Total 2,877 Senior Executive procurement engineer job vacancies in Australia

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.

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.

Job Description

· Knowledge in ISO 9001/14000 and TS 16949 QMS will be an added advantage

· 5 days work week (Monday to Friday)

· good Pay + AWS + variable Bonus + Good Benefit

Responsibility:

· Responsible for daily production line audit, managing the document control process for Quality Management Systems in compliance with ISO 9001/14000 and TS 16949 quality standards.

· Liaise with internal and other departments, customer and supplier for all quality related issues.

· Drive quality improvement activities for achieving quality goal and to meet customer’s requirements.

Requirements:

· Degree/Diploma in any Engineering discipline with

• Good Pay + Good allowance + Good Bonus
• Interested candidates please send an updated Resume / CV in Ms Word format to lilian@recruitflash.com or WhatsApp’s your resume to 98332779 ( no Calls)
• Consultant in-charge : Quah Li Lian (Lilian) ( Registration No: R1983286 )

The Managed Services Cross Technology Engineer (L2/L3) –Network / Security is a developing or seasoned engineering role,responsible for providing a managed service to clients to ensure that their ITinfrastructure and systems remain operational.

Through the proactive monitoring, identifying,investigating, and resolving of technical incidents and problems, the ManagedServices Cross Technology Engineer (L2/L3) is able to restore service toclients.

The primary objective of this role is to proactively work onautomation aspects of work focusing on Network / Security relating to theoperations. Also to work on client requests or tickets and applytechnical/process knowledge to resolve them without breaching service levelagreement (SLA).

The Managed Services Cross Technology Engineer (L2/L3)focuses on second-line support for incidents and requests with a medium levelof complexity and focusses across two or more technology domains - Cloud,Security, Networking, Applications and / or Collaboration etc.

This role may also contribute to / support on project workas and when required.

Key Responsibilities:

·       Network - Automate the provisioning, configuration, and testing of network infrastructure(routers, switches, firewalls, load balancers).

·       Develop and maintain CI/CD pipelines specifically for networkcode and configurations.

·       Utilize Infrastructure as Code (IaC) tools like Terraform orAnsible for network deployment.

·       Implement network monitoring and logging solutions to ensure highavailability and performance.

·       Maintain Git repositories for all network configurations andautomation scripts.

·       Collaborate with traditional Network and Software Engineering teams todesign scalable and reliable networks.

·       Focus on continuous improvement, pushing for a code-centric approachto network operations.

·       Security – Automate - Embed security testing and compliance checks earlyinto the CI/CD pipeline (Shift Left).

·       Implement automated security tools for SAST, DAST, SCA, andinfrastructure vulnerability scanning.

·       Manage and maintain security tools like WAFs, IDS/IPS, and CloudSecurity Posture Management (CSPM).

·       Develop and enforce security policies using Policy as Code (PaC).

·       Automate incident response and security monitoring throughlogging and alerting systems.

·       Conduct regular threat modeling and security reviews for newfeatures and infrastructure changes.

·       Educate and collaborate with Development and Operations teams on securecoding practices and security awareness.

·        

• Proactively monitors the work queues.
• Performs operational tasks to resolve all incidents/requests in a timely manner and within the agreed SLA.
• Updates tickets with resolution tasks performed.
• Identifies, investigates, analyses issues and errors prior to or when they occur, and logs all such incidents in a timely manner.
• Captures all required and relevant information for immediate resolution.
• Provides second level support to all incidents, requests and identifies the root cause of incidents and problems.
• Communicates with other teams and clients for extending support.
• Executes changes with clear identification of risks and mitigation plans to be captured into the change record.
• Follows the shift handover process highlighting any key tickets to be focussed on along with a handover of upcoming critical tasks to be carried out in the next shift.
• Escalates all tickets to seek the right focus from CoE and other teams, if needed continue the escalations to management.
• Works with automation teams for effort optimization and automating routine tasks.
• Ability to work across various other resolver group (internal and external) like Service Provider, TAC, etc.
• Identifies problems and errors before they impact a client’s service.
• Provides Assistance to L1 Engineers for better initial triage or troubleshooting.
• Leads and manages all initial client escalation for operational issues.
• Contributes to the change management process by logging all change requests with complete details for standard and non-standard including patching and any other changes to Configuration Items.
• Ensures all changes are carried out with proper change approvals.
• Plans and executes approved maintenance activities.
• Audits and analyses incident and request tickets for quality and recommends improvements with updates to knowledge articles.
• Produces trend analysis reports for identifying tasks for automation, leading to a reduction in tickets and optimization of effort.
• May also contribute to / support on project work as and when required.
• May work on implementing and delivering disaster recovery functions and tests.
• Performs any other related task as required.

