Mid-level/Senior Cloud Engineer

Working at Amity Solutions offers an incredible chance to elevate your career within a fast-paced, globally scaling tech company. 🌟 Backed by top venture capital firms, Amity Solutions has raised over $30M in funding. Since early 2023, our focus has shifted toward developing Generative AI-driven applications and solutions, layering new AI capabilities onto our existing SaaS products. Founded in 2012, Amity Solutions is now a team of over 150 colleagues, all contributing to our innovative momentum.

As a Mid-level / Senior Cloud Engineer at Amity Solutions, you will play a critical role in designing, building, and operating our cloud infrastructure platforms that power both traditional SaaS workloads and AI-driven applications.

You will work closely with product, engineering, and AI teams to ensure our cloud environments are scalable, reliable, secure, and cost-efficient, while also enabling modern AI/ML workflows. This role goes beyond infrastructure maintenance—you will help shape how cloud platforms support Generative AI, Model Context Protocol (MCP), and AI-enabled services across the organization.

Your work will directly impact system stability, developer productivity, AI experimentation speed, and the overall reliability of our enterprise platforms.

You will join the Platform Team, a cross-functional group responsible for cloud infrastructure, Kubernetes platforms, CI/CD pipelines, security foundations, and operational excellence.

The team works closely with backend, frontend, data, and AI engineers to enable fast, safe, and scalable product delivery. We value ownership, clear communication, and automation-first thinking across the platform lifecycle.

• →Design, implement, and maintain cloud infrastructure to ensure high availability, scalability, and reliability
• →Collaborate with application, data, and AI teams to design cloud-native and cost-efficient solutions
• →Operate and continuously improve Kubernetes platforms and container-based workloads
• →Build and maintain Infrastructure as Code (IaC) using tools such as Terraform, CloudFormation, Ansible, or Pulumi
• →Design, operate, and optimize CI/CD pipelines following DevOps and GitOps best practices
• →Monitor system performance, reliability, and costs; proactively identify and resolve issues
• →Ensure cloud security, compliance, and best practices across environments
• →Support serverless architectures and event-driven workloads (e.g., AWS Lambda, Azure Functions, GCP Functions)
• →Enable and support AI/ML workloads, including infrastructure for model training, inference, and AI-driven workflows
• →Configure, manage, and troubleshoot Model Context Protocol (MCP) for AI/ML workloads and internal AI systems
• →Document platform designs, operational procedures, and architectural decisions
• →(Senior level) Provide technical leadership, review designs, and mentor junior engineers

• 3–5 years of hands-on experience in cloud engineering or DevOps roles
• Solid experience with at least one major cloud provider (AWS, Azure, or Google Cloud)
• Practical experience with CI/CD pipelines, Infrastructure as Code, and container platforms
• Good understanding of cloud security fundamentals and operational best practices
• Ability to work independently on core infrastructure responsibilities
• Strong problem-solving skills and clear communication

• 5+ years of experience in cloud engineering, platform engineering, or DevOps
• Proven experience designing and evolving cloud architectures at scale
• Strong expertise in Kubernetes platform operations and cloud-native architectures
• Experience leading technical decisions and mentoring other engineers
• Ability to balance reliability, security, cost optimization, and developer experience

• Experience with Linux system administration and shell scripting
• Proficiency in scripting languages such as Python or Bash
• Hands-on experience with containerization technologies (Docker, Kubernetes)
• Familiarity with serverless and event-driven architectures
• Exposure to AI/ML platforms or frameworks (e.g., TensorFlow, PyTorch) is a plus
• Experience integrating or supporting AI/ML workloads and MCP configuration is highly valued
• Strong collaboration, communication, and an ownership mindset

At Amity Solutions, we are dedicated to creating a dynamic and supportive work environment that prioritizes growth, learning, and inclusivity. As an equal opportunity employer, we welcome applicants from all backgrounds, embracing diversity in ethnicity, gender, disability, religion, belief, sexual orientation, and age. Join our Bangkok team to enjoy a wide range of benefits as we innovate and grow together.

Discover more about our team values, benefits, and career opportunities at Amity Solutions Bangkok on our official website.