Total 1,160 solution architect job vacancies in Singapore

Job Description:

· Supervising the interior fit out works, coordination with sub-contractors and in-house workers

· To assist Project Management team in ensuring that the works are carried out to schedule and in accordance with relevant regulations

· Plan, supervise and control project operations including manpower planning, and work schedule

Requirements:

· At least 3 years’ experience in interior fit out works.

· Safety Supervisor Certificate or relevant certificate

· Able to communicate and coordinate well with sub-contractors

About OneByZero

OneByZero is a Frontier Systems Integrator building agentic AI systems for leading banks, telcos, insurers, and retailers across Asia Pacific. We work on mission-critical problems for organizations operating the region's financial and digital infrastructure. Operating exclusively on AWS, we combine deep technical expertise with strong partnership programs that enable innovation, scale, and delivery excellence. We build with people who are technically serious, outcome-focused, and passionate about solving complex enterprise challenges.

The Role

The Forward Deployed Architect (Agentic AI) serves as the technical authority for client engagements involving agentic AI systems. Embedded within client environments, you will own the architecture and delivery of enterprise-scale AI solutions from concept through production deployment.

You will design and govern multi-agent systems operating in highly regulated industries, ensuring reliability, security, auditability, and business value. This includes determining orchestration approaches, tool integrations, human oversight mechanisms, evaluation frameworks, monitoring strategies, and production governance.

You will work across AWS Bedrock, Agent Core, frontier AI models, orchestration frameworks, and evaluation tooling while helping clients navigate the rapidly evolving AI landscape and make informed architectural decisions.

This is a hands-on role requiring architectural leadership, technical design, prototyping, code reviews, and direct engagement with executive stakeholders.

Key Responsibilities

Agentic AI Architecture

• Design and own enterprise-scale agentic AI architectures.
  
• Develop multi-agent orchestration patterns, tool integrations, memory management, retrieval systems, evaluation frameworks, guardrails, and observability.
  
• Ensure architectural decisions align with business objectives and governance requirements.
  

Human-in-the-Loop Design

• Design workflows that combine AI autonomy with appropriate human oversight.
  
• Determine review and approval checkpoints.
  
• Ensure agent outputs are transparent and explainable for business users and compliance teams.
  

Frontier AI Technology Leadership

• Advise clients on AWS Bedrock, Agent Core, foundation models, orchestration frameworks, and deployment strategies.
  
• Evaluate technology trade-offs and recommend solutions aligned to enterprise constraints and objectives.
  

Enterprise Integration

• Architect solutions that integrate with legacy systems, APIs, enterprise platforms, security controls, and existing workflows.
  
• Design around real-world constraints including data quality, access limitations, and infrastructure requirements.
  

Reliability & Evaluation

• Define measurable success criteria before development begins.
  
• Build evaluation frameworks using realistic business scenarios.
  
• Establish monitoring, drift detection, failure management, and production support strategies.
  

Engineering Leadership

• Review technical designs and implementation approaches.
  
• Identify architectural risks, security concerns, and quality issues.
  
• Mentor engineering teams and establish delivery standards.
  

Client Engagement & Pre-Sales

• Lead technical workshops with CTOs, CDOs, CIOs, and Risk leaders.
  
• Translate business goals into practical AI solutions.
  
• Support solution scoping and statement-of-work development.
  

Reusable Intellectual Property

• Create reference architectures, governance frameworks, evaluation methodologies, and design patterns.
  
• Contribute assets that can be leveraged across future engagements.
  

Requirements

Required Qualifications

Experience

• 8+ years of experience in software engineering, AI/ML systems, cloud architecture, or related fields.
  
• Minimum 3 years building and deploying production AI or agentic systems.
  
• Demonstrated experience delivering enterprise-grade technology solutions.
  

AWS Expertise (Mandatory)

Hands-on experience with:

• AWS Bedrock
  
• Agent Core
  
• SageMaker
  
• Lambda
  
• API Gateway
  
• Enterprise security services
  
• Monitoring and observability services
  

Agentic AI Expertise

• Experience designing and deploying multi-agent systems in production.
  
• Strong understanding of:
  
• Agent orchestration frameworks
  
• RAG architectures
  
• MCP and tool design
  
• Prompt engineering
  
• Evaluation frameworks
  
• Agent reliability and failure modes
  
• Production monitoring
  

Enterprise Architecture

• Experience integrating AI systems with enterprise applications.
  
• Knowledge of API design, event-driven architectures, security boundaries, and access controls.
  
• Understanding of data governance and enterprise platform constraints.
  

Regulated Industry Experience

• Experience working within Banking, Financial Services, Insurance (BFSI), or Telecommunications environments.
  
• Understanding of AI governance, compliance, risk management, and auditability requirements.
  

Security & DevSecOps

• Knowledge of prompt injection risks.
  
• Experience securing tool-enabled agents.
  
• Understanding of data leakage prevention and enterprise security controls.
  

Executive Communication

• Ability to communicate complex AI concepts to senior stakeholders.
  
• Comfortable engaging with executive leadership and risk teams.
  
• Strong written and verbal communication skills.
  

Preferred Certifications

Required

• AWS Certified Solutions Architect – Professional
  
• AWS Certified Machine Learning Specialty or ML Engineer Associate
  

Strongly Preferred

• AWS Certified Generative AI Developer
  
• AWS Certified Security Specialty

Responsibilities:

• Solutions delivered on time and on budget.
• Perform maintenance on time.
• Provide timely and satisfactory issues resolutions.
• Conduct training, presentation to internal and external customers.
• Manage internal and external customers.

