Responsibilities include but not limited to:

Design and implement scalable, secure, and cost-effective cloud infrastructure solutions on Google Cloud
Evaluate and select appropriate cloud services based on project requirements
Develop integration strategies and data flow architectures for cloud-based systems
Integrate Google Cloud services (e.g., Google Earth Engine, Cloud Storage, Pub/Sub, Cloud Functions) with on-premises systems or other cloud platforms (EDL)
Develop and maintain APIs for system and application integrations
Use tools like Google Cloud API Gateway, Cloud Endpoints, and Service Accounts for secure integrations
Implement automation using tools like Terraform, Gitlab CI/CD, or Google Cloud SDK
Configure and deploy virtual machines, networking, and storage resources within Google Cloud
Set up containerized environments with Kubernetes and Google Kubernetes Engine (GKE)
Migrate data from on-premises databases or other cloud providers to Google Cloud platforms; Implement ETL (Extract, Transform, Load) processes; Optimize data pipelines for performance and cost-efficiency
Implement cloud security best practices such as identity and access management (IAM), encryption, and network security
Perform security audits and assessments to ensure compliance with relevant regulations
Manage security policies and access controls using Google Cloud Security tools
Monitor cloud resources and applications using Google Cloud Operations suite (formerly Stackdriver) for performance and availability
Troubleshoot issues related to integration, network, and cloud services
Provide ongoing support for cloud infrastructure and resolve incidents in production environments
Collaborate with development teams, business stakeholders, and clients to understand requirements and deliver solutions
Document integration processes, architecture designs, and best practices for internal use and client delivery

Requirements

Required Skills:

Cloud Platform Expertise - Proficiency in GCP and AWS. Good understanding of the different cloud Service Models (IaaS, PaaS and SaaS)
Automation tools: Knowledge of tools to automate the provisioning, scaling, and management of cloud environments (Dev/QA, ITE, Stage and Production). Additionally, good understanding of the infrastructure deployments and management (IaC)
Familiarity with regulatory standards and how to ensure the cloud environment adheres to them e.g. FedRAMP, FISMA etc
Familiarity with container orchestration and deployment (Docker, Kubernetes), cloud database services and storage solutions
Experience with building, testing, and deploying applications in a cloud environment using DevSecOps and CI/CD
Skills in automating workflows and integrating with cloud platforms
Understanding how to interact with cloud services programmatically using APIs and SDKs
Experience in setting up and configuring monitoring for performance, security, and availability using tools such as Datadog, and other monitoring platforms. This includes tracking system metrics, identifying potential security vulnerabilities, ensuring optimal system performance, and setting up alerts and dashboards for proactive management
Ability to collaborate with DITD technical SMEs, security teams, and OCIO to integrate cloud services, including system-of-systems architectures and data integration, ensuring seamless communication, security compliance, and optimal functionality across all platforms

Benefits

401(k)
401(k) matching
Dental insurance
Flexible schedule
Flexible spending account
Health insurance
Health savings account
Life insurance
Paid time off
Professional development assistance
Referral program
Retirement plan
Tuition reimbursement
Vision insurance

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Google Cloud Engineer