Total 4,963 manufacturing engineer job vacancies in Engineering category in The Philippines

The junior engineer is report to a design engineer and assisting the engineer to complete the production drawings, to develop from concept to detailing. Thereafter, the junior engineer will follow through the project from project time schedule, ITP and liaise with customer for the FAT and SAT.

The drawings are the main line of communication to our production foreman welders, and quality department to fabricate all deck machinery.

Required Skill Sets

· Proficient in AutoCAD / Solidwork to develop fabrication drawings

· Diploma or equivalent education and experience in any discipline

· Fresh diploma holder during the keystone project involve in design and hand on process to the products or during the internship in engineering firm is encourage to apply the post.

· Must have basic computer skills. (Word, Excel, Record-keeping software, Outlook, etc.)

· Ability to organize and prioritize work load

Department Overview:

The Intl AI CoE plays a key role in defining and implementing the firm's AI strategy, driving change through these capabilities, enforcing data, cloud and AI governance for the firm, and elevating Nomura's data culture.

Role Description:

• Information delivery & analytics. State-of-the-art expertise across, Large Language Model (LLM) Integration, prompt engineering strategies and templates, retrieval-augmented generation (RAG) and agentic system etc.
• AI Ops. Responsible for integration, deployment and monitoring of Generative AI products and solutions. Enabling data architecture and delivery of data-analytics AI platforms and Solutions- on-premises, cloud, and hybrid ensuring adherence and conformance to Nomura standards and policies
• Be a trusted partner. Shape the information & analytics agenda at Nomura, and work with all of Nomura’s businesses in laying out their information & analytics adoption roadmaps.
• Risk Mindset: Familiar with risk and controls frameworks and ability to operate with a control mindset

Skills, experience, qualifications, and knowledge required:

Core Skills requirement:

• Proven experience in designing and developing AI agents or chatbots using Large Language Models (LLM), RAG, and agentic frameworks.
• Hands-on experience in building context-aware dialogue systems with multi-turn conversation management features.
• Demonstrated experience in developing and maintaining APIs and SDKs for integration of Generative AI services.
• Experience in developing and deploying scalable, fault-tolerant microservices and server-side APIs using modern frameworks and best practices.
• Proven experience in deployment automation using CI/CD pipelines (e.g., Jenkins, GitLab) and applying DevOps methodologies and enterprise integration standards.
• Proficiency in programming languages such as Python, SQL, and Unix scripting for AI and data processing workflows.
• Experience with cloud technologies such as AWS EC2, EMR or similar tools with ability to drive design and data model discussions, hybrid data architecture.
• Proficiency in React with hands-on experience in UI development a plus.
• Experience collaborating with global and cross-functional teams across different regions and time zones to deliver AI solutions.
• Demonstrated ability to manage multiple concurrent AI projects and meet delivery timelines in dynamic environments.
• Experience managing stakeholder expectations of senior management.
• Proficiency in written and verbal communication skills, including the ability to document and present complex concepts.
• Demonstrated analytical skills to assess technical problems, evaluate data-driven insights, and recommend actionable solutions.
• Experience reviewing system requirements, identifying optimization opportunities, and proposing enhancements aligned with organizational goals.

Education and experience

• At least 4-year Bachelor’s degree in quantitative fields with minimum of 5 years of relevant data experience in data engineering /Gen AI, full stack engineering, preferably in financial organizations or Masters in quantitative fields (Computer Science, Computer Engineering, Statistics or similar)
• Experience of working with a multi-cultural, multi-disciplined, globally dispersed teams
• Professional certifications in AI/ML frameworks, cloud technologies, or DevOps tools (e.g., AWS Certified Machine Learning, TensorFlow, or Kubernetes) are advantageous.

Nomura Competencies

Explore Insights & Vision

• Identify the underlying causes of problems faced by you or your team and define a clear vision and direction for the future.

Making Strategic Decisions

• Evaluate all the options for resolving the problems and effectively prioritize actions or recommendations.

Inspire Entrepreneurship in People

• Inspire team members through effective communication of ideas and motivate them to actively enhance productivity.

Elevate Organizational Capability

• Engage proactively in professional development and enhance team productivity through the promotion of knowledge sharing.

Inclusion

• Respect DEI, foster a culture of psychological safety in the workplace and cultivate a "Risk Culture" (Challenge, Escalate and Respect).

Diversity Statement

Nomura is committed to an employment policy of equal opportunities and is fundamentally opposed to any less favourable treatment accorded to existing or potential members of staff on the grounds of race, creed, colour, nationality, disability, marital status, pregnancy, gender, or sexual orientation.

DISCLAIMER: This Job Description is for reference only, and whilst this is intended to be an accurate reflection of the current job, it is not necessarily an exhaustive list of all responsibilities, duties, skills, efforts, requirements or working conditions associated with the job. The management reserves the right to revise the job and may, at his or her discretion, assign or reassign duties and responsibilities to this job at any time.

