Senior Cloud Engineer

Green Tomato Limited; Hong Kong; On-site; HKD 600,000 - 900,000; Full time

Job summary

Green Tomato Limited is seeking a Senior Cloud Engineer in Hong Kong to lead and collaborate with engineering teams to architect, implement, and deploy enterprise-scale cloud solutions. You will design modular cloud-based systems, ensure data security and compliance, and mentor junior engineers.

The role requires 5+ years in cloud or application development with senior experience, strong Docker/Kubernetes expertise, and hands-on IaC with Terraform across AWS, GCP, and Azure.

Qualifications

• Minimum 5+ years in Cloud or Application Development with at least 2 years in a senior role.
• Advanced experience with container orchestration — Docker and Kubernetes — in production environments.
• Deep knowledge of DevOps practices, CI/CD pipelines (GitLab CI/CD, Jenkins).
• Expert-level proficiency across AWS, GCP, and Azure, with multi-cloud strategies and migration projects.
• Advanced experience in Infrastructure as Code using Terraform, including lifecycle and state management.
• Extensive experience with SQL and NoSQL databases and designing highly scalable systems.
• Expert knowledge of High Availability, Disaster Recovery, and Business Continuity best practices.
• Advanced observability and monitoring tools like Prometheus, Grafana, OpenTelemetry, Elastic Stack.
• Foundational to intermediate knowledge of MLOps and AI infra including LLM API integration.
• Demonstrated leadership, communication, and mentoring skills for cloud strategy.

Responsibilities

• Lead, mentor, and provide technical direction for engineering teams; define cloud strategy and drive innovation across initiatives.
• Architect and design enterprise-scale cloud infrastructure with HA, scalability, performance, and security best practices.
• Build and maintain modern DevOps workflows, CI/CD pipelines, automation tooling.
• Manage IT infrastructure across on-premises and hybrid multi-cloud environments for high availability.
• Enforce cloud security policies and best practices across data and operations.
• Lead resolution of complex infrastructure vulnerabilities and production issues with preventive measures.
• Conduct system reviews and lead technology evaluation initiatives to drive improvements.
• Serve as primary technical contact for clients and vendor relationships for cloud recommendations.
• Design and deploy cloud infra for AI/ML workloads including GPU-accelerated compute and data pipelines.
• Implement and maintain MLOps pipelines for model training, versioning, deployment, and monitoring.

Skills

Cloud architecture

Team leadership

DevOps

Multi-cloud

Docker

Kubernetes

Terraform

CI/CD

SQL/NoSQL

High availability

MLOps basics

SageMaker/Vetex AI

Tools

Docker

Kubernetes

Terraform

GitLab CI/CD

Jenkins

Prometheus

Grafana

Job description

As a Senior Cloud Engineer you will lead and collaborate with engineering and development teams to evaluate, architect, and identify optimal cloud solutions. You will be responsible for designing, developing, and deploying enterprise-scale modular cloud-based systems, and ensuring the functioning of data storage and processing functions are in accordance with company security policies and best practices in cloud security. You will also mentor junior team members, provide strategic cloud guidance to clients, and make informed recommendations based on complex client needs and business requirements.

You will do the following in this job:

• Lead, mentor, and provide technical direction for engineering teams; define cloud strategy and drive innovation across initiatives.
• Architect and design complex, enterprise-scale cloud infrastructure solutions with high availability, scalability, performance optimization, and security design best practice.
• Build and maintain modern DevOps workflows, CI/CD pipelines, system policies, and enterprise-level automation tooling.
• Manage and administer IT infrastructure across on-premises and hybrid multi-cloud environments to deliver services in high availability.
• Enforce cloud security policies and best practices across data storage, processing functions, and system operations.
• Lead identification, analysis, and resolution of complex infrastructure vulnerabilities and production issues, and implement preventive measures.
• Conduct comprehensive reviews of existing systems and lead technology evaluation initiatives to drive operational improvements.
• Serve as the primary technical point of contact for clients and lead vendor relationships to deliver strategic cloud recommendations.
• Design and deploy cloud infrastructure for AI/ML workloads, including GPU-accelerated compute, model serving environments, and data pipelines.
• Implement and maintain MLOps pipelines covering model training, versioning, deployment, and monitoring in collaboration with AI and data science teams.

We are looking for you if you are:

• Minimum 5+ years of experience in Cloud or Application Development, with at least 2 years in a senior role.
• Advanced experience with container orchestration — Docker and Kubernetes — in production environments.
• Deep knowledge of DevOps practices, CI/CD pipelines (GitLab CI/CD, Jenkins), and enterprise-level automation.
• Expert-level proficiency across AWS, GCP, and Azure, with hands-on experience in multi-cloud strategies and cloud migration projects.
• Advanced experience in Infrastructure as Code using Terraform, including resource lifecycle and state management.
• Extensive experience with SQL and NoSQL databases (e.g. Mongo, Redis, Cassandra, DynamoDB) and designing highly scalable, fault‑tolerant systems.
• Expert knowledge of High Availability, Disaster Recovery, and Business Continuity best practices.
• Advanced experience with observability and monitoring tools (e.g. Prometheus, Grafana, OpenTelemetry, Elastic Stack).
• Foundational to intermediate knowledge of MLOps practices, managed ML platforms (AWS SageMaker, GCP Vertex AI, Azure ML), and AI application infrastructure including LLM API integration patterns.
• Demonstrated leadership, communication, and mentoring skills with a proven ability to lead technical teams and advise clients on cloud strategy.

Would be great if you are:

• Experience in application development with frameworks such as Spring, NodeJS, or similar, with familiarity in microservices and reactive programming patterns.
• Multiple cloud platform certifications (AWS Solutions Architect Professional, GCP Professional Cloud Architect, Azure Solutions Architect Expert, etc).
• Expert-level scripting and coding skills (e.g. Python, Go, Java, Bash, PowerShell).
• Deep expertise in streaming and distributed data technologies such as Kafka and Spark, and cloud-native big data services.
• Advanced Linux system administration including virtualization, network configuration, and systems security.
• Experience with compliance frameworks (SOC2, HIPAA, PCI-DSS, GDPR).
• Experience with FinOps practices and AI/GPU workload cost optimization.
• Hands-on experience with GPU instance management and model serving infrastructure (e.g. Triton Inference Server, vLLM, TorchServe).
• Exposure to LLMOps practices and vector database technologies (e.g. Pinecone, Weaviate, pgvector).
• Knowledge of emerging technologies including serverless computing, edge computing, and containerization at scale.

Final and Most Important Requirement

"Enjoy What You Do!!"

We offer an attractive remuneration package, comprehensive on‑the‑job training on new technologies, and excellent career development opportunities to the right candidate.

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