Total 2,923 Senior Executive quality control engineer job vacancies in Australia

Job description

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Additional job description

As a Senior Software Engineer for the Singapore Cloud and Third Party Security team, you will be a key technical driver for our growing software engineering team. You will leverage your software development expertise to own the design and delivery of scalable, high-quality systems and products that identify and remediate security risks across Alphabet's public cloud and third-party footprint. You will work with a high degree of autonomy, collaborate closely with cross-functional stakeholders, and mentor junior engineers to help build a strong engineering culture at our Singapore site.

Qualifications

Job responsibilities

• Design, implement, and deploy critical software components and products autonomously to identify, measure, and remediate security gaps in Alphabet's public cloud and third-party vendor usage.
• Own and drive engineering milestones for specific projects within the Cloud and Third Party Security domain, ensuring high code quality, scalability, and security.
• Partner cross-functionally with Security Engineers, Technical Solutions Consultants, and partner teams to define requirements, design systems, and implement scalable security controls.
• Mentor junior software engineers in the team, fostering a culture of technical excellence, high code quality, and continuous learning.
• Identify technical debt and implement refactoring efforts to improve the overall maintainability, reliability, and complexity of engineering efforts within the team.
  

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience building software for data privacy or security (e.g., identity and access management).
• 3 years of experience testing, maintaining, or launching software products.
• 1 year of experience with software design and architecture.

Preferred qualifications

• Master's degree or PhD in Computer Science or a related technical field.
• Strong proficiency in Go or Python, with a proven track record of designing and evolving distributed systems that handle global-scale data with high availability and security.
• Track record of technical leadership, including mentoring junior engineers and driving technical alignment for small-to-medium sized projects.
• Strong background in relevant security domains, particularly in cloud infrastructure and third party security controls.
• Ability to navigate ambiguity and translate complex product/security requirements into robust technical designs.

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.

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

Job Description

• Industry/ Organization Type: Manufacturer for Semi-Con Industry
• Position Title: Sales Application Engineer / Executive – Metal Cutting Tools
• Working Location: Seletar (Islandwide)
• Working Hours: 5 days (Mon-Fri: 8am-5.30pm)
• Salary Package: Basic + VB
• Duration: Permanent

Key Responsibilities

• Understand customer needs and recommend suitable products based on their applications
• Provide technical advice on metal cutting tools such as inserts, end mills, drills, and taps
• Build and maintain strong relationships with customers, including manufacturers and suppliers
• Keep updated on product features, specifications, and applications
• Analyse customer requirements and suggest suitable cutting tool solutions
• Prepare technical proposals and quotations

APPLY NOW!!!

• Minimum Higher Nitec or Diploma in Mechanical Engineering, Manufacturing Engineering, CNC Machining, or related field
• At least 2–3 years of experience in technical sales or engineering, preferably in manufacturing or related industries
• Good understanding of metal cutting tools and their applications
• Knowledge of tool materials and coatings is an advantage
• Strong communication skills with the ability to explain technical concepts clearly
• Good problem-solving skills and ability to provide effective solutions

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #84231 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Rachael Lee | EA Reg No.: R2093131

About VSMC

VisionPower Semiconductor Manufacturing Company Pte Ltd (VSMC), a joint venture between Vanguard International Semiconductor Corporation (VIS) and  NXP Semiconductors (NXP) has started construction on a 300mm wafer manufacturing facilityin Singapore, targets automotive, industrial, consumer, and mobile end markets.

Role Summary

You will be responsible to deliver robust and efficient semiconductor manufacturing process with data driven analytics and systemic problem-solving skills in the respective modules: Etch (Dry Etch and Wet Etch); Photolithography; Diffusion; Chemical Mechanical Planarization (CMP); Chemical Vapor Deposition (CVD) or Physical Vapor Deposition (PVD)

Key Responsibilities

• Lead and ensure smooth daily manufacturing operations, promptly resolving complex issues to minimize downtime and maintain production efficiency in respective module.
• Drive cross-functional collaboration with equipment and material suppliers and partners to identify technology deficiencies; develop, evaluate, and validate corrective and preventive solutions
• Oversee the qualification and sustaining manufacturing processes, ensuring rapid capacity scale-up while maintaining high standards of quality, consistency, and operational readiness
• Continuously improve process stability and capability, enhance quality, reliability, yield, productivity, and safety standards
• Design, lead and execute experiments, analyze complex data sets, and derive actionable insights to optimize manufacturing processes and precise controls
• Implement statistical process control methods to establish and uphold robust manufacturing processes

Education Qualification & Essential Experiences

• Bachelor’s or higher degree in Electrical and Electronics Engineering, Chemical Engineering, Material Science, Physics or STEM related fields
• Minimum of 5 years of experience as an Process Engineer in respective module; Experience working in a 12'' Fab would be advantageous

Key Skills and Attributes

• Good interpersonal and communication skills to work effectively across functions and geographical teams with diverse background
• Strong analytical and problem-solving skills to achieve positive results and outcome
• Goal driven and an excellent team player that can work under pressure in a dynamic and fast-paced environment
• Has a growth mindset, prioritizing adaptability, resilience, innovation, and ongoing learning to support business needs

VSMC promotes diversity and inclusivity in our workforce; and hiring will be conducted in phases.

