Total 147 information technology job vacancies in Engineering category in The Philippines

Job Title: Failure Analysis Engineer

Minimum Years of Experience: Nil

Gross Salary Range: $ 3,000.00 - $4,500.00 Monthly

Qualifications: Bachelor, fresh graduate welcome, preferred with surface analysis experience (such as TOF-SIMS,  FTIR, AFM, XPS, AES, etc.).

Job Description:

•             Being able to operate analytical instruments in lab environment and conduct analysis for various customers independently;

•             Being able to prepare samples in needs and ensure the quality of the work and trouble-shoot the causes when problem occurs;

•             Being able to write analytical reports;

•             Being able to work in afternoon/evening shift or night shift if required;

•             Document new failure analysis operating procedures, training and certification specs;

•             Communicate with customer for selecting proper analytical techniques and data interpretation;

•             Participate in ISO17025 in maintaining the system

Job Requirements:

•             Bachelor or above in Material Science, Physics, analytical Chemistry or related science. Surface analysis experience (such as TOF-SIMS, FTIR, AFM, XPS, etc.) is preferred;

•             Being able to work afternoon/evening shift or night shift if required

•             Hands-on sample preparation experience for various analysis;

•             Team player with strong work ethic and able to thrive independently as well; strong problem-solving skills;

•             Strong language and reporting skills;

Role Overview

Singapore Citizens only

This role is responsible for architecting, implementing, and enhancing cloud infrastructure to ensure reliability, security, and cost optimisation. You will leverage cloud-native technologies, automate deployments, and build resilient systems with strong high availability and disaster recovery capabilities.

Key Responsibilities

• Build and manage cloud infrastructure using Infrastructure as Code (IaC) tools such as Terraform and AWS CloudFormation.
• Develop and maintain CI/CD pipelines using third-party or native cloud tools to support automated deployments.
• Monitor, analyse, and troubleshoot cloud environments to maintain performance, scalability, and system reliability.
• Apply security best practices by managing IAM policies, encryption mechanisms, and network security controls, ensuring compliance with industry standards.
• Configure and optimise cloud networking, including traffic routing and connectivity across environments.

Requirements

• Singapore Citizen only
• Degree in Computer Science, Information Technology, Engineering, or a related field.
• Minimum 5 years of experience designing and managing cloud infrastructure on AWS or similar cloud platforms.
• Strong hands-on experience with Terraform and AWS CloudFormation, with a solid understanding of infrastructure automation.
• Good knowledge of networking concepts, cloud security practices, and compliance frameworks.
• Experience in monitoring and troubleshooting cloud environments to ensure high availability and scalability.

Singapore Citizens only

Role Overview

We are seeking for Mid to Senior Level Full Stack Engineer.

This role focuses on building and maintaining secure development pipelines, embedding security controls throughout the software development lifecycle, and automating cloud-based deployment workflows.

Key Responsibilities

• Design and maintain CI/CD pipelines to support continuous integration and delivery.
• Implement automation for security monitoring and vulnerability remediation using scripting and security tools.
• Assess cloud environments and apply security best practices within cloud architecture.
• Partner with development teams to ensure security is integrated across all stages of the SDLC.
• Maintain compliance with established security standards and continuously improve DevSecOps processes.

What We Are Looking For:

• A degree in IT, Computer Science, Cybersecurity, Engineering, or a related discipline.
• Minimum 3+ years’ of experience in CI/CD pipeline development using tools such as GitLab CI, Jenkins, or AWS CodePipeline.
• Proficiency in cloud security practices, identity management, and compliance frameworks.
• Knowledge of scripting languages such as Python, Bash, or PowerShell for automation.
• Familiarity with security tools such as AWS Security Hub, Inspector, GuardDuty, andautomated scanning solutions

Responsibilities:

• Support IT infrastructure (PCs, physical and virtual servers, storage, network, on-premises and cloud) i.e. systems provisioning, installations, configurations as well as monitoring and maintenance.
• Provide L2technical support and advice to users on systems-related issues or queries.
• Perform systems administration/maintenance and works toward continuous optimization of systems performance.
• Standby with on-call availability with varied shifts including nights, weekends and holidays.
• Improve governance (policies, standards, guidelines) on successful delivery outcomes e.g. industry compliances, delivery frameworks/playbooks, port-mortem reviews, documentations
• Cross group collaboration
• Work closely with all technical group to on-board technical knowledge of solution offerings, inclusive of vendors and partners as needed

Requirements:

• Diploma/Degree or equivalent
• Experienced in M365End-Point Admin, and/or CompTIA Network.
• Min. 2-3 years of experience preferred.
• Technical knowledge infra stacks i.e. x86, Unix, storage and backups, networks, security, desktops/laptops/devices, servers
• Knowledge of OS –Linux, Windows OS, Mac OS, and Servers Operating Systems.
• Knowledge of Virtual Machines – VMware, Hyper-V
• Knowledge of Cloud – AWS, Azure, M365, Microsoft Intune, Alibaba, Huawei.
• Knowledge of network architecture and security, routers, switches, provisioning, firewalls, and security
• Possess problem solving skills and able to prioritize and manage multiple tasks.
• Demonstrated verbal, written communication and interpersonal skills with stakeholders.

Job Description

1. Equipment Installation: Assist in the installation and setup of various equipment at client sites.

2. Routine Maintenance: Perform scheduled maintenance checks on machinery and equipment to ensure optimal performance.

3. Troubleshooting: Diagnose and resolve technical issues promptly to minimize downtime.

4. Customer Support: Provide technical support to customers, address and resolve customer inquiries and complaints in a timely manner.

5. Quality Assurance: Ensure compliance with company quality standards and regulatory requirements during service operations. Adhere to all health and safety regulations and ensure compliance with industry standards.

Requirements

• Degree in Mechanical Engineering, Electrical Engineering, or a related field.
• 3-5 years of experience in heavy equipment industry.
• Technical knowledge and hands-on skills on monitoring, troubleshooting, servicing and maintenance would be an added advantage.

Job Descriptions

• Independently conduct contract negotiations, technical discussions, interface negotiations, and design coordination with clients; collect and confirm technical requirements.

• Collaborate with internal teams to determine technical solutions; be responsible for detailed electrical design of projects and preparation of technical documentation.

• Prepare electrical drawings, select and order electrical components, and produce BIM models related to electrical systems.

• Guide and participate in project testing and commissioning.

Provide customer training and technical support.

Requirement

• Bachelor’s degree or above in Electrical Engineering, Automation, Mechatronics, or related fields;
• At least 3 years of experience in electrical design for automation equipment;
• Solid computer skills, proficient in AutoCAD Electrical, MicroStation, Revit, and Microsoft Office;

• Fluency in reading, listening, and writing Chinese and English is a MUST to liaise effectively with third- parties and HQ management based in China.

• Interested in technical work, with strong logical thinking, good communication skills, and team spirit; detail-oriented, diligent, and highly responsible.

We are seeking a highly skilled Data Engineer to join our team in Singapore. The ideal candidate will have strong expertise in AWS native data services and Databricks with proven experience in designing, building, and optimizing end to end data pipelines. Prior exposure to public sector projects will be considered a significant advantage.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL processes.
• Implement data solutions leveraging AWS native services (e.g., S3, Glue, Redshift, Athena, EMR, Lambda).
• Build and optimize data workflows using Databricks for advanced analytics and machine learning workloads.
• Apply DevOps practices to automate infrastructure provisioning, CI/CD pipelines, and monitoring of data systems.
• Implement MLOps frameworks to operationalize machine learning models, ensuring reproducibility, scalability, and performance.
• Collaborate with data scientists, analysts, and business stakeholders to deliver reliable and secure data solutions.
• Ensure data quality, governance, and compliance with organizational and regulatory standards.
• Document technical designs, processes, and best practices.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field.
• Strong hands-on experience with AWS Data Services (S3, Glue, Redshift, Athena, EMR, Lambda).
• Proficiency in Databricks (PySpark, Delta Lake, MLflow).
• Solid understanding of data modeling, ETL/ELT, and data warehousing concepts.
• Experience with programming languages such as Python, SQL, and Scala.
• Proven experience with DevOps tools (e.g., Docker, Kubernetes, Terraform, Jenkins, GitHub Actions).
• Knowledge of MLOps practices (model deployment, monitoring, retraining pipelines, MLflow, Kubeflow).
• Familiarity with CI/CD pipelines, version control (Git), and cloud-native architectures.
• Strong problem-solving skills and ability to work in cross-functional teams.
• Excellent communication and stakeholder management skills.

