Day to day operation of managing, administration of all cisco switches and Clearpass on customer site.

• Support operations such as production networks in a hyper-scale and heterogeneous environment.

• Perform deep dives on complex technical issues across networks, ranging from automated tooling to hardware failures and network issues.

• Anticipate potential operational risks and develop strategies to mitigate/minimize.

• Participate and improve escalation and emergency response with detailed postmortem while addressing issues systematically to prevent future occurrences.

• Align with cross-functional relationships with Network Engineering, Systems Engineering, Traffic, Logistics, Program Management, and OEM partners to deliver superb operational results and manage the performance of external vendors.

• Escorting of vendors when needed.

Requirements:

• Degree/Diploma in IT / Computer Science / Engineering or equivalent

• Experience in a System Integration environment and/or implementing Network systems is a plus

• Familiar and experienced in Palo Alto Firewall and Clearpass

• Certification in Network related products will be a plus.

• Good interpersonal and communication skills with ability to explain technology from a customer perspective

• Strong analytical and problem-solving skills.

• Good communication, team player and written skills.

• Positive working attitude and passionate in information security

Mandatory Skills Cisco Router

Preferred Skills Cisco Catalyst Switch, Alcatel-Lucent FortiNet Series, Palo Alto Networks Firewall, Fortinet

Manage network changes through established change request process & provide status reports to the relevant parties.

• Respond promptly to incident, investigate & provide temporary &/or permanent resolution of incidents escalated. Provide timely status updates to relevant parties and 24/7 support.

• Conduct root cause analysis & implement pro-active measures. Monitor effectiveness of implemented measures.

• Monitor & measure the performance & availability of network devices proactively; implement corrective actions identified to improve performance & availability.

• Monitor the agreed service level (.e.g. service request, system availability), document & maintain the configuration of the network devices; provide regular reporting to relevant parties.

• Plan & implement service continuity measures, i.e., backup/restore procedures & disaster recovery plan, to ensure continuous operation of the business.

• Provide network related technical advice to customers or project team.

• Ensure the management of network infrastructure adhere to established ISO20000 and ISO27001 processes/ procedures, ITIL best practices and methodologies where applicable.

• Manage network resources and schedule for network implementation /operation activities

• Established facility management standards/best practices to ensure operation consistency across project/facility management teams

We're seeking a Pre-Sales Engineer who can expertly translate complex technical solutions into compelling business value for stakeholders at all levels.

The Mission (Should You Choose to Accept It):

As a Pre-Sales Engineer, you'll be the technical storyteller who demonstrates how the AI-driven vulnerability assessment and penetration testing solutions outsmart tomorrow's security challenges. Think of yourself as part ethical hacker, part solution architect, and part trusted advisor.

What You'll Actually Do:

• Orchestrate proof-of-concept demonstrations that make security executives lean forward in their chairs
• Transform complex technical capabilities into compelling business solutions
• Lead technical deep-dives that showcase our AI-powered VAPT platform
• Partner with customers to architect solutions that defend their digital assets
• Influence product technical roadmap by being the voice of the customer

You'll Love This Role If...

• You get excited about finding security vulnerabilities (ethically, of course)
• You can explain complex technical concepts to both CISOs and sys admins
• You believe AI is gonna change cybersecurity
• You enjoy the thrill of the closing a technical sale
• You're energised by live demos (even when things don't go as planned)

Experience required:

• 2 to 3+ years of hands-on technical experience in cybersecurity
• Battle-tested experience in penetration testing or red team operations
• Track record of technical sales success in enterprise environments
• Security certifications like CISSP, CWASP, OSCP or equivalent
• Bachelor's degree in Computer Science or related field

About the client:

They're not just another security company. We're pioneering the fusion of AI and security validation, helping organizations stay ahead of evolving threats. Here, your expertise won't just solve today's security challenges – it will shape tomorrow's security solutions.

To find out more about this opportunity, please contact Jerry Qiu at [email protected]

We regret that only shortlisted candidates will be notified.

