Total 2,336 electronic engineer job vacancies in Information Technology category

JOB OVERVIEW:

The Data Scientist (AI Engineer) serves as the critical technical bridge between high-level business strategy and scalable AI production. This role is dedicated to accelerating demand creation by translating complex client challenges into feasible, high-impact AI/ML prototypes and Proof of Concepts (PoCs). By balancing technical rigor with strategic communication, the incumbent assesses data maturity, designs agile solutions using both traditional and Generative AI, and ensures that all innovations are architecturally sound and ready for production handover. Ultimately, this role drives organizational growth by de-risking AI investments and demonstrating the tangible technical value of emerging technologies.

DUTIES AND RESPONSIBILITIES:

Technical Requirements Elicitation & Analysis:

● Collaborate with AI/ML Business Analysts and clients to deeply understand their existing technical landscape, data infrastructure, and specific operational challenges.

● Translate high-level business needs into technical requirements for AI/ML solutions, identifying necessary data inputs, system integrations, and potential technical constraints.

● Assess the technical feasibility of proposed AI/ML use cases, ensuring alignment with the organization’s vetted tech stack and TRL standards, given the client's current data capabilities and technology stack. AI/ML Solution Conceptualization & Prototyping:

● Design and develop rapid, interactive prototypes or proof-of-concepts (PoCs) using appropriate AI/ML techniques (both traditional ML and cutting-edge AI like Generative AI).

● Demonstrate the functionality and potential business impact of AI/ML solutions through compelling technical demonstrations and visualizations.

● Iterate rapidly on prototypes based on client feedback, showcasing agility and responsiveness.

Technical Communication & Value Articulation:

● Simplify complex AI/ML concepts, algorithms, and technical architectures into understandable terms for non-technical business stakeholders. ● Clearly articulate the technical value proposition of proposed solutions, explaining how the AI/ML will work and why it is the right approach for the client's problem.

● Present technical findings, prototype results, and architectural considerations to clients and internal teams.

Organizational Data Capability Assessment (Technical):

● Conduct technical assessments of client data maturity, including data quality, accessibility, governance, and existing infrastructure.

● Advise clients on technical prerequisites and potential roadmaps for enhancing their data capabilities to support AI/ML initiatives.

Emerging Technology Research & Application:

● Actively research and evaluate new AI/ML technologies, tools, and frameworks (e.g., specific algorithms, cloud AI services, MLOps tools) relevant to demand creation and prototyping.

● Support the AI Solution Enablement Lead by exploring specific application-layer use cases for technologies already on the internal Tech Radar. Provide field feedback on the performance of vetted tools in client prototypes

● Identify how emerging technical capabilities can be applied to solve client problems and create new service offerings.

● Contribute technical insights to market exploration and strategic planning.

Cross-Functional Collaboration & Handover:

● Work in close partnership with the Data Science / AI Production Team from the earliest stages to ensure that prototyped solutions are designed with production scalability and maintainability in mind.

● Collaborate primarily with the AI Solution Enablement Lead to transition validated TRL 3 prototypes into the hardening phase. Ensure all initial technical elicitation is documented according to Enablement Quality Gate standards to prevent technical debt during handover

● Facilitate smooth technical handovers of validated concepts, prototypes, and initial architectural considerations to the production team, minimizing rework and ensuring continuity.

● Provide technical context and support during the transition phase to ensure the production team has a comprehensive understanding of the solution's intent and design.

● Problem Solving & Innovation:

● Apply strong analytical and problem-solving skills to technical challenges encountered during the demand creation and prototyping phases.

● Propose innovative technical approaches to address client needs and differentiate our solutions.

QUALIFICATIONS AND EXPERIENCES:

● Minimum Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field. Master's or Ph.D. preferred.

● At least 5+ years of progressive experience in AI/ML solution design, data science, or AI engineering, with a significant portion in a client-facing or consulting capacity.

● Proven experience in designing, developing, and deploying functional AI/ML prototypes that demonstrate business value and are engineered for production.

