/Master’s degree or equivalent in science, technology, or computing.- Proven experience in Cloud Solutions; preferably in life sciences or chemistry.- Strong experience in R&D Informatics systems. The industry need is to understand “data management”, “operational efficiency” and “workflow”.- To have worked in a services environment for at least 5 years. To understand how the services business operates and scales. To have personal experience, even if it is not recent of operating as a consultant and “doing”. You need to know what it’s like to be a Consultant. To have operated in the field and experienced all stages of a project lifecycle.Desirable knowledge and experience- Public Cloud Technologye.g. AWS, Azure, GCP.- Cloud Architecture, Topology, Infrastructure & Formatione.g. ECS, Amazon EMR, Ansible, Puppet, Chef, Terraform.- Containerse.g. Kubernetes, Docker.- Programming & Scripting Languagese.g. Java, .NET, Ruby, JavaScript, Python, R, MATLAB, RStudio Pro.- Cloud Database technologiese.g. Apache Spark, DynamoDB, Elastic, Hadoop, Mongo Atlas, Oracle.- Reliability Engineering application re-architecture, memory debugging, load balancers, clusters, web servers, containers, and test automation.- Network Debuggingphysical and virtual using common open-source tools e.g. Tcpdump, Wireshark etc.- Agile & DevOpse.g. CI/CD, configuration management, artefact & version management e.g. Bamboo, Jenkins, AWS Code Deploy / Pipeline, Spinnaker, GitHub, Cucumber.- Shell scriptingon Windows and Unix.- Monitoring, Alerting Toolse.g. Nagios, Zabbix, Kibana, New Relic, Grafana, Kafka, Zenoss, SolarWinds, ELK etc.- Securitye.g. RESTful api design, encryption, and certificate management.- Running production systems in the Cloud.