Job Description

Responsibilities

• Design, develop, and deploy cloud-native solutions on Google Cloud Platform (GCP) to support data analytics, application modernization, and AI/ML initiatives. Migrate legacy applications to modern cloud architectures using services like Compute Engine, Kubernetes Engine(GKE), App Engine, and Cloud Functions. Build and maintain scalable data pipelines using BigQuery, Dataflow, and Dataproc.
• Develop and deploy machine learning models using Vertex AI, including AutoML and custom model training.
• Implement and enforce security best practices across GCP services. Collaborate with stakeholders to gather requirements, present solutions, and ensure successful project delivery. Stay up to date on the latest GCP technologies and trends.
• Works with IT Architecture staff, CIO, software developers and IT Managers designing solutions that meet the agency's requirements; assists in analysis of the solution design's business case; authors' portions of the solution business case.
• Assists with planning, configuration, and extension of MS Azure DevOps, V Net, AppService, App Proxy, Pipelines, and other PaaS offerings. Works within Agile principles and methodologies.
• Ensures current and/or future business process flows are defined and documented; conducts detailed alternative analyses and determines end-user requirement(s);consults with end-users, technicians, vendors, management, and others; leads design reviews; provides post-production support for applications varying in size, scope and impact to agency operations.
• Develops pass/fail testing criteria; assesses overall system performance, including optimizing code and identifying and resolving peripheral software/hardware conflicts; finalizes implementation of plans, procedures, and schedules;conducts lessons learned (testing perspective) and coordinates improvements to enterprise testing processes; understands technical environments and impacts on software execution to identify environmental components to be reviewed for adequacy.
• Core Services: Proficiency in Compute Engine, GKE, App Engine, Cloud Functions,BigQuery, Dataflow, Dataproc, Vertex AI.
• Advanced Skills: Experience with Cloud SQL, Apigee, API Gateway, security tools (IAM,Security Command Center), networking services (VPC, Cloud Load Balancing),Terraform, or Deployment Manager.
• Communication: Excellent written and verbal communication skills, with the ability to present technical information clearly to both technical and non-technical audiences.
• Collaboration:Strong teamwork and interpersonal skills, with the ability to work effectively with diverse stakeholders.
• Problem-Solving:Proven analytical and problem-solving abilities to troubleshoot issues and optimize cloud solutions.
• Certification:Professional Cloud Architect or Professional Data Engineer strongly preferred.

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