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We are seeking a proactive and technically strong Cloud Engineers with hands-on experience in designing, deploying, and managing cloud infrastructure. The ideal candidate should have solid knowledge of cloud platforms (AWS, Azure, or GCP), networking fundamentals, virtualization, and security best practices.

Key Responsibilities

• Design, implement, and manage cloud infrastructure solutions across public and hybrid cloud environments (e.g., AWS, Azure, GCP).
• Plan, execute, monitor, and deliver cloud migration, deployment, and infrastructure upgrade projects.
• Provision and maintain cloud resources using Infrastructure as Code (IaC) tools.
• Ensure high availability, scalability, security, and performance of cloud-based systems.
• Monitor cloud environments and ensure compliance with contractual Service Level Agreements (SLAs).
• Perform routine maintenance, patching, backup management, and disaster recovery planning.
• Implement and manage virtual networks, VPNs, firewalls, and security configurations in cloud environments.
• Collaborate with DevOps and application teams to support CI/CD pipelines and containerized workloads.
• Troubleshoot, diagnose, and resolve cloud infrastructure and network-related issues.
• Prepare technical documentation, architecture diagrams, and project reports.

Job Requirements

• Strong knowledge of cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
• Experience with virtualization, hypervisors, and cloud-native services.
• Hands-on experience with Infrastructure as Code tools (e.g., Terraform, CloudFormation, ARM).
• Familiarity with containerization and orchestration tools (Docker, Kubernetes).
• Knowledge of networking concepts including VPC, VPN, firewalls, load balancers, and routing.
• Understanding of security best practices in cloud infrastructure.

(EA Reg No: 20C0312)

Please email a copy of your detailed resume to qianyu@talentsis.com.sg for immediate processing.

Only shortlisted candidates will be notified.

Job Responsibilities

1) Data Platform & Enterprise Architecture Leadership

• Define and execute the APAC data platform architecture strategy, aligned with global priorities and regulatory/local market requirements.
• Architect scalable, secure, future-ready data platforms that support business change and modernization outcomes.
• Integrate and modernize legacy systems and disparate data sources into unified, trusted data ecosystems enabling analytics, AI/ML, and GenAI.
• Drive adoption of open systems and standard architectures to improve agility, interoperability, and resilience.

2) Delivery Management & Execution (Architecture-through-Delivery)

• Be accountable for successful delivery of a regional data platform, including day-to-day coordination and delivery oversight.
• Partner with sponsors/stakeholders to define goals, deliverables, and acceptance criteria.
• Support requirements/backlog prioritization, user stories, and alignment ceremonies (stand-ups, showcases/POCs, SteerCo, working groups).
• Create and deliver against detailed project plans; track dependencies, manage delivery risks, and ensure timely execution.
• Manage budgets/forecasts and oversee external vendors/data providers.

3) Governance & Stakeholder Engagement

• Establish and embed architecture principles, standards, and governance, ensuring enterprise-wide alignment.
• Chair/lead architecture forums as needed and provide strategic oversight for significant technology programs.
• Build strong relationships across regional/country technology leadership, product, delivery teams, external vendors, and Head Office (Japan).
• Drive architecture advocacy via workshops and knowledge sharing across business and technology communities.

4) Engineering Excellence (Quality, Simplicity, Performance)

• Apply strong software engineering practices: code profiling/optimization, debugging complex issues, and choosing appropriate languages/paradigms.
• Drive pragmatic design: SOLID/cohesion, idempotence, domain modelling, performance-by-design; familiarity with CQRS and eventual consistency.
• Promote modern delivery practices: automation by default, CI/CD, automated security scanning and performance testing.

5) Reliability, Observability, Security & Compliance

• Design for reliability, performance, and availability and ensure platforms meet both user needs and business goals.
• Facilitate adoption of platforms with embedded observability, risk, and compliance controls.
• Ensure secure-by-default engineering, including server hardening fundamentals and use of SSL/encryption principles.

6) People & Talent Leadership

• Provide technical leadership, mentorship, and guidance to engineering/delivery teams and the architecture community.
• Lead design discussions, gain buy-in, and develop others through coaching and knowledge sharing.

Job Requirements

• Experience: Minimum 10 years delivering in strong engineering teams, with proven delivery ownership for data/technology initiatives.
• Strong background in enterprise/data/solution architecture and modernization programs (cloud adoption and large-scale integrated solutions exposure preferred).
• Strong stakeholder management and influencing skills across engineering, product, and senior business leaders; ability to collaborate across APAC and with Japan/global teams.
• Solid foundation across:
• Software engineering and design practices (performance, SOLID, idempotence, domain modelling).
• DevOps/automation and CI/CD with security/performance testing automation.
• Infrastructure basics (OS, scripting, networking) and data storage paradigms; ability to automate PaaS usage.
• Security principles (secure coding, hardening, encryption/SSL).

Responsibilities

• Support the deployment and implementation of AI infrastructure and data centre projects.
• Coordinate project activities with customers, distributors, vendors, technology partners, and internal engineering teams.
• Assist in the design and implementation of AI computing solutions, including GPU servers, storage systems, networking equipment, and cooling infrastructure.
• Participate in customer meetings, technical discussions, and project planning activities.
• Prepare technical proposals, system architecture designs, deployment plans, and project documentation.
• Manage project schedules, milestones, deliverables, and progress reporting to ensure timely project execution.
• Coordinate and oversee Factory Acceptance Testing (FAT) and Site Acceptance Testing (SAT).
• Support installation, commissioning, troubleshooting, and maintenance of AI infrastructure solutions.
• Collaborate closely with global technology partners and OEMs to ensure successful project delivery and system integration.
• Ensure compliance with customer requirements, industry standards, and project specifications.
• Provide post-deployment technical support, issue resolution, and project follow-up to maintain customer satisfaction.

