Jobgether
Senior Cloud Platform Engineer
Accountabilities:
- Design, implement, and maintain cloud infrastructure using Infrastructure as Code (IaC) principles across complex enterprise environments.
- Build and deploy AI agents using Google Gemini models and orchestrate workflows through Vertex AI services.
- Develop and manage agent architectures, including tool-calling, multi-agent orchestration, and RAG pipelines.
- Define and manage cloud environments, ensuring alignment with enterprise governance, security, and operational standards.
- Integrate AI systems with enterprise data sources such as BigQuery and external connectors.
- Leverage Google’s Agent Development Kit (ADK) and Managed Agents API to scale and operationalize agent systems.
- Troubleshoot and optimize system designs to meet performance, security, and infrastructure constraints.
- Collaborate with enterprise and platform teams to ensure reliable deployment within regulated cloud environments.
- Strong hands-on experience with Google Cloud Platform, especially Vertex AI and related ML services.
- Proven experience with Infrastructure as Code tools such as Terraform, Kubernetes, and CI/CD pipelines.
- Solid background in designing and operating cloud-native architectures in enterprise environments.
- Experience working with AI/ML systems, preferably including LLM-based applications or agent frameworks.
- Familiarity with enterprise-scale governance, security, and infrastructure constraints.
- Exposure to AWS or Azure cloud platforms is highly desirable.
- Experience with tools such as LangChain or LangGraph is a plus.
- Understanding of frameworks like AWS Bedrock or Azure Agent Foundry is an advantage.
- Strong problem-solving skills and ability to operate in complex, regulated technical ecosystems.
- Ability to bridge infrastructure engineering with AI application development.
- Competitive compensation aligned with senior-level cloud engineering roles.
- Remote or flexible work arrangement (depending on project needs).
- Opportunity to work on cutting-edge AI agent and LLM infrastructure projects.
- Exposure to advanced Google Cloud and Vertex AI ecosystems.
- High-impact role within enterprise-scale AI transformation initiatives.
- Collaborative environment with experienced cloud and AI engineers.
- Opportunity to shape scalable multi-agent architectures in production.
- Continuous learning in AI, cloud-native systems, and enterprise integration.
Requirements:
Benefits:
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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Jobgether runs the largest remote job platform, effectively linking job seekers with over 200,000 flexible and remote opportunities that match their unique skills and preferences. Our focus is on enhancing the hiring process, ensuring efficiency while prioritizing the candidate experience, particularly in the growing health and wellness sector.
- Founded
- Founded 2020
- Employees
- 11-50 employees
- Industry
- Professional Services
Cloud Platform Engineer