Work closely with global Engineering Teams, Security and Operations colleagues to ensure best practices are followed while designing new solutions and services.
Design, implement, document and constantly improve tools, monitoring and automation to deploy and promote code across the different tiers of the software lifecycle
Partners with engineering architects to develop a clear understanding of the application stacks that power services for McAfee.
Leads the assessment and configuration/deployment of cloud-based solutions and ensure seamless deployment
Provides recommendations and solutions for the challenges that arise throughout the planning and execution phases of application deployment.
Focus on cost optimization efforts across McAfee cloud solutions
Evaluates new technologies and leads efforts to introduce them into the environment as per business requirements.
Partners with the DevOps team peers to ensure major decisions align with existing standards and lessons learned from earlier deployment.
Troubleshoots and identifies root causes for issues in complex environments.
Follows McAfee security best practices and policies.
Assumes additional responsibilities as requested (or required).
About You
Hands-on working experience in building supporting large scale environments
Professional experience in administration for cloud-based production systems in AWS, GCP and on-prem (private cloud) environments.
Excellent written and verbal communication skills.
Lives on the command line.
Proven ability to work independently, deploying, testing and troubleshooting systems
Experience working with and supporting production-level services within public cloud environments
Strong production support background and experience of in-depth troubleshooting
Experience using modern Monitoring and Alerting tools (Prometheus, Grafana, Opsgenie etc.)
Experience working with solutions in both Linux and Windows environments
Experienced with global traffic management tools, e.g. Akamai, CloudFlare
Experience with configuration management tools such as Ansible, Puppet, or Chef.
Experience creating automation using AWS Tools in Lambda, CloudFormation/Terraform or similar and building CI/CD pipelines
Experience with Containerization and associated management tools (Lambda, Docker, Kubernetes)
Knowledge of ITIL (IT Service Management) incident management, problem management, release management Agile practices.
At least one or more AWS Certifications and/or GCP Certifications