Total 2 job vacancies by Onebyzero Pte. Ltd.

About OnebyZero

OnebyZero is a next-generation Data and AI consulting company, headquartered in Singapore and driving impact across APAC. As an AWS-exclusive partner, we help enterprises modernize data, transform with AI, and apply Generative AI in ways that deliver real business results.

Our vision is simple while at the same time ambitious: to make AI adoption both impactful and human-centered. We collaborate with leading enterprises in banking, telecommunications, retail, and other industries to help them unlock tangible value from their data and AI initiatives. By combining deep industry expertise, trusted partnerships, and a relentless focus on outcomes, OnebyZero empowers organizations to go beyond pilots and achieve lasting, scaled impact

About the Role

We are seeking an experienced and highly skilled Senior DevOps Engineer to lead and enhance our cloud infrastructure and deployment processes. In this role, you will work with cross-functional teams to design, implement, and maintain robust, scalable, and secure infrastructure, primarily on AWS. You will be a key player in automating processes and ensuring smooth operations across development and production environments, while mentoring junior engineers. 

What You'll Do & The Impact You'll Have

• Architect, design, and implement scalable infrastructure solutions on AWS using best practices. 
  

• Lead the automation of infrastructure provisioning using Infrastructure as Code (IaC) tools like Terraform, AWS CDK, or CloudFormation. 
  

• Build and manage CI/CD pipelines for continuous integration and continuous delivery using tools like Jenkins, GitLab CI, or AWS CodePipeline. 
  

• Monitor, troubleshoot, and optimize performance and reliability of cloud-based environments. 
  

• Implement security best practices and ensure that cloud environments are compliant with internal and external standards. 
  

• Automate repetitive tasks and processes with scripting in Python, Bash, or other tools. 
  

• Manage and optimize resource utilization and cost in AWS environments. 
  

• Oversee the administration and management of Linux environments in production and development. 
  

• Mentor junior team members and provide guidance on DevOps best practices. 
  

• Collaborate with development and operations teams to streamline workflows and improve productivity. 
  
  

Requirements

What You'll Bring to the Table

Must-Have Skills:

• 5+ years of hands-on experience in a DevOps Engineer role, or similar positions. 
  

• Extensive experience with AWS services (EC2, S3, VPC, Lambda, RDS, etc.) 
  

• Strong proficiency in Infrastructure as Code (IaC) using Terraform, AWS CDK, or CloudFormation. 
  

• Demonstrated expertise in building, managing, and automating CI/CD pipelines (e.g., GitHub Actions, Jenkins). 
  

• Advanced scripting skills in Python and Bash for automation and tool development. 
  

• Expertise in Linux system administration (Ubuntu, CentOS, etc.). 
  

• Deep understanding of networking, security practices, and monitoring in cloud environments. 
  

• Experience with containerization and orchestration tools such as Docker and Kubernetes. 
  

• Cloud Platforms: Advanced AWS Cloud expertise (EC2, VPC, S3, Lambda, RDS, CloudFront, etc.) 
  

• IaC Tools: Terraform, AWS CDK, CloudFormation 
  

• CI/CD Tools: GitHub Actions, Jenkins 
  

• Scripting Languages: Python, Bash 
  

• Containerization: Docker, Kubernetes 
  

• Operating Systems: Linux (Ubuntu, CentOS, etc.) 
  

• Version Control: Git, GitHub, GitLab 
  

• Monitoring & Logging: CloudWatch, Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana) 
  

• Security: AWS Identity and Access Management (IAM), security groups, VPC, and encryption best practices 
  

Nice-to-Have Skills:

• AWS Certifications (Solutions Architect, Developer, SysOps Administrator, DevOps Engineer). 
  

• Experience with serverless technologies such as AWS Lambda and API Gateway. 
  

• Expertise with configuration management tools 
  

• Strong understanding of microservices architecture and container orchestration with Kubernetes. 
  

• Experience with cost optimization in cloud environments. 
  

• Familiarity with Agile methodologies and DevOps principles. 
  

• Excellent communication and collaboration skills, with experience working in cross-functional teams. 
  

• Ability to lead and mentor junior DevOps engineers and collaborate effectively with stakeholders. 
  