Knowledge and Attributes:

• Ability to communicate and work across different cultures and social groups.
• Ability to plan activities and projects well in advance, and takes into account possible changing circumstances.
• Ability to maintain a positive outlook at work.
• Ability to work well in a pressurized environment.
• Ability to work hard and put in longer hours when it is necessary.
• Ability to apply active listening techniques such as paraphrasing the message to confirm understanding, probing for further relevant information, and refraining from interrupting.
• Ability to adapt to changing circumstances.
• Ability to place clients at the forefront of all interactions, understanding their requirements, and creating a positive client experience throughout the total client journey.

Academic Qualifications and Certifications and Tools:

• Bachelor's degree or equivalent qualification in IT/Computing (or demonstrated equivalent work experience).
• Certifications relevant to the services provided (certifications carry additional weightage on a candidate’s qualification for the role).
• Relevant certifications include (but not limited to) -
• CCNP or equivalent certification
• CCNA certification in must, CCNP in Security or PCNSE certification is good to have

·       Fortinet

·       RSA

·       Tenable

·       Trend Micro

·       F5

about the company

My client is a specialized manufacturer in the contract manufacturing space. They are a Singapore based company and with their innovative technology, this is a great brand to join at an exciting time in their development.

about the job

• Plan, coordinate and oversee all Quality Assurance activities in the Company
• Oversee the Documentation Control function for Quality Management System
• Act as the Quality Management Representative for the Company
• Develop and implement plans to collect quality data at in-process, final inspection, test and inspection stations
• Plan and execute annual Internal Audit to ensure all quality systems and procedures are effectively implemented and auditable at all times
• Develop and implement system for receipt and processing of complaints and recall of products
• Participate in all new Projects, including giving inputs from quality perspectives, performing PFMEA etc

job requirement

• Degree in Engineering or equivalent
• Manufacturing background from plastics injection medtech manufacturing environment
• Must possess ISO13485 certification

If you are interested in the position

Please include your availability, expected salary and reason for leaving current job

We regret that only shortlisted candidates will be contacted

EA: 94C3609 / Reg: R1325913

About Us:

Phridom AI - Ability Robotics is an early-stage robotics and AIcompany building the core systems behind embodied intelligence. Ourtechnologies help robots understand the physical world, learn intelligentbehaviours, and operate reliably in real environments. We’re still in stealth,but we’re already working with a select group of partners to validate oursystems in high-impact robotics applications. If you're excited to buildfoundational technologies for the next generation of robotics and wantmeaningful ownership over hard technical problems, we'd love to hear from you.

Role Overview:

As an Embodied AI Research Engineer, you'll develop the learningsystems that enable robots to understand, reason, and act in the physicalworld. You'll work at the intersection of Vision-Language-Action models,reinforcement learning, and real-world robotics, building end-to-endintelligence that translates perception into robust robot behavior. From modeldesign and training to deployment on physical robots, your work will directlyshape the capabilities of next-generation embodied AI systems operating in realenvironments.