GMP Technologies | EA Licence : 11C3793 | Jerry Qiu | Registration No: R1219180

• Perform operation, installation, and monitoring of big data platforms
• Ensure the reliability and normal operation of multiple core systems for big data and online computing, resolving issues within the agreed SLA
• Evaluate infrastructure requirements for deployments and upgrade activities
• Develop and maintain technical documentations related to design, configuration, troubleshooting, backup, DR, etc
• Ensures deployment and operations of the data platform comply with prevailing security, regulations and audit requirements
• Provide recommendations on data governance practices and in-depth optimizations best practices

Requirements:
primary skillset: DevOps and system engineers in Unix
• Solid computer software basic knowledge; understand Linux operating system, storage, network IO and other related principles
• Familiar with one or more programming languages, such as Python/Go/Java/Shell/Ansible
• Experience with Cloudera, Informatica, or Denodo and its runtime components would be highly advantageous
• Relevant computing/distributed/big data system experience (Hadoop/HDFS /Kubernetes/Docker/OpenStack/Hadoop/Spark/Flink,etc.) would be advantageous
• Good data structure and system design skills highly preferred
• Good knowledge of information security highly

EA License No: 11C4879 / Registration ID : R1218583

Apar Technologies Pte Ltd, Singapore

Job Responsibilities:

1. Responsible for the system architecture, cost optimization, and system maintenance of Tencent's overseas technical platform.

2. Ensure high availability of Tencent's overseas account storage.

3. Optimize monitoring and improve the efficiency of Tencent's overseas technical platform.

4. Communicate and coordinate across teams both internally and externally.

Job Requirements:

1. Bachelor's degree or above in Computer Science or related fields, with 5 or more years of SRE or operations experience, preferably in the gaming industry.

2. Proficient in Unix/Linux operating systems, familiar with Shell/Python scripting languages, with development experience preferred.

3. Extensive experience in managing cloud service platforms, familiar with Kubernetes technology.

4. Familiar with MySQL/Redis databases, with database management (DBA) experience, capable of designing reasonable high-availability DB solutions based on mainstream cloud services and providing daily maintenance.

5. Strong sense of service, good logical thinking, excellent communication skills, teamwork spirit, and the courage to take on challenging work.

Responsibilities: 

• Design and implement scalable data platforms 
• Develop and maintain ETL pipelines 
• Maintain and review database schema design and performance tuning 
• Ensure Database and Data platform high availability and disaster recovery, including backup and restore. 
• Classifying and labelling sensitive data elements and collaborating with security and compliance teams to enforce data protection policies.
• Implementing and monitoring access controls to ensure data security and confidentiality. 
• Monitoring and assessing data quality through processes such as profiling, validation, and cleansing.
• Collaborating with data owners and stewards to define and enforce data quality standards promptly. 
• Establishing clear policies, standards, and procedures to ensure consistent and high-quality data across the organization. 
• Working closely with internal stakeholders from cross-functional teams to understand data requirements and business processes.
• Acting as a liaison between business and technical teams to promote a collaborative approach to data governance. 
• Ensuring compliance with relevant data protection regulations, industry standards, and internal policies.
• Conducting regular audits to assess adherence to data governance policies and recommending improvements as needed.

Requirements 

• Bachelor's degree or equivalent in Computer Science or related field. 
• Proficiency with ETL tools and data analytics platforms 
• Minimum 5 years of experience In data engineering. 
• Experience with data warehousing and data modeling 
• Experience with DBA tasks such as performance tuning, backup and recovery 
• Experience with scripting (Python/Scala) for automation 
• Experience with change data capture and data replication 
• Familiar with cloud-based infrastructures (AWS/Azure/GCP)

• Design, deploy, and manage containerized applications and infrastructure to ensure reliability and scalability across development, staging, and production.
• Oversee and configure cloud resources, including compute, storage, networking, and security, to support multi-cloud infrastructure.
• Streamline build, test, and deployment processes to support continuous integration and delivery across multiple environments.
• Enforce security best practices across cloud, CI/CD, and virtualized environments to safeguard applications and data.

