Mid-level/Senior Cloud Engineer

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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.Explore more about us at:Your impact: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.Your team: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.Your day-to-day responsibilities:

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

Your ideal profile:For Mid-level Cloud Engineer

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

For Senior Cloud Engineer

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

Common qualifications

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

What's in it for you: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

Amity Solutions

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