Total 3 job vacancies by Equative Solutions Pte. Ltd.

Job Summary

Design, implement, and maintain scalable and secure cloud infrastructure and deployment pipelines to drive high availability and system resilience. Collaborate with development teams to optimize deployment and release processes, ensuring operational excellence.

Responsibilities

• Design, implement, and maintain cloud infrastructure and deployment pipelines to support scalable and reliable applications
• Manage containerized applications using Kubernetes and Docker to ensure efficient orchestration and deployment
• Automate infrastructure provisioning and configuration using Infrastructure as Code (IaC) tools such as Terraform to enhance repeatability and reduce errors
• Monitor system performance continuously to maintain high availability and reliability of services
• Collaborate with development teams to streamline deployment and release processes, improving delivery speed and quality
• Implement security best practices and ensure system scalability and resilience to meet evolving business needs

Preferred competencies and qualifications

• Experience working with AWS, Azure, or GCP cloud platforms to deploy and manage cloud resources
• Hands-on experience with Kubernetes and Docker for container orchestration and management
• Strong experience with Terraform or other Infrastructure as Code (IaC) tools to automate infrastructure deployment
• Knowledge of CI/CD pipelines and automation tools to support continuous integration and delivery
• Strong understanding of cloud architecture and DevOps practices to design and operate efficient cloud environments

Job Summary

Design and develop mobile applications using modern frameworks while collaborating with backend and cross-functional teams to deliver scalable, high-performance solutions that optimize data processing and real-time streaming.

Responsibilities

• Design and develop mobile applications using Flutter or React Native frameworks to deliver intuitive user experiences
• Integrate mobile applications with backend APIs and services to ensure seamless data exchange and functionality
• Manage and optimize data pipelines and databases such as PostgreSQL and Snowflake to support application performance and scalability
• Implement scalable data processing solutions and real-time data streaming using Apache Kafka and event-driven architectures
• Collaborate with cross-functional teams to troubleshoot, enhance, and maintain mobile application performance and reliability
• Apply strong understanding of mobile architecture and data workflows to design efficient and maintainable solutions

Preferred competencies and qualifications

• Strong experience with Flutter or React Native to build and maintain mobile applications
• Experience working with PostgreSQL and Snowflake databases for data management and optimization
• Knowledge of Apache Kafka and event-driven architectures to implement real-time data streaming
• Experience integrating mobile applications with backend services and APIs to ensure robust connectivity
• Strong understanding of mobile architecture and data workflows to support scalable application design

Job Summary

Design and develop innovative solutions integrating Generative AI and Large Language Model (LLM) technologies into enterprise systems to drive intelligent automation and scalable AI-enabled applications.

Responsibilities

• Design and develop enterprise system solutions that integrate Generative AI and LLM technologies to enhance business capabilities.
• Build and maintain AI-driven applications using modern AI frameworks to deliver intelligent automation and improved user experiences.
• Implement and manage vector databases and knowledge retrieval systems to optimize data access and AI model performance.
• Collaborate effectively with engineering and product teams to develop and deploy intelligent automation solutions aligned with business goals.
• Ensure AI-enabled systems meet scalability, performance, and security standards to support robust enterprise operations.
• Apply hands-on expertise in Python programming, API development, and AI model integration to build and enhance AI applications.
• Utilize LangChain frameworks to develop and optimize AI workflows and application functionalities.
• Apply a strong understanding of AI-driven application architecture to design solutions that are efficient, maintainable, and scalable.