Requirements:

• Degree in Computer Science or equivalent.
• Cloud certified
• At least 3 years of relevant working experience
• Proficient in Python or other programming languages for automation.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to [email protected]

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R21100996

Role Summary:

Develop Java applications for Calypso v14+, support production release roadmaps, and troubleshoot issues. Requires expertise in Java, PL/SQL, Linux, and experience with Calypso v13+. AGILE methodology experience is essential.

Responsibilities:

• Develop in Java for Calypso v14+.
• Support the release roadmap in production.
• Troubleshoot and fix issues.

Qualifications:

• Excellent understanding of Java, PL/SQL, and Linux.
• Experience with Calypso versions higher than v13.
• Proven track record in AGILE methodologies.

Job Responsibilities

• Independently or with minimum supervision to carry out Design Safety Philosophies, Specifications for fire protection systems (active & passive), data sheet for firefighting systems
• Develop UFDs, PIDS for the fire protection systems and carry out Fire water/foam demand calculations (incl. Gas suppression system), and Firewater system Hydraulic check analysis
• Prepare Hazardous Area Classification Source release schedule and Drawings, Fire Zone drawings, Safety & Fire Fighting equipment layouts, Escape route drawings, Safey Signs Drawings, Firefighting Nozzle coverage shadow drawings.etc
• Participate in Process Hazard reviews and analysis including HAZOP/HAZID/SIL studies(when needed) and support in Actions close-out
• Under minimum supervision or independently, carry out the design of Active and Passive Fire Protection packages (including preparing requisitions, datasheets, TBE.etc) and PFP schedule documents
• Support in reviewing/consolidating comments and coordinating third party studies, including FERA, dispersion analysis, EERA, ESSA, dropped objects study, TRIA, ship collision study, QRA studies, etc. (not limited to)
• Support in TBE and vendor document reviews in Mechanical/Electrical/Instrument packages on safety (including HFE) aspects
• Provide inputs, including Human Factors Engineering, for projects as required
• Interface/coordinate with other Engineering disciplines to resolve technical matters related to safety aspects
• Interact/coordinate with Designers and provide inputs for safety layout preparations for projects as required

Job Requirements

• Bachelor's Degree in Chemical Engineering or equivalent from an accredited university
• Minimum of 7 years of HSE Engineering experience (Process Safety/Risk Analysis/Loss Prevention Engineering) in the Oil and Gas industry
• Experience in design projects for Offshore (FPSO/Platforms) and Onshore (Refineries, LNG facilities, Storage terminals etc) is required
• Possess good knowledge of International Codes and Standards, Regulatory codes and standards (DNV/ ABS) and the ability to influence designs to achieve optimal HSE outcomes
• Familiar with plot plan reviews, HAZID, HAZOP, SIL classification/ verification and other safety reviews (e.g.SIMOPS, ALARP) is preferred
• Good working knowledge of PIPENET, Flaresim and other consequence modelling software such as DNV PHAST etc is required
• The candidate should be a good team engineer and have proactive inter-discipline communication skills

Job Responsibilities:

• Carry out design safety philosophy, HSE Plan, and specifications for fire protection systems (active and passive), HFE, etc
• Participate in process hazard reviews and analysis, including HAZOP/HAZID/SIL studies, and be responsible for actions close-outs
• Responsible for reviewing third party safety studies, including FERA, dispersion analysis, EERA, ESSA, dropped objects study, QRA studies, etc. (not limited to)
• Carry out similar safety studies independently, if required
• Carry out independent design of active and passive fire protection systems and prepare Hazardous/H2S Area Classification documentation, safety and fire fighting layouts, escape route and life-saving equipment layouts, and other safety drawings
• Carry out safety critical elements performance standards, RAM, fire and gas detection mapping, etc., based on project requirements
• Act as Package Engineer for safety and fire fighting, life-saving equipment
• Manage and guide team Engineers and Designers
• Provide health and environmental inputs (including health risk assessments such as chemical exposure, noise and lighting, ergonomics/Human Factors Engineering, environmental impact assessments, etc.) to projects
• Interface/coordinate with other Engineering disciplines and clients, and take the lead in resolving technical matters related to safety aspects
• Able to deliver project safety deliverables as per project schedule
• Provide inputs and support to projects in all safety aspects, including progress reports