What you'll work on

1.                         Develop and deploy intelligent algorithms for real-world roboticsystems, with a focus on Vision-Language-Action (VLA) models and reinforcementlearning (RL);

2.                          Design and implementend-to-end learning systems from perception to decision-making and control,improving generalization and task success rates in complex real-worldenvironments;

3.                          Lead or contribute to thetraining, evaluation, and deployment of VLA models in robotic applications,including data pipeline design, model architecture, and inference optimization;

4.                          Develop policy learningalgorithms using reinforcement learning (RL), imitation learning (IL), orrelated methods, ensuring stable execution on real robotic platforms;

5.                          Drive Sim-to-Real transfer,addressing challenges such as domain gaps, policy stability, and safety inreal-world deployment;

6.                          Collaborate closely withperception, simulation, and system engineering teams to close the loop betweendata, models, and system performance;

7.                          Build reproducible trainingand evaluation pipelines, and continuously improve robustness, stability, andefficiency in real-world deployments;

8.                          Stay up to date withstate-of-the-art research (e.g., VLA, Embodied AI, Foundation Models) andtranslate advances into practical robotic applications.

Technical Requirements

Must Have

1.                         PhD in Computer Science, Robotics, Artificial Intelligence, or arelated field;

2.                          Strong foundation in machinelearning and deep learning, with deep expertise in reinforcement learning (RL),imitation learning (IL), or related areas;

3.                          Experience inVision-Language-Action (VLA) or Embodied AI research or engineering;

4.                          Proficiency in at least onemajor deep learning framework (e.g., PyTorch or TensorFlow), with strongimplementation skills;

5.                          Familiarity with key roboticslearning challenges, such as policy learning, generalization, and Sim-to-Realtransfer;

6.                          Experience deployingalgorithms on real robotic systems, or a strong interest in bridging researchand production;

7.                          Strong problem decompositionskills and system-level thinking, with the ability to drive algorithmdeployment in complex systems;

8.                          Strong communication andcross-functional collaboration skills.

Nice to Have

1.                         Publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR,CVPR, CoRL, RSS);

2.                          Hands-on experience deployingalgorithms on real robotic platforms (e.g., manipulation or navigation);

3.                          Experience training oroptimizing large-scale models (e.g., foundation models or VLA models);

4.                          Experience deployingreinforcement learning in real-world systems (beyond simulation-only work);

5.                          Experience with large-scaledata pipelines, dataset construction, or automated labeling;

6.                          Experience with multimodallearning systems (vision-language-action);

Your Impact

1.                         You'll help define and deploy the intelligence stack behindnext-generation embodied robots, enabling them to perceive, reason, and act incomplex real-world environments.

2.                         Your work will bridge cutting-edge AI research and real-world roboticdeployment, transforming state-of-the-art models into reliable roboticcapabilities.

3.                         You'll advance the practical application of Vision-Language-Actionmodels, reinforcement learning, and foundation models in real robotic systems.

4.                         You'll play a key role in building scalable learning systems thatimprove robot generalization, adaptability, and autonomy across a wide range oftasks and environments.

Why Join Us

Join us at an early stage and help build the core softwareinfrastructure behind humanoid and embodied robotic systems heading towardreal-world deployment. We move fast, ship often, and give engineers meaningfulownership—so you'll learn quickly, tackle high-impact challenges, and see yourwork running on real robots outside the lab. With active business across Chinaand beyond, you'll gain unique exposure to global robotics ecosystems,customers, and partners as the company scales.

Location

This role is based on-site in Singapore, working closely with theengineering team and robotic systems.

Occasional international travel to China and other regions may berequired for training, customer engagements, deployments, and partnercollaborations.

How to Apply

Send your resume and a brief introduction outlining your relevantexperience and interest in the role to info@phridom.com.

We'd also love to see examples of simulation environments, roboticsprojects, synthetic data pipelines, or other work you're proud of.

Responsibilities

• Ensures all construction activities are completed prior to taking up the system for commissioning.
• Prepares and plans the deployment of workers to fulfill the commissioning schedule.
• Ensures the preparation of procedures and guidelines for systematic commissioning and start-up of equipment.
• Initiate and manage the commissioning by Coordinating between the company and OEM.
• Highlight operational issues with regards to machinery and equipment.
• Ensure that OEM meets the Contractual agreement accordingly.
• Audit work site regularly and ensure that proper housekeeping is adhered to.
• Supervise onsite commissioning activities
• Coordinate work with other Trades
• Prepare and maintain commission records of site observations, testing processes and checklist.
• Track and review progress through HAT meetings.
• Attend progress meeting to keep up status and close issues with customers.
• Ensures that all safety and precautionary requirements and procedures are followed during the commissioning process.
• Compile and update commissioning report/ records.
• Assist with Identification and set right commissioning and malfunction issues.
• Access the requirements of special tools and equipment required for commissioning and initiate procurement if required.
• Review the tools and equipment used for Safety and Efficiency.
• Develop and update RA accordingly and enforce on-site and conducted weekly safety briefing with supervisors and workers.