Purpose of Role:

As the Team Lead for Support functions to Ship Repairs projects, this person is responsible for planning, managing and deployment of manpower and relevant resources to provide support for the following functions: Painting, Cleaning, Scaffolding, Security Escort of contractors.

Responsibilities:

Scaffolding Provision

• Ensure scaffolding structures meet safety standards and are built to accommodate operational needs.
• Coordinate with other departments on timely erection and dismantling of scaffolding.

Cleaning/Painting Provision

• Understanding various methods of surface preparation, coating material and industrial standards and regulations to painting works. 
• Coordination of all painting/cleaning activities effectively and safely.

Safety & Compliance

• Ensure compliance with all relevant safety regulations, maritime laws, and company policies.
• Promote a culture of safety.
• Provide training and guidance on safety practices for all department personnel

Security

• Provide manpower to escort external contractors from point to point within client’s compound
• Ensure contractors’ compliance on security protocols within compound

Team Leadership & Management

• Lead, manage, and mentor the production team, ensuring effective communication and cooperation across various functions.
• Set performance targets, conduct performance reviews, and provide professional development opportunities for team members.
• Manage departmental schedules, ensuring optimal staffing and resource allocation.

Resource Management

• Oversee the allocation of resources (personnel, equipment, materials) for all production tasks.
• Monitor inventory levels and ensure the timely procurement of materials required for ongoing operations.
• Control department budgets, ensuring cost-effective operations without compromising quality or safety

Collaboration & Reporting

• Work closely with other department heads, Ship repair managers, and customers to ensure smooth operations and project coordination.
• Provide regular progress reports, identifying challenges and proposing solutions to senior management

Requirements:

• Degree/ Diploma in Mechanical or Marine Engineering (Dip holders with 5 years relevant working experience)
• Knowledge of painting, staging operation and able to interpret technical drawings and paint specification will be advantageous
• Demonstrated ability to lead engineering projects and manage complex technical issues
• Able to deal with and communicate with both internal and external stakeholders effectively at all levels.
• Possess man-management experience to supervise and deploy workers.
• Proficiency in MS Office
• Able to commit to overtime when required
• Able to follow and implement security, safety and shipyard disciplinary protocols and guidelines

Other Information:

• Location: Pioneer Sector (Daily Transportation Reimbursed To and Fro)
• 5 days work week
• Working Hours: 7.45am-5pm

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

THE ROLE:

You will be responsible for testing, validating, and optimizing optical transceivers to ensure high performance and reliability in fiber optic communication systems. This role involves working closely with design teams to develop validation methodologies and improve product quality.

THE PERSON

You are a detail-oriented engineer with a strong foundation in optical communication systems and a passion for innovation. You thrive in collaborative environments and are driven to solve complex technical challenges. Your hands-on experience with optical components and high-speed link validation makes you a valuable contributor to our cutting-edge silicon design team.

KEY RESPONSIBILITIES:

• You will develop and execute validation plans for optical transceivers and related components.
• Perform calibration, characterization, and testing of electro-optic transceivers.
• Set up and maintain automated test platforms for optical transceiver validation.
• Analyze test results and troubleshoot performance issues.
• Collaborate with cross-functional teams to improve product design and reliability.
• Document validation processes and generate technical reports.
• Stay updated with industry trends and advancements in optical communication technologies.

PREFERRED EXPERIENCE:

• Hands on optical components testing and high-speed links validation experiences. 
• Technical Skills: Strong knowledge of optical communication systems and fiber optics.
• Experience with Python, C, MATLAB, and data analysis.
• Ability to debug and validate hardware/electronics.
• Soft Skills: Strong analytical and problem-solving abilities.
• Excellent communication and teamwork skills.
• Experience with Silicon Photonics and high-speed optical interconnects.
• Knowledge of optical packaging and characterization techniques.

ACADEMIC CREDENTIALS:

• Bachelor's/Master’s/Ph.D. in Electrical Engineering, Optical Communications, or related fields.

LOCATION:

Singapore

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.

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.

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)

By sending us your personal data andcurriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltdand its affiliates to collect, use and disclose your personal data for thepurposes set out in the Privacy Policy available at https://www.persolsingapore.com/policies. You acknowledge that you have read, understood, andagree with the Privacy Policy.