During Solutions Delivery Phase:

• At site survey to ensure infra and network is in accordance to solutions requirements.
• Install, Configure solutions at sites.
• Manage User Acceptance testing at sites.
• Conduct User training at sites.
• Document handover items for customers at sites.

During Maintenance Phase:

• Ensure all delivered solutions are in operation.
• At site or remote to support and troubleshoot issues related to the delivered solutions.
• At site to perform solutions preventative action, monthly patching or upgrade.
• At site testing and delivery of Samsung devices.
• Work closely with the HQ Technical Support & R&D for critical issues escalation and VOC compilation.

Requirement:

• Diploma or Degree in Computer Science or Information System related fields
• Server and/or cloud certificate is highly preferred.
• At least 2 years of experience in network administration, QA testing, software installation and maintenance.
• Knowledge in the use of VM software and system OS (Windows Server, JAVA, Apache Tomcat, Redhat, Ubuntu, etc.).
• Knowledge in the configuration management such as AD, CA, DNS etc.
• Knowledge in the use of database: MSSQL, MYSQL etc.
• Knowledge on Cloud (i.e., AWS, Azure, or similar) and on-premises infrastructure deployment.
• Excellent problem solving, and analytical thinking.
• Good at documentation (specification, user guide creation)
• Excellent communication skills; able to present technical topics to non technical audience.
• Self Starter, positive attitude and customer oriented.
• Must be a Singaporean
• Subject to government G50 clearance (compulsory)

Preferred Qualification:

• Knowledge in MDM related solutions and technology (such as Samsung Knox, Android Enterprise, VMWare Workspace ONE, MobileIron, Citrix Endpoint Management, Microsoft Intune, and etc) are a plus.
• Programing and software development skill in Java, XML, HTML, Android development are a plus.
• Project Management experience and/or certificate.
• Experience in designing cloud system environment, able to manage cloud resource with automation.
• Ability to take up a new technology and perform development based on client requirements.

About Infosys

Infosys is a global leader in next-generation digital services and consulting. Over 320,000 of our people work to amplify human potential and create the next opportunity for people, businesses and communities. We enable clients in 59 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer clients, as they navigate their digital transformation powered by cloud and AI. We enable them with an AI-first core, empower the business with agile digital at scale and drive continuous improvement with always-on learning through the transfer of digital skills, expertise, and ideas from our innovation ecosystem. We are deeply committed to being a well-governed, environmentally sustainable organization where diverse talent thrives in an inclusive workplace.

Visit 

www.infosys.com to see how Infosys (NYSE: INFY) can help you navigate your next.

Infosys has been recognized as a Top Employer across APAC — contributing to our sixth consecutive year of global certification. As an AI‑first organization, we empower our people to work on next‑generation technologies, continuously learn, and create impact at scale—supported by a culture rooted in care, inclusion, and excellence. 

Join Infosys and be part of a culture that’s not just promised—it’s certified. #TopEmployer2026 #ThriveAtInfosys

Position Description:

We are seeking a Sr / Principal Architect (AI) to serve as a trusted advisor and technical visionary for our enterprise clients across diverse industries. This individual will lead high-impact AI engagements — from strategy and ideation to architecture, implementation, and scaling — helping clients navigate the full lifecycle of AI adoption.

As the Lead architect, he/she will bridge business vision and deep technology execution, driving enterprise-grade AI solutions that are trustworthy, scalable, and aligned with organizational goals.

Flexible working arrangements (hybrid, reviewed case-by-case basis). Feel free to contact your recruiter to learn more about how this works in practice.

Essential Responsibilities:

·         Strategic Advisory: Partner with CxOs and senior technology leaders to define AI transformation roadmaps, enterprise AI strategy, and operating models for responsible and sustainable AI adoption.

·         Ideation and Design Leadership: Facilitate design thinking sessions and co-innovation workshops with clients to identify impactful AI opportunities across business domains.

·         Architecture and Solution Design: Translate business and data needs into target-state AI architectures — covering model lifecycle, agentic systems design, and cloud-native AI platforms.

·         Infrastructure and Capacity Planning: Design AI infra blueprints spanning data, compute, GPU/TPU capacity, observability, and security, ensuring optimal cost-performance balance and resilience.

·         Cross-Industry Engagement: Lead solutioning across key verticals such as financial services, manufacturing, retail, telecom, and public sector, tailoring architectures to industry-specific needs.

·         Governance and Compliance: Establish frameworks for responsible AI, model risk management, and regulatory compliance.

·         Thought Leadership: Represent the firm in client advisory councils, external forums, and conferences; publish thought leadership on enterprise AI architecture and innovation practices.

·         Team Mentorship: Guide solution architects and engineers in designing, deploying, and optimizing modern AI systems leveraging LLMs, multi-agent frameworks, and MLOps pipelines.

Required Skills and Experience

·         Proven experience as an Enterprise/Principal Architect or equivalent senior advisory role in AI, cloud, or digital transformation.

·         Mastery across multiple AI domains: generative AI, agentic systems, predictive analytics, and intelligent automation.

·         Strong understanding of AI infrastructure, including GPUs, model serving, orchestration, data pipelines, and observability tooling (e.g., Ray, Kubernetes, MLflow).

·         Hands-on knowledge of cloud platforms (AWS, Azure, GCP) and hybrid architectures for AI workload optimization.

·         Familiarity with enterprise governance, capacity planning, and FinOps considerations for large-scale AI deployments.

