Keyrus is an international consulting firm, specializing in the integration of data intelligence and Digital solutions. With over 3000 employees spread across 20 countries, Keyrus continues to deliver on such projects to a wide range of clients from various industries including but not limited to Banking/Finance, Healthcare/pharmaceuticals, FMCG, Oil & Gas, and more.

As part of Keyrus’ solution delivery, we are also in a position to recruit and place technical consultants to complement on existing client projects with their expertise. As such, we seek innovative and agile people to support ambitious and forthcoming technological challenges.

We are currently seeking a highly skilled Senior Eslastic/Observability Engineer (ELK) to join our client's team in Singapore. You will be responsible for managing and optimizing our network monitoring infrastructure, ensuring the stability and performance of our systems.

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
• Contribute to the Permanent Control framework for implementation of policies and procedures in day‐to‐day business activities, such as Control Plan.
• Comply with regulatory requirements and internal guidelines.
• Contribute to the reporting of all incidents according to the Incident Management System

Requirements

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

Responsibilities

• Collaborate with the production and planning teams to prioritize tooling schedules based on the current tool status and production demands.
• Provide technical support to the tool designing and sales teams, ensuring that customer requirements are met through effective tooling solutions.
• Take a leadership role in problem-solving and troubleshooting within the tooling team, identifying root causes and implementing corrective actions.
• Support continuous process improvements for tooling and work processes to enhance productivity and efficiency across the department.
• Work closely with the toolroom to identify machining needs for tooling modifications and improvements, ensuring tool readiness for production requirements.
• Oversee and guide the toolmakers, training them to enhance their skills and ensuring high-quality standards are maintained in all tooling activities.

Requirements:

• Diploma in Precision Engineering or equivalent.
• Technical qualification in Tool & Die Making or a related field.
• Ability to lead and manage a team, fostering collaboration and continuous improvement.
• Strong problem-solving skills with experience in root cause analysis and troubleshooting.

Please submit your updated resume in Word format by using the Apply Now Button.
We regret that only shortlisted candidates will be notified.

Email resume to [email protected]

People Profilers Pte Ltd, 20 Cecil Street, #08-09, PLUS Building, Singapore 049705.
Tel: 6950 9724

http://www.peopleprofilers.com
EA License Number: 02C4944
Registration Number: R1872398

Posting Personnel: Ng Jwee Ken

Ref: L739Y7RX

POSITION SUMMARY

An IT support individual is in charge of supporting end user technologies, including desktop, printers, devices and potentially network and systems of all types, providing technical support and ensuring the whole company runs smoothly. IT Support monitors and maintains the company computer systems, installs, and configures hardware and software, and solves technical problems.

JOB RESPONSIBILITIES

• Provide support for end user desktops and laptops which include but not limited to internal hardware component replacements.
• Network, Desktop & Server OS support & administration.
• Provide first level troubleshooting & installation of software or firmware applications.
• Install, support & maintain IT peripherals such as keyboard, printer, projector & others.
• Support recurring tasks such as back up, patch management, IT system monitoring, cyber-security protection from viruses and spam wares attack, etc.
• Liaise & coordinate with IT vendors/suppliers on IT purchases, projects & support IT systems
• Update IT inventory & Licences, ensuring appropriate and sufficient level of vendor support.
• Planning, developing, and maintaining SQL databases.
• Maintaining the company intranet with basic programming.
• Attend to emergency calls & weekend /off hours support.
• Any other responsibilities & ad hoc assignment as required.

JOB REQUIREMENTS

• NITEC or higher.
• Min 1 year experience in IT field works.
• Knowledge of current Windows & mobile operating systems.
• Good knowledge in IT hardware & administration support for Microsoft Windows.
• Strong analytical & problem-solving skills.
• Candidates who are familiar Microsoft Dynamics NAV/Business Central, Microsoft Windows Server, Microsoft SQL Server, ASP.NET/.NET Core will have an added advantage.

• Infrastructure setup, design, and performance should be planned, built, and optimized.
• Manage the backend information systems, such as the virtualization platform and virtual machines, network storage, backup, and fiber channel switches.
• Extensive knowledge of administering Linux. must be at the expert level
• Strong network fundamentals – IPv4/IPv6 – addressing, NAT, Routing
• Private cloud administration experience is a must – VMWare / Hypervisor
• In-depth experience in DNS, DHCP, Proxies, Linux firewalls & network security is a must.
• Maintain and Administer Security Appliances of different projects
• Design and propose a plan that will improve the hosting service of the Data Center
• Strong understanding of High Availability setup for Linux/Windows applications (etc. webs, database)
• Troubleshooting and maintenance of networks and systems
• Good to have disaster recovery planning and execution

1,Provide First Call Resolution (FCR) technical support via phone and email. Ensure calls are answered and emails are responded in a timely manner.