Nomura is an Equal Opportunity Employer
SFID: 11821

Activate Interactive Pte Ltd (“Activate”) is a leading technology consultancy headquartered in Singapore with a presence in Malaysia and Indonesia. Our clients are empowered with quality, cost-effective, and impactful end-to-end application development, like mobile and web applications, and cloud technology that remove technology roadblocks and increase their business efficiency.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We are searching for our next team members to join our growing team.

If you love the idea of being part of a growing company with exciting prospects in mobile and web technologies that create positive impact on people’s lives, then we would love to hear from you.

Co-Development Business Unit is hiring for Systems Engineer (Full Stack).

You will work in Singapore Government Agencies.

This is a fixed term contract. The engagement is 8-month

Internal Code: A26193

What will you do?

We are seeking a Systems Engineer (Full Stack) with strong foundations in cloud infrastructure, DevOps, and system integration, complemented by hands-on expertise in full stack engineering and scalable platform development.

As you will be working on a full stack engineering role focused on building and operatingAPIs and microservices, core competencies such as cloud platforms, DevOps practices, and backend/frontend engineering are mandatory foundations.

Operating at the intersection of full stack development, cloud infrastructure, and platform engineering, this role drives the design, delivery, and operation of scalable backend services and APIs for Singapore’s Land Transport Authority, ensuring solutions are built with engineering rigor, tested thoroughly, and operated with production reliability.

Full Stack Development & Delivery

• Design and build RESTful and event-driven APIs, microservices, and backend platforms using ECMAScript (TypeScript/JavaScript), Go, and Python
• Implement CI/CD pipelines for automated testing, build, and deployment of services on AWS
• Deploy and operate containerised services on Kubernetes (EKS); manage service configuration, health checks, and rolling deployments
• Translate stakeholder needs into well-defined API contracts, data models, and system requirements with full traceability
• Integrate backend services with LTA’s existing infrastructure, databases, message queues, and third-party APIs ensuring seamless interoperability
• Write clean, well-tested, production-grade code with thorough unit and integration test coverage
• Automate data pipelines and workflow orchestration using AWS services and Infrastructure as Code
• Foster cross-functional collaboration among product managers, designers, security teams, and operations staff

Production Implementation & Operations

• Deploy and operate production-ready microservices and platform APIs at scale across LTA infrastructure on AWS
• Build and manage Kubernetes workloads with containerisation, monitoring, and automated health checks
• Implement comprehensive monitoring, logging, and alerting for production backend services
• Integrate platform services with LTA’s APIs, databases, message queues, and network systems
• Optimise system performance, API response times, and throughput to meet latency and scalability requirements
• Participate in architecture and design discussions, contributing to platform scalability and service design decisions
• Implement security, compliance, and data governance including PDPA compliance, encryption, and access controls

System Integration & Maintenance

• Maintain and troubleshoot deployed infrastructure with systematic debugging and root cause analysis
• Monitor system health, implement automated remediation, and respond to production incidents
• Manage service versioning and release pipelines ensuring reproducibility and rollback capabilities
• Provide technical support for infrastructure, networking, and backend service performance issues
• Collaborate with operations teams ensuring reliability, uptime SLAs, and operational excellence

What are we looking for?

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related technical field (required)

• Master’s degree in Computer Science, Software Engineering, or related field (preferred)
• AWS certifications: Solutions Architect Associate/Professional, Developer Associate, DevOps Engineer Professional
• Kubernetes certifications: CKA, CKAD
• HashiCorp Terraform Associate or equivalent IaC certification
• Other relevant technical certifications
• Core Full Stack Engineering (Required)
• Cloud Platforms: AWS infrastructure and services including EC2, S3, Lambda, VPC, IAM, CloudWatch, ECS/EKS; cloud architecture for compute, storage, networking, and security
• DevOps & Automation: Git version control, CI/CD pipelines, Infrastructure as Code, Docker containerization, Kubernetes orchestration, automated testing and deployment strategies
• Systems Integration: RESTful API design and development, data pipelines and ETL processes, database integration, networking fundamentals, distributed systems and microservices
• Programming: ECMAScript/TypeScript (required), Go (required), Python (required); production-grade practices including automated testing, structured logging, and API documentation
• Platform & Full Stack (Preferred)
• Frontend: React or similar modern frontend framework; responsive design; REST/GraphQL API consumption; basic UI/UX sensibility
• Kubernetes & Platform: Kubernetes workload management (preferred); Helm charts; service mesh concepts; AWS EKS; infrastructure provisioning with Terraform or CDK
• Observability & Quality: Structured logging, distributed tracing, metrics dashboards (CloudWatch, Datadog, or similar); test pyramid understanding; code review practices
• Application Domains
• Backend API and microservices platform development for public-facing and internal-facing LTA systems
• Cloud-native service integration with AWS-hosted infrastructure and government platforms

