Total 2,015 Senior Executive failure analysis engineer job vacancies in Singapore

Company Overview

Greensafe International Pte Ltd provides consulting, training, auditing, and outsourcing services focused on Workplace Safety & Health, Environmental, and Quality solutions across various industries and workplaces.

Job Summary

Lead civil and structural engineering efforts by reviewing submissions, monitoring project progress and quality, coordinating with stakeholders, and supporting project managers to ensure successful project execution.

Responsibilities

• Review engineering submissions and drawings to ensure compliance with project specifications and standards
• Monitor project progress and quality compliance to identify and resolve issues promptly
• Coordinate effectively with consultants and contractors to facilitate smooth project workflows
• Assist project managers in executing projects by providing technical support and ensuring timely deliverables
• Communicate technical information clearly to stakeholders to support decision-making and project alignment

Required competencies and certifications

• Degree in Civil & Structural Engineering
• Minimum 5 years of relevant experience in civil and structural engineering projects

Preferred competencies and qualifications

• Experience in infrastructure or building projects
• Strong technical and communication skills demonstrated through project coordination and reporting

Responsibilities:

• Carry out routine maintenance and troubleshooting of chiller systems to ensure reliable operation and optimal efficiency.
• Deliver professional customer support by responding promptly to client queries and issues related to chiller operations and maintenance.
• Diagnose and rectify mechanical, electrical, and control system faults with effective corrective actions.
• Advise and educate clients on proper operating and maintenance practices to extend equipment lifespan.
• Prepare clear and detailed service reports, including work performed, findings, and improvement recommendations.
• Perform commissioning for new chiller installations, ensuring systems are correctly installed and operate according to specifications.
• Coordinate with clients, agents, and contractors to verify system performance and compliance with technical requirements.
• Build strong working relationships with contractors to promote teamwork and effective problem-solving.
• Share technical knowledge with contractors to enhance processes and overall service quality.
• Comply strictly with workplace safety regulations and procedures during all service activities.
• Conduct safety briefings to ensure all parties are aware of and adhere to safety responsibilities.
• Operate in various site environments, including outdoor and plant room settings.
• Perform field-based duties with regular travel to customer locations.
• Provide standby support and respond to chiller breakdowns when assigned.

Qualifications:

• Diploma or higher qualification in Engineering, preferably in Electrical or Mechanical disciplines.
• 3–5 years of hands-on experience in chiller maintenance, commissioning, or related HVAC roles.
• Certified in Building Construction Supervisors Safety Courses or equivalent safety training.
• Strong technical expertise in chiller systems, HVAC fundamentals, and electrical control systems.
• Demonstrated problem-solving ability with strong attention to detail.
• Effective communication and interpersonal skills to work well with clients and internal teams.
• Capable of working independently while managing time and priorities efficiently.
• Consistently meet maintenance schedules and ensure all tasks are completed on time.
• Proven ability to accurately diagnose and repair chiller system faults through systematic assessments.
• Maintain a high level of professionalism and technical competence in all customer engagements.
• Communicate clearly and promptly with customers on service progress, timelines, and updates.
• Provide clear explanations of work performed and practical recommendations for future maintenance.

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

You will be responsible for optimizing supply to demand request as well as developing and improving the performance levels of the overall FE probe network, working with various internal and external groups to improve overall FE output performance, and meeting the output commitment on time. You will be facilitating on the rolling out of key indices to Micron executives highlighting issues and mitigation plan. You will be responsible to audit and improve process efficiency and incorporate automation process into metric updates.

• Establish and standardize network probe metrics for Die Mix attainment & operations efficiency. BIC metrics benchmarking and BKM deployment across network to drive standardization.

• Establish probe card and tester BP for capacity optimization, allocation, methodology to drive cross-site & cross-platform fungibility. ​

• Drive probe flex alignment with Global Supply Chain team and Central Probe Planning to meet die mix variability

• Drive die mix optimization, probe card swap process, audit and maximize vendor capacity/allocation to meet network needs

• Collaborate with SMAI on automation to ensure consistency and sustainability​

• Systemization of probe business processes and audit sites on compliance.

