Total 253 technology development job vacancies in Engineering category in Singapore

About us:

Cyrus Technology started in 2005 with the vision to approach polymeric tooling design in unconventional methods and providing manufacturing solutions to exacting specifications for ultra-precision and complex moulding. We pride ourselves as a valued partner to our clients, offering expertise at every stage of the product design to manufacturing, to transform market opportunity ideas to a marketable product. With the progress we achieved so far, we aim to continue to push boundaries and overcome constraints to be a leader in the industry.

Your key responsibilities are as follows:

• To develop, document and support the build of high precision plastic injection tooling and molded parts for manufacturing.
• Support Program team during upfront new project quotation stage by providing accurate upfront tooling/product DFM that matches the right quality requirements.
• To meet customer for DFM and mold concept review to ensure customer’s technical requirements and concerns are addressed.
• Support Tooling Department by conducting internal tooling design and DFM reviews before tool launch.
• Support Production in areas like molding process optimization, implement manufacturing fixtures and automation for reliability and efficiency improvements.
• Support Quality Team in the design and fabrication of test/measurement fixtures.
• To coordinate mold trials, tooling and molded part troubleshooting and carry out necessary engineering changes to ensure parts can be produced smoothly with the required quality.

Your areas of knowledge and expertise that matter most for this role:

• Excellent technical analytical ability with strong interest for problem solving.
• Self-motivated team player with good interpersonal and communication skills.
• Past working experience or knowledge of Precision Tooling Design/Fabrication, Micro Plastic Injection Molding Process or Manufacturing Process Engineering related field preferred.
• 3D CAD software skill for Siemens UG NX or PTC Creo 4.0 and above

About us:

Cyrus Technology started in 2005 with the vision to approach polymeric tooling design in unconventional methods and providing manufacturing solutions to exacting specifications for ultra-precision and complex moulding. We pride ourselves as a valued partner to our clients, offering expertise at every stage of the product design to manufacturing, to transform market opportunity ideas to a marketable product. With the progress we achieved so far, we aim to continue to push boundaries and overcome constraints to be a leader in the industry.

About the Job:

The Tooling Department plays one of the most critical roles in Cyrus. You will be joining a dynamic team managing and working closely with the Tooling Manager, to solve technical issues and managing the fabrication and repair process of moulds. You will also be involved in the day-to-day operations of the toolroom which includes documentation, planning and scheduling, and reporting to deliver on our projects.

Your key responsibilities are as follows:

- Coordinate and prioritise the projects and workload of the department, to ensure projects are fabricated accurately according to time schedules

- Diagnose machine and tooling equipment malfunctions, as well as to expedite and coordinate repairs or replacement to avoid excessive downtime

- Coach and support the development of the team, and provide guidance in solving toolmaking issues

- Coordinate inspection and quality control activities to meet Health and Safety requirements, and to ensure the toolroom remains operational and efficient to meet project requirements

- Maintain all critical documentation needed for the toolroom operations, and provide oversight and advice to Tooling Manager on machine acquisition, replacement and equipment repairs

- Collaborate and work closely with external vendors to obtain competitive quotes and timely delivery of purchased parts with required workmanship

- Contribute actively to continuously improve the tool room efficiency and standards

Your areas of knowledge and expertise that matter most for this role:

· Higher Nitec, Diploma or Degree in precision engineering/mechanical engineering is necessary

· Basic understanding of mould fabrication is required

· Proficient in Microsoft Office suite of programs

· Class 3 driving license is an added advantage

· Good written and verbal communication and presentation skills

· Strong organisational skills with a can-do attitude to learn and initiate new ways of working to achieve results

· Good collaboration skills to work as a team and across teams, to problem solve to achieve desired results

· Good leadership skills to supervise and maintain strong bonds within the team

Responsibility:

• Performed on site machine installation, repairing, servicing and maintenance.
• Coordinate with contractors, consultants, and other trades
• Attend site meetings and resolve technical issues
• Ensure all works meet safety and quality requirements
• Diagnose electrical faults and implement solutions
• Maintain records of testing, inspections, and maintenance
• Ensure timely project completion
• Perform stand-by duty, able to work OT and shift.

Requirements:

• ITE / Diploma in Electrical Engineering.
• Possess good interpersonal skills and great communication skills
• Good and positive working behaviour
• The prospective applicant will be required to work in North side.
• Having General IT experience will be preferred.

Responsibility:

• Performed on-site machine installation, repairing, servicing and maintenance.
• Ensure all jobs are properly coordinated and completed within the allocated time frame.
• Responsible for providing timely, professional and accurate information to customer’s technical service enquires at all times.
• To liaise with principal on unresolved technical problems, and ensure proper record are maintained.
• Data collection and compilation on site.
• Perform stand-by duty, able to work OT and shift.

Requirements:

• ITE / Diploma in Electrical/Mechanical/Mechatronic Engineering.
• Possess good interpersonal skills and great communication skills.
• Good and positive working behaviour.

Role: Security Engineer

About the Company
A MAS-regulated digital payments provider offering digital asset and cross-border payment solutions.

Operates an end-to-end platform that enables businesses to securely and compliantly enter and scale in the digital asset space, covering services such as OTC trading, fiat payments, custody, and prime brokerage.