• Experience with transportation, smart city, or public sector digital services is a strong plus
• Strong systems-thinking mindset to decompose complex problems into modular solutions
• Excellent communication and stakeholder management translating technical concepts to non-technical audiences
• Ability to balance technical depth with production delivery and operational reliability
• Proactive, collaborative, and adaptable in fast-evolving technical environments
• Documentation expertise: technical documentation, architecture diagrams, runbooks, API documentation
• Mentoring and knowledge transfer capabilities
• Agile/project management experience
• 2–4 years hands-on experience as a full stack or backend engineer building production services with ECMAScript/TypeScript, Go, or Python on cloud platforms
• Proven track record shipping and operating production APIs and services on AWS with reliability, monitoring, and incident response
• Strong foundation in API design, microservices architecture, databases, and distributed systems
• Demonstrated experience delivering full stack features end-to-end from API design through deployment and monitoring
• Kubernetes experience (CKA/CKAD certified or equivalent practical experience) is highly valued
• Contributions to open-source projects or portfolio of shipped software products is a plus
• Government or public sector project experience with compliance requirements advantageous
• Portfolio or GitHub demonstrating shipped software — APIs, services, or full stack applications
• Ability to work with non-technical stakeholders and translate complex technical concepts clearly
• Understanding of data privacy, security, and compliance in government contexts
• Problem-solving mindset with ability to work independently and in cross-functional teams
• On-call availability for production infrastructure support on rotation basis
• Ability to respond to incidents with systematic troubleshooting under pressure

Work Arrangement

• Hybrid work model: 3 days onsite at LTA per week, 2 days remote work
• Flexibility required: Must be available onsite on remote days if meetings or operational needs arise
• Location: Land Transport Authority offices, Singapore; occasional visits to GovTech HQ
• Collaboration: Regular interaction with LTA stakeholders, operations teams, and cross-functional project teams

This is a contract position (half a year) with GovTech Singapore, deployed to the Land Transport Authority. We are committed to building an inclusive and diverse workplace that reflects the Singapore we serve.

What do we offer in return?

Competitive Compensation: Market competitive salary and variable performance bonus aligned to your skills, impact, and contribution. 

Benefits: Outpatient medical, specialist medical coverage and generous customisable flexi benefits, or flexi allowance; life and health insurance, thoughtful perks like special occasions “red packet” and CNY goodies, etc. 

Employee Wellness: Support for your physical, mental, and overall well-being through year-round initiatives. 

Growth & Development: Learning programmes, certification support, and a dedicated staff development budget. (We are a “SHRI 2025 Gold winner” in “Learning & Development; Coaching & Mentoring”) 

Career Progression: Structured career pathways that enable you to grow along a technical/domain expert track or a leadership track. 

Competency Framework: A structured and practical framework to support you to develop, perform, and succeed. 

Flexible Work Arrangement: Staff may choose to work flexi-place, flexi-time, and flexi-load based on existing framework 

Why you'll love working with us? 

If you are looking for opportunities to collaborate with leading industry experts and be surrounded by highly motivated and talented peers, we welcome you to join us. We provide all employees with equal opportunities to grow and develop with us. We believe your success is our success. 

Does it sound like something you are interested in exploring further? Please be in touch with our team for an initial chat.

Activate Interactive Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Activate Interactive Pte Ltd does not discriminate in employment opportunities or practices on the basis of race, colour, religion, gender, sexuality, national origin, age, disability, marital status or any other characteristics protected by law. 

Protecting your privacy and the security of your data are longstanding top priorities for Activate Interactive Pte Ltd. 

Your personal data will be processed for the purposes of managing Activate Interactive Pte Ltd’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes. 

Please consult our Privacy Notice () to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data. 

Deals with clients,designers, consultants and contractors, supervies and implements projects fromstart to the completion and handover.

- Perform preventive andcurative Electrical and instrument maintenance.

- Project planning &coordination including preparation of drawing and explain to team.

- Procurement andscheduling of electrical works.

- Settle issues onsystems after handover during the defects and liabilities period.

Supervisesduring the construction stage from start to the completion and handover of theproject.

-Minimum Degree in Engineering or similar field its equivalent.

-Good interpersonal skills and pro-active in problem solving.

-Proficient in Microsoft office - Word, Excel & Powerpoint.

Knowledgein other design related software such as Autocad and Autocad 3Dmax.

-Can work under pressure and team player.

-Able to work long hours due to project urgency if needed.

- Qualityfocused and ability to meet deadlines in fast-paced project environment.