• Synchronization of Die Mix processes with Probe Planning process​

• Synchronization of Probe Long Term Planning with Short Term Planning ​

• Synchronization of IE Planning with operations process (POR-MOR gaps), establish Plan-Do-Check-Act (PDCA) process and feedback loop

Requirements :

• Bachelor's degree in Industrial System Engineering, Electrical and Electronics Engineering, Mechanical Engineering or Aerospace Engineering

• 3-5 years of experience in Probe Planning/Probe Manufacturing/Inventory Control/Production Planning/Line Management

• Proficiency in data analytics tools (e.g. Python, SQL or Tableau) to perform detailed analysis and provide metrics visibility

• Able to analyze line performance and provide line direction through concept of Line Management and Inventory Management to meet business plan.

• Proven ability to make decisions, multi-task, and troubleshoot problems and address root causes.

• Proven ability to build consensus in cross-functional groups

• Fluent in the basic concept of weekly wafer starts and wafer outs business process is a good to have.

Role: Senior / DeltaV Programmer - LSMG

Responsibilities

• Responsible for the design and delivery of DeltaV application system on site.
• Participate in the development and implementation of Automation solutions in line with S88 standards for the plant.
• Creates and maintains applications according to technical design and requirements.
• Develop and/or review System Development Life Cycle (SDLC) deliverables, compliant with the site’s standards. Determine the processes and data flow that supports the needs of the project.
• Design & Develop plan for modifications to be made to the system through working with team in development of systems architecture, specifications, controls strategies, sequence of operations through all stages.

Requirements

• Experience in a similar role, ideally in the Pharmaceutical and/or Biotechnology industry.
• Emerson DeltaV DCS system experience and DeltaV Batch experience required
• Experience in the Designing and commissioning of DeltaV DCS project for GMP manufacturing site.
• Technical proficiency on controls systems including familiarity with control panels, networking, panel/field wiring and PLC control systems.
• Through understanding of Batch s88 standards (CM, EM, Phases, Recipes, Units etc)
• Familiarity with GAMP lifecycle and quality management processes employed in the pharmaceutical sector
• Ability to work well in a team environment
• Supervise and conduct system testing Factory Acceptance Test (FAT)
• Excellent computer skills, proficient in the use of the following Microsoft tools: Excel, SharePoint, Word and PowerPoint.
• Excellent communication and customer orientation skills
• Good analytical & problem-solving skills
• Ensure project Automation Strategy is followed.

About Cognizant

Cognizant (Nasdaq: CTSH) engineers modern businesses. We help our clients modernize technology, reimagine processes and transform experiences so they can stay ahead in our fast-changing world. Together, we're improving everyday life. See how at www.cognizant.com or @cognizant.

About EIPA

The EDHEC Infrastructure & Private Assets Research Institute is an applied research centre focused on improving the way private assets are measured, valued and understood by institutional investors, regulators and market participants.

Our work challenges flawed practices in private asset investing anddevelops more scientific, transparent and robust approaches to valuation, risk measurement, performance attribution and alpha measurement. Current research priorities include private asset valuation accuracy, fair value practices,private equity volatility, private debt risk, factor models for infrastructure and private equity and alpha measurement.

We are looking to recruit Senior Research Engineers to strengthen our research capacity and turn ambitious private-assets research ideas into rigorous empirical outputs,working papers, academic journal submissions and practitioner-facing publications.

The role

The Senior Research Engineer will work at the intersection of private assets, empirical finance, quantitative methods, data engineering and academic research.

The successful candidate will build and analyse data sets across private equity, infrastructure, private debt and related alternative asset classes. They will take ownership of empirical work on topics such as valuation accuracy, private asset volatility,performance attribution, factor exposures, GP behaviour, private-market alpha and risk estimation.

