399 Cloud Analytics jobs in Singapore

Cloud Data & Analytics Technology Lead page is loadedCloud Data & Analytics Technology Lead Apply locations Singapore, SG-Amplify Health time type Full time posted on Posted 7 Days Ago job requisition id JR-57675

Do meaningful work with us. Every day.

At Amplify Health, we’re looking for individuals with ambition, resilience and passion for healthcare, insurance, wellness and digital technology. As a fast-growing business with the ambition of making people and communities across Asia healthier, we have exciting career opportunities available to help us achieve our vision.

Who we are

Amplify Health Asia Pte. Limited (Amplify Health) is a leading health technology and analytics organisation, providing our customers with integrated solutions to improve outcomes for individuals and the sustainability of health systems.

We aim to be a trusted custodian of Asia's largest repository of health data, unifying financial, clinical, operational and behavioural data to empower our customers with insights that highlight opportunities to deliver better value and care outcomes.

We’ve set a bold vision

The vision for Amplify Health is to be a leading digital health technology and integrated solutions business.

Our Culture and Values

At Amplify Health, we believe in fostering a culture that embodies the spirit of Courageous Entrepreneurs. We are passionate and innovative individuals who continuously strive to push boundaries and think outside the box. We understand that calculated risks are essential for driving progress, and we view failures as valuable opportunities to learn and grow.

As Outstanding People, collaboration, learning, and growth are at the core of our values. We trust and rely on each other, working together as a unified team to achieve our goals. When success comes our way, we celebrate it as a collective achievement, and we are committed to improving and excelling together.

We firmly believe in the mantra of Discuss, Decide, Do. Listening is fundamental in our decision-making process, and we act promptly, ensuring accountability in everything we do. Simplicity is the key to our efficiency, and we get things done quickly and effectively while being guided by facts and understanding.

At the heart of our pursuits lies a Lasting Impact. We prioritize the needs of our customers, and we are crystal clear about the problems we are solving for them. Progress is our north star, and while we strive for excellence, we acknowledge that perfection is a journey, and we remain focused on delivering excellent products that make a tangible difference.

If you are a passionate and innovative individual who thrives in a collaborative environment, where courage is celebrated, and customer focus is paramount, we invite you to join our team. Together, we will shape the future with our unwavering commitment to excellence and the determination to make a lasting impact in the industry.

How you would make a difference

• Lead development and production deployment of enterprise-level analytic data products (also potentially pilots and proof of concepts), determining appropriate design strategies and methodologies.
• Find creative solutions to challenging problems involving factors with potentially broad implications; reflecting on solutions, measuring impact, and using that information to ideate and optimize.
• Execute data strategies with an understanding of enterprise architecture, consumption patterns, platforms and application infrastructure.
• Develop business partnerships and influence priorities by identifying solutions that are aligned with current business objectives and closely follow industry trends.
• Communicate with partners, describing technology concepts in ways the business can understand, documenting initiatives in a concise and clear manner, and empathetically and actively listening to other’s thoughts and ideas.
• Partner with data management & information security colleagues to ensure the protection of highly sensitive datasets.
• Maintain relationships with partner teams to ensure needs are met and impacted areas plan work accordingly.
• Present analysis and recommendations to help influence strategic decisions.
• Lead and take action, inspire and motivate others, and be effective at influencing team members.
• Guide and coach team members, focusing on individual’s professional development as well as overall team health and technical proficiency.