● Expert proficiency in Python and extensive experience with core AI/ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).

● Demonstrated hands-on experience with Generative AI and Large Language Models (LLMs), including frameworks like LangChain, for designing and prototyping novel applications.

● Strong practical experience with Google Cloud Platform (GCP) services relevant to AI/ML (e.g., Vertex AI, BigQuery, Cloud Storage, Dataflow, Cloud Functions).

● Proficiency with Docker for containerization and a foundational understanding of container orchestration (e.g., Kubernetes concepts for GKE).

● Solid understanding of MLOps principles for reproducibility, experiment tracking (e.g., MLflow, Vertex AI ML Metadata/Model Registry), and model versioning.

● High-level expertise in data governance frameworks, data quality assessment (including tools/libraries like Great Expectations), metadata management (e.g., Google Cloud Data Catalog), and data architecture principles.

● Strong expertise in distributed computing and parallel processing techniques is vital for handling large-scale AI workloads.

● A proven track record of innovations and executions in deep learning, demonstrated through shipping products or first-author publications at leading AI conferences, is a strong differentiator.

● Experience in the container shipping industry or related logistics/supply chain domains is highly advantageous.

● Excellent presentation, documentation, and stakeholder management skills.

Working hours:

Mon to Fri, 8:30am to 5:30pm

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorganChase within the Cybersecurity & Tech Controls, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. You will design, develop, test, and implement secure software components that protect the firm’s blockchain / distributed-ledger capabilities. As a core technical contributor, you are responsible for engineering critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. You will work within an engineering team, partnering closely with Architecture, Cybersecurity, Risk, and product/operations stakeholders in a hands-on environment with multiple, varied stakeholders.

Job responsibilities

• Design, develop, test, and deploy security monitoring controls, with a focus on block chain security

• Build and maintain modern tooling using API-first design, microservices and/or event-driven patterns, with strong non-functional focus (resilience, performance, scalability).

• Engineer and operate CI/CD pipelines with automated testing and security guardrails (code quality checks, dependency scanning, secrets scanning, policy gates).

• Define and execute secure SDLC practices including threat modeling, secure code review, vulnerability remediation, and secure configuration standards.

• Collaborate with cross-functional stakeholders to ensure timely, accurate integration of blockchain-related security telemetry and operational requirements.

• Provide technical leadership and mentorship through design reviews, code reviews, and engineering best-practice adoption across squads.

• Support production reliability through operational readiness, incident triage/root cause analysis, and continuous improvement.

• Perform technical evaluation during proof-of-concept / vendor assessments, providing SME input into architecture and product decisions.

Required qualifications, capabilities, and skills

• Bachelor’s Degree in Computer Science, Cybersecurity, Data Science, or related disciplines

• 5+ years of experience engineering a security analytics platform (Splunk or equivalent), within a large-scale or global enterprise.

• Command of a programming/scripting language for automation and integration tasks.

• Expert understanding of data management concepts in the context of a security analytics platform, including; ingestion, parsing and normalization.

• Strong analytical and problem solving mindset with the ability to solve complex challenges.

• Experience working in an Agile team environment, working with at least one of the common Agile frameworks.

• General understanding of organizational Cybersecurity practices, risk management, security architecture, and engineering.

• General understanding of national and international laws, regulations, policies and ethics related to financial industry cybersecurity

To apply for this position, please use the following URL:

https://ars2.equest.com/?response_id=6605e5a8a763c86b0e72e292d8b69705

We are lookig for an Application Engineer to join our technical execution and bridge the gap between sales and delivery. In this role, you will not only learn to design and implement cutting-edge Energy Management (EMS) and Power Quality (PQM) systems but also transform project workflows into streamlined, high-quality engineering outputs.

You will report to the Director of Engineering and play a critical role in digitalising our project delivery process.

Key Responsibilities:

The Application Engineer is responsible for delivering projects and liaising with clients to deliver customised solutions.

• Project planning, coordination, and execution.

• Design and integration of automation systems according to project requirements.