Key responsibilities

The Senior Research Engineer will:

• Work with EIPA researchers to design, implement and test empirical research methods in private assets.
• Build and maintain research datasets using sources such as company accounts, transaction databases, regulatory filings, fund disclosures, valuation records and commercial private-market databases.
• Lead and execute empirical analysis for working papers, policy papers, insight papers and academic journal submissions.
• Translate research questions into robust empirical designs, including regression analysis, panel data methods, difference-in-differences, factor models, event studies, network analysis and other quantitative techniques.
• Develop research on private asset valuation accuracy, fair value practices, volatility estimation, alpha measurement, private equity value creation, private debt risk and infrastructure expected returns.
• Develop reproducible research code, data pipelines and documentation that allow results to be audited, replicated and extended.
• Prepare publication-quality tables, figures, robustness checks and methodological appendices for academic papers.
• Identify data limitations, measurement problems and methodological weaknesses in existing private-market research.
• Draft sections of research papers, especially methodology, data, empirical results and robustness sections.
• Drive publication efforts in academic and practitioner outlets, including responding to referee comments and revising empirical analysis where required.
• Collaborate with internal teams and external academic or industry partners where appropriate.
• Mentor junior researchers, analysts or research assistants on coding, data quality and empirical methods.

Current research areas

The role will advance EIPA’s research pipeline across three broad areas.

Valuation and transparency

This includes work on the accuracy of private asset valuations, fair value practices, ASC 820 / IFRS 13 Level 3 disclosures, valuation policy,valuation back testing, listed private equity fund holdings, BDC mark accuracy and the incorporation of climate risks into infrastructure valuations.

Risk measurement

This includes work on private asset volatility, private debt spreads, BDC loan concentration, network analysis of private asset markets, total portfolio risk management and improved estimation of systematic risk ininfrastructure and private equity.

Alpha and performance measurement

This includes research on private-market alpha, return attribution,secondary buyouts, GP de-risking and factor timing, private equity value creation, mimicking finance for private assets and the construction of large-scale private equity datasets.

Required experience

Candidates should have:

• Strong exposure to private assets, alternative investments or institutional investment research.
• Strong ability to work with researchers and quantitative methods.
• Demonstrated experience conducting empirical research, ideally in finance, economics, accounting, investment management or a related field.
• The ability to produce research that can be submitted to academic journals, including familiarity with empirical research standards, robustness testing, literature positioning and academic writing.
• Advanced programming ability, preferably in Python and/or R.
• Strong data skills, including experience with messy, incomplete and multi-source datasets.
• Good knowledge of econometrics, statistics or quantitative finance.
• Experience with SQL or structured databases.
• Strong understanding of reproducible research practices, including version control, documentation, code review and testing.
• Ability to explain technical methods and empirical results clearly to both academic and non-technical audiences.
• Excellent written English and the ability to write directly for research papers.

Desirable experience
The following would be particularly valuable:

• Familiarity with the literature in private assets, alternative investments or institutional investment, including private equity, infrastructure, private debt, real estate, private credit, project finance, asset management, pension funds, sovereign wealth funds, investment consulting or private-market data providers.
• A PhD or research master’s degree in finance, economics, accounting, statistics, data science, engineering, mathematics or a related discipline.
• Previous publication record in academic journals, working papers, SSRN papers or high-quality applied research.
• Experience with private equity datasets such as Orbis, PitchBook, Preqin, Capital IQ, Burgiss, EDGAR filings or fund-level datasets.
• Experience with valuation research, fair value accounting, Level 3 assets, ASC 820, IFRS 13 or private-market NAV reporting.
• Experience with asset pricing, factor models, return attribution, volatility estimation or total portfolio risk models.
• Experience with panel data, causal inference, difference-in-differences, event studies, machine learning, network analysis or NLP.
• Knowledge of infrastructure finance, regulated utilities, private debt or BDCs.
• Experience collaborating with academic co-authors or responding to journal referee reports.
• Experience producing both academic papers and practitioner-facing research.

Candidate profile

We are looking for someone who is intellectually rigorous, empirically minded and comfortable working on difficult private-market problems where the data are imperfect and the methodology matters.