What you need to be successful

• Preferably 10+ years of work experience building, managing, and leading high-performing, diverse, collaborative, and geographically distributed data engineering teams.
• Demonstrated ability as a strategic technical partner, working collaboratively with data analytics, data science, product, engineering, and other cross-functional partners, to plan, prioritize, and achieve company goals.
• Experience starting, leading, and evolving technical forums, with effective soft skills, as well as representing data engineering and architectural considerations in cross-team settings.
• Experience developing and nurturing data engineering talent, including implementing training, upskilling, and mentorship plans.
• Expert-level engineering, architecture, and system design knowledge, with strong computer science fundamentals.
• Experience developing efficient and scalable production software in Python, Java, or other programming languages commonly used in data engineering.
• Understanding of event-driven and/or streaming workflows with tools like Kafka and Spark Aptitude with ETL concepts and tools, including experience ingesting, processing, and transforming a variety of data at scale Proficiency with SQL and NoSQL databases, data warehousing concepts, and cloud-based analytics databases Experience with some of the following tools & platforms (or similar): Azure (ADLS, ADF, AKS, Synapse, Purview), Databricks, Python, JavaScript, Kafka, dbt, Terraform, Snowflake, SQL, Jenkins, Github, Airflow, MLFlow Knowledge and experience with the some of the following concepts: Real-time & Batch Data Processing, Workload Orchestration, Cloud, Datalakes, Data Security, Networking, Serverless, Testing / Test Automation (Unit, Integration, Performance, etc.), WebServices, DevOps, Logging, Monitoring, and Alerting, Containerization, Encryption / Decryption, Data Masking, Cost & Performance Optimization.
• Excellent written and oral communication skills, with a demonstrated ability to communicate complex concepts to a wide range of audiences.
• Ability to thrive in a fast-paced, agile, and dynamic environment, while exuding a can-do attitude Ability to handle multiple concurrent projects while working independently and in teams of all sizes with representatives from a diverse set of technical backgrounds.
• Bachelor’s or master’s degree in computer science or equivalent; team leadership and management training is a plus.

You must provide all requested information, including Personal Data, to be considered for this career opportunity. Failure to provide such information may influence the processing and outcome of your application. You are responsible for ensuring that the information you submit is accurate and up-to-date.

Cloud Data & Analytics Technology Lead page is loaded

Cloud Data & Analytics Technology Lead

Do meaningful work with us. Every day.

At Amplify Health, we’re looking for individuals with ambition, resilience and passion for healthcare, insurance, wellness and digital technology. As a fast-growing business with the ambition of making people and communities across Asia healthier, we have exciting career opportunities available to help us achieve our vision.

Who we are

Amplify Health Asia Pte. Limited (Amplify Health) is a leading health technology and analytics organisation, providing our customers with integrated solutions to improve outcomes for individuals and the sustainability of health systems.

We aim to be a trusted custodian of Asia's largest repository of health data, unifying financial, clinical, operational and behavioural data to empower our customers with insights that highlight opportunities to deliver better value and care outcomes.

We’ve set a bold vision

The vision for Amplify Health is to be a leading digital health technology and integrated solutions business.

Our Culture and Values

At Amplify Health, we believe in fostering a culture that embodies the spirit of Courageous Entrepreneurs. We are passionate and innovative individuals who continuously strive to push boundaries and think outside the box. We understand that calculated risks are essential for driving progress, and we view failures as valuable opportunities to learn and grow.

As Outstanding People, collaboration, learning, and growth are at the core of our values. We trust and rely on each other, working together as a unified team to achieve our goals. When success comes our way, we celebrate it as a collective achievement, and we are committed to improving and excelling together.

We firmly believe in the mantra of Discuss, Decide, Do. Listening is fundamental in our decision-making process, and we act promptly, ensuring accountability in everything we do. Simplicity is the key to our efficiency, and we get things done quickly and effectively while being guided by facts and understanding.

At the heart of our pursuits lies a Lasting Impact. We prioritize the needs of our customers, and we are crystal clear about the problems we are solving for them. Progress is our north star, and while we strive for excellence, we acknowledge that perfection is a journey, and we remain focused on delivering excellent products that make a tangible difference.

If you are a passionate and innovative individual who thrives in a collaborative environment, where courage is celebrated, and customer focus is paramount, we invite you to join our team. Together, we will shape the future with our unwavering commitment to excellence and the determination to make a lasting impact in the industry.