-Ad-hoc duties

Overview

We are looking for a Full-Stack Engineer with a strong foundation in software engineering and modern AI technologies. The ideal candidate will have experience building scalable applications, integrating LLM-powered solutions, developing AI agents and RAG systems, and working across the full software development lifecycle. Experience with the Pega platform will be highly advantageous.

Responsibilities

• Analyse business needs, identify problem statements, and recommend technology solutions to address organisational objectives.
• Gather, document, and validate functional and technical requirements with stakeholders.
• Collaborate with business users, vendors, and project teams to clarify requirements, review solution designs, and obtain stakeholder buy-in.
• Design, develop, test, and deploy scalable software applications that deliver a high-quality user experience.
• Prepare and maintain architecture diagrams, technical specifications, and system documentation.
• Work closely with Business Analysts to refine requirements, elaborate user stories, and define acceptance criteria.
• Support Quality Assurance activities, including test automation, defect analysis, and bug resolution.
• Partner with DevOps teams to automate build, deployment, and release processes.
• Drive adoption and ensure smooth deployment of new solutions through stakeholder engagement and support.
• Assess enhancement requests, evaluate system impacts, and recommend implementation approaches.
• Investigate and resolve application incidents, perform root cause analysis, and implement preventive measures to minimise recurrence.
• Apply software engineering best practices including code reviews, unit testing, and continuous improvement methodologies.
• Ensure solutions comply with IT governance, security standards, quality management policies, and organisational guidelines.

Requirements

• Degree or Diploma in Computer Science, Information Technology, Computer Engineering, Electronics Engineering, or a related discipline.
• Technical Skills
• Strong proficiency in Python, including backend application development and API design using frameworks such as FastAPI.
• Experience designing AI agent systems with capabilities such as memory, tool usage, planning, and autonomous task execution.
• Familiarity with REST APIs, web services, secure file transfer (sFTP), and system integration patterns.
• Experience with software testing, code quality practices, and automated testing frameworks.
• API integration with platforms such as OpenAI, Anthropic, Gemini, and AWS Bedrock

Solid understanding of Large Language Models (LLMs), including:

• Tokenisation
• Context windows
• Prompt engineering

Hands-on experience building AI-powered applications and agentic workflows using frameworks such as:

• LangChain
• LangGraph
• LlamaIndex

Experience designing and implementing Retrieval-Augmented Generation (RAG) solutions, including:

• Vector databases (e.g. Pinecone, Weaviate, FAISS)
• Embedding models and retrieval strategies
• Integration with enterprise knowledge sources

Platform & Infrastructure

Experience in one or more of the following areas:

• Agile software development methodologies
• CI/CD pipelines and DevOps practices
• Cloud platforms such as AWS or GCP
• Serverless architectures
• Docker and containerisation technologies

Preferred Experience

• 2–5 years of experience with the Pega platform.
• Experience integrating AI and LLM capabilities into Pega applications and workflows.
• Hands-on participation in at least one end-to-end Pega project implementation.
• Experience delivering medium to large-scale enterprise or government technology projects.
• Consulting, Business Analysis, or solutioning experience.
• Experience facilitating workshops, gathering requirements, and translating them into Agile user stories and acceptance criteria.
• Experience supporting SIT, UAT planning, execution, and stakeholder sign-off.

Key Responsibilities

• Assess contract terms, technical drawings, and equipment specifications to ensure compliance with design requirements.

• Ensure timely delivery of design and engineering production drawings for awarded projects.

• Coordinate with designers, classification societies, vendors, and clients to meet specifications for newbuilding, repair, and conversion projects.

• Interpret design drawings and apply classification rules and maritime regulations in project execution.

• Address technical comments in writing, propose solutions, and prepare drawing remarks for distribution to relevant stakeholders.

• Prepare production drawings based on class-approved or client-issued design documents.

• Develop technical drawings including general arrangements, outfitting plans, lifesaving equipment layouts, structural strength calculations, block construction plans, weight estimates, weight control reports, and lifting arrangements.

• Support commercial newbuilding and repair teams during tender exercises by developing preliminary design concepts aligned with tender requirements.

• Work both independently and collaboratively within a team environment.

Requirements

• Polytechnic Diploma or Bachelor's Degree in Marine Engineering, Naval Architecture, or an equivalent qualification.

• Minimum 3–5 years of engineering experience in structural design within the marine or offshore industries.

• Proficient in Microsoft Word, Excel, PowerPoint, and AutoCAD.

• Willingness to travel overseas for technical meetings as required.

• Ability to interpret marine structural drawings, understand technical specifications, and engage in client discussions.

• Strong analytical, communication, and interpersonal skills.

☑ Good Bonuses

☑ Near MRT

☑ Family Friendly Environment

Job Description:

• Design, implement, and support enterprise network infrastructure.
• Deliver network solutions and infrastructure projects.
• Monitor, troubleshoot, and optimize network performance and security.
• Manage technology lifecycle, documentation, and operational support.