The ideal candidate will be able to move between code, data, financial theory and research writing. They should be comfortable asking whether a resultis economically meaningful, whether a model is correctly specified, whether a dataset is biased, and whether the evidence is strong enough for publication.

This role would suit a research engineer, empirical finance researcher,quantitative analyst, data scientist or applied economist who wants to work on high-impact private-assets research with both academic and industry relevance.

Technical skills

The ideal candidate should have strong skills in several of the following:

• Python and/or R
• SQL
• Git / GitHub
• Econometric and statistical modelling
• Panel data methods
• Data cleaning and entity resolution
• Financial statement data
• Regulatory filings and disclosure data
• Private-market transaction and fund data
• Reproducible research workflows
• Research documentation and methodological appendices

Knowledge of graph databases, network analysis, machine learning, cloud platforms or large-scale data pipelines would be helpful but is not essential.

Why join EIPA?

This is an opportunity to work on some of the most important unresolved questions in private markets: how private assets should be valued, how riskythey really are, whether managers generate genuine alpha, and how institutional investors should measure performance and allocate capital.

The role offers the chance to produce research that is academically credible, practically relevant and directly connected to major debates in private asset investing.

Application

Applicants should submit a CV and a short cover letter (pdf format) explaining:

• Their experience in private assets or alternative investments.
• Their experience with empirical research and quantitative methods.
• Their programming and data skills.
• Their publication experience or ability to write for academic journal submissions.

Please note: Only shortlisted candidates will be contacted. If you do not hear from us within 21days, please assume your application has not been successful on this occasion.

Applicants can send your resume to recruitment@edhec-dbd.com

KEY RESPONSIBILITIES:

• Contribute to IP selection and architecture definition; create functional specifications.
• Perform PPA evaluation and optimization.Develop RTL for functional blocks/units with architectural features and timing constraints, targeting synthesis and APR.
• Support debugging across RTL simulation, gate-level, and post-layout simulations.
• Conduct quality checks using FE EDA tools such as Spyglass.lint, CDC, RDC, etc.
• Take ownership of the full project lifecycle, from architecture to production.

PREFERRED EXPERIENCE:

• > 10 years of hands-on experience in digital frontend design.
• Strong proficiency in Verilog/VHDL.
• Hands-on experience with logic FE tools (e.g., VCS, Verdi, Spyglass, DC).
• Experience in Static Timing Analysis is a strong plus.
• Prefer candidates with experience implementing advanced-process chips.
• Familiarity with low-power design and power simulation preferred.
• Proficiency in TCL, Perl, or similar scripting languages is a plus.
• Prior experience with multiple tape-outs and chip bring-up is preferred.
• Leadership or management experience is an advantage.

ACADEMIC CREDENTIALS:

• Bachelor or Masters Degree in Electronic Engineering, with years relevant work experience.

about company

I am currently working with a prominent public sector technology organization.

Salary structure: Base + bonus. Hybrid working arrangement. 3-4 rounds of interview to offer.

about job (multiple openings for Senior and Staff level)

• End-to-end software development, and lifecycle to achieve project goals to the required level of quality; promote team engagement and motivation.
• Hands-on technical and functional input to design, maintenance, build, integration and testing of complex software components according to functional and technical design specifications.
• Drive adoption of relevant, up-to-date technologies, practices and tools in Agile software projects
• Analyze and provide input for the requirements and provide impact assessment for new features or bug fixes. Make high-level design and establish technical standards.

skills and requirements

• Minimum 8 years of relevant working experience
• Experience in modern web application technologies (e.g. Java, Python, Golang, NodeJS)
• Experience architecting and developing solutions to ambiguous problems
• Experience in Agile software development

To apply online please use the 'apply' function, alternatively you may contact Stella at 96554170 (EA: 94C3609 /R1875382)

Job Details

Position Title : Senior Electrical Engineer

Employment Type : Full Time

Position Level : Mid Level

Job Specialization : Engineering – Electrical Consultant

Monthly Salary : $5500 - $7000

Job Requirements

Education Level : Bachelor Degree

Field of Studies : Engineering Electrical

Yrs of experience : Min. 3 years

Main Role and Responsibilities

Planning and Design of Electrical engineering works for building services projects to deliver buildable design within a timely manner, and economical service to meet client’s requirement. Incumbent must influence across services without formal authority and manage the success of projects.