Job Responsibilities

• Design, develop and deploy machine learning solutions and services
• Implement end-to-end machine learning pipelines from data ingestion to training and model serving
• Operationalize LLMs, embeddings, and multi-agent systems in real-world applications
• Manage the machine learning and model lifecycle (experimentation, registry, deployment)
• Oversee the model promotion lifecycle, coordinating validation gates and approval workflows to safely deploy new model versions from stating to production
• Containerize applications using Docker and orchestrate them via Kubernetes
• Build and maintain CI/CD pipelines for ML models and LLM applications
• Collaborate with data scientists to refactor research code into production-ready Python code
• Monitor model performance, data drift, and performance in production
• Assess and integrate AI solutions ensuring optimal performance and reliability
• Design and implement production grade RAG systems
• Collaborate with infrastructure teams, data engineers, data scientists, and other stakeholders to integrate machine learning solutions into existing systems and processes
• Participate in code reviews, testing, and debugging to ensure the quality and reliability of machine learning solutions

SKILLS REQUIREMENTS OF THEPOSITION

Competencies

• Strong problem-solving and analytical skills, with the ability to think critically and creatively about complex challenges
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders at all levels of the organization
• Ability to manage personal workloads effectively, to prioritize tasks, manage timelines, and deliver high-quality results on schedule
• Continuous learning mindset, with a passion for staying up to date with the latest advancements in machine learning and artificial intelligence
• Attention to detail and commitment to producing high-quality, reliable, and maintainable code

Education and skills requirements

• Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field
• Advanced proficiency in Python programming with a focus on writing clean, testable and efficient code
• DevOps & Containers: Proficient with Docker for containerization and working knowledge of Kubernetes (k8s) for orchestration
• Practical understanding of GPU architecture and cloud compute instances to optimize resource allocation for training and inference workloads
• MLOPS tools: hands on experience with MLflow (or similar tools like weights & biases) for experiment tracking and model registry
• Proven experience working with Large Language Models (LLMs)
• Good understanding of AI agents & agentic workflows, LLM orchestration frameworks and reasoning patterns
• Experience with data preprocessing, feature engineering, and model selection and evaluation techniques
• Hands-on experience with CI/CD pipelines (GitLab, Jenkins)
• Knowledge of statistical and mathematical concepts relevant to machine learning, such as probability, linear algebra, and optimization
• Excellent problem-solving and debugging skills, with the ability to identify and resolve issues quickly and effectively
• Relevant work experience in machine learning, data science or a related field

Job Description

Key Responsibilities

• Develop and execute complex projects that have a substantial mix of electrical, mechanical, physics, algorithms and software design; attend design reviews and provide input to meet market requirement specifications (MRS) and hardware/software specifications. Ensure designs meet market requirement specifications (MRS). Coordinate with project marketing and management to understand system requirements. Be able to chair architecture brainstorming meetings and drive the systems process to down select to a final architecture of a top-level system.

• Participate in the design, development, and testing of radio-frequency components for semiconductor equipment, which includes high-power generators (up to 6 kW or more), matching networks, filters, or other tuning elements, with frequencies ranging from 300 kHz to 60 MHz.