2. Perform first level troubleshooting on all reported incidents and escalate incidents to 2nd level resolver groups as per work instructions.

3. Furnish and submit timely updates to customers on the status of outstanding issues within targeted Service Level 4. Maintain ownership of cases and follow-up on reported issues until closure and gather accurate and complete relevant information is recorded.

5. Manage customer expectations and notify Team Lead in the event of unusual surge in calls of a specific nature.

6. Handle initial classification/ prioritization of the incidents. Track the progress of resolution and provide regular updates for follow-up actions and incident status.

Defines and develops the value proposition to lead the formulation and definition of AI use case objectives and technical requirements based on user needs, an understanding of business value industry requirements and machine learning and statistical models.

Conceptualizes, builds, develops, and enhances a client's analytical models. Determines the right modeling techniques to answer the use case, available structured and unstructured data, cost and timing constraints to solve the large and complex business issues and delivers compelling and clear business focused insights.

Works with large scale computing frameworks, data analysis systems, and modeling environments. Embeds AI and analytic models into enhanced large-scale business processes and operational systems by collaborating with Application Developers and Infrastructure Architects.

As a recognized subject matter expert and authority, applies analytics methods and adds value to problem domains.

Influences a client's strategic decisions by using deep industry expertise and deploying innovative AI solutions in the operational systems.

Education And Experience Required

• PhD degree in Computer Science, Engineering, Mathematics, Physics or related field with 5+ years of relevant experience.
• OR Master´s Degree in these areas and at least 8 years of relevant experience.

Knowledge and Skills

• Extensive knowledge of data science and data engineering methodologies including but not limited to classical regression, machine learning, deep learning, association rules, sequence analysis, cluster analysis, computer vision and natural language processing.
• Extensive knowledge of Python and expertise with deep learning frameworks such as PyTorch and TensorFlow.
• Experience with large scale training and inference, and machine learning pipelines in production systems.
• Knowledge of Generative AI and Large Language Models, including prompting and finetuning techniques.
• Understanding of software engineering methodologies and design patterns, as well as IT enterprise architectures (containers and container orchestrations solutions, cloud solutions).
• Ability to translate business requirements into mathematical models and data science objectives to achieve measurable business outcomes.
• Advanced communication and presentation skills.
• Strong analytical and problem-solving skills.
• Excellent interpersonal skills and effectiveness in working across geographical boundaries.

Business Acumen:

• Relates risks and challenges the customer should expect to encounter with the solution with other client efforts or projects (use of internal knowledge of organization; trusted advisor relationship).
• Develops Architecture Specification deliverables that map customer business requirements into complete information systems (technologies, processes and people) or operational solutions.
• Ability to consistently apply business management and financial concepts, capital investment, financial modeling, and general aspects of business contracts. Use this knowledge to analyze business needs and develop meaningful business recommendations.
• Ability to apply knowledge of how the industry uses IT to address business challenges using, for example, technical standards and infrastructure, cross-industry trends that impact IT investment, industry-specific roadmaps, and IT enablers.
• Ability to perform business process analysis/synthesis using modeling or simulation tools and techniques, such as workflows and diagrams to show interrelationships of multiple processes, tracking instances/characteristics of process elements.

Technical:

• Broad IT industry knowledge with depth in multiple areas.
• Has pulse on future technology or operational trends as they relate to and support customer business directions ("trusted advisor" role).
• Broad knowledge of IT and business standards and best practices and how to apply them appropriately in solutions.
• Expert or Master level of knowledge of multiple technologies or IT disciplines.
• Able to design planning for accessibility, scalability, and availability.

Engagement Delivery:

• Ability to write Statements of Work for large enterprise or global level solutions that span multiple technologies or operational areas.
• Ability to apply program/project management methods and processes to define, plan, cost, resource, track and ensure the accomplishment of targeted goals for large enterprise or global level projects.
• Successfully works on project teams (individual success defined by how the organization works as a team, including resource and skill sharing across the organization).

Opportunity Pursuit:

• Able to play a leadership role in business development activities for large, complex opportunities.
• Lead in identifying, qualifying, and closing large, complex opportunities.
• Positions the company offering against the competition.
• Is able to provide the company with the voice of the account.
• Play key role in preparing proposals and bids for large, complex opportunities.
• Manage internal reviews and contribute to solution governance processes for large, complex opportunities.
• Build rapport and trust with client.
• Demonstrates excellent consultative, solution selling skills.