How you would make a difference

• Lead development and production deployment of enterprise-level analytic data products (also potentially pilots and proof of concepts), determining appropriate design strategies and methodologies.
• Find creative solutions to challenging problems involving factors with potentially broad implications; reflecting on solutions, measuring impact, and using that information to ideate and optimize.
• Execute data strategies with an understanding of enterprise architecture, consumption patterns, platforms and application infrastructure.
• Develop business partnerships and influence priorities by identifying solutions that are aligned with current business objectives and closely follow industry trends.
• Communicate with partners, describing technology concepts in ways the business can understand, documenting initiatives in a concise and clear manner, and empathetically and actively listening to other’s thoughts and ideas.
• Partner with data management & information security colleagues to ensure the protection of highly sensitive datasets.
• Maintain relationships with partner teams to ensure needs are met and impacted areas plan work accordingly.
• Present analysis and recommendations to help influence strategic decisions.
• Lead and take action, inspire and motivate others, and be effective at influencing team members.
• Guide and coach team members, focusing on individual’s professional development as well as overall team health and technical proficiency.

What you need to be successful

• Preferably 10+ years of work experience building, managing, and leading high-performing, diverse, collaborative, and geographically distributed data engineering teams.
• Demonstrated ability as a strategic technical partner, working collaboratively with data analytics, data science, product, engineering, and other cross-functional partners, to plan, prioritize, and achieve company goals.
• Experience starting, leading, and evolving technical forums, with effective soft skills, as well as representing data engineering and architectural considerations in cross-team settings.
• Experience developing and nurturing data engineering talent, including implementing training, upskilling, and mentorship plans.
• Expert-level engineering, architecture, and system design knowledge, with strong computer science fundamentals.
• Experience developing efficient and scalable production software in Python, Java, or other programming languages commonly used in data engineering.
• Understanding of event-driven and/or streaming workflows with tools like Kafka and Spark Aptitude with ETL concepts and tools, including experience ingesting, processing, and transforming a variety of data at scale Proficiency with SQL and NoSQL databases, data warehousing concepts, and cloud-based analytics databases Experience with some of the following tools & platforms (or similar): Azure (ADLS, ADF, AKS, Synapse, Purview), Databricks, Python, JavaScript, Kafka, dbt, Terraform, Snowflake, SQL, Jenkins, Github, Airflow, MLFlow Knowledge and experience with the some of the following concepts: Real-time & Batch Data Processing, Workload Orchestration, Cloud, Datalakes, Data Security, Networking, Serverless, Testing / Test Automation (Unit, Integration, Performance, etc.), WebServices, DevOps, Logging, Monitoring, and Alerting, Containerization, Encryption / Decryption, Data Masking, Cost & Performance Optimization.
• Excellent written and oral communication skills, with a demonstrated ability to communicate complex concepts to a wide range of audiences.
• Ability to thrive in a fast-paced, agile, and dynamic environment, while exuding a can-do attitude Ability to handle multiple concurrent projects while working independently and in teams of all sizes with representatives from a diverse set of technical backgrounds.
• Bachelor’s or master’s degree in computer science or equivalent; team leadership and management training is a plus.

You must provide all requested information, including Personal Data, to be considered for this career opportunity. Failure to provide such information may influence the processing and outcome of your application. You are responsible for ensuring that the information you submit is accurate and up-to-date.

Cloud Services Manager

An exciting opportunity to lead cloud operations within a globally recognised organisation using cutting-edge technologies in AWS and Azure. Work with a highly skilled team in a stable, fast-growing environment that values innovation and operational excellence.

Job Purpose:

Lead and improve daily cloud operations across AWS and Azure to ensure secure, reliable services.