Key Responsibilities

• Design of electrical services such as sub-station, single line diagrams, small power and lighting, lightning protection system, security system, data cabling, public address system, etc.
• Submission of sub-station and TFCC plan
• Application to SP Group for any pre-consultation or new electrical load.
• Presentation of design concept report to client.
• Preparation of M&E cost estimate base on approved design scheme.
• Preparation of technical specifications and tender documentation.
• Co-ordination of M&E services within the office.
• Reviewing of shop drawings, material submissions and handle RFIs.
• Verification of Work Progress and Variation Order for progress claim.
• Liaise with main contractor, architect, Interior designer, authorities to ensure technical compliance and timely completion of project.
• Carry out site investigation survey and submitting of technical reports.
• Project Management from pre-development through to completion, including the followingSite Assessment and Inspection
  Design development and co-ordination
  Attend site meetings, technical meetings etc to resolve technical issues.
  Following up with authorities on submissions, inspection and issuance of certification.
  

Prerequisites

• Degree in Electrical Engineering
• At least 3 years’ hands-on experience in design in an engineering consultancy firm for degree holder.
• Experience in handling full cycle of building service projects and proven track record.
• Good understanding of Singapore Code of Practice and authority submission process.
• Confident and have strong presentation & communication skills
• Able to work independently as well as in a team setting

Skills Requirement

• AutoCAD
• Microsoft office

We invite suitably qualified applicants to apply by sending their CV, outlining their work experiences, current, expected salary and contact details.

We regret that only shortlisted candidate will be contacted.

Job Responsibilities:

• Plan, execute, monitor, and control all technical aspects of projects.
• Lead or contribute to new system/network infrastructure setups or upgrades.
• Support operational systems in line with contractual Service Level Agreements (SLAs).
• Conduct routine preventive maintenance and manage operational activities efficiently.
• Prepare comprehensive project documentation and reports.
• Troubleshoot and resolve technical issues promptly.

Requirements:

• Strong knowledge of Windows Server OS and Linux OS; experience in virtualized environments is a plus.
• Hands-on experience with virtualization, hypervisors, and the Nutanix platform is an advantage.
• Understanding of VPNs and firewall appliances is beneficial.
• Familiarity with network switches and routers is preferred.
• Excellent written and verbal communication skills to articulate technical concepts to both technical and non-technical stakeholders.
• Proactive, dynamic, and analytical with strong conceptual thinking abilities.
• Able to work independently and collaboratively, with strong interpersonal skills.

Work Location: North / Central

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

Only shortlisted candidates will be notified.

Position Summary

We are seekinga highly experienced Senior QA/QC Engineer to support a major Plant Turnaround / Shutdown project. This is a senior technical role requiringextensive experience in quality assurance, quality control, welding inspection,mechanical integrity, and turnaround execution within operating process plants.

The successfulcandidate must be capable of independently managing QA/QC activities, reviewinginspection and test plans, overseeing contractors, and performing weldinginspection duties where required.

IdealCandidate Profile

This positionis intended for a seasoned QA/QC professional who can serve as the project'ssenior quality focal point and perform welding inspection duties when required.Candidates without significant turnaround experience, recognised weldinginspection certification, or the minimum years of experience will not beconsidered.

KeyResponsibilities

• Lead QA/QC activities during plant turnaround and shutdown execution.
• Ensure compliance with project specifications, client requirements, international codes, and industry standards.
• Review and approve Inspection & Test Plans (ITPs), quality procedures, method statements, and inspection records.
• Conduct surveillance and audits of contractors and subcontractors.
• Perform or witness inspections for welding, piping, static equipment, pressure vessels, tanks, structural steel, and mechanical works.
• Verify welding qualifications, WPS, PQR, welder qualifications, and NDT requirements.
• Coordinate with Operations, Maintenance, Inspection, Construction, and Client QA/QC teams.
• Monitor turnaround quality performance and identify areas requiring corrective action.
• Review NDT reports, material certificates, test records, punch lists, and turnover dossiers.
• Participate in root cause investigations and quality-related non-conformance resolution.
• Ensure all quality documentation is completed and handed over in accordance with project requirements.