·         Excellent communication and storytelling skills to engage both executive and technical stakeholders.

·         Cross-industry perspective with consulting or advisory experience across at least three major verticals.

·         Advanced degree in Computer Science, AI/ML, or related field preferred; additional executive education in strategy or innovation is a plus

Minimum Qualifications:

• BS degree in Mechanical Engineering, Engineering Technology, or a special combination of education and experience with demonstrated accomplishments.
• 18+ years in technology/solutions architecture, with 3+ years in AI-led transformation roles
• Able to communicate in English.

In addition to compensation aligned with your role, you’ll have access to a wide range of benefits that support your health, career growth, and overall well-being (SNG)

• Paid leave entitlements
• Health and Life Enrichment (HALE) program covering various well-being offerings
• Life insurance cover
• Optional health insurance cover
• Employer Assistance Program (EAP)
• Rewards and Recognition

Our recruitment and selection process is designed to create the best match for both you and Infosys. Depending on the role, it may include an initial screening, technical or functional interviews, and conversations focused on cultural alignment and shared values. We are committed to making the experience transparent, respectful, and engaging at every step.

Job Summary:
Seeking an AI Architect to lead retail AI initiatives—bridging tech and operations to deploy predictive, generative, and ML solutions that enhance customer experience, optimize supply chains, and drive revenue.

Job Description:

Omni-Channel Customer Experience & Personalization

• Develop and scale AI-driven personalization engines for our Omni-Channel platform and mobile app.

• Oversee the implementation of conversational AI to improve customer service and post-purchase support.

• Optimize in-store layouts, track customer behaviours, and enhance the brick-and-mortar shopping experience.

• Act as a subject matter expert and responsible for designing the architecture of technical solutions, developing and implementing new features and changes/enhancements, providing technical support and issues resolution.

• Perform customisation with an in-depth understanding of code structure, extension architecture, theming hierarchy, fallback components and cache implementation including APIs customization and integration (REST/SOAP).

AI Systems Architecture

• Lead the design and execution of end-to-end platforms and services that support advanced analytics use cases and enterprise AI capabilities.

• Align AI solutions with overall technology architecture and long-term business strategy.

• Provide strategic insights into the evolving AI landscape, including generative AI, LLMs, and machine learning frameworks.

Leadership & Strategy

• Strategize, lead and direct all activities related to AI Management - Project Management, Solution delivery, Management and Control, Suppliers, Vendors, Contractors, Internal IT Workforce Management.

• Evaluate, negotiate with, and manage third-party AI vendors and SaaS platforms specializing in retail technology.

Partnership

• Work as a partner with all Internal/External stakeholders, Vendor management.

• Initiate, evaluate & prioritize projects and process improvements along with business stakeholders.

• Ensure all deliverables are focused on quality & maximum ROI.

• Translate technical concepts into actionable insights for both technical and non-technical stakeholders.

• Evaluate third-party technologies and manage vendor relationships to ensure solutions meet organizational standards and performance requirements.

Project & Risk Management

• Manage all projects and ensure the deliverables are ON TRACK and exceeds/meets stakeholder expectations.

• Ensure project management principles are strictly adhered in all areas including risk management, hands-on prototyping and proof-of-concept delivery for emerging technologies.

• Enable automation, intelligence, and efficiency across business systems including applied AI.

Governance and Security

• Ensure information security policies are implemented across all IT functions and strictly adhered.

• Conduct periodic assessment, identify gaps and ensure relevant resolution are in place.

• Ensure all AI initiatives comply with data privacy regulations regarding consumer data.

People & Resource Management

• Create a culture of performance and value in technology services.

• Establish sophisticated control mechanisms for optimum, efficient, rightful allocation & utilization of resources.

Change Management & Service Excellence

• Ensure solution delivered are properly tested and meet specifications and timeline from request to deployment.

Other Responsibilities

• Monitor the results and quality of the different software solutions and projects implemented in the organisation.

• Perform Contract and Procurement Management.

• Develop and review IT policy and implementation processes.

• Support Audit for compliance and development of risk management.

• Any ad-hoc tasks assigned.

Role Requirement:
A hands-on role with minimum 2 years of experience in similar position with broad functional expertise preferably in retail industry & technical expertise in AI/ML solution architecture and operations systems and all facets of IT management & technology trends not limited to:

• Plan & execute implementation of the agreed initiatives. This will require working with the team in terms of analyzing the requirements, studying the options available & working towards a standard solution, which meets the requirements in an effective & efficient manner.

• Negotiate between external vendors and suppliers to resolve often highly technical or contentious issues and conflicts to ensure that projects and work packages are delivered on time and within budget.

• Degree in Computer Science, Information Technology, Programming & System Analysis, Science (Computer Studies) or related discipline. Professional certification in Agile methodologies is a plus.

• Business Central, Tableau, Microsoft Fabric and Salesforce certification is an added advantage.

• Strong business understanding ability, strong technical learning and transfer ability, strong sense of responsibility, good communication and teamwork skills.

• Strong commercial acumen to tie AI metrics directly to retail KPIs (e.g. Conversion Rate.

• Excellent storytelling and communication skills to explain complex AI models.

• Minimum 2 years of experience leading technical/software engineering teams or managing complex tech projects.

• Minimum 2 years of hands-on experience developing AI/ML solutions, generative AI technologies and frameworks. with at least 2 years specifically within the retail, e-commerce, or FMCG sectors.

• Minimum 2 years of large-scale backend system development experience.

• Available to work period weekends and off-hours for on-site support requirements.