Job Responsibilities:

• Lead and mentor a cloud operations team to maintain performance and uptime.
• Oversee daily operations in AWS and Azure, ensuring high service availability.
• Manage incidents, changes, and service issues for continuous improvement.
• Automate and optimize operations using scripts and Infrastructure-as-Code tools.
• Monitor cloud usage and costs, aligning with compliance and governance standards.

Job Requirements:

• Over 5 years' cloud operations experience, mainly in AWS and Azure platforms.
• At least 1 year managing or mentoring technical cloud teams.
• Hands-on experience with Terraform, Python, PowerShell, and automation.
• Strong understanding of networking and container tools like Docker or Kubernetes.
• Preferred certifications in AWS, Azure, and ITIL service management.

The successful Cloud Services Manager must possess deep cloud expertise, strong leadership, and hands-on automation experience to ensure operational excellence in multi-cloud environments.

If this sounds like you or you're keen to explore this further, let's connect soon. Be part of a team driving secure, scalable cloud solutions across global platforms—let's talk at

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Mission Objective:

A seasoned Microsoft 365 administrator is required to manage and maintain the organization's cloud-based services, ensuring seamless operations and data security.

Key Responsibilities:

• Administer and maintain Microsoft 365 services (Exchange Online, SharePoint, Teams, OneDrive).
• Manage and support Exchange Server environments (both on-premises and cloud).
• Develop and maintain PowerShell scripts for automation and reporting tasks.
• Troubleshoot issues related to SMTP, IMAP, POP3, and email flow.
• Implement and manage security policies, including Data Loss Prevention (DLP) rules and compliance configurations.
• Collaborate with cross-functional teams for integration, updates, and improvements.

Required Skills & Qualifications:

• Proven experience in Microsoft 365 administration (3-5 years).
• Strong expertise in Exchange Online/On-Prem, SharePoint, and Microsoft Teams.
• Proficiency in PowerShell scripting and automation.
• Solid understanding of email protocols (SMTP, IMAP, POP3).
• Experience with security & compliance tools, including DLP and retention policies.

• Lead and mentor a cloud operations team to maintain performance and uptime.
• Oversee daily operations in AWS and Azure, ensuring high service availability.
• Manage incidents, changes, and service issues for continuous improvement.
• Automate and optimize operations using scripts and Infrastructure-as-Code tools.
• Monitor cloud usage and costs, aligning with compliance and governance standards.

• Over 5 years' cloud operations experience, mainly in AWS and Azure platforms.
• At least 1 year managing or mentoring technical cloud teams.
• Hands-on experience with Terraform, Python, PowerShell, and automation.
• Strong understanding of networking and container tools like Docker or Kubernetes.
• Preferred certifications in AWS, Azure, and ITIL service management.

Solutions Architect, Cloud Services page is loadedSolutions Architect, Cloud Services Apply locations Singapore, Singapore-Suntec Tower time type Full time posted on Posted Yesterday job requisition id JR1998475

Join us at NVIDIA as a Cloud Services Solutions Architect and help our customers and partners adopt end-to-end AI solutions in the cloud! As a Solutions Architect, you’ll design, configure and deploy AI Training and Inference solutions in Public Clouds, as well as in Private Clouds based on groundbreaking NVIDIA technology. You'll work with customers and partners to deploy and operationalize AI at scale by driving adoption for end-to-end Machine Learning and Deep Learning solutions in the cloud. If you are enthusiastic about projects that push the boundaries and mix latest Cloud technologies with revolutionary AI platforms, then read on!