Requirements

• Degree or Diploma in Naval Architecture/Structural/Marine/Electrical/Electronic Engineering or other electrical/offshore/electronic related studies.
• Naval Institute Trained
• Shipboard or Preferably 3 years or more of working experiences in similar capacity.
• No experience can be considered for junior role.
• Knowledge of Class requirements & Quality Standard requirements
• Trade Dependent.
• Must be able to understand Marine/Electrical & Automation Systems Equipment related schematic & arrangement drawings
• Knowledge and skills in Marine/Electrical & Automation systems equipment's operational requirements.
• Adequate Computing Knowledge as well as use of Microsoft Office and e-mail.

Other Information

• Location: Benoi Road (Island-wide transport provided)
• 5 days work week
• Working Hours: 7.25am-5pm 

Job Description:

• Responsible for cutting edge technology node’s SRAM compiler design and deliver best quality of design kit.
• Seamlessly collaborate with SRAM design and layout team to achieve highest quality of design kit delivery.
• Responsible for data analysis and platform development of memory usage big data.
• Responsible for physical verification (DRC/ERC/LVS/ANT/PERC) on SRAM compiler.
• Responsible for spice simulation on timing, power and noise on SRAM compiler.
• Responsible for QA check and development on SRAM compiler.

Job Requirements:

• Bachelor or Master Degree in Electrical and Electronic Engineering or Computer Engineering or Computer Science.
• Multi-task capability and strong self-driven characteristics to meet challenging schedule.
• Proficient  with  Perl,  Shell,  Python,  C/C++  languages,  knowledge  with  AI  machine  learning algorithm and infrastructure is an added advantage.
• Strong interpersonal skills to work with team members with multi-cultural environment
• Knowledge of high performance, low power SRAM/ROM and VLSI design is an added advantage. Experience with EDA tools will be helpful.
• Candidate with experience is preferable.

PERSOL Singapore PteLtd • UEN No. 200007268E • EA License No. 01C4394 •EA Registration No.R22109454 (Malcolm Lee Jun Hao)

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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.

Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.

As a Micron Singapore Ultra Pure Water & Waste Water Treatment Engineer, you are responsible for the planning, design, construction, and commissioning of UPW and wastewater treatment systems for semiconductor manufacturing facilities. This role ensures the delivery of high-quality water systems while meeting stringent environmental, safety, and operational standards. The Engineer will work with multidisciplinary teams, coordinate with stakeholders, and oversee the implementation of these critical systems.

Key Responsibilities:
Design & Engineering Oversight:

- Lead the design and engineering of UPW and wastewater systems, ensuring compliance with semiconductor manufacturing requirements and industry standards.
- Review and approve technical specifications, layouts, and drawings for system components, including filtration, deionization, and wastewater treatment units.
- Collaborate with other engineering disciplines to ensure seamless integration of UPW and wastewater systems with the facility’s overall infrastructure.
- Evaluate emerging technologies and propose innovative solutions to improve system performance and sustainability.

Construction & Installation Management:

- Oversee the installation and construction of UPW and wastewater systems, ensuring adherence to design specifications, quality standards, and project timelines.
- Coordinate with contractors and vendors to ensure timely delivery and proper installation of system components.
- Conduct regular site inspections to monitor progress, identify challenges, and implement corrective actions.
- Manage commissioning and startup activities, ensuring systems are fully operational and meet performance requirements.

System Performance & Optimization:

- Establish performance metrics for UPW and wastewater systems and monitor their operation during and after commissioning.
- Identify and address inefficiencies or performance issues in system design or operation.
- Conduct root cause analysis of system failures and implement corrective actions to enhance reliability and efficiency.
- Develop strategies for water recycling and reuse to support sustainability goals.