Benefits

What We Bring to the Table

• Impact-First Culture: Your work directly contributes to real-world AI solutions and business outcomes.
  
• Professional Growth: Continuous learning opportunities, mentorship from industry leaders, and a clear path for career development.
  
• Competitive Compensation: Market-leading salary, benefits, and incentives.
  
• Dynamic Team Environment: Collaborate with a high-performing team that values curiosity, integrity, and ownership.
  
• Global Exposure: Opportunities for international travel.
  

OnebyZero is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

About OnebyZero OnebyZero is a next-generation Data and AI consulting company, headquartered in Singapore and driving impact across APAC. As an AWS-exclusive partner, we help enterprises modernize data, transform with AI, and apply Generative AI in ways that deliver real business results. 

Our vision is simple while at the same time ambitious: to make AI adoption both impactful and human-centered. We collaborate with leading enterprises in banking, telecommunications, retail, and other industries to help them unlock tangible value from their data and AI initiatives. By combining deep industry expertise, trusted partnerships, and a relentless focus on outcomes, OnebyZero empowers organizations to go beyond pilots and achieve lasting, scaled impact. 

About the Role We are seeking a GenAI Engineer with 3–6 years of experience to design and build production-grade AI systems using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agent-based architectures. This role requires strong engineering depth combined with applied AI expertise to deliver scalable, reliable, and efficient AI-powered applications. 

What You'll Do & The Impact You'll Have 

• Design and build production-grade AI features leveraging LLMs, RAG pipelines, and agent-based systems. 
• Implement end-to-end RAG pipelines including retrieval strategies, embeddings, vector search optimization, context orchestration, guardrails, and fallback mechanisms. 
• Orchestrate agent workflows using frameworks such as LangGraph, LangChain, or similar, ensuring clear state management and safe multi-step reasoning. 
• Develop and deploy cloud-native microservices and APIs (REST/gRPC) to serve AI applications at scale. 
• Build and optimize event-driven architectures for real-time AI system interactions. 

• Work with graph databases (e.g., Neo4j, Amazon Neptune) to model and query complex relationships. 
• Fine-tune models and optimize performance for domain-specific use cases. 
• Ensure production reliability including latency optimization, throughput scaling, token efficiency, and cost control. 
• Implement observability, monitoring, and logging for AI systems, including prompt/model versioning and rollback strategies. 
• Collaborate with cross-functional teams including data scientists, engineers, and product stakeholders to deliver impactful AI solutions. 

What You'll Bring to the Table 

Must-Have Skills: 

• Experience: 3–6 years in AI/ML engineering, software engineering, or applied AI roles. 
• Hands-on experience building production-grade applications using LLMs, RAG, and agent-based systems. 
• Strong programming skills in Python, with exposure to Node.js, Java, or Go. 
• Experience designing cloud-native architectures including microservices, REST/gRPC APIs, and event-driven systems. 
• Solid understanding of embeddings, vector databases, and retrieval strategies. 
• Experience with agent orchestration frameworks (e.g., LangChain, LangGraph) or similar. 
• Exposure to model fine-tuning and performance optimization techniques. 
• Experience working with graph databases such as Neo4j or Amazon Neptune. 
• Strong understanding of system performance, scalability, and cost optimization in AI systems. 
• Experience implementing observability, monitoring, and debugging for production systems. 
• Strong problem-solving skills and ability to work in a fast-paced, collaborative environment. 

Nice-to-Have Skills: 

• Experience with cloud platforms (AWS, GCP, or Azure) for deploying AI systems. 
• Familiarity with containerization and orchestration (Docker, Kubernetes). 
• Exposure to prompt engineering techniques and evaluation frameworks. 
• Experience working in consulting or client-facing environments. 
• Computer Vision skills

What We Bring to the Table 

• Impact-First Culture: Your work directly contributes to real-world AI solutions and business outcomes. 
• Professional Growth: Continuous learning opportunities, mentorship from industry leaders, and a clear path for career development. 
• Competitive Compensation: Market-leading salary, benefits, and incentives. 
• Dynamic Team Environment: Collaborate with a high-performing team that values curiosity, integrity, and ownership. 
• Global Exposure: Opportunities for international travel. 

OnebyZero is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.