MandatoryRequirements

• Minimum 20 years of QA/QC experience in onshore refinery, petrochemical, chemical, LNG, power generation, or process plant facilities.
• Minimum 10 years of experience supporting Plant Turnaround / Shutdown projects.
• Demonstrated experience in both Quality Assurance and Quality Control functions.
• Certified Welding Inspector qualification such as:
• CSWIP 3.1 or higher
• AWS Certified Welding Inspector (CWI)
• BGAS Welding Inspector
• Equivalent internationally recognised certification
• Extensive knowledge of:
• ASME Codes
• API Standards
• ASTM Standards
• ISO Quality Systems
• Welding Inspection Requirements
• NDT Methods and Acceptance Criteria
• Experience inspecting:
• Pressure Vessels
• Heat Exchangers
• Columns and Towers
• Storage Tanks
• Piping Systems
• Structural Steel
• Rotating Equipment
• Strong understanding of welding processes, PWHT, material traceability, flange management, hydrotesting, and mechanical completion systems.
• Ability to read and interpret engineering drawings, isometrics, welding drawings, fabrication records, and quality dossiers.

Preferred Qualifications

• Degree or Diploma in Mechanical Engineering, Metallurgy, Materials Engineering, or related discipline.
• Lead Auditor certification (ISO 9001) preferred.
• Additional NDT certifications (PT, MT, UT, RT) advantageous.
• Previous experience working directly for refinery, petrochemical, LNG, or major operating companies.

Product area

It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours. 

Job description

As a GenAI Forward Deployed Engineer (FDE) at Google Cloud, you are an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you function as an "innovator-builder," moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment. This role is designed for high-agency engineers with a founder’s mindset, and you will address blockers to production including solving the integration complexities, data readiness issues, and state-management challenges that prevent AI from reaching enterprise-grade maturity. By embedding with strategic accounts, you serve a dual purpose: providing "white glove" deployment of complex AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap.

Qualifications

Job responsibilities

• Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable return on investment.
  
• Architect and code the "connective tissue" between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.
  
• Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.
  
• Identify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for engineering teams.
  
• Be able to co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption. Translate technical concepts to non-technical and executive Mandarin-speaking audiences.

Minimum qualifications

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
  
• 5 years of experience with software development using Python or similar coding languages.
• Experience architecting AI systems on cloud platforms (e.g., GCP).
  
• Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.
• Experience taking production-grade AI-driven solutions from conception to launch for customers.
• Ability to communicate in Mandarin fluently in order to communicate in this customer-facing role.

Preferred qualifications

• Master’s degree or PhD in AI, Computer Science, or a related technical field.
• Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).
  
• Experience leading technical discovery sessions.
• Knowledge of "LLM-native" metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.

SENIOR BACKEND ENGINEER

Responsibility

The Backend Engineer is responsible for designing, developing, and maintaining scalable and secure backend services that power digital products. The role requires expertise in software engineering principles, modern development practices, and cloud-native architecture. Engineers must work in an agile, DevOps-driven environment, ensuring high software quality, reliability, and security.

a)    Collaborate with Business Analysts(BA) and Product Managers to refine user stories and translate them into technical requirements.

b)    Work with Quality Assurance (QA)engineers to ensure automated test coverage and proactively fix bugs and defects.

c)     Partner with DevOps teams to automate build, deployment, and monitoring pipelines.

d)    Develop and maintain scalable, high-performance APIs and backend services in a cloud-native environment.

e)    Implement modern software development practices, including TDD, pair programming, and CI/CD.

f)      Conduct code reviews, enforce security best practices, and ensure software craftsmanship standards.

g)    Design     and     document     system     architecture,         ensuring compliance with government security and regulatory standards.

h)    Excellent written and verbal communication skills to pitch ideas and influence stakeholders.

i)       End to end experience working with product team to build products.

j)       Ability to work effectively and independently under pressure and prioritize effectively to meet tight deadlines.

k)      Computer science, product management related degrees or diplomas are a plus.

l)       Optimize and improve backend systems for scalability, observability, and reliability.

m)   Where applicable, contribute to blockchain and smart contract development.