Safety, Compliance, & Environmental Management:

- Ensure all UPW and wastewater systems comply with local, national, and international environmental regulations and industry standards.
- Implement safety protocols for high-risk activities, such as handling hazardous chemicals used in water treatment processes.
- Maintain environmental compliance by managing the discharge of treated wastewater and ensuring adherence to effluent quality standards.
- Conduct risk assessments and hazard analyses for system design and construction phases.

Stakeholder Coordination & Reporting:

- Act as the primary point of contact for UPW and wastewater systems, coordinating with end user, project teams, and regulatory bodies.
- Prepare and present progress reports, system performance data, and recommendations to stakeholders.
- Facilitate cross-disciplinary collaboration to ensure UPW and wastewater systems meet overall project objectives.
- Address client feedback and ensure timely resolution of concerns related to system design or operation.

Team Leadership & Resource Management:

- Lead and mentor a team of contractors working on UPW and wastewater systems.
- Develop and implement training programs to enhance team expertise in water treatment technologies and system operation.

- Foster a culture of continuous improvement and innovation within the team.

Qualifications:

• Education: Bachelor’s degree in Chemical Engineering, Environmental Engineering, or a related field.
• Experience: Minimum 6 years of experience in UPW and wastewater systems, with at least 3 years in a Waste water treatment role, preferably within semiconductor or high-tech industrial construction.
• Skills: Proficiency in water treatment design software and tools, strong leadership and project management skills, and a deep understanding of semiconductor water quality requirements.

Working Conditions:
This role requires time split between office work for planning and reporting and on-site presence during construction, installation, and commissioning. Extended hours may be necessary to meet project deadlines.

Job Overview

We are seeking an experienced Senior Data Engineer with strong expertise in enterprise Data Warehousing, Big Data platforms, Data Lake architectures, and modern cloud technologies. The ideal candidate will have hands-on experience designing and implementing large-scale ETL/ELT pipelines, data transformation frameworks, and analytics solutions within banking, financial services, or large enterprise environments.

The role requires deep technical knowledge of Apache Spark, PySpark, Hadoop ecosystems, Teradata, Cloud Data Platforms, and emerging Generative AI technologies for intelligent data processing and automation. The candidate should be capable of driving end-to-end data engineering initiatives, supporting business intelligence, analytics, regulatory reporting, and AI-enabled data solutions.

Key Responsibilities

• Design, develop, and optimize enterprise Data Warehouse and Data Lake solutions.
• Build scalable ETL/ELT pipelines using Python, Spark, and PySpark.
• Develop and maintain data ingestion, transformation, and analytical data processing frameworks.
• Implement data integration solutions across structured, semi-structured, and unstructured data sources.
• Manage large-scale data platforms using Hadoop, AWS S3, Azure Databricks, and Cloud Data Services.
• Develop data marts and business intelligence datasets for analytics and reporting.
• Implement metadata management, data lineage, and governance frameworks using tools such as Collibra and Enterprise Data Catalog.
• Design and optimize Spark SQL workloads for high-performance analytics.
• Build automated workflow orchestration solutions using Airflow, Control-M, or equivalent scheduling platforms.
• Integrate Generative AI capabilities into data engineering workflows for metadata tagging, data classification, anomaly detection, and intelligent reporting.
• Collaborate with business stakeholders, architects, data scientists, and analytics teams to deliver scalable data solutions.
• Ensure data quality, governance, security, and compliance requirements are met.
• Support production systems, troubleshoot performance issues, and maintain SLA compliance.