Job Requirements:

• Bachelor's Degree in Chemical Engineering or equivalent from an accredited university
• Minimum of 12 years of HSE engineering experience in the Oil and Gas industry, in process safety/technical safety, and preferably worked 1-3 years in a Lead position on similar projects
• Involved in design projects for offshore (FPSO/Platforms) and onshore (Refineries, LNG facilities, Storage terminals, etc.)
• Should have worked on a minimum number of offshore projects (FPSO/Platforms)
• Possess good knowledge of Oil and Gas process facilities, local and international process safety codes and standards (e.g., NFPA, EI15, etc.) and regulatory/marine codes and standards (MODU, SOLAS, DNV/ABS/Lloyds Register)
• Should have hands-on experience in plot plan review, HAZID, HAZOP, SIL classification/verification, and other safety reviews (e.g., SIMOPS, ALARP)
• Good working knowledge of PIPENET Vision, Flaresim, and other consequence modeling software such as DNV PHAST, etc., is needed
• Ability to influence designs to achieve optimal HSE outcomes
• A team player with leadership potential and proactive inter-discipline communication skills

Our client is setting up new Gen AI team and is seeking a highly motivated and talented AI Developer to join their new AI dev team

Responsiblities :

• Write clean, efficient and well-documented code in Python, and utilize LLM to generate content and carries out automation
• Research and implement the latest AI/ML algorithms and techniques.
• Design, develop, and deploy high-quality AI/ML models
• Develop AI applications including APIs, with focus on scalability, observability and efficiency.
• Work closely with business stakeholders, data scientists, and other development team to ensure seamless integration of GenAI models into applications.
• Work effectively in a fast-paced, dynamic team environment

• Required Experience:
• 6+ years of experience in software development, with at least few years of experience in building AI related application
• Expert-level experience in Python with good experience in LLM.
• Experience with Cloud (AWS or Azure)
• Hands-on working experience in various API protocols including RESTful API and data pipeline
• Familiarity with database technologies such as DynamoDB, NoSQL, PostgreSQL, or MySQL.
• Strong problem-solving skills and ability to work independently or in a team environment.

Interested candidates please email your latest resume to [email protected]

Salt is hiring Machine Learning Engineer for a yearly renewable contract role. The client’s team make an impact by delivering high-quality cutting-edge AI & IoT products which are closely integrated with the business

Responsibility:

• Implement and maintain machine learning algorithms and edge AI models provided by the data scientist team on Android based IoT devices.
• Integrate machine learning models and optimise performance on Android platforms.
• Work on video and audio processing using machine learning techniques on Android devices.
• Develop sensor data processing algorithms for the applications on Android platforms.
• Provide technical support for product and operations teams.
• Write related technical documentation and contribute to patent applications

Requirements:

• Bachelor’s degree in computer science, Electronic Engineering, or related fields, with 3+ years of experience in machine learning (framework layer & system services related).
• Proven track record of developing machine learning models and algorithms on Android platforms for successful commercial products or projects.
• Proficient in Java, Kotlin, or C/C++ languages, with good programming habits and large-scale software development experience.
• Familiar with Android kernel, including interrupt processing, memory management, process scheduling, device drivers, etc.
• Experience with Android system issue analysis and solving, including deadlock, crash, performance optimization, and low power optimization.
• Proficient in machine learning frameworks such as TensorFlow Lite, PyTorch Mobile, or similar

If this role sounds like your ideal job move, please reach out to me, Jaya at [email protected] alternatively you may apply via the system!

Regret only shortlisted candidates will be notified.

CEI No: R1659595 / EA No: 07C3147

Your new company

My client (West area) is a world-leading provider of automation technology and innovative solutions for factory automation, process automation, and mobile machinery.

Your new role

They are seeking a talented Optical Systems Designer to create cutting-edge photoelectric sensors that drive innovation. As a key member of their cross-functional team, you'll collaborate with experts in electronics, mechanics, and other disciplines to design, develop, and deliver game-changing optical systems.