• Graphical design of the electrical network.

• Plan installation schedule with client and installer.

• Testing and commissioning of systems.

• Preparation of project documents and drawings.

• Offsite/onsite Maintenance Contract support.

Candidates should be able to work independently and as team players on simultaneous projects with compressed timelines. Candidates should also expect limited travel to interface with customers and attend or exhibit at conferences and trade shows.

Requirements:

• A candidate with a minimum & relevant engineering certification e.g. Degree, in the Engineering field (Electrical or Power and automation) is preferable.

• Experience/knowledge in HVAC, SCADA, PLC, and HMI in a Building Management System, Power Quality Management System, or Energy Management System.

• Knowledge of data communication and automation systems for electrical networks.

• Knowledge and experience in IT networking and server/VM setup are an added advantage.

• Knowledge and experience in Power Quality Meter and Power Quality Monitoring Systems is a plus.

• Required skill(s): Microsoft Office, Savvy in various computer skills such as computer networking, setting up new PC/VMs, and knowledge of electrical systems.

• Mature and able to handle tasks independently, result-oriented, and self-driven team player with good communication skills.

• Good personality, responsible, hardworking person.

• Fast learner and good soft skills.

• Ability to work as a team, lead and supervise the contractors.

• Experience in people and team management in administrative and functional aspects.

• Process excellent team spirit and good leadership.

• Fresh grade are welcome to apply the position.

• 1 Full-Time position(s) available.

• Salary will be commensurate based on experience

What We Offer:

• Competitive salary and benefits package.

• Opportunity to work on cutting-edge technology projects.

• Collaborative and innovative work environment.

• Professional development and growth opportunities.

Join the forefront of open-source health data innovation as a software engineer for the Data2Evidence platform.

We are seeking a passionate and skilled software engineer to contribute to the Data2Evidence (D2E) platform (https://github.com/OHDSI/Data2Evidence), an open source, end-to-end solution for the management and analysis of health data. This is an exciting opportunity to work with the Observational Health Data Sciences and Informatics (OHDSI) community and contribute to a platform that is transforming how researchers globally access and utilize health data for evidence generation.

The D2E platform is built on the OMOP Common Data Model (CDM), providing an integrated environment for data ingestion, quality control, cohort building, and analysis. As a software engineer, you will play a crucial role in enhancing the platform's capabilities, improving user experience, and driving its adoption within the research community.

KEY RESPONSIBILITIES

• Full-Stack Development: Design, develop, and maintain features across the entire D2E platform, including the front-end user interface, back-end services, and/or data processing pipelines.
• Open-Source Collaboration: Actively participate in the OHDSI open-source community. This includes reviewing code, addressing issues, and collaborating with developers and researchers outside of Data4Life.
• Upstream Contributions: Actively contribute to the development of other third-party open-source projects and libraries that are integrated into and utilized by the Data2Evidence platform.
• Technical Innovation: Contribute to the architectural evolution of the platform, incorporating new technologies and methodologies to enhance its scalability, performance, and usability.
• User Enablement: Drive user success through robust testing, clear documentation and direct community support.

REQUIRED SKILLS AND QUALIFICATIONS

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
• Proven experience in full-stack development.
• Proficiency in TypeScript.
• Strong understanding of modern web frameworks like React or Vue.
• Experience with back-end development.
• Familiarity with containerization technologies such as Docker and package management with npm.
• A solid grasp of relational databases and SQL.
• Excellent problem-solving skills and the ability to work independently.
• Strong communication and interpersonal skills, with a passion for collaboration and open-source development.
• Fluency in English.
• A minimum of 2 years work experience is preferred, but fresh graduates are also encouraged to apply.

PREFERRED QUALIFICATIONS

• Experience with the OMOP Common Data Model and OHDSI tools (e.g., ATLAS).
• Knowledge of healthcare data standards (e.g., HL7, FHIR) and medical terminologies (e.g., SNOMED, LOINC, RxNorm).
• Familiarity with data warehousing and ETL processes.
• Contributions to other open-source projects.
• Experience working in an agile development environment.