Required Skills

Data Engineering

• Apache Spark
• PySpark
• Spark SQL
• Python
• SQL / PL-SQL
• Hadoop HDFS
• Data Warehouse Design
• Data Lake Architecture
• ETL / ELT Development
• Dimensional Modeling
• Star Schema & Snowflake Schema

Cloud & Big Data

• AWS S3
• Azure Databricks
• GCP BigQuery
• Cloudera Data Platform
• Kafka
• Parquet
• Alluxio

Data Governance

• Collibra
• Enterprise Data Catalog (EDC)
• Metadata Management
• Data Lineage
• Data Quality Management

DevOps & Automation

• Airflow
• Control-M
• Jenkins
• GitLab
• Bitbucket
• CI/CD Pipelines

Generative AI

• OpenAI API
• Claude API
• LangChain
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• Vector Databases (Pinecone, ChromaDB)

Preferred Experience

• 10+ years of Data Engineering experience.
• Banking, Financial Services, or Insurance domain experience.
• Experience working with Teradata Data Warehouses.
• Hands-on experience in Data Lake modernization initiatives.
• Experience delivering regulatory reporting and compliance data solutions.
• Exposure to AI-enabled data platforms and intelligent analytics solutions.
• Experience supporting enterprise-scale production environment

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).

Role: Senior Architecture Engineer (Operations Services) [P4/5 Grade]

Location: Novena

Type of Role: Contract (12 months renewable)

Remuneration: Base Salary - $12,000

Renumeration: 1 month bonus upon completion of 12 months' contract (subjected to attendance, performance etc..)

Role Overview:

The Architecture Engineer will join the Operations Architecture (OA) team onsite, supporting critical infrastructure for hybrid cloud, on-premises, and network environments. The ideal candidate will design, implement, and maintain secure, highly available architecture while ensuring compliance with Government IM8 and CIS standards.

Key Responsibilities:

1. Infrastructure Design & Implementation

• Architect network solutions (routing, switching, firewalls, load balancers) compliant with IM8/CIS hardening benchmarks.
• Manage VMware virtualization (vSphere, ESXi, vCenter) and Dell EMC storage (PowerMAX, Unity, Isilon) with a focus on security, redundancy, and performance optimization.
• Configure and harden Windows/Linux servers and Oracle Solaris OS (Active Directory, Group Policy, patching, Zones/LDOMs) to meet government security requirements.

2. Database & Middleware Support

• Administer MSSQL, Oracle DB (19c+, RAC, RMAN), and NoSQL systems, ensuring secure configurations, backups, and performance tuning, including Solaris-based Oracle deployments.

3. Government Compliance & Operations

• Enforce IM8/CIS compliance across infrastructure (e.g., STIGs, audit logging, encryption) including Solaris OS hardening.
• Document architectures, security controls, and processes for accreditation (e.g., SAF, CSA) with Solaris-specific documentation.

4. Troubleshooting & Leadership

• Lead cross-domain incident resolution (network/firewall/storage/OS/DB/Solaris) in alignment with ITIL v4 practices.
• Mentor junior engineers on Solaris administration and security best practices.
• Collaborate with cybersecurity teams on system hardening (including Solaris) and vulnerability remediation.

Required Skills & Experience:

Technical Expertise

• Networking:

1. Cisco/Checkpoint/Palo Alto (firewalls, SD-WAN).
2. Protocols: BGP, OSPF, VLANs, DNS, DHCP (IM8-compliant configurations).

• Virtualization & Storage:

1. VMware (vSphere 7.x+, NSX, HA/DRS)
2. Dell EMC (PowerMAX/VMAX, Unity, Data Domain)

• Operating Systems:

1. Oracle Solaris (Zones, LDOMs, hardening, patching).
2. Windows Server 2016+ (GPO, SCCM/WSUS, SEP).
3. Linux (RHEL/CentOS) – STIG hardening.

• Database:

1. Oracle DB (19c+, RAC, RMAN, SQL tuning)
2. MS SQL (Always-On, TDE).
3. NoSQL (MongoDB, Elasticsearch)

• Soft Skills:

1. Experience in government projects (e.g., GCC, MINDEF, CSA).
2. Ability to obtain/hold CAT 2 security clearance.
3. Strong documentation (SOPs, architecture diagrams) and stakeholder communication.