Requirements:

• At least a Diploma with at least 4 years of network engineering experience.
• Strong knowledge of routing, switching, security, and network protocols.
• Hands-on experience with Cisco, Check Point, Palo Alto, and Fortinet technologies.
• CCNP and firewall certifications preferred, with strong troubleshooting skills.

Loh Puay Hwee David

EA License | 24C2215

EA Registration Number | R1766892

Client introduction

Our client is an established fintech headquartered in Singapore, operating across payments and foreign exchange with a footprint spanning Asia and beyond, including a significant client base in Greater China. As the business scales towards its next stage of growth, they are building out the senior layer of their reliability function.

They are hiring a newly created Lead Site Reliability Engineer (Quality Assurance) sits within the SRE team as a key technical hire and co-lead with the Head of SRE.

Job responsibilities

• Own production reliability across the FX and payments platforms - monitoring, observability, alerting, and the definition and tracking of SLIs and SLOs.
• Lead incident response end to end, including war rooms, post-mortems, root-cause analysis and the upkeep of operational runbooks.
• Strengthen quality assurance across the platform - improving test coverage, release sign-off standards, and modernising legacy test automation toward more automated and AI-assisted workflows.
• Support client API integration from sandbox to production, including liquidity provider onboarding and conformance testing.
• Act as the technical escalation bridge between clients, internal users and engineering, supporting China-based clients directly on production and integration issues.
• Lead business continuity and disaster recovery testing, including failover, recovery and audit evidence preparation.
• Contribute to DevOps and tooling improvements across reliability, testing and support.
• Coach and uplift a team of junior SRE and QA engineers, setting standards and mentoring on best practice as the function matures.

Job requirements

• At least 6 years of experience in site reliability, production support, platform engineering or technical operations, ideally within fintech, payments, FX, trading systems or another high-availability environment.
• Strong hands-on troubleshooting across production systems, logs, APIs and application behaviour.
• Hands-on quality assurance exposure - test automation, release support or regression testing - as the role spans both reliability and quality.
• Working knowledge of API integration and comfort in client-facing or client-support situations; sandbox-to-production experience is an advantage.
• Solid fundamentals across cloud and containers (AWS, Docker, Kubernetes), monitoring and observability tooling (Grafana, Prometheus, OpenSearch, CloudWatch), and scripting (Python, Java, Bash).
• People management or team-lead experience is necessary.
• Sound grounding in incident management, RCA and BCP/DR practice.
• Professional spoken and written Mandarin proficiency is required to communicate directly with China-based clients and stakeholders, support production issues, and manage API integration activities.
• Suited to someone hands-on today who wants to grow into a broader leadership role. Candidates requiring relocation to Singapore are welcome to apply. Relocation expenses will not be provided for this position.

Why you should join them

• A newly created, high-visibility role as second-in-command within the reliability function, with a genuine path to grow into a deputy or co-leadership position through succession planning.
• Direct exposure to senior engineering leadership, reporting to the Head of Engineering and working alongside the infrastructure team.
• Broad ownership across reliability, quality, client integration and incident management, with room to shape how these run rather than inherit a fixed playbook.
• A modern technical environment with real appetite for AI-assisted tooling across testing, RCA and support, plus a hybrid working arrangement.

JL
Reg. No. R1766249
BeathChapman Pte Ltd
Licence no. 16S8112

1. Installation, maintenance and servicing of a wide variety of equipment including but not limited to:

• General security systems
• Alarm systems
• CCTV systems
• Access control systems

2. Troubleshoot problems encountered on site

3. Diagnose and resolve issues related to network connectivity, server performance, and communication between security systems (e.g., CCTV, alarm systems, access control systems).

4. Provide feedback to management on issues faced on the ground

5. Perform routine maintenance and firmware updates on servers, network devices, and security system software to ensure systems remain reliable and up-to-date

Job Requirements

• Candidate must possess at least a NITEC or Diploma in Engineering (Electrical/ Electronic/ Information Technology) or equivalent
• Minimum 2 years’ experience in Operational Technology/ Information Technology industry
• Knowledge of networking and IP/TCP protocol
• In-depth knowledge in CCTV, Access Control and System Server etc.
• Hands-on experience in security-related tasks such as OS tightening, patching and updating, virus scanning will be an added advantage.
• IT Certification in windows system & storage, network, database, virtualization, cloud technologies will be an added advantage
• Good communication skills and positive working attitude.

Benefits

• Annual Wage Supplement (13th month) and Performance Bonus
• Medical and Dental Benefits
• Corporate Insurance coverage
• Annual Pay Increment

Clarice Lim (R1656152) | Anchor Search Group Pte Ltd (17C8528)

About the Role

We are seeking a motivated Infrastructure Engineer to support the operation, maintenance and enhancement of enterprise infrastructure platforms within a highly regulated environment. The successful candidate will be involved in managing Windows server environments, virtualization platforms, system maintenance activities, and infrastructure projects while ensuring high system availability and operational excellence.

