Design, build, and maintain GCP cloud infrastructure; lead on-premises to GCP migrations; implement and optimize Vertex AI solutions; manage change processes, monitoring, security, troubleshooting, and cross-team collaboration using Jira/Confluence.
Location: Springfield, MO
Job Type: Full-Time
About Us: We are a leading technology solutions provider, committed to delivering innovative and scalable cloud solutions. We are looking for a highly skilled and experienced GCP System Analyst to join our team. The ideal candidate will have hands-on experience in cloud foundation building, on-premises GCP migration, Vertex AI implementation, and managing change management processes.
Job Description:
Responsibilities:
- Analyze and design cloud infrastructure solutions on Google Cloud Platform (GCP).
- Assist in the cloud foundation build, ensuring adherence to best practices in security, scalability, and performance.
- Support and execute the migration of on-premises infrastructure to GCP.
- Implement and optimize Vertex AI solutions for advanced machine learning and AI capabilities.
- Collaborate with cross-functional teams to gather and analyze business requirements and translate them into technical solutions.
- Managing multi team collaboration through JIRA and Confluence
- Manage change management processes, including planning, communication, and execution of changes to the cloud environment.
- Monitor and maintain the performance, availability, and security of GCP infrastructure and services.
- Troubleshoot and resolve technical issues related to GCP infrastructure and services.
- Stay updated with the latest GCP features, tools, and best practices.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
- Minimum of 3 years of hands-on experience with GCP architecture and services.
- Proven experience in cloud foundation building and on-premises to GCP migration projects.
- Strong expertise in Vertex AI and implementing machine learning models on GCP.
- Proficiency in GCP services such as Compute Engine, Cloud Storage, BigQuery, Cloud Functions, and Kubernetes Engine.
- Excellent understanding of networking, security, and IAM in GCP.
- Strong problem-solving skills and the ability to work in a fast-paced environment.
- Excellent communication and collaboration skills.
Technical Skills Required:
- Experience with Terraform, Ansible, or other infrastructure as code (IaC) tools.
- Knowledge of DevOps practices and CI/CD pipelines.
- Proficiency in scripting languages such as Python, Bash, or PowerShell.
- Experience with containerization technologies like Docker and orchestration tools like Kubernetes.
- Familiarity with monitoring and logging tools such as Stackdriver, Prometheus, and Grafana.
- Understanding of data engineering concepts and tools like Dataflow, Dataproc, and Pub/Sub.
- Experience with API management and microservices architecture.
- Knowledge of security best practices, including encryption, key management, and identity management.
- Familiarity with other cloud platforms like AWS or Azure.
- Experience with cloud-native application development and serverless architectures.
- Proficiency in designing and implementing disaster recovery and business continuity plans.
- Knowledge of cloud cost management and optimization strategies.
- Experience with hybrid cloud environments and multi-cloud strategies.
- Familiarity with cloud compliance frameworks such as GDPR, HIPAA, and SOC 2.
- Proficiency in using GCP's AI and machine learning tools, such as AutoML and AI Platform.
- Experience with data warehousing solutions like BigQuery and data lake architectures.
- Knowledge of cloud networking concepts, including VPC, VPN, and interconnects.
Preferred Skills:
- GCP Professional Cloud Architect certification.
- Experience with hybrid cloud environments and multi-cloud strategies.
- Knowledge of machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Experience with serverless computing and event-driven architectures.
Compensation, Benefits and Duration
Minimum Compensation: USD 44,000
Maximum Compensation: USD 154,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is available for independent contractors
No applications will be considered if received more than 120 days after the date of this post
Similar Jobs
Cloud • Information Technology • Security • Software • Cybersecurity
Serve as the field technical authority bridging enterprise AI and security: drive AI security strategy, lead demos and POVs, advise on LLM/RAG/agent risks and data protection, influence product roadmap, and create reusable enablement assets to scale sales and secure production AI deployments.
Top Skills:
AgentsApi IntegrationsCloud-Native Security PlatformsData Loss Prevention (Dlp)Llm ApisLlmsModel Context Protocol (Mcp)Prompt WorkflowsRetrieval-Augmented Generation (Rag)Zero Trust
Cloud • Information Technology • Security • Software • Cybersecurity
Lead field-facing AI security strategy for enterprise customers: architect solutions, deliver demos/POVs, advise on LLM/RAG/agent security, prevent data exposure, and scale enablement across sales and product teams.
Top Skills:
AgentsApi IntegrationsCloud-Native Security PlatformsDlpLlm ApisLlmsMcp (Model Context Protocol)Prompt WorkflowsRagZero Trust
Cloud • Information Technology • Security • Software • Cybersecurity
Serve as field-facing technical authority on enterprise AI security: define AI technical strategy, design and deliver tailored demos/POVs, advise on LLM/RAG/agent risks and data protection, feed product roadmap, and create reusable enablement assets and training for sales and engineering teams.
Top Skills:
Agentic AutomationApi IntegrationsCloud-Native Security PlatformsData Loss Prevention (Dlp)GenaiLarge Language Models (Llms)Llm ApisModel Context Protocol (Mcp)Prompt WorkflowsRetrieval-Augmented Generation (Rag)ScriptingZero Trust
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