Nice-to-Have

Certifications:

• Oracle Solaris Certified Administrator/Engineer
• VMware VCP-DCV, Cisco CCNP, Dell EMC Specialist.
• Security: CISSP, CompTIA Security+, CIS/IM8 Auditor.
• ITIL v4, AWS/Azure/GCP Cloud Architecture.
• Scripting: Solaris: KornShell (ksh), Bash, PowerShell/Python/Ansible for automation & compliance checks.

Qualifications:

• Bachelor’s degree in Computer Science, Information Security, or related field (or equivalent experience)
• 8 to 10 plus years of hands-on experience implement, manage and maintain secure infrastructure solutions .

For a confidential discussion, interested applicants please kindly send your updated resume, with YOUR CURRENT and EXPECTED salary details.

Senior Project Engineer

Work Location: Changi, office at (Lavender area)

Working days: 5.5 days 8am to 5pm, Alternate Saturday Full Day

Salary: $4500 to $6000 (depends on experience)

Requirements

• Diploma/Degree/ master’s in civil & engineering or equivalent, recognized universities under the BCA, possess quantity surveying skills is a plus.
• Experience in a marine construction company is favorable
• Proficient in Microsoft Office, MS Project and AutoCAD.

Job scope

• Attend meetings with client, consultants & subcontractor to ensure that all project requirements are compiled and executed accordingly.
• Develop detailed project plans, including timelines, budgets, and resource allocation.
• Coordinate with cross-functional teams to ensure project objectives are met.
• Identify potential risks and implement mitigation strategies.
• Lead a team of supervisors / engineers /workers to carry out their works accurately and timely to ensure that works on site are carried out according to client requirement.
• Manage end to end delivery of project through defined project scope, detailed project plan & seek stakeholder’s agreement for sign-off.
• Handle a few minor projects concurrently.
• Conduct regular site inspections and audits.
• Mentor and supervise junior engineers and project staff.
• Evaluate team performance and provide constructive feedback.
• Provide technical guidance and support to project teams.
• Ensure compliance with safety regulations and quality standards.
• Prepare and present project reports to management and clients.
• Monitor, track, and provide timely project progress reports to the management.
• Good knowledge and experience in building related works such as civil engineering, structural, architectural, building repair, piling, A&A, plumbing works etc.
• Other ad-hoc duties as per assigned.

Cheong Yeat Long | R25145358

The Supreme HR Advisory Pte Ltd | EA 14C7279

Key Duties

·       Lead on-site installation and deployment of Battery Energy Storage Systems (BESS)
·       Commission BESS, perform testing, and ensure successful system integration
·       Install and configure electrical distribution boards and connect systems to diesel generators
·       Perform electrical testing using multimeters, insulation testers, clamp meters
·       Interpret electrical schematics and single-line diagrams
·       Troubleshoot system faults and conduct root cause analysis
·       Monitor system performance and perform data-driven diagnostics
·       Ensure compliance with electrical codes, IEC / UL standards, and safety regulations
·       Coordinate with contractors, clients, and internal engineering teams
·       Prepare technical documentation, commissioning reports, and system records
·       Provide basic system training to clients and partners
·       Support hybrid systems (BESS + diesel generator) integration projects
·       Collaborate with product development teams to improve system performance

Requirements

·       Diploma or Degree in Electrical Engineering or equivalent
·       3 - 5 years of experience in Power Generator Field

Hands-on experience in:
- Electrical Installation and Commissioning
- Energy Storage Systems (BESS), Solar, or Generator Systems
- High-Voltage Systems and Power Electronics

Strong knowledge of:
- Diesel generators
- Electrical distribution systems
- Inverters and power electronics
- Energy storage safety practices

·       Ability to read and interpret electrical drawings and single-line diagrams
·       Experience with electrical testing equipment
·       Strong troubleshooting and analytical skills
·       Independent, hands-on, and field-oriented
·       Willing to travel regionally

Good to Have

·       Experience in hybrid power systems (BESS + diesel genset)
·       Familiarity with SCADA or remote monitoring systems
·       Knowledge of grid interconnection requirements
·       Valid electrician license or relevant certifications

Apply Now: jeffrey@oaktree.com.sg
Contact Person: Jeffrey Chua Kay Hwee
EA License No: 06C4642
EA Reg No: R1110624