What you'll be doing:

• Build and deploy AI/ML solutions at scale using NVIDIA's AI software on cloud-based GPU platforms

• Using your skills in AI, MLOps, ML engineering, DevOps, Kubernetes, and orchestration to deploy hybrid solutions

• Work as customer technical specialist to address customer workload, security & privacy and architectural requirements and seek their technical challenges

• Deliver customer on-boarding sessions and technical and architecture presentations with NVIDIA AI, Cloud and Networking technologies

• Run and own Proof of Concepts (PoCs), introducing NVIDIA Cloud Solutions and integrating them to new and existing accounts

• Debug SW issues, provide solutions to customers and report of bugs to NVIDIA’s product organization

• Work with NVIDIA’s product and architecture teams by providing customer requirements, feedback and prioritization

What we need to see:

• 8+ years of foundational expertise in Engineering, Computer Science, Data Science, or a related field

• Master’s Degree or Ph.D within Computer Science, Computer Engineering or similar field, or comparable work experience

• 3+ years of working experience in DevOps roles in the areas of Cloud Computing, Cluster Orchestration or AI Workloads

• Substantial experience in an IT role or alike for HPC or large scale AI systems

• In depth knowledge with orchestration platforms like Kubernetes, SLURM or OpenShift

• Expertise in Deep Learning and Machine Learning, with experience using deep learning frameworks such as TensorFlow or PyTorch

• Ideal candidate should understand how AI and HPC workloads interact with both HW and SW infrastructure

• Strong written and oral communication skills with the ability to optimally collaborate with customers, management and engineering

• Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects

• Strong analytical and problem-solving skills

• Good verbal communication and presentation skills in English

Ways to stand out from the crowd:

• Working experience with major or tier-2 cloud service providers (such as AWS, GCP and Azure), or with AI Datacenter Providers or HPC Datacenters

• Experience with AI frameworks and tools on GPUs

• Ability and wiliness to travel to end customers

NVIDIA is widely considered to be one of the technology world’s most desirable employers with very competitive benefits. We have some of the most forward-thinking and innovative people in the world working for us. If you're creative and autonomous, we want to hear from you!

NVIDIA is the world leader in accelerated computing.

NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society.

Solutions Architect, Cloud Services page is loaded

Solutions Architect, Cloud Services

Join us at NVIDIA as a Cloud Services Solutions Architect and help our customers and partners adopt end-to-end AI solutions in the cloud! As a Solutions Architect, you’ll design, configure and deploy AI Training and Inference solutions in Public Clouds, as well as in Private Clouds based on groundbreaking NVIDIA technology. You'll work with customers and partners to deploy and operationalize AI at scale by driving adoption for end-to-end Machine Learning and Deep Learning solutions in the cloud. If you are enthusiastic about projects that push the boundaries and mix latest Cloud technologies with revolutionary AI platforms, then read on!

What you'll be doing:

• Build and deploy AI/ML solutions at scale using NVIDIA's AI software on cloud-based GPU platforms

• Using your skills in AI, MLOps, ML engineering, DevOps, Kubernetes, and orchestration to deploy hybrid solutions

• Work as customer technical specialist to address customer workload, security & privacy and architectural requirements and seek their technical challenges

• Deliver customer on-boarding sessions and technical and architecture presentations with NVIDIA AI, Cloud and Networking technologies

• Run and own Proof of Concepts (PoCs), introducing NVIDIA Cloud Solutions and integrating them to new and existing accounts

• Debug SW issues, provide solutions to customers and report of bugs to NVIDIA’s product organization

• Work with NVIDIA’s product and architecture teams by providing customer requirements, feedback and prioritization

What we need to see:

• 8+ years of foundational expertise in Engineering, Computer Science, Data Science, or a related field

• Master’s Degree or Ph.D within Computer Science, Computer Engineering or similar field, or comparable work experience

• 3+ years of working experience in DevOps roles in the areas of Cloud Computing, Cluster Orchestration or AI Workloads

• Substantial experience in an IT role or alike for HPC or large scale AI systems

• In depth knowledge with orchestration platforms like Kubernetes, SLURM or OpenShift

• Expertise in Deep Learning and Machine Learning, with experience using deep learning frameworks such as TensorFlow or PyTorch

• Ideal candidate should understand how AI and HPC workloads interact with both HW and SW infrastructure