• Write detailed specifications that cover all aspects of subsystem modules including interfaces to the product by using systems analysis to create a diagram. Create concepts for complex architectural design approaches.  Lead team evaluations of architectures to provide recommendation for best system solution approach.

• Ability to fabricate or modify RF components to change their performance or enable access for instrumentation.

• Ability to instrument, characterize and troubleshoot RF sub-systems within larger semiconductor tool environment.

• Problem identification and troubleshooting a wide range of difficult, complex engineering problems in field of technical expertise, including serviceability and manufacturability.

• Support System Integration during the assembly and final testing of new product designs.

• Interface with other groups to workout design, systems architecture development and integration issues.

• Define all equipment interfaces and systems architecture and ensure they are up to date and documented.

• Work with vendors to develop design requirements and ensure delivery of parts that meet specifications.

Requirements

• PhD/ Master/ Bachelor’s degree in Electrical or Mechanical Engineering with few years of relevant RF experiences

• Understand principles and operation of network analyzers, oscilloscopes, power meters, directional couplers, and other radio-frequency test equipment

• Knowledge of circuit theory and ability to develop analytical models of RF components

• Problem-solving and troubleshooting skills

• Excellent verbal and written communication skills and the ability to interact professionally with a diverse group of internal and external stakeholders

• Self-starting individual, proactive and resourceful

Work Location

• One North

Role Overview

We are seeking a Backend Engineer to design and build scalable, high-performance systems. You will work on core infrastructure, APIs, and distributed services that power critical business functions.

Key Responsibilities

• Design, develop, and maintain backend services using Go or Java
• Build scalable, low-latency, and high-availability systems
• Develop and optimize RESTful / gRPC APIs
• Work with distributed systems, messaging queues, and databases
• Collaborate with product, frontend, and infrastructure teams
• Monitor system performance and troubleshoot production issues

Requirements

• 2–5+ years of backend development experience
• Strong proficiency in Go or Java
• Experience with distributed systems, microservices architecture
• Familiarity with databases (MySQL, PostgreSQL, Redis, etc.)
• Understanding of system design, concurrency, and performance optimization
• Experience with cloud platforms (AWS/GCP/Azure) is a plus

Responsibilities

Product & Business Partnership  

• Co-own problem discovery with Product/Business: translate objectives into well defined, testable problem statements, user journeys, and technical hypotheses.  
• Challenge assumptions and requirements using user insights, data realities, feasibility constraints, and system impact; recommend alternatives when they better achieve outcomes.  
• Define and track success metrics (e.g., adoption, time saved, conversion, accuracy/quality, latency, reliability, cost-to-serve, risk reduction) and drive iteration when targets aren’t met.  
• Communicate clearly with executive, business, and engineering audiences - articulating trade-offs, decisions, and rationale.  

Solution Leadership  

• Lead end-to-end solution for GenAI products: APIs, services, data pipelines, orchestration, LLM integration, retrieval, tool-calling, and UI/UX touchpoints as needed.  
• Make disciplined architectural trade-offs across performance reliability, cost, extensibility, maintainability, and time-to-value.  
• Design for enterprise realities: identity/access, data residency, compliance constraints, multi-environment deployments, and integration with core systems.  
• Drive platform thinking: prioritize reusable components (libraries, templates, shared services) over one-off builds.  

Agentic & Full-Stack GenAI Applications 

• Build and scale agentic GenAI applications that solve multi-step workflows on cloud platforms such as AWS and Azure.  
• Define and implement robust LLM patterns (prompting, RAG, tool orchestration, validation, and evaluation).  
• Implement LLMOps and lifecycle governance for models and prompts, including versioning, evaluation and monitoring.  
• Ensure solutions meet enterprise standards for quality, reliability, latency, and cost.  
• Embed Responsible AI, security, and compliance by design, partnering with Risk, Legal, and Security.  