GOOD TO KNOW

• For faster application processing, please submit your application directly to our jobs portal - https://employmenthero.com/sg/jobs/position/d4l-data4life-asia-limited-senior-software-engineer-data2evidence-olheh/
• This role requires regular on-site work in our Singapore office.
• Applicants should currently be based in Singapore.

WHY YOU WILL LOVE WORKING WITH US

• Actively contribute to developing digital health solutions with a direct impact on the health and quality of life of others
• Nonprofit work with a purpose: With us, you will find a fulfilling and meaningful task in a nonprofit environment that will advance our society
• A diverse team of professionals from various countries working together from 3 locations (Potsdam, Berlin and Singapore)
• Subsidized gym membership to encourage a healthy lifestyle
• A generous education budget for courses, books, conferences, and your professional development
• Real Work-Life-Balance with flexible working hours and various work models
• Subsidised home broadband to support work from home
• A first-class corporate health insurance that includes dental coverage
• Potential contribution to the global conferences as a presenter and plenty of participation opportunities.
• Subsidised annual check-up, to encourage regular health screening
• Regular knowledge transfer through “all hands”, “town halls” and “Knowledge4Life” events
• Several employee driven initiatives, every new colleague is welcome to participate in (for example the “Climate initiative”)
• An extensive and detailed on-boarding program to make your start at Data4Life as efficient and smooth as possible

ABOUT US

Data4Life (D4L data4life gGmbH) is a nonprofit health technology organization headquartered at the Hasso-Plattner-Institut in Potsdam, Germany. Founded in 2017 and funded by the Hasso Plattner Foundation, D4L’s vision is to make the world a healthier place.

Our flagship platform, Data2Evidence (D2E), is an open-source real-world data (RWD) analytics environment. D2E bridges standardized health data and cutting-edge research to enable researchers and healthcare organizations to explore, query, and extract insights from large observational datasets. It is built on the OHDSI framework and the OMOP Common Data Model.

With an international team, we work together on the mission to digitalize health research. By linking technology and research, we make health data available to research in a comprehensive, digital, and secure way. Our interdisciplinary team in Potsdam, Berlin, and Singapore brings together experts from fields such as product development, digital engineering, data security, and science. The Singapore engineering team is central to D2E platform development and institutional delivery.

We care about diversity. Many different lives, careers, and development paths lead to Data4Life. We welcome experts from a wide range of backgrounds and experiences to our international team, offering everyone equal opportunities to be themselves and develop to the best of their abilities. Diversity, equality, and inclusion are not just nice words at Data4Life – we put them into practice in all of our activities and projects, striving to incorporate them into our everyday work. For this reason, we signed the Charta der Vielfalt (Diversity Charter) in 2022.

Responsibilities:

• Collaborate with data scientists, coders, programmers and other stakeholders
• Creating and managing the AI development process and general infrastructure of a product
• Doing statistical analysis and interpreting findings
• Automating critical tasks and procedures for a data science team
• Creating data transformation infrastructure
• Developing AI models communicating the utility of the AI models they generate to a diverse range of employees inside the organisation, including product managers and management executives
• Exposing machine learning models via APIs with which other apps may interact
• Work on API and integrate systems.

Requirements:

• Master / Bachelor's degree in computer science, computer engineering, or relevant field.
• A minimum of 4+ years' experience in a similar role.
• Strong knowledge of Datawarehouse / database / Cloud systems and data mining would be preferred.
• Excellent organizational and analytical abilities.

Job Description:

* Design, develop, create, testing and maintain data pipeline ETL solutions to meet business, technical, user requirements.

* Collect and refine new data set. Maintain comprehensive documentation and data mapping across multiple systems.

* This role will involve creating scalable and optimized data models, ensuring they are aligned with best practices and organization's data architecture standards.

* Perform code review and testing.

* Drive optimization, testing to improve data quality and review solution design for data pipelines

* Ensure that proposed solutions are aligned and conformed to the big data architecture guidelines and roadmap.