Experience and Skills Needed

Technical Skills:

a)     Degree or Diploma in Computer Science, Computer or Electronics Engineering, Information Technology, or related disciplines.

b)    Experience with Git and modern branching workflows (GitFlow, trunk-based development).

c)     Proficiency in modern backend programming languages such as: Shell Scripting, Java, Python, Golang, Node.js.

d)    Experience with cloud platforms (AWS, Azure, Google Cloud).

e)       Familiarity with microservices architecture and event-driven patterns is a plus(Kafka, RabbitMQ).

f)      Hands-on experience with containerization and orchestration tools (Docker, Kubernetes).

g)      Experience with CI/CD pipelines(ex. GitHub Actions, GitLab CI,).

h)       Knowledge of database technologies (ex. PostgreSQL, MySQL, MongoDB, DynamoDB, Redis).

i)       Experience with observability tools (Prometheus, OpenTelemetry, Grafana, ELK stack).

j)      Experience with Infrastructure as Code (IaC) tools (Terraform, CloudFormation).

k)       Experience with API documentation tools such as Swagger.

Software Engineering Practices:

a)     Experience working in Agile Software Delivery Life cycle and Practices(ex: Scrum, Kanban) with strong collaboration skills.

b)    Knowledge of Extreme Programming (XP) practices such as TDD, pair programming, continuous refactoring.

c)      Strong understanding of test automation frameworks (example: JUnit, PyTest ).

d)    Adherence to software craftsmanship principles, ensuring clean, maintainable, and efficient code.

Bonus Experience (Added Advantage):

a)     Experience working with government digital services and authentication mechanisms (SingPass, CorpPass).

b)     Experience with API gateways and service meshes(Kong, Istio, Apigee).

c)     Experience with serverless computing (AWS Lambda, Azure Functions).

Job Scope

• Involved in planning and development of projects.
• Assist to develop mechanical and/or electrical engineering designs based on project requirements, from conceptual to schematic and detailed designs.
• Assist to design mechanical and electrical systems.
• Assist to conduct project assessments and is able to suggest feasible and creative solutions based on the assessment results.
• Support tendering process.
• Assist to plan the team's manpower and provides on-the-job guidance to junior staffs

Requirements

• Degree in Electrical Engineering or related fields
• Meticulous and highly detail-oriented.
• Has a keen interest to incorporate new technologies into engineering design projects.
• Excellent knowledge in mechanical and/or electrical engineering fields
• Good problem-solving skills.
• Good interpersonal and project coordination skills crucial for networking with internal and external stakeholders.
• Required to work both in office and at project sites.
• Applicants with good experiences will be considered for Senior positions

Role Overview

We are looking for an experienced Senior Systems & Network Engineer to support security-centric infrastructure projects. The role involves system and network infrastructure engineering, implementation, operations support, technical escalation, security hardening, compliance activities and stakeholder coordination.

This position is suitable for candidates with strong hands-on experience in systems, networking, security infrastructure and project implementation across physical and virtualised environments.

Key Responsibilities

• Provide system and network infrastructure engineering support for small to large-scale security-focused infrastructure projects.

• Work closely with solution architects to define the best approach for system and network design and implementation across physical and virtualised environments.

• Act as the technical escalation point and subject matter expert for system security, network architecture, implementation and operations.

• Lead technical implementation of new network and system solutions, working alongside project managers, customers, telcos and product partners.

• Perform and validate system and network hardening activities and maintain baseline configuration documentation.

• Lead ad-hoc technical activities such as major maintenance, migrations and disaster recovery exercises.

• Support compliance and audit activities to ensure policies, standards and procedures are properly enforced.

