Total 5 qa engineer job vacancies in D09 Cairnhill, Orchard, River Valley

As a Production Operations Engineer, you will play a critical role in operationalizing, maintaining, scaling, and optimizing our AI-driven applications and supporting infrastructure. With a blend of software development and infrastructure skills, you will work closely with cross-functional teams including software engineers, data scientists, and platform engineers, to ensure the delivery and operation of highly available, low latency, and optimally performing AIproducts.

Your expertise will be crucial in developing solutions, automating processes, monitoring system health, troubleshooting, and managing incidents to ensure our products deliver a seamless experience for our clients.

Key Responsibilities:

• Software Development and Operations:Collaborate with Software Engineers to design, implement, and maintain scalable, efficient, and secure systems using React, Python, Docker, and Kubernetes stack.
  Optimize application performance by profiling and tuning frontend and backend services for speed, scalability, and resilience.
  
• System Monitoring & Maintenance:Monitor production systems and services, ensuring optimal uptime and performance.
  Implement monitoring tools and dashboards for proactive incident detection.
  
• Infrastructure Automation:Automate repetitive tasks, deployment processes, and infrastructure provisioning using tools such as Ansible, Terraform, or similar.
  Develop and maintain CI/CD pipelines to facilitate smooth deployments.
  
• Incident Management & Troubleshooting:Respond to system incidents, troubleshoot issues, and work towards timely resolutions.
  Conduct root cause analysis (RCA) of system failures and develop strategies to prevent future incidents.
  
• Performance Optimization:Optimize AI model deployment and data pipelines for speed, efficiency, and cost-effectiveness.
  Collaborate with data scientists and engineers to ensure AI systems are running efficiently in production environments.
  
• Scalability & Reliability:Design and implement scalable infrastructure solutions for AI applications.
  Ensure system reliability, fault tolerance, and high availability through effective architecture and best practices.
  
• Security & Compliance:Work with security teams to ensure all systems are compliant with company security protocols and industry standards.
  Implement security best practices across production environments.
  

Required Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
• 5+ years of experience in a combination of software development, production operations, DevOps, infrastructure engineering, or security roles.
• Strong application development experience in Javascript and Python, particularly with RESTful API design and development using a service-oriented architecture.
• Strong experience with cloud platforms (AWS, GCP, or Azure).
• Proficiency in container orchestration technologies (e.g., Kubernetes, Docker).
• Solid understanding of CI/CD pipelines and automation tools (Github Actions, ArgoCD, Jenkins, GitLab CI, etc.).
• Experience with infrastructure as code (Terraform, Ansible, etc.).
• Hands-on experience with monitoring and logging tools (Datadog, Prometheus, Grafana, ELK stack, etc.).
• Strong experience with Bash, and other similar scripting languages.
• Solid understanding of frontend frameworks, particularly React, and their interaction with backend services.
• Strong problem-solving skills and attention to detail.
• Experience in handling large-scale distributed systems.

Preferred Qualifications:

• Proficiency in working with NoSQL databases (MongoDB) and understanding of document-based data models.
• Knowledge of object storage systems and experience with S3-compatible APIs (MinIO) for storing and managing large-scale unstructured data.
• Experience in supporting AI/ML pipelines and production systems.
• Knowledge of data engineering and distributed data systems (e.g., Kafka, Spark, Hadoop).
• Understanding of GPU-based infrastructure for AI workloads.
• Familiarity with security best practices in cloud and AI environments.
• Flexible work environment and culture that promotes work-life balance.

As a Production Operations Engineer, you will play a critical role in operationalizing, maintaining, scaling, and optimizing our AI-driven applications and supporting infrastructure. With a blend of software development and infrastructure skills, you will work closely with cross-functional teams including software engineers, data scientists, and platform engineers, to ensure the delivery and operation of highly available, low latency, and optimally performing AIproducts.

Your expertise will be crucial in developing solutions, automating processes, monitoring system health, troubleshooting, and managing incidents to ensure our products deliver a seamless experience for our clients.

Key Responsibilities:

• Software Development and Operations:Collaborate with Software Engineers to design, implement, and maintain scalable, efficient, and secure systems using React, Python, Docker, and Kubernetes stack.
  Optimize application performance by profiling and tuning frontend and backend services for speed, scalability, and resilience.
  
• System Monitoring & Maintenance:Monitor production systems and services, ensuring optimal uptime and performance.
  Implement monitoring tools and dashboards for proactive incident detection.
  
• Infrastructure Automation:Automate repetitive tasks, deployment processes, and infrastructure provisioning using tools such as Ansible, Terraform, or similar.
  Develop and maintain CI/CD pipelines to facilitate smooth deployments.
  
• Incident Management & Troubleshooting:Respond to system incidents, troubleshoot issues, and work towards timely resolutions.
  Conduct root cause analysis (RCA) of system failures and develop strategies to prevent future incidents.
  
• Performance Optimization:Optimize AI model deployment and data pipelines for speed, efficiency, and cost-effectiveness.
  Collaborate with data scientists and engineers to ensure AI systems are running efficiently in production environments.
  