* Ensure the reliability and accuracy of the data being processing is crucial. The engineer will establish robust monitoring, logging, and alerting to track pipelines' performance and data quality.

* Adopt the best data engineering practices to design and build reliable data marts in the Hadoop ecosystem for planning, reporting and analytics.

* Collaborate with cross-functional teams, such as stakeholders, data scientists and data analysts to align the logics of key metrics, and to ensure code logics correctly reflects latest business definitions.

* Maintain and optimize data pipelines to ensure all data are up to date with data accuracy and integrity.

* All code must be stored in a central repository with clear branching strategies and well documented commit messages.

* Work across various stakeholders to ensure smooth production deployment of data pipeline and adherence to data governance policies.

* Proactively identify and suggest solutions to improve data engineering process.

* Architect end-to-end solution for insurance data modelling in data warehouse and work with data engineering team on acquiring of data, contextualizing data for business analytics and integrating of product with business process and implementing insurance data modelling.

* Business process owner for onboarding business users and data products onto data platform and the data pipelines that feeds into dashboards or statistical model

Mandatory Skillset:

10+ Years of experience in Data related projects

Strong proficiency in Python, Hadoop, Hive, Spark, CDP

Good experience in Insurance or Banking domain is added advantage

User handling experience as this position require the individual to work with Business users directly

Responsibilities:

• Develop manufacturing and test procedures.
• Install, repair, and maintain equipment in the field, and provide customer training as needed.
• Train manufacturing teams on the assembly and testing of both new and existing products, and support integration between software and electrical control systems.
• Prepare clear and structured documentation for analysis, and recommend design improvements.
• Assemble, test, and troubleshoot product designs while providing feedback for enhancements.
• Evaluate product and equipment performance using field data, and suggest improvements or modifications.
• Travel internationally to assess system performance and support custom installations.
• Perform additional duties as assigned.
  

Qualifications:

• Diploma / Bachelor’s degree or higher in Electrical Engineering or a related discipline.
• Proficient in MS Office and quick to learn specialized software tools.
• Preferably over 1 year of relevant experience in electrical engineering or related roles.
• Proficiency in programming languages like C++, C#, or HDL
• Strong organizational, communication, and interpersonal skills.
• Ability to multitask and prioritize effectively.
• Self-motivated, reliable, and accountable.
• Excellent problem-solving skills with strong attention to detail.
• Able to work independently or supervise project-based tasks when required.

We regret only shortlisted candidates will be contacted. All applications will be handled confidentially. By submitting your application, you agree to the collection, use, retention, and disclosure of your personal information to prospective employers.

Wecruit Pte Ltd
EA License No: 20C0270
EA Personnel: Nyon Hock Sen (Aden)
EA Personnel Reg No: R24124070

Join an agile, cross-functional team building secure, scalable, mission-critical digital platforms for the public sector. You will work across the full stack, developing responsive front-end apps and robust backend services, while gaining exposure to diverse technologies and growth opportunities.

Key Responsibilities

• Build and deliver scalable, tested full-stack features (Next.js, Redux, JavaScript; Java, Python, C++)
• Contribute to Agile ceremonies and continuous improvement
• Collaborate with QA, UI/UX, and DevOps for quality and usability
• Write unit/integration tests and support CI/CD pipelines
• Troubleshoot and resolve defects and production issues
• Perform code reviews and follow secure coding practices
• (Optional) Support architecture and integration with government systems

Requirements

• 4–6 years of software development experience
• Proficiency in Java, Python, or C++
• Experience with Next.js, Redux, and JavaScript/TypeScript
• Strong knowledge of REST APIs, OOP, and secure coding
• Familiarity with Agile tools (Jira, GitLab, Confluence)
• Strong problem-solving and teamwork skills
• (Bonus) Cloud (AWS/Azure) or real-time/IoT experience

(EA Reg No: 20C0312)

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

Only shortlisted candidates will be notified.