• Mentor and guide junior engineers where required.

• Provide standby support after office hours when needed.

Requirements

• Diploma or Degree in Engineering, Information Systems, Information Security or a related discipline.

• Minimum 5 years of relevant experience in systems, network infrastructure or security infrastructure roles.

• Strong knowledge of networking fundamentals and industry-standard IT protocols.

• Hands-on experience with Windows, Linux, VMware and/or Hyper-V environments.

• Strong experience with Next-Generation Firewalls, VPN, switching/routing, load balancers and proxies.

• Experience in Windows Server domain environments, including Active Directory, Group Policy, DNS/DHCP and SCCM.

• Good understanding of system and network security, including hardening, patching, capacity planning and design.

• Experience in scripting, resource capacity planning and system design will be an added advantage.

• Good communication skills with a proactive, driven and team-oriented working attitude.

Preferred Skills and Certifications

• Professional IT or security certifications such as ITIL, CCNA, CCNP, MCSE or VMware certification will be preferred.

• Certifications or hands-on experience in Microsoft, VMware, Cisco, Check Point, Palo Alto, Fortinet or F5 technologies will be an advantage.

• Advanced certifications such as CCIE or CISSP will be advantageous.

Key Skills

Systems Engineering, Network Engineering, Infrastructure Security, Windows Server, Linux, VMware, Hyper-V, Firewall, VPN, Routing, Switching, Load Balancer, Active Directory, DNS, DHCP, SCCM, Security Hardening, Disaster Recovery, IT Infrastructure Implementation

Laurence Andaya - R26159876
Recruitment Consultant

EA 05C3053
BGC Group Pte Ltd (Outsourcing)

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Tyco Electronics Singapore Pte Ltd (TE Connectivity) is looking for an R&D Scientist/Engineer to join our Corporate R&D Center. The Scientist/Engineer will be part of a newly formed Artificial Intelligence team to create an AI Hub for TE in Singapore. Team members will collaborate with R&D peers, business unit partners as well as local university and government research centers to undertake projects that will embed AI in TE’s design and process development work flows to deliver a competitive advantage to TE’s technologies. This position is based at our Singapore HQ.

The Singapore Corporate R&D Center is chartered to work with the CTO’s and Advanced Development Groups of TE Business Units to identify technical areas of interest for R&D and develop forward looking technologies that will deliver broad value to the business. In order to improve the New Product Development process, TE is expanding our Artificial Intelligence capabilities as a part of our Digitalization strategy to improve efficiency, decrease cost, and decrease time to market.

Duties & Responsibilities:

• Run multiple projects in developing data science solutions to support new product development in TE
• Adopt cutting-edge data science techniques (using in-house coding tools or commercial software) to solve engineering problems (such as product design, manufacturing process development, material formulation, etc.)
• Develop multiple algorithms powered by machine learning and generative AI to work on experimental and simulation data sets
• Work in a multi-disciplinary environment with specialists in data science, mechanical engineering, material science, mechanics, additive manufacturing and other fields
• Collaborate with multiple business units to define deliverable, requirements, and functionalities.
• Create awareness across TE of the AI modelling capabilities of the Singapore center
• Work with local and global TE sites, and external customers and partners, to address urgent or strategic needs
• Partner with Singapore research institutes to develop advanced AI techniques, and assist with validation and knowledge transfer of outsourced projects

Qualifications:

Required:

• Master degree in Mechanical Engineering (or related) with 3-4 years (or Bachelor degree with 4-6 years) plus relevant working/research experience
• Keen interest in R&D involving coding and data
• Deep understanding of data science and artificial intelligence (having a second degree on data science is a plus)
• Broad understanding of multiphysics simulation (such as finite element analysis) along with experience in CAD (such as generative design)
• Strong programming skill in Python or similar languages
• Broad knowledge of manufacturing processes, material and product design
• Experience in effective project management strategies and tactics

Preferred:

• Familiarity with TE products (connectors, cables, sensors etc.) and manufacturing process, (molding, extrusion, plating, stamping, assembly)
• Familiarity with project management tools