• Scalability & Reliability:Design and implement scalable infrastructure solutions for AI applications.
  Ensure system reliability, fault tolerance, and high availability through effective architecture and best practices.
  
• Security & Compliance:Work with security teams to ensure all systems are compliant with company security protocols and industry standards.
  Implement security best practices across production environments.
  

Required Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
• 5+ years of experience in a combination of software development, production operations, DevOps, infrastructure engineering, or security roles.
• Strong application development experience in Javascript and Python, particularly with RESTful API design and development using a service-oriented architecture.
• Strong experience with cloud platforms (AWS, GCP, or Azure).
• Proficiency in container orchestration technologies (e.g., Kubernetes, Docker).
• Solid understanding of CI/CD pipelines and automation tools (Github Actions, ArgoCD, Jenkins, GitLab CI, etc.).
• Experience with infrastructure as code (Terraform, Ansible, etc.).
• Hands-on experience with monitoring and logging tools (Datadog, Prometheus, Grafana, ELK stack, etc.).
• Strong experience with Bash, and other similar scripting languages.
• Solid understanding of frontend frameworks, particularly React, and their interaction with backend services.
• Strong problem-solving skills and attention to detail.
• Experience in handling large-scale distributed systems.

Preferred Qualifications:

• Proficiency in working with NoSQL databases (MongoDB) and understanding of document-based data models.
• Knowledge of object storage systems and experience with S3-compatible APIs (MinIO) for storing and managing large-scale unstructured data.
• Experience in supporting AI/ML pipelines and production systems.
• Knowledge of data engineering and distributed data systems (e.g., Kafka, Spark, Hadoop).
• Understanding of GPU-based infrastructure for AI workloads.
• Familiarity with security best practices in cloud and AI environments.
• Flexible work environment and culture that promotes work-life balance.

Aicadium is looking for a Software Engineer to join our growing team at our Singapore office.

This person is responsible for designing and developing our backend services for Aicadium Products. This person must be able to drive the programming of well-constructed, testable code.  The ideal candidate will have a broad technical background, a solid understanding of applicable analytics, and a natural curiosity for producing effective solutions. This person is patient, has excellent time-management skills, and possesses an effective communication style.

In addition to a Bachelor's in Computer Science or a related field (or equivalent work experience), the ideal candidate fits the following criteria:

Objectives of this role

• Work across the full stack, building highly scalable distributed solutions that enable positive user experiences and measurable business growth
• Develop and deploy services by working closely with the data science team
• Ensure application performance, uptime, and scale, and maintain high standards for code quality
• Work with agile development methodologies, adhering to best practices and pursuing continued learning opportunities

Responsibilities

• Design, develop, and maintain highly scalable and performant software applications.
• Collaborate with product managers and designers to understand requirements and translate them into technical specifications.
• Participate in all phases of the software development lifecycle, including design, development, testing, deployment, and maintenance.
• Write clean, well-documented, and maintainable code.
• Implement unit and integration tests to ensure software quality.
• Debug and troubleshoot software issues.
• Stay up-to-date with the latest technologies and trends in software development.
• Work effectively in a fast-paced, collaborative environment.
• Communicate effectively with both technical and non-technical stakeholders.

Required skills and qualifications

• Bachelor's degree in Computer Science, Software Engineering, or a related field.
• At least 1+ years of professional experience in software engineering.
• Strong proficiency in at least one high-level programming language (e.g., Python, JavaScript, C++).
• Experience with relational databases (e.g., MySQL, PostgreSQL).
• Experience with version control systems (e.g., Git).
• Experience with cloud platforms and containerization
• Experience with CI/CD pipelines.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.
• Ability to work independently and as part of a team.
• A passion for learning and staying up-to-date with the latest technologies.

Bonus skills

• Experience in Kubernetes and Cloud-native tooling
• Practical familiarity with ML libraries and packages.
• Knowledge of one or many ML frameworks (TensorFlow, PyTorch, sci-kit-learn) and tools (MLflow, Kubeflow, Seldon, etc.).

Preferred skills and qualifications

• Bachelor’s degree (or equivalent) in computer science, information technology, or engineering
• Interest in learning new tools, languages, workflows, and philosophies

About Us:

Aicadium is a global technology company striving to provide AI solutions across multiple industries, by leveraging a common machine learning platform to deliver AI as a Service.

Team:

Join a growing team of data scientists, machine learning, and software engineers in an agile development environment. Work with some of the best in the field to tackle challenging projects and operationalize the solutions you develop across various industries and use cases.

Culture:

We work in a casual and collaborative startup environment. Every team member plays a key role in shaping the solutions we develop and creating positive business value for the companies we work with.

Interested applicants, please click on URL below to apply:

https://aicadium.bamboohr.com/careers/85?source=aWQ9OA%3D%3D

Aicadium is seeking a highly motivated Operations Engineer to join our IT Operations team. As an Operations Engineer, you will spend 4-5 days a week in our office, playing a critical role in ensuring the smooth operation of our systems, infrastructure, and processes. Your expertise will contribute to the success of our employees and products and help deliver exceptional solutions to our clients.