Key Responsibilities

• Provide technical support for the maintenance, administration and patching of enterprise infrastructure systems

• Support Windows Server, virtualization and end-user computing platforms including Citrix and Nutanix environments

• Perform system monitoring, troubleshooting and issue resolution to minimise service disruptions

• Support incident, service request and change management activities

• Assist in infrastructure implementation, system refreshes and technology upgrades

• Coordinate with internal stakeholders, vendors and project teams to deliver technical solutions

• Manage IT asset inventory, equipment lifecycle tracking, condemnation and disposal activities

• Support compliance, audit and security-related initiatives

• Participate in project activities, documentation and operational support processes

Requirements

• Degree in Computer Science, Information Technology, Engineering or related discipline

• 1 to 3 years of experience in infrastructure, systems administration or platform engineering

• Experience supporting Microsoft Windows Server environments

• Exposure to one or more of the following technologies:

• Nutanix Acropolis Hypervisor (AHV)
• Citrix Virtual Desktop
• Ubuntu Linux
• Red Hat Enterprise Linux
• Microsoft System Center Suite
• BeyondTrust PAM/PIM
• RSA Security Appliances
• Splunk
• SolarWinds
• Tenable VMS
• Veeam Backup & Replication
• Ansible Automation Platform

• Good understanding of infrastructure operations, system lifecycle management and IT service delivery

• Strong troubleshooting, communication and stakeholder management skills

• Experience working with vendors and supporting infrastructure projects will be advantageous

Additional Information

• This role is fully onsite and does not offer work-from-home arrangements.

• This role supports a government-regulated project that requires the successful candidate to obtain the necessary security clearance. Due to clearance requirements, only Singapore Citizens are eligible for consideration.

How To Apply:

Submit your application by emailing a detailed copy of your updated Resume in MS Word Format to Lin Jin Sen (EA Personnel Reg. No. R25129852, Achieve Career Consultant Pte Ltd EA Licence No. 05C3451)

by clicking the “Apply Now” or email to andie.lin@achievegroup.asia for a confidential discussion

Current & Expected Salary

Reason(s) for leaving

Notice Period / Availability to commence work

YOUR SUCCESS IS OUR ACHIEVEMENT!

By submitting any application or résumé to us, you will be deemed to have agreed and consented to us collecting, using, retaining and disclosing your personal information to prospective employers for their consideration.

Cessation Of Collection Of Full NRIC Numbers:

In compliance with the Personal Data Protection Act and commitment to protect candidates’ personal data, Achieve Group will cease to collect, process or use full NRIC numbers during our screening and job application process.

Kindly ensure your resumes provided to us does not contain your full NRIC number and full home address during your job application.

We regret that only shortlisted candidates will be notified.

Role Overview

We are seeking an experienced DevSecOps Engineer to support the security, reliability, scalability, and operational excellence of enterprise-grade Generative AI platforms and cloud-native applications.

The successful candidate will be responsible for managing cloud infrastructure, deployment pipelines, platform security, system reliability, and operational processes while supporting the continued evolution of modern cloud and container platforms.

Key Responsibilities

Cloud Infrastructure and Platform Engineering

• Design, implement, manage, and optimise cloud infrastructure environments supporting enterprise applications and AI workloads.

• Maintain and enhance containerised workloads running on AWS ECS and support the planning, deployment, and administration of Kubernetes environments using AWS EKS or equivalent technologies.

• Support infrastructure scalability, availability, performance, and operational efficiency.

AWS Platform Administration

• Provision, configure, and manage AWS services supporting application platforms, including databases, search services, AI services, networking, and load balancing components.

• Administer cloud infrastructure services including Amazon RDS, OpenSearch, Bedrock, ELB, and related platform services.

• Monitor cloud resource utilisation and implement optimisation initiatives where appropriate.

Security, Access Control and Network Management

• Implement and maintain security controls across cloud and application environments.

• Manage identity and access management (IAM), role-based access controls (RBAC), and network security policies.

• Support secure network architectures and controlled-access environments in accordance with organisational security requirements.

• Collaborate with stakeholders to ensure compliance with enterprise security standards and governance frameworks.

System Reliability and Disaster Recovery

• Establish and maintain monitoring, logging, alerting, and observability capabilities across infrastructure and platform environments.

• Support incident response, troubleshooting, root-cause analysis, and service recovery activities.

• Design, implement, and maintain backup, recovery, and disaster recovery strategies.

• Support platform resilience, business continuity, and operational readiness initiatives.

CI/CD and Automation

• Design, implement, and maintain CI/CD pipelines supporting secure software delivery practices.