• Available for 24/7 call support.

Technical Skills:

• Profound knowledge in various scripting/programming languages, operating system & server administration, and mass system deployments including cloud platform and networking protocols.

• Proven experience designing and deploying machine learning systems with measurable business impact.

• Deep understanding of Machine Learning (ML), Deep Learning, NLP, and Computer Vision as applied to retail (e.g., image search, sentiment analysis).

• Experience with Generative AI applications in retail, such as automated product description generation, virtual try-ons, or personalized email copy.

• Proficiency in Python or R, and experience with cloud data platforms (AWS, Azure, or Google Cloud).

• Deep knowledge of supervised and unsupervised learning models, neural networks, and statistical modelling techniques.

• Proficient in SQL and database schema design; experience with both relational and non-relational databases.

• Experience with cloud platforms (Azure or GCP), distributed computing, container orchestration (Docker, Kubernetes), and ML Ops tools (ML flow, Kubeflow, Airflow).

• Familiarity with retail data structures, including POS (Point of Sale) data, ERP systems, and CRM systems.

Responsibilities

• Projects ranging from commercial, industrial, institutional, mixed-development, residential, healthcare, infrastructure, MRT etc
• Work on and actively contribute to the design and development of architectural projects with opportunity to carry through the project through various phases of the project cycle (from concept design, schematic design, design development, construction)
• Coordinate with consultants from various disciplines and clients/stakeholders, and find creative and workable solutions for the project together with the project team
• Be a part of a team for design competitions or design, design presentation packages, design development package and tendering
• Attend and participate in meetings, technical discussions and coordination with contractors/consultants
• Follow-up on project and construction activities as well as to carry out contract administration responsibilities

Requirements

• Architectural degree/masters recognised by Board of Architects Singapore
• Min 2-7 years post graduate professional experience
• Competency in BIM/Revit, Archicad, Autocad, Sketch-up, In-Design as well as basic rendering, graphics publishing software program

Interested and suitable candidate kindly click quick apply. Resume will be routed to Jasmine Chin Yan Min. We regret that only suitable candidate will be notified.

GEMS Recruit/EA License: 23C1459 (https://gemsrecruit.com/)

EA Personnel No: R1442379 (Jasmine Chin Yan Min)

We are seeking a dynamic, consultative **Cloud Architect** to join our team. This role is tailored for an experienced professional who is deeply familiar with the core cloud infrastructure, networking, security, and observability concepts required by large enterprise customers.

In this role, you will bridge the gap between high-level enterprise business strategy and technical execution. You will work closely with enterprise clients to uncover their specific structural or operational pain points, design purpose-fit, well-architected multi-cloud environments across **AWS** and **Google Cloud Platform (GCP)**, and maintain end-to-end technical accountability for the successful outcome of the delivery.

1. Enterprise Networking & Security Architecture

Complex Cloud Networking: Design resilient, enterprise-grade network topologies involving complex routing, Hub-and-Spoke models, VPCs, Shared VPCs, Transit Gateways, AWS Direct Connect, and Google Cloud Interconnect.

Enterprise Security Concepts: Architect robust Identity and Access Management (IAM) strategies, encryption models (KMS/Cloud KMS), and perimeter security controls (WAF, Enterprise Firewalls, DDoS mitigation) tailored for large-scale multi-tenant environments.

SecOps & Compliance Integration: Define the patterns for automated security guardrails, secure landing zone baselines, and continuous compliance scanning within enterprise delivery pipelines.

2. Core Infrastructure & Observability Governance

Well-Architected Framework Alignment: Serve as the custodian of cloud architectural integrity, ensuring all custom designs strictly map back to the AWS Well-Architected Framework and GCP Architecture Framework pillars (with a strong focus on Operational Excellence and Security).

Centralized Logging & Monitoring Architecture: Design enterprise-wide observability strategies. Define patterns for multi-account centralized logging, audit trails, real-time alerting, and telemetry aggregation required for operational visibility and compliance.

IaC Governance: Define the standards and architectural structures for Infrastructure as Code (IaC). Review configurations to ensure modular, secure, and compliant environments across client workloads.

3. Consulting, Discovery & Delivery Accountability

Pain Point Identification: Engage directly with enterprise stakeholders and technical teams to diagnose existing infrastructure bottlenecks, operational inefficiencies, visibility gaps, and architectural pain points.

Purpose-Fit Solution Design: Translate identified client challenges and strict technical/regulatory requirements into tailored, purpose-fit technical blueprints that solve specific business issues.

Delivery Accountability: Act as the technical lead and owner for assigned client engagements, maintaining full accountability for the successful execution and technical outcome of the final delivery.

Qualifications

Experience:

• 6 to 8 years of experience in cloud architecture, enterprise network engineering, or cloud infrastructure design.
• At least 2 years of active experience in a professional services or IT consulting environment.

Highly Regulated Environments (Plus):

• Strong track record of navigating architecture requirements for regulated industries (e.g., Public Sector, Financial Services) and compliance frameworks like IM8, SOC2, or ISO27001.
• Government Commercial Cloud / GCC (Plus):Experience engineering within the Government Commercial Cloud (GCC / GCC 2.0) framework or equivalent public-sector cloud architectures.