Objectives of this role

• Assist with IT aspects of employee onboarding and offboarding
• Monitor and respond to incoming support requests and tickets
• Maintain inventory management system and device assignment & provisioning
• Maintain an office presence and assist with office-related IT tasks
• Manage access and first-level technical support for our hardware lab
• Develop and maintain documentation for operational procedures, system configurations, and troubleshooting guides.
• Implement automation and monitoring tools to enhance operational efficiency and proactively detect anomalies or potential problems.
• Conduct regular audits of infrastructure and systems to ensure compliance with industry standards and best practices.
• Stay updated with the latest trends and advancements in operations, infrastructure, and tools, and recommend improvements to enhance our capabilities.

Required skills and qualifications

• Strong communication and collaboration skills to work effectively with cross-functional teams.
• Proactive mindset with a continuous improvement approach to enhance operational processes and systems.
• Excellent problem-solving and analytical skills, with the ability to quickly diagnose and resolve operational problems.
• Familiarity with Apple ecosystem (MacOS, IOS, Apple hardware, and devices)

Preferred skills and qualifications

• Bachelor’s degree (or equivalent) in Computer Science, Information Technology, or Engineering
• Familiarity with scripting languages, infrastructure-as-code, or automation tools
• Familiarity with ITSM best practices or experience in a formalized operations environment
• Experience with end-user compute management tools (MDM, UBA, Security/Policy management, etc)

About Us:

Aicadium is a global technology company striving to provide AI solutions across multiple industries by leveraging a common machine learning platform to deliver AI as a Service.

Team:

Join a growing team of data scientists, machine learning and software engineers in an agile development environment. Work with some of the best in the field to tackle challenging projects and operationalize the solutions you develop across various industries and use cases.

Culture:

We work in a casual and collaborative environment. Every team member plays a key role in shaping the solutions we develop and creating positive business value for the companies we work with.

Interested applicants, please click on URL below to apply:

https://aicadium.bamboohr.com/careers/88

Aicadium is looking for a Software Engineer to join our growing team at our Singapore office.

This person is responsible for designing and developing our backend services for Aicadium Products. This person must be able to drive the programming of well-constructed, testable code.  The ideal candidate will have a broad technical background, a solid understanding of applicable analytics, and a natural curiosity for producing effective solutions. This person is patient, has excellent time-management skills, and possesses an effective communication style.

In addition to a Bachelor's in Computer Science or a related field (or equivalent work experience), the ideal candidate fits the following criteria:

Objectives of this role

• Work across the full stack, building highly scalable distributed solutions that enable positive user experiences and measurable business growth
• Develop and deploy services by working closely with the data science team
• Ensure application performance, uptime, and scale, and maintain high standards for code quality
• Work with agile development methodologies, adhering to best practices and pursuing continued learning opportunities

Responsibilities

• Design, develop, and maintain highly scalable and performant software applications.
• Collaborate with product managers and designers to understand requirements and translate them into technical specifications.
• Participate in all phases of the software development lifecycle, including design, development, testing, deployment, and maintenance.
• Write clean, well-documented, and maintainable code.
• Implement unit and integration tests to ensure software quality.
• Debug and troubleshoot software issues.
• Stay up-to-date with the latest technologies and trends in software development.
• Work effectively in a fast-paced, collaborative environment.
• Communicate effectively with both technical and non-technical stakeholders.

Required skills and qualifications

• Bachelor's degree in Computer Science, Software Engineering, or a related field.
• At least 1+ years of professional experience in software engineering.
• Strong proficiency in at least one high-level programming language (e.g., Python, JavaScript, C++).
• Experience with relational databases (e.g., MySQL, PostgreSQL).
• Experience with version control systems (e.g., Git).
• Experience with cloud platforms and containerization
• Experience with CI/CD pipelines.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.
• Ability to work independently and as part of a team.
• A passion for learning and staying up-to-date with the latest technologies.

Bonus skills

• Experience in Kubernetes and Cloud-native tooling
• Practical familiarity with ML libraries and packages.
• Knowledge of one or many ML frameworks (TensorFlow, PyTorch, sci-kit-learn) and tools (MLflow, Kubeflow, Seldon, etc.).

Preferred skills and qualifications

• Bachelor’s degree (or equivalent) in computer science, information technology, or engineering
• Interest in learning new tools, languages, workflows, and philosophies

About Us:

Aicadium is a global technology company striving to provide AI solutions across multiple industries, by leveraging a common machine learning platform to deliver AI as a Service.

Team:

Join a growing team of data scientists, machine learning, and software engineers in an agile development environment. Work with some of the best in the field to tackle challenging projects and operationalize the solutions you develop across various industries and use cases.

Culture:

We work in a casual and collaborative startup environment. Every team member plays a key role in shaping the solutions we develop and creating positive business value for the companies we work with.

Interested applicants, please click on URL below to apply:

https://aicadium.bamboohr.com/careers/85?source=aWQ9OA%3D%3D