Responsibilities

• Plan, execute, monitor and control the various technical aspect of the project.
• Manage or participate in new setup or upgrade of system/network infrastructure projects.
• Responsible for supporting operational systems satisfying contractual Service Level Agreement
• Perform and manage routine preventive maintenance and operational activities
• Provide project documentation and reports
• Diagnose and rectify technical issue

Requirements

• Experience in Windows server OS, Unix/Linux OS & VM environment
• Good knowledge and hands-on experience with Microsoft SQL Server would be an advantage
• Good Working knowledge with VPN, firewall appliances and Cisco routers/switches
• Excellent written and verbal communication to convey technical ideas to both technical and non-technical audiences and contribute within a team environment
• Pro-active, dynamic and with good analytical/conceptual thinking

Your recruiter for this job:
WhatsApp Chally @ 6304 8675 for a quicker response.
Connect with me on LinkedIn: https://www.linkedin.com/in/cadeguino/
Chally | chally@talentsis.com.sg
Talentsis Pte Ltd | EA No: 20C0312

Data Centre Delivery Services Engineer to lead and support the planning, design, and implementation coordination of data center infrastructure.

The ideal candidate will have at least 5 years of hands-on experience in interpreting DC plans, designing layouts, reviewing vendor submissions, and managing infrastructure implementation in line with technical and operational standards.

The person will be an independent contributor & work with different teams from the client (NW Team , Compute / Server team etc).

Responsibilities

Read, interpret, and validate data centre floor plans and technical drawings

Design and plan DC hall layouts for newly allocated spaces, including rack positioning, structured cabling, power, and cooling design

Review and assess vendor-submitted data centre plans, evaluate proposed technologies, and clarify design justifications

Present findings and proposals to internal stakeholders through clear reports and presentations

Coordinate and oversee the implementation of data centre infrastructure with vendors, contractors, and internal DCO teams

Ensure that implementation follows approved designs and complies with safety, regulatory, and operational standards

Contribute to the improvement of internal design standards and delivery practices

Requirements

Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, or related field

Minimum 5 years of experience in data center design, planning, and implementation coordination

Proven ability to interpret and work with data center schematics and technical layouts

Strong knowledge of rack layout, structured cabling, power distribution, and cooling infrastructure

Experience working with vendors, contractors, and internal engineering teams in infrastructure project delivery

Good communication and stakeholder management skills

Familiarity with regulatory and industry standards in high-availability data centre environments

Background in banking or other mission-critical facilities is preferred

Relevant certifications are highly regarded:

o CDCDP® – Certified Data Centre Design Professional

o DCDC – Data Centre Design Consultant

o ATD – Accredited Tier Designer

o CDCE® – Certified Data Centre Expert

o CDCMP® – Certified Data Centre Management Professional

o PE (Professional Engineer) certification is an added advantage, especially for validating and endorsing design compliance

Job Responsibilities:

Hyperscale Server Design Engineer is responsible for designing, validating, and optimizing high-performance server hardware, racks, and infrastructure systems to support massive-scale cloud computing environments. Responsibilities include:

• Conduct server feasibility studies, define and maintain hardware architectures and solutions, and create execution plan.

• Design schematic, create BOM, support prototype/engineering build.

• Guide and work with PCB engineers on layout and placement.

• Design, deploy, and operate large-scale GPU-based compute environments, including optimizing network topologies like InfiniBand and Ethernet.

• Lead server validation and bringing up complex systems, including lab validation, SI/PI (Signal Integrity/Power Integrity) analysis, and debugging.

• Partner with software, datacenter engineering, mechanical and thermal, and vendor teams to ensure seamless hardware/software integration. Drive root cause analysis and corrective actions.

• Apply advanced knowledge of server energy efficiency and power redundancy to optimize for performance and cost.

• Work with manufacturing teams to resolve issues and to support NPI and production builds.

• Provide technical expertise and consultation to peers.

• Maintain consistent high quality of engineering design work to develop robust, high performance and cost effective designs and products.
  