Technical Skills & Best Practices

• Observability & Logging Mastery: Deep understanding of distributed monitoring, logging, and tracing concepts. Strong familiarity with native cloud services including AWS CloudWatch, AWS CloudTrail, Google Cloud Monitoring, and Google Cloud Logging.
• Enterprise Network & Security Familiarity: Deep familiarity with enterprise cloud connectivity, BGP, DNS routing, load balancing topologies, Service Meshes, and multi-tenant isolation techniques.
• Automation & CI/CD Guardrails (Preferred):Strong understanding of best practices surrounding Terraform (or OpenTofu) and GitHub Workflows (GitHub Actions). Ability to define architectural standards, review configurations, design workflow gates, and guide engineering teams on implementation.
• Code & Scripting Comprehension: Ability to read, interpret, and evaluate script logic (Python, Bash, or Go) to ensure automated deployment architectures align with operational blueprints.

Desirable Tooling & Domain Pluses (Good-to-Have)

• Enterprise Security & Proxy Tooling: Familiarity with integrating or architecting alongside third-party enterprise security solutions such as Palo Alto NGFW, Forcepoint, or Zscaler web proxies is a major plus.

Third-Party Observability:

• Familiarity with enterprise-grade monitoring and SIEM platforms like Datadog and Splunk is highly valued.

Enterprise Data Architecture & Governance

• Strong conceptual understanding of modern data topologies (Data Lakes, Lakehouses, Data Mesh). Familiarity with cloud-native data governance, cataloging, and access control tools (e.g., AWS Lake Formation, GCP Dataplex, AWS Glue, Google Cloud Data Catalog).

Platform Engineering Concepts

• Conceptual knowledge of platform engineering practices, including Internal Developer Platforms (IDPs), defining "Golden Paths," or exposure to tools/methodologies like Backstage, GitOps, or Crossplane.
• Emerging Workloads: General exposure to high-level architectural requirements for hosting modern workloads, such as scalable infrastructure concepts for AI/ML pipelines.

Certifications

• AWS: Certified Solutions Architect – Professional (Must Have)
• AWS Certified Advanced Networking – Specialty (Must Have)
• AWS Certified Security – Specialty (Must Have)
• GCP Professional Cloud Architect
• GCP Professional Cloud Network Engineer, or Professional Cloud Security Engineer.

Soft Skills

• Consultative Mindset: Strong empathy and active listening skills required to successfully draw out pain points and align technical solutions with client business goals.
• Ownership & Accountability: A driven, results-oriented attitude with a track record of driving complex technical projects over the finish line.
• Communication: Excellent verbal and written communication skills with the ability to articulate complex networking, security, and architectural concepts to both technical teams and executive stakeholders.

【Job Responsibilities】

• Solution Design & Strategy: Lead the end-to-end design and planning of comprehensive data center solutions. Analyze client requirements to develop technically sound and commercially viable proposals, with a specialized focus on Critical Power (e.g., UPS, Lithium Battery Backup) and Cooling Systems.
• Product & Solution Competitiveness: Collaborate with product development teams to provide field-driven insights. Champion the development and verification of scenario-specific solutions based on typical customer requirements to enhance the overall market competitiveness of our portfolio.
• Strategic Business Development: Identify and capitalize on key opportunities to break into new markets, valued industries, and strategic accounts. Develop standardized, replicable solution packages and enable field teams to improve operational efficiency and win rates.
• Stakeholder Management & Project Leadership: Serve as the primary technical point of contact for clients, consultants, and internal teams. Manage the solutioning process from initial engagement through to project execution, providing technical oversight and troubleshooting expertise.
• Technical Evangelism & Client Engagement: Develop and deliver compelling technical presentations and proposals. Build and maintain trusted advisor relationships with client executives, effectively articulating the value proposition of our solutions.
• To collaborate and communicate directly with Singapore-based regulatory bodies and local stakeholders, as well as to support collaboration with Chinese-speaking global decision-makers, domestic manufacturing partners, and regional headquarters counterparts based in China.

【Requirements】

• A Bachelor's degree in Engineering, preferably in Electrical Engineering.
• A minimum of 5 years of professional experience in the data center industry, with a proven track record in data center consulting, planning, and solution design.
• Deep technical expertise in Data Center Critical Power and Cooling systems (including UPS and Lithium Battery technologies). Hands-on experience with system deployment is highly advantageous.
• Demonstrable experience in developing and winning overseas projects. Exceptional communication and interpersonal skills, with the ability to collaborate effectively across functions, cultures, and international organizations.
• Strong analytical, problem-solving, and collaboration skills to navigate and resolve complex technical and commercial challenges.
• Excellent presentation and solution-development skills. A self-motivated professional who can work both independently and as part of a collaborative team, with a results-driven commitment to task completion.
• Familiarity with key industry standards and specifications, such as Uptime Institute Tiers, TIA-942, and relevant IEC standards.
• This role requires proficiency in both English and Mandarin (written and spoken) to communicate effectively with Singapore-based regulatory bodies and local stakeholders, as well as to support collaboration with Chinese-speaking global decision-makers, domestic manufacturing partners, and regional headquarters counterparts based in China.

Interested candidate please click "APPLY" to begin your job search journey.

We regret to inform that only shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolsingapore.com/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy. 

PERSOL Singapore Pte Ltd

•RCB No. 200007268E • EA License No. 01C4394

•Registration ID: Heah Sian Wei R23117518

Role Summary

We are seeking an experienced Elastic Platform Architect to lead the architecture, design, governance, and implementation of a next-generation enterprise observability and operational intelligence platform based on the Elastic ecosystem.

The successful candidate will be responsible for defining enterprise observability architecture, designing scalable Elastic platform solutions, establishing platform engineering standards, and driving the implementation of cloud-native monitoring capabilities across complex enterprise environments.