• Integrate security testing, vulnerability scanning, and compliance checks within deployment pipelines.

• Support automation initiatives through Infrastructure as Code (IaC), configuration management, and deployment automation technologies.

Compliance and Vulnerability Management

• Support vulnerability assessment, remediation, patch management, and security improvement activities.

• Coordinate penetration testing activities and remediation of identified findings.

• Maintain technical documentation and support audit, compliance, and governance requirements.

• Ensure infrastructure and deployment processes align with organisational security standards and policies.

Infrastructure Transition and Knowledge Transfer

• Collaborate with internal teams and external partners to document, transition, and optimise existing infrastructure environments.

• Support infrastructure knowledge transfer, operational readiness, and long-term platform sustainability.

Requirements

Qualifications and Experience

• Bachelor's Degree in Computer Science, Information Technology, Software Engineering, Cybersecurity, or a related discipline.

• At least 3 years of experience in DevOps, DevSecOps, Cloud Engineering, Platform Engineering, or related roles.

• Strong hands-on experience with AWS infrastructure, networking, and cloud services.

• Experience managing containerised workloads using AWS ECS and familiarity with Kubernetes administration, including AWS EKS or equivalent platforms.

• Strong understanding of secure network architecture, identity and access management, vulnerability management, and infrastructure security practices.

• Experience building and maintaining CI/CD pipelines, preferably using GitLab CI/CD or similar technologies.

• Experience with monitoring, logging, troubleshooting, backup management, and disaster recovery processes.

• Experience supporting production-grade cloud environments and operational platforms.

Preferred Experience

• Experience working in highly regulated, security-sensitive, or compliance-driven environments.

• Familiarity with government cloud environments, enterprise security frameworks, or industry compliance standards.

• Experience with Infrastructure as Code tools such as Terraform, AWS CloudFormation, or Ansible.

• Experience supporting AI, machine learning, analytics, or high-performance computing workloads.

• Familiarity with AI-enabled engineering and automation tools.

Additional Information

• Appointment level and remuneration will be commensurate with qualifications, skills, and relevant experience.

Mechanical Design Engineer (Semiconductor Tooling Design)

5 days, 8.30am-6.15pm

Salary: $3500- $6000

Location: Ubi 

Company background:

Specializes in Semiconductor Backend Tooling including Die Attach Tools, Wire Bond Tools & Bond Test Tools

Job Responsibilities:

• Design and development of Semiconductor Tools and mechanical systems.
• Planning, Scheduling and Costing of Tools and Mechanical Modules
• Responsible for 3D & 2D drawings, tolerance analysis, BOM preparation.
• Working closely with Electrical, Vision and Software Engineers.
• Willing to work extended hours in critical phases of project execution.

Job Requirements:

• Diploma or Degree in Mechanical Engineering or related Technical disciplines.
• Minimum 3 years of design experiences in semiconductor tooling
• Experience with Design and Development of High-Speed Pick and Place Systems, Flip Chip Bonders, Die Attach Machines, and Lamination Machine is a definite plus
• Proficiency with CAD Software is a must.
• Experience with vision application, thermal modelling, calculation and measurement techniques would be an advantage.

Cheong Yeat Long | R25145358

The Supreme HR Advisory Pte Ltd | EA 14C7279

Job Details:

• Salary Range: $5,500 - $6,000
• Working Hours: Monday - Friday (office hours)
• Central Area : Havelock MRT Station
• Yearly Renewable Contract

Hiring AI Specialist to Develop, implement and optimize AI solutions. Strong programming and machine learning skills required.

Key Responsibilities

• Lead the design, development, and deployment of AI and machine learning solutions
• Manage AI platforms, infrastructure, and model lifecycle (development to production)
• Drive end-to-end AI projects, including problem definition, data analysis, model building, and implementation
• Provide technical leadership and guidance to AI/data teams
• Collaborate with cross-functional stakeholders (business, policy, IT) to translate requirements into AI solutions
• Ensure compliance with AI governance, ethics, and cybersecurity standards
• Support adoption of AI best practices within a regulated/government environment
  

Requirements

• Degree in Computer Science, Artificial Intelligence, Data Science, Statistics, or related field
• Strong knowledge in: Machine Learning & Deep LearningData Analytics & Statistical Modelling AI frameworks and tools (e.g., Python, TensorFlow, PyTorch)
• Understanding of AI governance, ethics, and cybersecurity principles

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 https://sg.persolgo.com/job/apply/16101

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 • EA Registration No. R23117223 (Poh Siew Ling)

• Provide presales technical support by designing and recommending suitable technology solutions that address clients’ business and technical requirements.
• Work closely with the sales team to analyze customer needs and propose effective cybersecurity and networking solutions.
• Deliver product presentations and live demonstrations to customers, partners, and internal teams.
• Prepare technical proposals, solution architectures, and compliance matrices for tenders and project bids.

