Senior Cloud Engineer
E SolutionsThis job is no longer accepting applications
Job Description
Key Responsibilities:
- Design and implement cloud architecture for AI/ML, LLM model deployment, monitoring, and scaling
- Deploy models using Docker, Kubernetes, and CI/CD pipelines across cloud environments on Azure or GCP
- Optimize AI model serving using tools like TensorFlow Serving, TorchServe, ONNX Runtime, Triton Inference Server, etc.
- Build and manage IaC using Terraform, or CloudFormation
- Implement security best practices, autoscaling, logging, monitoring (Prometheus/ Grafana/ ELK), and disaster recovery plans
- Collaborate with ML engineers to produce prototypes into resilient, cloud-native services
- Benchmark and tune deployments for low latency, high throughput, and cost optimization
Required Qualifications:
- 8+ years of experience in cloud engineering, with 4+ years focused on AI/ML deployment at scale
- Strong hands-on expertise in Azure and GCP
- Proficient in Docker, Kubernetes, Helm, and serverless deployment models
- Solid understanding of ML frameworks (TensorFlow, PyTorch, scikit-learn) and model deployment workflows
- Experience in CI/CD tools (GitHub Actions, Jenkins, GitLab CI), scripting (Python, Bash), and API gateway management
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Key Skills
About Company
Founded in 2003, E-Solutions proudly celebrates 22 years of growth, with outreach in 33 countries. In today’s dynamic environment, we believe in collaborative success over individual performance.
As an extension of our clients, we commit to innovation and shared outcomes, with a significant portion of our revenue from outcomes-based partnerships.
Co-innovation and disruption drive our mission, and we tailor solutions through both proprietary and partnered investments. Our agility fosters trust and ensures business continuity, while our E-Solutions Edge framework guarantees operational excellence.
Choose E-Solutions as your trusted partner.