Below are some of the key responsibilities for the role;

• Envision and design optical systems that push the boundaries of what's possible
• Utilize industry-leading optical design software (e.g., ZEMAX, Optical Studio) to craft precise optical systems
• Develop and execute comprehensive test plans to ensure flawless performance
• Collaborate with colleagues to integrate optical systems with electronic and mechanical components
• Drive continuous improvement and innovation across our product lifecycle

What you'll need to succeed

The successful candidate, should have;

• Master's or Bachelor's Degree in Electronic/Optoelectronic Engineering or equivalent
• Proven experience in optical system design using optical design software
• Strong foundation in photonic design for optical sensors (plus point)
• Excellent interpersonal, analytical, and problem-solving skills
• Self-driven, creative, and eager to learn and grow

What you'll get in return

• Be part of a forward-thinking company that's consistently delivering breakthroughs and advancements
• Opportunities to work with diverse teams and customers on a global perspective
• Access to cutting-edge technology and tools, enabling you to develop and manufacture complex semiconductor products

What you need to do now

If you believe you meet the specified requirements or know a suitable candidate, please click the link to apply. Alternatively, you may submit your application or referral directly to [email protected].

If this role isn't quite suitable for you, but you're interested in exploring new opportunities, I invite you to contact me for a confidential career consultation. I'm here to help you navigate your next career move.

EA Reg Number: R21102304 | EA License Number: 07C3924 | Company Registration No: 200609504D

The MRS ML Infra team is focusing on ML Infra performance and efficiency for both large scale AI training and inference workflows in the recommendation domain.

In this role, you will work on optimizing the e2e stack for model training and inference for large scale recommendation models, with opportunities coming from the domains of distributed systems, model/system co-design, GPU optimizations, and more.

While the core of day-to-day work and key responsibility will be to identify and lead the execution for short/mid term opportunities for efficiency optimization, you will also drive long term strategies and shape team direction on things like model/system co-design, performance automation, regression detection and mitigation, etc.

Responsibilities

• Identify performance opportunities and bottlenecks across a wide range of MRS models, infrastructure and systems.
• Implement changes to capture efficiency improvements.
• Guide other engineers both inside and outside the team to execute on efficiency and performance opportunities, issues and bottlenecks.
• Drive cross-functional collaborations and alignments with multiple partner or product ML teams.
• Define technical direction(s), strategy and roadmap for the team.
• Provide mentorship and guidance to grow other teammates.

Minimum Qualifications

• BS/MS in Electrical Engineering, Computer Science or a related field or equivalent experience.
• 5+ years of experience in AI Infra or System performance.
• Hands-on experience in optimizing complex software solutions, such as distributed systems, large scale CPU/GPU clusters, or similar.
• Demonstrated experience in driving team execution and reaching alignment with cross-functional partners
• Previous experience in mentoring and growing software and/or machine-learning engineers as either a tech lead or a manager.
• Capacity to investigate and debug issues in complex systems, including ones spanning multiple components or sub-systems

Preferred Qualifications

• Hands-on experience with large-scale AI infra systems (for example, GPU training clusters)
• Experience in training and/or inference solutions for large models (e.g. recommendation models or LLMs).
• Experience in high performance computing including communication optimization, CUDA kernel optimization, distributed training and inference, etc.

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

• Design, deploy, and manage containerized applications and infrastructure to ensure reliability and scalability across development, staging, and production.
• Oversee and configure cloud resources, including compute, storage, networking, and security, to support multi-cloud infrastructure.
• Streamline build, test, and deployment processes to support continuous integration and delivery across multiple environments.
• Enforce security best practices across cloud, CI/CD, and virtualized environments to safeguard applications and data.

Requirements:

• Degree in Computer Science or equivalent.
• Cloud certified
• At least 3 years of relevant working experience
• Proficient in Python or other programming languages for automation.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to [email protected]

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R21100996

Your Role

As a Lead Data Engineer, you will spearhead the development and optimization of our data infrastructure to enable advanced analytics capabilities. Collaborating with cross-functional teams, you will ensure seamless integration and delivery of robust, scalable, and efficient data solutions. In this leadership role, you will mentor and guide a team of engineers while contributing to the strategic direction of the organization’s data landscape.