Requirements:

• Diploma in IT or equivalent
• At least 2 years of presales experience within the IT networking and cybersecurity domain.
• Experience with technical presentations, product demonstrations, and proof-of-concept deployments.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to hr@recruit-expert.com

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R1326740

Role Overview

We are seeking a Full-Stack Engineer with strong software engineering capabilities and practical experience in AI-powered application development. The successful candidate will be involved in the full software development lifecycle, from requirements gathering and solution design to implementation, testing, deployment, and ongoing support.

This role offers the opportunity to work on modern digital solutions incorporating AI, Large Language Models (LLMs), intelligent automation, and enterprise-grade applications.

Key Responsibilities

Business & Solution Analysis

• Analyse business requirements and identify suitable technology solutions.

• Gather, document, and refine functional and technical requirements.

• Evaluate alternative approaches and recommend optimal solutions.

• Collaborate with stakeholders to clarify requirements and obtain solution acceptance.

• Assess enhancement requests and evaluate their impact on existing systems.

Application Development

• Design, develop, and deliver high-quality software applications.

• Build scalable backend services, APIs, and full-stack solutions.

• Integrate AI and LLM capabilities into business applications and workflows.

• Develop and maintain technical architecture and design documentation.

• Ensure software quality through code reviews, testing, and engineering best practices.

Quality Assurance & DevOps

• Support the development of automated testing and quality assurance processes.

• Troubleshoot defects and implement timely bug fixes.

• Contribute to CI/CD pipelines and deployment automation.

• Collaborate with DevOps teams to improve build, release, and operational processes.

Support & Operations

• Support deployment activities and user adoption of new solutions.

• Investigate system issues and implement effective resolutions.

• Improve system reliability and establish preventive measures to reduce recurring incidents.

• Ensure compliance with organisational IT governance, quality, and security standards.

Requirements

Education

• Diploma or Degree in Computer Science, Information Technology, Computer Engineering, Electronics Engineering, or a related discipline.

Technical Skills

• Strong proficiency in Python development.

• Experience building backend APIs using frameworks such as FastAPI.

• Solid understanding of software engineering principles, data structures, and system design.

• Experience integrating with REST APIs and external services.

• Familiarity with software testing, debugging, and performance optimisation.

AI & Large Language Models (LLM)

• Strong understanding of LLM concepts, including:

  • Tokenisation

  • Context windows

  • Prompt engineering

  • API integration with AI platforms

• Experience working with AI platforms such as:

  • OpenAI

  • Anthropic

  • Google Gemini

  • AWS Bedrock

• Hands-on experience building AI-powered applications and workflows.

Agentic AI & RAG

• Experience developing AI agents and autonomous workflows.

• Familiarity with orchestration frameworks such as:

  • LangChain

  • LangGraph

  • LlamaIndex

• Experience implementing Retrieval-Augmented Generation (RAG) solutions.

• Knowledge of vector databases such as:

  • Pinecone

  • Weaviate

  • FAISS

• Understanding of embeddings, semantic search, and external knowledge retrieval techniques.

Enterprise Application Experience (Preferred)

• Experience with enterprise application platforms is advantageous.

• Experience integrating AI capabilities into enterprise workflows will be highly regarded.

• Exposure to at least one complete software development lifecycle project is preferred.

Cloud & Modern Engineering Practices

Experience in one or more of the following areas:

• Agile software development methodologies

• CI/CD pipelines and DevOps practices

• Cloud platforms (AWS, GCP, Azure, or equivalent)

• Serverless architectures

• Docker and container technologies

• Microservices architecture

Additional Preferred Experience

• Business Analysis or consulting experience.

• Experience delivering medium to large-scale enterprise projects.

• Knowledge of:

  • RESTful services

  • Secure file transfer solutions

  • Application security principles

  • System integration patterns

• Experience facilitating requirements workshops and translating requirements into Agile user stories and acceptance criteria.

• Experience supporting SIT, UAT, and production deployment activities.

Personal Attributes

• Self-motivated and able to work independently.

• Strong analytical and problem-solving skills.

• Excellent communication and stakeholder management skills.

• Strong collaboration and teamwork mindset.

• Effective presentation, facilitation, and listening skills.

• Passion for emerging technologies, AI innovation, and continuous learning.

Why Join Us

• Work on innovative AI and intelligent automation initiatives.

• Gain hands-on experience with LLMs, AI agents, and Retrieval-Augmented Generation (RAG) technologies.

• Contribute to enterprise-scale digital transformation projects.

• Collaborate with multidisciplinary teams in a dynamic and technology-driven environment.

• Opportunity to grow your expertise in cloud-native architectures, modern software engineering, and next-generation AI solutions.