Deliver against the strategic roadmap for cloud architecture.
Work across a myriad of technology stacks in Azure and GCP, understanding and utilizing their unique native services in deployments
Ensure best practices and patterns are being implemented for cloud solutions
Provide technical direction to team members to develop, test and implement the solution as per the design and within the specified timelines
Be familiar with using automated orchestration and configuration management techniques.
Understand the design, deployment, and management of secure and compliant enterprise servers, network infrastructure, boundary protection, and cloud architectures using Infrastructure-as-Code
Coordinate with client product teams, Engineering team members, and other stakeholders to build, monitor, and maintain a secure cloud-hosted infrastructure via automation in both production and non-production environments
Configure and tune cloud-based tools, manage cost, security, and compliance for the client’s environments
Design, build, and maintain environment-specific alerts and dashboards via analytics tools such as Splunk and Elastic Stack
Monitor and resolve site stability and performance issues
Conduct testing and data reviews to evaluate the effectiveness of current security and operational measures
Authoringandpeerreview of detailed design and security documentation, inclusive of vendor best practices
Bachelor’s degree in Computer Science or equivalent; Masters preferred.
10+ Years’ Experience – at least 4 years in a Cloud Solution Architecture and Engineering lead role.
Have strong hands-on expertise in implementing and architecting scalable GCP solution
2+ years’ experience with Infrastructure-as-Code and orchestration/automation tools such as Terraform and Ansible
Experience with delivering Google Cloud Platform products, including App Engine, Compute Engine, Cloud Storage, Cloud SQL, Cloud Datastore, Cloud Pub Sub, Cloud Dataflow, and more.
Extensive hands-on Azure design and architecture experience including key Azure platform and infrastructure services such as ExpressRoute, Networking, Routing, Azure Policy, Azure Data factory, AKS, ADLS, Snowflake, PrivateLink, SQL database etc.
Strong experience with IaaS platform capabilities and services (Professional cloud certifications preferred). Programming Python, R, Spark, React, Tableau, Snowflake
Experience working within an automated CI/CD pipeline for release development, testing, remediation, and deployment
Experience working within container orchestration solutions such as big query, Docker, Kubernetes, Docker, EKS and/or ECS
Experience with vulnerability management tools and data to ensure provisioning of secure, patched resources
Experience using analytics tools and Elastic Stack for querying, monitoring and alerting
Experience with agile way of working
Expertise in at least one primary scripting language (Bash, Python, PowerShell)
Excellent communication, organizational, and problem-solving skills in a dynamic environment
Effective documentation skills, to include technical diagrams and written descriptions
Ability to work independently and as part of a team with professional attitude and demeanor
Critical thinking, and ability to balance environmental requirements with mission needs