Job Requirements:

• Degree/Master in Electrical/Electronic/Computer Engineering or equivalent

• Minimum of 5-10 years of experience in computer architecture, server design or hardware validation.

• Strong design experience and knowledge in any of the following:

  • Knowledge of GPU/CPU architectures, high-speed interfaces (QSFP-DD/OSFP) and memory interfaces such as DDRx DRAM, NAND/NOR/SPI Flash.

  • High speed interfaces including PCIe, NVLink, GbE, SAS, USB.

  • BMC implementations.

  • High DC voltage power designs and distribution, and thermal management.

  • High-speed Ethernet networking.

  • Experience with liquid cooling is an advantage.

• Understanding integration of software and hardware.

• NPI project execution experience and familiarity with Product Development Life Cycle will be desirable.

• Experience using CAD tools (e.g. Cadence Allegro, Mentor PAD).

• Experience with SI/PI simulation (e.g. ANSYS HFSS/SIWave) and lab equipment like high-speed oscilloscopes and VNAs are added advantage.

• Familiar with ISO9001.

• Troubleshooting skills in high-speed signaling, thermal or power delivery.

• Self motivated and willing to learn new technology and skills who works well under pressure.

• Excellent oral and written communication skills.

Role: CloudEngineer (GCC)

KeyResponsibilities:

• Manage the day-to-day operations of Government Cloud (GCC) Microsoft Azure infrastructure, ensuring stability, performance, and security.
• Lead the implementation of Azure cloud projects from planning and design through deployment and documentation.
• Work collaboratively with application, infrastructure, and network teams to support deployments, troubleshoot issues, and align on architectural decisions.
• Design, configure, and manage Azure Virtual Networks and Subnets, enabling secure and scalable cloud environments.
• Configure and maintain Network Security Groups (NSG) to enforce traffic control policies.
• Deploy, configure, and support Azure Load Balancers (LB) for high availability and optimal performance.
• Implement and manage Web Application Firewall (WAF) policies to protect web applications from threats and vulnerabilities.
• Configure and administer Azure DNS for name resolution and service discovery.
• Set up and maintain route tables and virtual network peerings to support hybrid, multi-region, and cross-subscription architectures.
• Integrate and manage syslog solutions and maintain the Azure Log Analytics Workspace for effective monitoring, diagnostics, and auditing.
• Oversee the procurement, management, and renewal of SSL certificates related to WAF and firewall infrastructure.
• Automate infrastructure provisioning and configuration using Terraform, adhering to Infrastructure-as-Code (IaC) standards.
• Ensure adherence to security best practices, compliance standards, and organizational policies.
• Participate in incident response and root cause analysis related to Azure infrastructure.
• Continuously assess the environment for performance improvements, cost optimizations, and new service adoption opportunities.
• Develop performance and operational reports.

RequiredQualifications:

• Certified in Microsoft Azure Administrator Associate (AZ-104) is mandatory.
• Certified in Cisco Certified Networking Associate (CCNA) will be a plus.
• Bachelors Degree or Diploma in Information Technology, Computing or equivalent
• 2–3 years of experience working with Azure infrastructure in GCC 1.0 and 2.0 environment.
• Proven hands-on experience with Terraform for Azure automation.
• Strong knowledge of Azure networking, security, and monitoring tools.
• Familiarity with logging analysis and monitoring via Azure Monitor and Log Analytics.
• Good understanding of ITIL processes, including Incident, Problem, Change, and Configuration Management.

Thales Singapore Engineering Competence Centre (ECC) is a well-established R&D and engineering center serving major customers worldwide in Digital Identity and Security domains ranging from mobile connectivity, IoT, banking & payment to government solutions.

Thales DIS Digital Payment business line is seeking a mobile developer for our successful Mobile payment product.

Thales DIS -Digital Payment offers a simplified digital experience solution for proximity payment and e-commerce, allowing banks and businesses to offer a multi-channel and multi-device payment experience. This sophisticated solution that involves multiple web services and clients, offers a single platform that provides ready-to-eat, easy-to-integrate services while ensuring best-in-class security.