The role requires strong expertise in Elastic Stack technologies, Kubernetes-based platforms, GitOps deployment methodologies, Infrastructure-as-Code, DevSecOps practices, and enterprise integration architecture. The candidate will work closely with enterprise architects, cybersecurity teams, infrastructure teams, platform engineers, and business stakeholders to deliver highly resilient, secure, and scalable observability platforms supporting critical business operations.

Key Responsibilities

Enterprise Architecture & Platform Strategy

Define and maintain the target-state architecture roadmap for enterprise observability and monitoring platforms.

Develop architecture blueprints, reference architectures, design standards, and governance frameworks for Elastic-based platforms.

Lead architecture reviews, technical assurance activities, and solution governance processes.

Establish platform engineering standards covering scalability, availability, security, performance, and operational resilience.

Evaluate emerging observability technologies and recommend strategic platform enhancements.

Collaborate with enterprise architecture teams to align observability capabilities with broader technology transformation initiatives.

Elastic Platform Architecture & Design

Architect and govern enterprise deployments of:

Elasticsearch

Kibana

Logstash

Elastic Agent

Fleet Server

Elastic APM

Elastic Cloud on Kubernetes (ECK)

Design distributed Elastic platform architectures supporting large-scale telemetry ingestion and analytics workloads.

Establish platform standards for:

Index Management

Shard Allocation

Cluster Scaling

Data Retention

Performance Optimization

Disaster Recovery

Define and govern Index Lifecycle Management (ILM) and Snapshot Lifecycle Management (SLM) strategies.

Design platform resiliency and high-availability frameworks supporting enterprise-grade service levels.

Observability & Operational Intelligence

Design enterprise observability frameworks covering:

Infrastructure Monitoring

Application Performance Monitoring (APM)

Distributed Tracing

Centralized Logging

Security Event Monitoring

Service Health Monitoring

Operational Analytics

Establish telemetry collection and data normalization standards across multiple technology domains.

Define alerting, event correlation, escalation, and incident visibility frameworks.

Develop monitoring standards, service health models, and operational dashboards supporting business and technical stakeholders.

Define SLI, SLO, SLA, and reliability measurement frameworks.

Cloud-Native & Kubernetes Architecture

Design Kubernetes-native observability platforms leveraging Elastic Cloud on Kubernetes (ECK).

Define deployment architectures supporting:

Kubernetes

OpenShift

Hybrid Cloud

Air-Gapped Environments

Architect GitOps deployment frameworks utilizing:

FluxCD

GitLab

Helm

Establish platform lifecycle management standards covering upgrades, deployments, configuration management, and operational governance.

Design secure multi-cluster deployment architectures supporting enterprise scalability requirements.

Platform Integration Architecture

Define enterprise integration patterns for onboarding infrastructure, application, network, and security telemetry sources.

Architect integrations across:

Enterprise Applications

Cloud Platforms

Security Solutions

Network Infrastructure

Storage Platforms

Kubernetes Environments

Identity & Access Management Platforms

Design data ingestion and enrichment frameworks supporting operational analytics and observability use cases.

Lead integration of observability platforms with IT Service Management and operational workflow systems.

Security, Compliance & Governance

Define platform security architecture including:

RBAC

Authentication & Authorization

Encryption Standards

Certificate Management

Secrets Management

Audit Controls

Collaborate with cybersecurity teams to implement observability-driven security monitoring capabilities.

Ensure compliance with enterprise security policies, governance standards, and regulatory requirements.

Establish platform governance processes supporting change management, operational controls, and risk management.

Automation, DevSecOps & Platform Engineering

Define Infrastructure-as-Code standards utilizing:

Terraform

Ansible

Establish CI/CD and GitOps operating models supporting platform lifecycle automation.

Design automated deployment, testing, upgrade, rollback, and recovery processes.

Drive platform engineering best practices to improve operational efficiency and reliability.

Promote automation initiatives supporting scalability, consistency, and operational excellence.

Technical Leadership & Stakeholder Engagement

Provide technical leadership and architectural guidance to engineering and operations teams.

Facilitate architecture workshops, technical reviews, and stakeholder engagement sessions.

Mentor platform engineers and observability specialists on architecture standards and best practices.

Develop architecture documentation, technical standards, solution blueprints, operational procedures, and implementation guidelines.

Support strategic planning, technology assessments, and platform modernization initiatives.

Required Qualifications & Experience

Technical Expertise

Extensive experience designing and implementing enterprise observability platforms.

Strong hands-on expertise in:

Elasticsearch

Kibana

Logstash

Elastic Agent

Fleet Management

Elastic APM

Elastic Cloud on Kubernetes (ECK)

Strong understanding of distributed systems, large-scale data platforms, and enterprise monitoring architectures.

Cloud & Platform Technologies

Kubernetes

OpenShift

Docker

AWS

Azure

Hybrid Cloud Environments

Automation & Platform Engineering

Strong experience with:

Terraform

Ansible

GitOps

GitLab

FluxCD

Helm

CI/CD Pipelines

Observability & Operations

Experience designing:

Monitoring Frameworks

Logging Architectures

Tracing Solutions

Alerting Frameworks

Event Correlation Models

Operational Intelligence Platforms

Enterprise Integration

Experience integrating observability platforms with:

ServiceNow

Enterprise Security Platforms

Identity Management Solutions

Network and Infrastructure Technologies

Preferred Qualifications

Elastic Certified Observability Engineer

Certified Kubernetes Administrator (CKA)

HashiCorp Terraform Associate

Red Hat OpenShift Certification

GitLab Professional Certifications

AWS and/or Azure Certifications

Experience delivering observability platforms within government agencies, financial institutions, telecommunications organizations, or large enterprise environments.