Engineering Excellence & DevOps  

• Provide hands-on leadership across the SDLC: design reviews, coding standards, testing strategy, code reviews, security reviews, and operational readiness.  
• Establish robust CI/CD and standardized environments for services and AI components utilizing cloud services.  
• Ensure operational excellence through observability, incident management, reliability practices, and cost optimization.

Required Knowledge:

• Proven track record in designing and building GenAI solutions, with a strong expertise in prompt engineering, LlamaIndex, Langchain, RAG, Agentic AI workflow,
• Knowledge graph, AI red teaming libraries, LLM monitoring and evaluation.  
• Over 7+ years of experience in the software development lifecycle as a developer, with a focus on writing production code.  
• Must have hands-on experience working with software development toolkits, and devOps automation like Kubernetes, Airflow, Jenkins, Jira, Confluence and Git.  
• Excellent programming skills in Python and proficiency in PySpark.  
• Experience in DataBricks, AWS bedrock, Microsoft Copilot Studio and Azure ML.  
• Strong leadership skill with ability to influence the thought process and drive alignment.  
• Excellent communication skills and a demonstrated ability to collaborate effectively with cross-functional teams.  
• Self-motivated and highly driven individual who can thrive in ambiguous requirements.

Location:  Singapore (with 6 months on-job training inSuzhou, China) 

Employment Type:  Full-time, Permanent

 ProgramOverview

We are offering a unique opportunity forfresh graduates to kick-start their careers in a dynamic, high-technologyenvironment. Selected candidates will undergo a structured 6-month on-jobtraining at our state-of-the-art facility in Suzhou, China, where you will gainhands-on experience in cutting-edge analytical techniques, laboratoryoperations, and customer project management. Upon successful completion of thetraining, you will return to our Singapore site to contribute directly to ourlocal operations and grow with a global team.

Key Responsibilities

- Participate in a comprehensive trainingprogram covering advanced failure analysis, materials characterization, andsemiconductor testing methodologies.

- Operate and maintain sophisticatedanalytical instruments under the guidance of experienced mentors.

- Support engineering teams introubleshooting, data analysis, and report preparation.

- Collaborate with cross-functional teamsto deliver high-quality technical services to customers.

- Upon return to Singapore, apply acquiredskills to support local projects and contribute to continuous improvementinitiatives.

Requirements

- Fresh graduate or recent graduate with aDiploma or Bachelor/Master/PhD Degree in Engineering (preferably Mechanical,Electrical, Electronics, Materials, or a related discipline).

- Strong interest in the semiconductor andhigh-tech manufacturing sectors.

- Willingness to relocate to Suzhou, Chinafor 6 months of intensive on-job training.

- Adaptable, self-motivated, and eager tolearn in a fast-paced environment.

- Good communication and teamwork skills.

- Proficiency in English is required; basicMandarin is an advantage for integration during the training period.

What We Offer

- A structured training program designed tobuild deep technical expertise and industry knowledge.

- Opportunities to work with leading-edgetechnologies and global industry experts.

- Competitive remuneration and benefitspackage.

- A clear career development pathway withina growing international organization.

- Support for work pass applications andrelocation arrangements for the training period.

Job Summary

Our Company is working closely with a Prestigious Public Listed organisation in Singapore. Due to our dynamic expansion in projects, we are looking for Systems Engineers to be part of the project team, who is able to maintain, upgrade and manage server system hardware and networks and in-house development environment software applications.

Responsibilities

• Install and configure software and hardware to ensure optimal system performance and reliability
• Manage network devices and technology tools to support seamless connectivity and operations
• Analyze and understand overall system network architecture to support infrastructure planning and troubleshooting
• Monitor system performance and maintain systems according to operational requirements and standards
• Troubleshoot technical issues and outages promptly to minimize downtime and impact on users
• Implement and maintain security measures including access controls, backups, and firewalls to protect system integrity
• Upgrade systems with new releases and models to enhance functionality and security
• Generate and maintain comprehensive technical documentation, manuals, and IT policies to support knowledge sharing and compliance