Key Responsibilities

• Data Engineering & Development:Design and implement large-scale data processing pipelines using Spark Scala, handling structured and unstructured data.
  Integrate Elasticsearch with Spark for efficient indexing, querying, and data retrieval.
  Optimize Spark applications for performance and scalability, ensuring minimal latency and high throughput.
  
• Containerization & Orchestration:Deploy data solutions on OpenShift Container Platform (OCP) using containerization and orchestration techniques.
  Optimize workflows for containerized environments and ensure efficient resource utilization.
  
• DevOps Integration:Collaborate with DevOps teams to streamline deployment using CI/CD pipelines and tools such as Jenkins, Bitbucket, and Ansible.
  Implement robust monitoring and logging frameworks using tools like Grafana, Prometheus, and Splunk to maintain platform stability.
  
• Collaboration & Stakeholder Management:Work with data scientists, analysts, and infrastructure engineers to understand requirements and translate them into technical solutions.
  Communicate technical designs and processes effectively to both technical and non-technical stakeholders.
  
• Leadership & Mentorship:Lead and mentor a team of data engineers, fostering a culture of continuous learning and innovation.
  Advocate for best practices in data engineering, DevOps, and cloud technologies.
  
• Documentation & Research:Document workflows, pipelines, and configurations to ensure team knowledge sharing.
  Stay abreast of emerging technologies and best practices in data engineering and cloud infrastructure.
  

Requirements

• Education:Bachelor’s degree in Computer Science, Data Engineering, Information Technology, or a related field.
  
• Experience:Minimum of 10 years in data engineering roles with expertise in Hadoop, Spark, and related tools (e.g., HDFS, Hive, Ranger).
  Hands-on experience with OpenShift Container Platform (OCP) and container orchestration tools like Kubernetes.
  Proven track record of building and scaling data infrastructure in large, complex environments.
  
• Technical Skills:Proficiency in programming languages such as Scala, Python, or Java.
  Deep understanding of DevOps practices, including CI/CD pipelines and automation tools like Docker, Jenkins, and Ansible.
  Familiarity with monitoring and logging tools such as Grafana, Prometheus, and Splunk.
  Exposure to cloud platforms (AWS, Azure, GCP) and their data services is a plus.
  
• Soft Skills: Exceptional problem-solving abilities and a proactive approach to resolving technical challenges.
  Strong communication and collaboration skills to work effectively across diverse teams.
  Ability to balance multiple priorities and deliver high-quality results in a dynamic environment.
  

Preferred Qualifications

• Experience in cloud-native data services (e.g., AWS Redshift, Azure Data Factory, GCP BigQuery).
• Knowledge of advanced analytics and machine learning pipelines.

Responsibilities

· Install and administrate the servers of the SIEM Infrastructure

· Develop automation on the different tasks and self-service tool

· Participate to the integration of new technologies logs

· Support logs parsing using custom parser/GROK development.

· Project management

· Be a full time member of the Production CSIRT / SIEM Engg team and participate to the various activities of the team

Technical Skills

Production experience across the following technologies:

- Working knowledge of Elastic stack (Elasticsearch / Logstash / Kibana / Beats) including data ingestion, management, monitoring & analytics. (Mandatory)

- In-depth experience with Kafka

- Good working knowledge of Linux (RedHat/Ubuntu)

- Programming skills (Python or Bash) is appreciated.

- Experienced production support engineer

- Platform integration skills are a plus - Experience in installation, configuration, documentation and administration of multiple pre-production and production platforms in both virtual and physical environments.

- Experience & skills in automation tools (e.g. Ansible) & DevOps pipelines are appreciated

The Talent

- Degree Holder

- Min 7 years of working experience with minimum 4-5 years on relevant scope ie. Expertise in handling ELK stack for large platform or architecture.

We regret that only shortlisted candidates will be notified.

Please kindly send in your updated CV (please include your current salary package with full breakdown and expected salary) to [email protected]. Your interest will be treated in strict confidence.

People Profilers Pte Ltd

DID: 6950 9738

http://www.peopleprofilers.com

Lim Yi Tian, Candy

EA License No. 02C4944
Registration No. R1109829