• Strong written and oral communication skills with the ability to optimally collaborate with customers, management and engineering

• Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects

• Strong analytical and problem-solving skills

• Good verbal communication and presentation skills in English

Ways to stand out from the crowd:

• Working experience with major or tier-2 cloud service providers (such as AWS, GCP and Azure), or with AI Datacenter Providers or HPC Datacenters

• Experience with AI frameworks and tools on GPUs

• Ability and wiliness to travel to end customers

NVIDIA is widely considered to be one of the technology world’s most desirable employers with very competitive benefits. We have some of the most forward-thinking and innovative people in the world working for us. If you're creative and autonomous, we want to hear from you!

Similar Jobs (3)

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Senior Solutions Architect, NVIS Customer Success and Partnership

NVIDIA is the world leader in accelerated computing.

NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society.

Cloud Infrastructure Specialist

This role requires a highly skilled individual to design, implement and maintain scalable, secure and cost-effective cloud infrastructure.

• Develop and deploy cloud infrastructure solutions using AWS best practices
• Automate infrastructure provisioning using Terraform or CloudFormation
• Manage and optimize AWS resources (EC2, S3, RDS, Lambda, ECS/EKS, VPC, IAM, etc.)
• Implement and maintain monitoring, logging and alerting using CloudWatch or third-party tools (e.g., Datadog, Prometheus, ELK)
• Ensure security best practices are followed (IAM roles, security groups, KMS, patch management)
• Perform regular backups, disaster recovery and failover strategies
• Troubleshoot cloud-related issues and provide first-line support for cloud services
• Collaborate with DevOps/Development teams on CI/CD pipeline integration
• Monitor cloud usage and implement cost-optimization strategies
• Maintain documentation of cloud architecture, procedures and runbooks

• Bachelor's Degree in Computer Science, Information Technology or a related field
• Min 3 years of hands-on experience in cloud engineering with strong AWS expertise
• Prior experience working in government/public sector required
• Proficiency in core AWS services: EC2, S3, VPC, IAM, CloudWatch, RDS, Lambda, Route 53, etc
• Experience with Infrastructure as Code (IaC) – Terraform or CloudFormation
• Familiarity with DevOps practices and tools (CI/CD pipelines, Git, Jenkins, CodeBuild, etc.)
• Solid understanding of networking concepts (DNS, VPN, firewalls, load balancers)
• Strong scripting skills in Python, Bash or PowerShell
• Experience with Linux system administration and/or Windows servers
• Knowledge of containerization (Docker, ECS or Kubernetes/EKS)

• AWS Certified Solutions Architect – Associate/Professional
• AWS Certified DevOps Engineer – Professional
• Any relevant certifications in DevOps, Security or Kubernetes

Join to apply for the Senior Principal Cloud Services Sales Specialist role at NTT DATA, Inc.

3 days ago Be among the first 25 applicants

Join to apply for the Senior Principal Cloud Services Sales Specialist role at NTT DATA, Inc.

Make an impact with NTT DATA

Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.

Make an impact with NTT DATA

Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.

Additional Career Level Description:

Knowledge and application:

• Applies extensive knowledge of theories, practices, and design matters within and across functional areas.
• Leads the application of existing principles and guides development of new ideas.
  
  

• Works on issues that impact future success or addresses future concepts and products where solutions are devised based on limited information and requires judgment.
  
  

• Creates formal networks with key decision makers and widely recognized as expert and thought leader by both internal and external community.
• Manages issues across significantly divergent audiences, reconciling multiple stakeholder views to resolve issues that have longer term impacts.
  
  

• Translates organizational vision into functional plans, exercising wide latitude in determining objectives and approaches to critical assignments.
• Results impact the medium to long term goals of multiple functional areas.
  
  

• Accountable for results which may impact the entire function.
• Financial impact can be broad and have far reaching impact on the organization but is not easily quantifiable.
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries IT Services and IT Consulting

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