Leadership:

• Collaborates effectively with the project manager to manage regional and global projects as necessary. For architectures of project scope may include the technical management of customer staff assigned to implementation team.
• Plays a leading role in the AI & Data Science profession at both local and regional level.
• Makes consistent and ongoing high quality contributions (at least 4 per year) to the company knowledge systems that are recognized by the AI & Data Science and Architect professions to represent best practice.
• Makes formal recommendations to improve the level of job satisfaction for other company employees working on the project.
• Can significantly contribute in the development of new company services and modifications to the methodology.
• Leads in development and delivery of training.
• Coaches and mentors junior level individuals within the AI & Data Science and Architect professions.
• Leads in the definition of the company unit's processes, standards, and policies.

Consulting:

• Build and manage long-term, strategic relationships at CEO and CIO level.
• Excellent customer influence and negotiation skills.
• Ability to strategically consider all sides of an issue within the contexts of time, breadth, and range of options.
• Ability to systematically gather, assess and apply critical organizational, technical, operational, and sales/marketing information for business decisions.
• Ability to prepare clear, concise, and persuasive communications for multiple audiences, including demonstrating effective writing and presentation skills, listening actively, and projecting a credible image.
• Ability to articulate technical or operational problems into understandable business terms appropriate for the audience.

Communication:

• Able to design and present high-impact messages to customer's Executive level management.
• Able to use a wide variety of presentation tools to persuasively communicate complex messages to multiple audience levels, including Executive level management.
• Ability to use prepared and create complete original materials to communicate with the customer. Communicates mostly strategic information and some tactical information.
• Has excellent speaking and writing skills with proven capability to represent the company at external customer and industry events.

Our company is at the forefront of innovation in financial technology. Our mission is to develop AI-driven strategies that predict market trends.

We're looking for talented individuals to join our newly founded trading team in our Singapore office as Machine Learning Developers with a specialization in predictive finance.

Responsibilities:

• Develop and implement machine learning predictive models.
• Collaborate closely with team members to create data-driven trading strategies and algorithms.
• Conduct research on academic literature.
• Explore various data sources to craft insightful features for machine learning models.
• Continuously improve and monitor the performance of the ML models.
• Stay up-to-date with the latest trends in machine learning.

Qualifications:

• Bachelor’s, Master’s, or Ph.D. in Computer Science, Mathematics, or a related field.
• Experience: 5+ years of experience in machine learning.
• Technical Skills: Proficient in Python, R, TensorFlow, PyTorch, or similar machine learning frameworks.
• Financial Acumen: Interest in financial markets, trading, and economics. A deep understanding of these subjects is strongly preferred but not required.
• Problem-Solving: Outstanding problem-solving skills with the ability to apply machine learning techniques to complex market data.
• Communication: Strong verbal and written communication skills to work effectively within our collaborative team.

Preferred Qualifications:

• Experience with time-series analysis and forecasting.
• Knowledge of the financial industry and experience working with big data.
• Independent research experience.

Position Summary:

This position requires in-depth technical understanding and rich practical experience in data security, risk mitigation technology, and R&D engineering. Through the R&D, integration, and implementation of data security engineering, we will implement a data security operation platform for supporting data security operations, privacy and compliance teams to identify, assess, and mitigate risks. The candidate should be familiar with software engineering industry standards and best practices, and be able to effectively collaborate with multiple parties, including Big data team, technology R&D, and other security departments.

Responsibilities:

• Facilitate risk analysis, data security requirements, and technology roadmaps with Tech & security teams, ensuring compliance with industry and regulatory standards (e.g. CCPA, PDPA).
• Collaborate with security teams across regions to develop strategies and execute projects based on compliance and data protection needs to safeguard customer and enterprise data.
• Responsible for the data security engineering and solutions end-to-end, from technical design, R&D development, implementation, and commercial system integration.
• Implement data security operation platforms including data discovery, classification, de-sanitization, compliance control, and leakage prevention.
• Integrate commercial data security tools such as endpoint DLP, cloud DLP, CASB, data discovery and classification, and privacy DSR platform, ensuring alignment with EU data protection regulations.
• Ensure that data security measures integrate seamlessly with company-wide security strategies and contribute to the overall security posture.

Skills and Qualifications:

• Data Security Proficiency: Practical working knowledge of data security solutions including data discovery, classification, de-identification, and leakage prevention using tools such as endpoint DLP, cloud DLP, CASB, and Privacy DSR tooling.
• Software Development Experience: At least 5 years of solid experience in software development, with a preference for expertise in Java.
• Database and Applications: Familiarity with relational databases like MySQL and applications such as Redis, MQ, and Elasticsearch.
• