

About us:
HappyFox is a software-as-a-service (SaaS) support platform. We offer an enterprise-grade help desk ticketing system and intuitively designed live chat software.
We serve over 12,000 companies in 70+ countries. HappyFox is used by companies that span across education, media, e-commerce, retail, information technology, manufacturing, non-profit, government and many other verticals that have an internal or external support function.
To know more, Visit! - https://www.happyfox.com/
Responsibilities
- Build and scale production infrastructure in AWS for the HappyFox platform and its products.
- Research, Build/Implement systems, services and tooling to improve uptime, reliability and maintainability of our backend infrastructure. And to meet our internal SLOs and customer-facing SLAs.
- Implement consistent observability, deployment and IaC setups
- Lead incident management and actively respond to escalations/incidents in the production environment from customers and the support team.
- Hire/Mentor other Infrastructure engineers and review their work to continuously ship improvements to production infrastructure and its tooling.
- Build and manage development infrastructure, and CI/CD pipelines for our teams to ship & test code faster.
- Lead infrastructure security audits
Requirements
- At least 7 years of experience in handling/building Production environments in AWS.
- At least 3 years of programming experience in building API/backend services for customer-facing applications in production.
- Proficient in managing/patching servers with Unix-based operating systems like Ubuntu Linux.
- Proficient in writing automation scripts or building infrastructure tools using Python/Ruby/Bash/Golang
- Experience in deploying and managing production Python/NodeJS/Golang applications to AWS EC2, ECS or EKS.
- Experience in security hardening of infrastructure, systems and services.
- Proficient in containerised environments such as Docker, Docker Compose, Kubernetes
- Experience in setting up and managing test/staging environments, and CI/CD pipelines.
- Experience in IaC tools such as Terraform or AWS CDK
- Exposure/Experience in setting up or managing Cloudflare, Qualys and other related tools
- Passion for making systems reliable, maintainable, scalable and secure.
- Excellent verbal and written communication skills to address, escalate and express technical ideas clearly
- Bonus points – Hands-on experience with Nginx, Postgres, Postfix, Redis or Mongo systems.

About HappyFox
About
HappyFox is a software-as-a-service (SaaS) support platform. We offer an enterprise-grade help desk ticketing system and intuitively designed live chat software.
We serve over 12,000 companies in 70+ countries. HappyFox is used by companies that span across education, media, e-commerce, retail, information technology, manufacturing, non-profit, government and many other verticals that have an internal or external support function.
To know more, Visit! https://www.happyfox.com/
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We are seeking a highly skilled Solution Architect to join our dynamic team in Tokyo. The ideal candidate will have substantial experience in designing, implementing, and deploying cutting-edge solutions involving Machine Learning (ML), Cloud Computing, Full Stack Development, and Kubernetes. The Solution Architect will play a key role in architecting and delivering innovative solutions that meet business objectives while leveraging advanced technologies and industry best practices.
Job Title: Solution Architect ML, Cloud
Experience:5-10 years
Client Location: Bangalore
Work Location: Tokyo, Japan (Onsite)
We are seeking a highly skilled Solution Architect to join our dynamic team in Tokyo. The ideal candidate will have substantial experience in designing, implementing, and deploying cutting-edge solutions involving Machine Learning (ML), Cloud Computing, Full Stack Development, and Kubernetes. The Solution Architect will play a key role in architecting and delivering innovative solutions that meet business objectives while leveraging advanced technologies and industry best practices.
Job Title: Solution Architect (ML, Cloud)
Location: Tokyo, Japan (Onsite)
Experience: 5-10 years
Overview: We are looking for a skilled Solution Architect with expertise in Machine Learning (ML), Cloud Computing, Full Stack Development, and Kubernetes to join our team in Tokyo. The ideal candidate will be responsible for designing and implementing cutting-edge, scalable solutions while leveraging the latest technologies and best practices to meet business objectives.
Key Responsibilities:
Collaborate with stakeholders to understand business needs and develop scalable, efficient technical solutions.
Architect and implement complex systems integrating Machine Learning, Cloud platforms (AWS, Azure, Google Cloud), and Full Stack Development.
Lead the development and deployment of cloud-native applications using NoSQL databases, Python, and Kubernetes.
Design and optimize algorithms to improve performance, scalability, and reliability of solutions.
Review, validate, and refine architecture to ensure flexibility, scalability, and cost-efficiency.
Mentor development teams and ensure adherence to best practices for coding, testing, and deployment.
Contribute to the development of technical documentation and solution roadmaps.
Stay up-to-date with emerging technologies and continuously improve solution design processes.
Required Skills & Qualifications:
5-10 years of experience as a Solution Architect or similar role with expertise in ML, Cloud, and Full Stack Development.
Proficiency in at least two major cloud platforms (AWS, Azure, Google Cloud).
Solid experience with Kubernetes for container orchestration and deployment.
Hands-on experience with NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB).
Expertise in Python and ML frameworks like TensorFlow, PyTorch, etc.
Practical experience implementing at least two real-world algorithms (e.g., classification, clustering, recommendation systems).
Strong knowledge of scalable architecture design and cloud-native application development.
Familiarity with CI/CD tools and DevOps practices.
Excellent problem-solving abilities and the ability to thrive in a fast-paced environment.
Strong communication and collaboration skills with cross-functional teams.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
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Experience with microservices and containerization.
Knowledge of distributed systems and high-performance computing.
Cloud certifications (AWS Certified Solutions Architect, Google Cloud Professional Architect, etc.).
Familiarity with Agile methodologies and Scrum.
Japanese language proficiency is an added advantage (but not mandatory).
Skills : ML, Cloud (any two major clouds), algorithms (two algorithms must be implemented), full stack, kubernatics, no sql, Python
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- Proven experience 5-10 years) as a Solution Architect or similar role, with deep expertise in Machine Learning, Cloud Architecture, and Full Stack Development.
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