Responsibilities:

• Participate in design, implementation, and validation of mobile SDK and application within the R&D project team structure in accordance with institutionalized processes and delivery standards
• Participate in the design and development of mobile SDKs
• Contribute to the improvement of existing technology platform/baseline and development methodology through prototyping and patent proposal
• Troubleshoot and SL3 support for our customers

Requirements:

• Degree in Information Security / Electrical/Electronics/Computer Engineering, or related fields.
• Strong knowledge of mobile development in Android, especially on relevant core platform technologies.
• Proficient in Java, Kotlin
• Minimum 5 years of work experience in mobile technologies
• Proficient in native development is a plus
• Strong interest in mobile applications ecosystem
• Knowledge of OO design and programming skills, as well as unit testing and test automation
• Experience with continuous integration and build automation Jenkins and Gradle
• Motivated self-starter, strong logical, creative problem-solving skills and excellent analytical skills
• Keywords: Mobile Payment, NFC payment, VISA, MASTERCARD, Mobile Security, Fintech

Responsibilities

• Provide technical assistance and support to customers and channel partners across the region, from enquiry to post-deployment support.
• Deliver product walkthroughs, technical workshops, and on-site/virtual training to uplift users’ application know-how.
• Configure motion control systems at customer sites, including commissioning, parameter tuning, and servo performance optimisation.
• Support pre-sales activities by proposing suitable technical solutions, conducting demos, and addressing application feasibility.
• Collaborate with customers to design and implement tailored motion applications for specialised use cases.
• Diagnose system issues, perform root cause analysis, and drive timely resolution to minimise downtime.
• Work with internal teams to relay field feedback and contribute to continuous product and solution improvements.
• Maintain technical documentation, application notes, and best-practice guidelines to support customer success.

Requirements:

• Degree in Electrical Engineering, Mechatronics, Automation, or a related engineering discipline.
• At least 2 years of experience as a Field Application Engineer or Application Engineer  roles supporting motion control systems, industrial automation solutions, robotics, or high-precision equipment.
• Solid fundamentals in control systems, servo drives, motors, and power electronics, with hands-on system integration exposure.
• Comfortable with basic programming or scripting (e.g. Python, C/C++) for application development and troubleshooting; strong communication and problem-solving skills.
• Comfortable with business travel around APAC and to HQ.

Please submit your updated resume in Word format by using the Apply Now Button.
We regret that only shortlisted candidates will be notified.
Email resume to ken.ng@peopleprofilers.com
People Profilers Pte Ltd, 20Cecil Street, #08-09, PLUS Building, Singapore 049705.
Tel: 6950 9724
http://www.peopleprofilers.com
EA License Number: 02C4944
Registration Number: R1872398
Posting Personnel: Ng Jwee Ken
Ref: 63XR5W55

We are seeking an experienced Test Engineer to drive quality across the Agile development lifecycle. You will design and execute test strategies, ensuring delivery of reliable, secure, and high-quality software while collaborating closely with developers, product owners, and stakeholders.

Key Responsibilities

• Design and execute test strategies, plans, and cases based on acceptance criteria
• Perform manual and automated testing across functional, integration, system, and UAT stages
• Contribute to test automation and continuous testing in CI/CD pipelines
• Identify, track, and resolve defects in collaboration with developers
• Support Agile teams with early and frequent testing in each sprint
• Prepare UAT artefacts, validate functionality, and ensure audit-ready documentation
• Maintain clear test plans, results, and defect reports

Requirements

• Bachelor’s degree in a relevant field (or equivalent experience)
• 5+ years in software QA/testing within Agile environments
• Strong experience in manual and automated testing
• Familiarity with tools such as Selenium, Cypress, JUnit, or TestNG
• Understanding of Agile testing and CI/CD practices
• Strong collaboration, problem-solving, and documentation skills

(EA Reg No: 20C0312)

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

Only shortlisted candidates will be notified.