Required competencies and certifications

• Proven experience as a System Engineer, System Administrator, Network Administrator, or similar role
• Experience and knowledge in VMware and SAN technologies
• Proficiency with databases, networks (LAN, WAN), and patch management processes
• Knowledge of system security practices including intrusion detection systems, OS hardening, and data backup/recovery
• Familiarity with various operating systems and platforms, with preference for MS Windows and Red Hat
• Demonstrated resourcefulness and problem-solving aptitude in diagnosing and resolving technical issues

Preferred competencies and qualifications

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

About the Role

Join us as a DevOps Engineer / Technology Architect (Puppet), where you’ll work on infrastructure automation, Puppet‑based configuration management, and enterprise DevOps solutions across large‑scale environments.

What You’ll Gain

✔ Hands‑on Puppet Enterprise / Puppet Open Source work
✔ Experience building automated, reliable infrastructure solutions
✔ Collaboration with architects, engineers, and enterprise clients
✔ Opportunities to contribute to open‑source and DevOps tooling
✔ Exposure to modern automation and infrastructure standards

Responsibilities

• Design and implement solutions that improve software delivery using Puppet
• Deliver Puppet training sessions and workshops
• Work with education teams to maintain training content
• Support Sales/Marketing with pre‑sales technical input
• Develop and maintain Puppet modules and related tools
• Build integrations and automation around Puppet
• Contribute to technical blogs and documentation

Minimum Qualification

Diploma or Degree in:

• Computer Science
• Information Technology
• Software Engineering
• Computer Engineering

Related Fields Accepted:
Electronics & Communication Engineering, Electrical Engineering (with IT/Systems focus), Cybersecurity, Information Security, Network Engineering, Telecommunications

Must‑Have Skills

• Strong experience with Puppet Enterprise or Puppet Open Source (Puppet 4+)

Good‑to‑Have Skills

• DevOps Architecture
• Automation (strong)
• Network Infrastructure (strong)
• Systems Administration (strong)

Requirements

• Solid hands‑on Puppet experience (Enterprise or OSS, Puppet 4+)
• 5+ years in DevOps, Systems Admin, Automation, or Network Infrastructure
• Strong Unix/Linux background with automation expertise
• Confident customer‑facing and presentation skills
• Experience interacting with clients and internal stakeholders
• Strong analytical and problem‑solving abilities
• Passion for Puppet and open‑source ecosystems
• Technical degree or equivalent practical experience
• Ability to travel up to 10% domestically

Preferred (Nice to Have)

• Programming: Ruby, Python, Go
• Windows administration (incl. PowerShell)
• Experience with large‑scale infrastructure
• Knowledge of data centers, networking, security, monitoring
• Professional services background (enterprise/open‑source)
• Puppet Certification

Design, integrate, install, operate, and maintain mechanical systems for plasma processing,

water treatment, and custom-built industrial equipment. Strong hands-on involvement

required.

Responsibilities:

• Design systems for plasma equipment, water treatment, and custom machinery

• Prepare drawings using AutoCAD (ACAD)

• Select materials suitable for high temperature, corrosion, and pressure

• Coordinate with external vendors for fabrication and ensure design compliance

• Support system integration with electrical and process components

• Perform hands-on installation, commissioning, testing, troubleshooting, and

operation

• Support production and daily operation of systems and equipment

• Optimize system performance, efficiency, and reliability

• Develop maintenance procedures and ensure equipment uptime

• Support R&D, prototyping, and system scale-up

• Prepare basic technical documentation (drawings, SOPs, reports)

Requirements

• Degree in Mechanical Engineering or related field

• Knowledge of fluid systems, heat transfer, and mechanical design

• Proficient in AutoCAD (ACAD)

• Hands-on, practical, and able to work in workshop and production environment

• Willing to travel and work on-site as required (local and overseas)

Advantage

• Experience in plasma systems, water treatment, or industrial equipment

• Knowledge of pumps, gas flow, or vacuum systems