Cloud Engineer (AWS/Azure/DevSecOps/English) upto $3000

Top 3 reasons to join us

• Global Team, Innovative Culture
• You Set the Salary
• The Best Tools & Environment

Job description

About Votee AI
Votee AI is an enterprise AI startup providing enterprise-grade AI technologies to market research platforms, customer experience platforms, social listening platforms, contact center solutions, and business workflow automation applications. Our AI technologies include speech recognition, sentiment analysis, custom classifiers, handwritten OCR, document AI, and generative AI. We provide Cantonese LLM to community and enterprise. We provide our solutions on the cloud (AWS, GCP, Azure) and on-premise.
With a global presence across Hong Kong, Vietnam, Canada, and Malaysia, we are on a mission to build artificial intelligence that truly understands the world's diverse cultures.
 

The Opportunity: Your Mission
This is more than a development role; it's an opportunity to be a pioneer at the intersection of AI, culture, and technology. As a key member of our growing Vietnam team, you will be instrumental in building and scaling our core "Votee MAGIC" platform—a revolutionary system for creating and deploying teams of intelligent AI agents. You will work on our most critical technical challenges, architecting the very systems that form our core intellectual property and deliver next-generation AI solutions to our clients.

Your skills and experience

• What You'll Do (Key Responsibilities)

- Design, deploy, and maintain robust, scalable, and secure cloud infrastructure across multiple cloud providers (AWS, Azure, GCP) and on-premise environments.

- Architect and implement containerized solutions using Docker and orchestrate complex deployments on Kubernetes (K8s) clusters.

- Deploy, configure, and operate critical data infrastructure including PostgreSQL, MongoDB, OpenSearch, service buses, message queues, and serverless functions (Lambda).

- Build and maintain CI/CD pipelines for automated deployment and infrastructure-as-code practices using tools like Terraform, CloudFormation, or ARM templates.

- Collaborate closely with development teams to optimize application performance, scalability, and reliability in cloud-native and hybrid environments.

- Implement monitoring, logging, and alerting solutions to ensure high availability and proactive incident response.
- Champion cloud security best practices, including network security, identity and access management, and compliance requirements. 

- Support the deployment and scaling of AI/ML workloads, including model inference pipelines and data processing workflows.

- Contribute to disaster recovery planning, backup strategies, and business continuity initiatives.
 

• What You'll Bring (Qualifications)

Must-Haves:

- Minimum of 3 years of professional experience in cloud engineering, DevOps, or infrastructure roles.

- Strong expertise in Docker containerization and Linux system administration.
 

- Hands-on experience deploying and operating:
  + Database systems (PostgreSQL, MongoDB).
  + Search platforms (OpenSearch/Elasticsearch).
  + Message queues and service buses (RabbitMQ, Apache Kafka, AWS SQS, Azure Service Bus).
  + Serverless functions (AWS Lambda, Azure Functions, Google Cloud Functions).

- Proficiency with at least one major cloud platform (AWS, Azure, Google Cloud, or Oracle Cloud).

- Solid understanding of microservices architecture and distributed systems.

- Production experience with Kubernetes (K8s) including deployment, scaling, and troubleshooting.

- Experience with on-premise infrastructure deployment and hybrid cloud architectures.

- Strong problem-solving skills and ability to work in a fast-paced startup environment.
 

Huge Plus / Preferred Qualifications:

- Experience with both AWS and Azure cloud platforms.

- Hands-on experience with AI Operations (AI Ops) including:

- Automatic Speech Recognition (ASR) systems.

- Text-to-Speech (TTS) services.

- Large Language Model (LLM) deployment and scaling.

- ML model serving and inference optimization.

- Infrastructure-as-Code experience with Terraform, CloudFormation, or similar tools.

- Experience with monitoring and observability tools (Prometheus, Grafana, ELK stack)

- Knowledge of network architecture, VPNs, and security protocols.

- Experience with GitOps workflows and automated deployment pipelinesUnderstanding of cost optimization strategies for cloud resources.

- Excellent communication skills and collaborative mindset for working with cross-functional teams.

Why you'll love working here

• You Set the Salary: Our approach to compensation is different. Rather than using predefined salary bands, we believe you are best positioned to name a figure that aligns with the value you offer. We are committed to a respectful, data-driven evaluation of your proposal, free from negotiation tactics or pressure. Our focus is on finding the right person for the role, not a one-size-fits-all expert.
• Dive into Cutting-Edge AI: This isn't just another tech job. You'll be at the heart of innovation, working on groundbreaking projects that are pushing the boundaries of what's possible with AI.
• Global Team, Innovative Culture: Be part of a dynamic, young, and innovative global team. We foster a collaborative environment where new ideas are celebrated.
• The Best Tools & Environment: We provide you with a latest model MacBook and all the tools you need to succeed. Work from the first-ever "green office" in Ho Chi Minh City, a refreshing and inspiring environment surrounded by nature.
• Ownership Potential: A unique opportunity to be considered for our Employee Stock Ownership Plan (ESOP), offering a potential stake in our collective success.