Experience with AIOps, OpenTelemetry, Service Intelligence, and advanced analytics platforms.

Employment Type

Contract Position (6 Months)

Renewable subject to project requirements, performance, and business needs.

nSearch Global is hiring a Software Architect / Technical Lead to join as a core founding member of our HR tech product team. You will own the technical architecture, lead the build, and shape our product as it moves from MVP into production.

This is a hands-on senior engineering role. You will work directly with the founder, our engineering team, and HR domain experts to make critical technical decisions, set engineering standards, and steer the technical roadmap. The role is full-stack and central to everything we ship.

This is not a pre-sales or enterprise architecture advisory role. We are looking for someone who builds.

What you will do

Technical architecture and engineering leadership

• Own the technical architecture of the platform end to end across frontend, backend, data, and integration layers
• Lead design decisions on multi-tenancy, scalability, performance, hosting, and data residency
• Set engineering standards for code quality, security, testing, and documentation, and guide the team in applying them
• Review code, weigh in on architecture trade-offs, and unblock the team on technical decisions
• Drive enterprise readiness including SOC2 alignment, audit logging, role-based access, and security posture suitable for enterprise and government clients
• Work directly with our offshore engineering team on prioritisation, technical direction, and delivery

System integration and platform architecture

• Define and maintain an integration roadmap across ATS, HRIS, payroll, onboarding, CRM, analytics, and identity systems
• Design integration patterns using REST APIs, web services, webhooks, middleware, ETL, or SFTP where appropriate
• Drive enterprise identity requirements such as SSO (SAML or OIDC), user provisioning (SCIM is a plus), role-based access control, and audit logs

Testing, UAT, and release readiness

• Plan and coordinate workflow-based UAT with internal users and pilot customers, with clear scenarios and acceptance criteria
• Establish regression testing and release management practices that scale as we onboard more customers

Product mindset

• Bring a product mindset to technical decisions, thinking beyond MVP toward productisation, scalability, and long-term maintainability
• Partner with the founder on what is core product, what is paid implementation, and what is custom work, and protect that line as we grow

What we are looking for

• Degree in Computer Science, Engineering, or a related field
• 7 to 10 years of experience in software engineering and architecture
• Demonstrated experience leading the technical architecture of an enterprise product or SaaS platform end to end
• Strong full-stack background with the ability to write code, review code, and guide architecture decisions across frontend, backend services, databases, and cloud fundamentals
• Hands-on experience integrating enterprise systems using APIs, web services, or middleware, ideally across ATS, HRIS, payroll, CRM, analytics, or identity systems
• Comfortable working with offshore engineering partners and across multiple time zones
• Practical experience with system testing, UAT coordination, regression testing, and release management for enterprise systems

Why join us

• Founding member of the technical core team for a new HR tech product
• Direct working relationship with the founder
• Real ownership of the architecture and the roadmap
• Regional remit across Singapore, the UAE, Malaysia, and Thailand

By submitting your CV, you confirm that you have read the Data Protection Notice for Job Applicants

(https://www.nsearchglobal.com/dp-notice/job-applicants) and consent to the collection, use, and disclosure of your personal data for the purpose of verifying and evaluating your job application.

• Location: Woodlands
• Working Hours: 5 days per week (Mon to Fri: 8:00 AM – 5:30 PM)
• Willingness to commit to extended hours

Job Responsibilities:

• Coordinate architectural, structural, MEP, and process utility designs for semiconductor fabrication facilities
• Act as the central design interface between architect, engineering consultants, equipment vendors, and construction teams
• Ensure cleanroom layout compliance with ISO classifications, vibration, AMC, temperature, and humidity requirements
• Coordinate tool layout, tool hook-up requirements, and maintenance access with process equipment vendors
• Manage BIM-based design coordination and resolve multidisciplinary clashes
• Translate design intent into constructible design packages for site execution
• Support construction sequencing for cleanroom build-up, MEP racks, and tool move-in activities
• Review and coordinate design drawings, shop drawings, RFIs, and technical submissions
• Manage design changes to minimize impact on cost, schedule, and tool installation milestones
• Resolve design issues arising from site conditions during construction
• Chair design coordination meetings and technical reviews
• Ensure alignment between client requirements, design intent, and construction execution
• Maintain design documentation control throughout the project lifecycle
• Any other ad-hoc duties as assigned

Requirements:

• Degree in Architecture, Architectural Engineering, or related built environment discipline
• Minimum 6 years of experience in semiconductor fab, cleanroom, or advanced manufacturing construction projects
• Strong knowledge of cleanroom design principles and semiconductor facility requirements
• Proven experience coordinating architectural, structural, MEP, and process utility designs
• Familiarity with semiconductor process tools and vendor coordination
• Experience in design-build or EPC project environments
• Proficient in BIM coordination tools (Revit, Navisworks or equivalent)
• Strong understanding of construction sequencing and constructability
• Ability to manage design changes, RFIs, and technical clarifications during construction
• Excellent coordination, communication, and stakeholder management skills
• Experience working with main contractors, consultants, and equipment vendors
• Professional Architect registration is an advantage but not mandatory
• Proficiency in Chinese is preferred to support communication with regional or group stakeholders
• Ability to work independently as well as collaboratively in a fast paced and dynamic environment

• Play a strategic role in building and scaling a high-impact partner ecosystem
• Work closely with partner CTOs and technical leaders to co-create GTM solutions

About Our Client

Our client is a global cloud and AI platform provider with a strong focus on building a scalable partner ecosystem. With rapid growth across Asia and international markets, the organisation works closely with system integrators, ISVs, and managed service providers to deliver innovative, enterprise-grade solutions. Employees benefit from a collaborative, high-growth environment focused on driving joint success with partners and advancing cloud and AI adoption.