Requirement

• Min Diploma in Electrical Engineering, Mechanical Engineering, Computer Engineering, Information Technology, or related disciplines.
• Min 2 years of experience in project engineering, systems integration, data centres, IT infrastructure.
• Knowledge of servers, networking, storage systems, power distribution, cooling systems, or data centre infrastructure.
• Familiarity with AI computing platforms, GPU technologies, and high-performance computing environments will be an advantage.
• Require to travel locally and overseas when required.

To submit your application, please apply online to apply@rn-care.com or call +(65) 6513 5697 for private and confidential discussion.

Your interest will be treated with the strictest of confidence. We regret that only shortlisted candidates will be notified or contacted.

RN Care Pte. Ltd
EA License No: 17C8900

What You’ll Be Doing:

• Design, develop and deploy AI/ML/Gen AI solutions in areas including the consumer utilities app, electric vehicle charging, grid planning and monitoring, asset optimization, billing operations, work site safety and customer experience.
• Engage business stakeholders to understand user requirements, leverage domain knowledge, drive project targets and deliver business value.
• Work closely with data engineers, business analysts, product owners, UX designers, AI engineers and software engineers to adopt iterative, agile AI delivery framework.
• Establish and implement AI governance practices, including model documentation, validation, explainability, security guardrails, performance monitoring and ethical considerations.
• Monitor and evaluate emerging AI tools, frameworks, and vendor solutions for internal adoption.

What You’ll Need:
We are looking for Passion and Proficiency

• Experience in building and deploying ML models, including LLMs, RAG, and AI agents
• Strong skills in Python, data pipelines, model integration, deployment, and monitoring
• Proficient in data wrangling, feature engineering, and deriving insights from large datasets
• Knowledge of model explainability, bias mitigation and responsible AI practices
• Ability to translate business needs into AI solutions and deliver in agile, cross-functional teams
• Bachelor of Computer Science/Engineering, Data Analytics & AI or other related area

What Make You Stand Out:

• Ability to actively engage stakeholders, navigate dynamic complexities, lead end-to-end project delivery and manage work of team members.
• Experience deploying Gen AI models to production, including containerization (Docker), APIs, and cloud platforms (AWS, Azure, or GCP).
• Familiarity with governance frameworks like Singapore’s Model AI Governance Framework, EU AI Act, or NIST AI Risk Framework.
• Knowledge in energy tech or related domain.

If the above role is a good fit for you, or if you know anyone who might be good for the role, please get in touch with an updated CV and I'll be in touch!

EA Reg Number: R1660446

EA License Number: 07C3924 

Company Registration No: 200609504D

Job Description

• Industry/ Organization Type: Information Technology Consulting
• Position Title: Product Manager (Esp Data & AI Platform)
• Working Location: Pasir Panjang
• Working Hours: 5 days, Mon – Fri (8:30 AM – 6:00 PM, Fri 8:30 AM - 5:30 PM)
• Salary Package: Basic Salary + Completion Bonus
• Duration: 1 year contract (renewable)

Key Responsibilities

• Define and communicate the product vision and strategy for the enterprise data hub, aligned with user needs and business goals.
• Manage the data hub as a product platform, balancing the needs of data producers, users, analytics, and AI use cases.
• Conduct user research, interviews, and testing, and analyse data and feedback to identify problems and guide product decisions.
• Translate product strategy into clear requirements, user stories, and acceptance criteria.
• Identify and manage risks across the product lifecycle, including data, security, AI, and operations.
• Prioritise and maintain the product backlog to deliver high-impact data and AI features.
• Collaborate with engineering, design, project teams, data owners, and policy teams, and communicate updates to stakeholders.
• Plan and support product launches, monitor performance, and improve based on results.
• Define success metrics, data requirements, and reporting methods to track outcomes.
• Work with data owners to ensure data quality, governance, access control, and proper usage.
• Identify and assess AI opportunities, evaluate feasibility and risks, and translate them into clear use cases.
• Ensure AI features are practical for daily use, including monitoring performance and supporting adoption through training and communication.
• Any ad hoc duties assigned

APPLY NOW!!!

• Minimum 7 years of experience in product management.
• Strong analytical skills and ability to use data for decision-making.
• Experience working with cross-functional teams and aligning stakeholders.
• Experience managing product lifecycle and go-to-market activities.
• Good technical understanding to work with engineering teams on requirements and constraints.
• Strong communication and stakeholder management skills.
• Experience with data platforms (e.g. data lakes, warehouses, APIs, pipelines).
• Experience with data or AI-related products, including understanding risks and implementation.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #83248 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

Join a Dynamic Team Focused on Customer Engagement, Sales & Brand Growth.

Be part of a fast-paced and supportive environment where you’ll gain hands-on experience in customer service, sales, and marketing campaigns. This role is ideal for individuals who are eager to learn, grow, and build a strong foundation in a people-focused industry.

Responsibilities

• Handle customer interactions in a professional and friendly manner
• Support sales and promotional activities at events and campaigns
• Assist in marketing initiatives and brand engagement efforts
• Work collaboratively with team members to achieve campaign goals

What You Will Gain

• Structured 1-on-1 mentorship and training
• Clear leadership progression pathway
• Local and overseas exposure opportunities
• Supportive, high-energy, and collaborative team culture

Apply now to begin your professional journey with us.

❤️‍