Overview
Seeking a hands-on Security Engineer to strengthen identity security, endpoint/mobile baselining, DevSecOps, detection & response, and compliance readiness.

You’ll work closely with Engineering, Infra, and Tech Ops to reduce risk, automate security controls, and improve detection and response capabilities.

Key Responsibilities

Identity & Social Engineering Risk

• Implement controls to reduce phishing, MFA fatigue, impersonation, and BEC risks
• Manage SSO (SAML/OIDC), MFA, and conditional access policies
• Improve identity risk posture and security awareness

Endpoint & MDM Security

• Define and enforce device security baselines (Windows, macOS, iOS, Android, Linux)
• Implement compliance checks, encryption, patching, and device posture controls
• Monitor and remediate configuration drift

DevSecOps & Application Security

• Embed security into CI/CD (SAST, DAST, SCA, IaC scanning, policy-as-code)
• Define secure SDLC practices (threat modelling, security gates, SLAs)
• Reduce vulnerabilities and improve remediation timelines

Secrets Management

• Implement centralized secrets management (e.g. Vault)
• Enforce no hard-coded credentials and automate secret rotation
• Detect and prevent credential leakage

Detection Engineering & Threat Hunting

• Build detections aligned to MITRE ATT&CK
• Improve telemetry coverage across endpoint, identity, cloud, and pipelines
• Reduce false positives and close visibility gaps

Purple Teaming & Security Testing

• Participate in adversary simulations and purple team exercises
• Translate findings into improved controls, detections, and automation

Automation & Incident Response

• Develop SOAR playbooks and automated runbooks
• Improve MTTD/MTTR and reduce manual effort
• Support incident response and investigation

Compliance & Security Controls

• Implement controls aligned with MAS TRM and CIS benchmarks
• Build compliance-as-code and continuous monitoring
• Support SOC 2 / PCI-DSS readiness and audits

Requirements

• 5–10 years in Security Engineering / DevSecOps / AppSec / Detection Engineering
• Strong experience with SSO (SAML/OIDC), MFA, and identity policies
• Hands-on DevSecOps tools (SAST, DAST, SCA, IaC scanning)
• Experience with secrets management and credential security
• Familiar with MITRE ATT&CK and detection engineering
• Experience building automation (SOAR, scripting, APIs)
• Knowledge of CIS benchmarks and security baselines
• Strong stakeholder management and collaboration skills

Nice-to-Have

• SOC 2 / PCI-DSS experience
• Cloud security (AWS/GCP/OCI)
• SIEM/EDR tools (e.g. CrowdStrike)
• Kubernetes/container security
• Certifications (CISSP, CCSP, GIAC, OSCP)

ASTEK has been providing IT and Engineering solutions for some of the world’s largest industrial and services groups for more than 35 years with 10,000 passionate experts in 22 countries throughout Europe, APAC, Middle East and the Americas

Currently, we are looking for Full Stack Engineer which would be based in Singapore

Responsibilities and requirements:

● Bachelor's degree with experience in build and enhance web dashboards and user interfaces using TypeScript + React.js.

● Develop backend APIs, services and internal tools using TypeScript (Node.js).

● Collaborate closely with Tech Lead to execute plans and technical direction for the platform.

● Take ownership of features — design, build, test, deploy and maintain.

● Participate actively in code reviews, system discussions and engineering best practices.

● Ensure product performance, scalability and reliability at scale.

● Contribute to AWS deployment workflows, CI/CD and infrastructure improvements.

● Strong experience with React + TypeScript, especially for production-scale dashboards.

● Solid backend development experience using Node.js (TypeScript).

● Hands-on experience with AWS deployments and cloud-native architecture.

● Familiar with CI/CD pipelines, environments, and infrastructure as code (Terraform experience is a plus).

● Understanding of scalable architecture, performance optimisation and secure coding practices.

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.

Responsibilities:-

-Conduct QAQC daily checks
-Prepare monthly QAQC report for submission to Corporate QAQC Department
-Conducting monthly QAQC Training to Sub-contractors
-Issuance of QAQC Non-compliance to sub-contractors
-Attend monthly QAQC presentation and meeting at Corporate QAQC Department
-Conduct regular inspections to ensure works are in compliance with method statements (in accordance to BCA’s Good Industry Practice & approval from the clients and consultants)
-Arrange and liaise with BCA for CONQUAS/QM assessments. Act as the primary quality liaison with clients and consultants, updating them on QA/QC matters and addressing quality concerns directly related to CONQUAS scoring.
-Work closely with site engineers and supervisors to ensure construction methods comply with CONQUAS specifications, providing guidance on quality protocols and rectifications or even conducting relevant training as needed.

Job Requirements:

-Architectural-trained or Structural-trained work experience
-Min 3 years experience as a QAQC Engineer in A1 building main construction company, with added experience in managing Quality Marks assessment processes or certifications a significant advantage
-Able to communicate effectively and clearly
-Able to work independently, be meticulous, analytical with excellent problem-solving skills, proactive & able to meet tight deadlines
-Good knowledge of construction quality control/assurance is necessary
-Certifications: BCA-Approved CONQUAS training or relevant quality certification such as ISO 9001:2015 in Quality Management Systems.

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