Job Description

• Co-create cloud & AI solutions with partners
• Enable partners through training and architecture guidance
• Support POCs, deployments, and partner-led deals
• Build reusable solution frameworks
• Drive joint GTM and technical success

The Successful Applicant

• At least 5 years in solutions architecture / partner pre-sales
• Experience with cloud ecosystems (SI, ISV, MSP)
• Strong cloud architecture knowledge
• Experience enabling partner technical teams
• Good stakeholder and communication skills

What's on Offer

• High-impact partner-facing role
• Regional exposure across ASEAN
• Competitive salary + growth opportunities
• Learning & certification support

Michael Page International Pte Ltd | Registration No. 199804751N 

Responsibilities:

• The projects that we are involved in covers a very broad spectrum including commercial, industrial, institutional, mixed-development, residential, healthcare, infrastructure etc.
• Project Management, coordinate and assist in the day to day running of projects assigned.
• Liaise and coordinate with Clients, Consultants and Contractors.
• Ensure compliance with local building codes and regulations.
• Confidently administer the contract and effectively manage the project team.
• Coordinate and carry out tender, evaluation, recommendation and award processes.
• Proactively identify and resolve technical coordination, site or compliance issues.
• Keep updated on contractual and authorities' requirements.

Requirements:

• Degree in Architectural from recognized tertiary institution under BOA Singapore
• Minimum 8 years post graduate experience
• Familiar with BIM and Authorities submission process and guidelines
• Proficient in Autocad, Revit, Sketchup

Interested and suitable candidate kindly click quick apply. Resume will be routed to Jasmine Chin Yan Min. We regret that only suitable candidate will be notified.

GEMS Recruit/EA License: 23C1459

EA Personnel No: R1442379 (Jasmine Chin Yan Min)

Cloud Architect

• Any New Cloud/Infra/Common Service/GCC Implementation
• Strong knowledge on GCC 2.0 architecture and implementation.
• Subscriptions & Compartment
• Infra and Network architecture
• MGMT Compartment
• Intranet/Internet Apps Compartment
• Intranet / Internet Common Service Compartment
• LLZ Compartments
• Cloud Administrator
• All Cloud Native Implementation
• AD Authentication
• Corp apps App Service
• Cloud Infra Admin
• All Infra Creation
• DevOps Admin
• Terraform
• Must have experience in leading a cloud migration project
• Strong communication, interpersonal and collaborative skills.
• Good project management skills. Work well within a team but also able to work individually in stressful incident situations.
• Experience in Oracle Application cloud migration (preferred)

REQUIREMENT

• Minimum 6 - 7 years of experience, preferably with a Consulting or Technology firm, in designing and implementing private / public / hybrid cloud infrastructure solutions.
• Possess knowledge in cloud architecture and implementation features (OS, multi-tenancy, virtualization, orchestration, elastic scalability);
• Strong knowledge on GCC 2.0 architecture.
• Experience in the design of Multi-Cloud Services.
• Possess knowledge of cloud architecture, cloud native patterns, container management and cloud computing capabilities especially as offered by Azure.
• Understanding Azure Defense-in-Depth security and auditing capabilities such as Azure Security Center, Sentinel, Monitor. Network Watcher, etc.
• Understanding of the various IT infrastructures and application stacks.
• Utilizing cloud security controls, network boundary controls, and related toolsets.
• Understanding agile software development and ability to apply DevOps concepts such as Infrastructure-as-Code using Azure Resource Manager templates, CI/CD using Terraform, Azure Pipelines; and Configuration Management using Chef, and Ansible.
• Working within customer requirements and advising customers on best practices while upholding customer service standards.
• Experienced with scripting in one or more of the following languages: Python, Java, JavaScript, and C#/. NET
• Good to have skill
• Prefer to have one or more of the following technical certifications:
• Microsoft Certified: Azure Administrator
• Microsoft Certified: Azure Solutions Architect Expert
• Knowledge of both SQL and NoSQL databases, including performance tuning and troubleshooting

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOL job application platform - GO Mobile.

This is in partnership with Employment and Employability Institute Pte Ltd (“e2i”). e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to e2i’s PDPA.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolsingapore.com/policies . You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOL Singapore Pte Ltd

• RCB No. 200007268E • EA License No. 01C4394

• Reg. R23118506, Goh Li Min

Working Day: Mon to Fri

Working Hours: 9am - 6pm

Office Location: Bukit Merah

Salary: $3,000 - $4,200

Responsibilities:

• Prospect, identify and establish new customers.
• Plan and execute sales strategies to achieve the sales quota.
• Effectively manage and drive the sales cycle from prospection.
• Engage and develop a strong network with decision-makers/key influencers within the customer community and vendor community.
• Collect, track, and analyze large amounts of data.
• Other tasks and projects as assigned by Reporting Manager or Management

Requirements:

• Diploma/Degree in IT/Engineer or Business Administration.
• Prior experience in Sales

Kelly Chong Reg No:R26161160

The Supreme HR Advisory Pte Ltd EA No: 14C7279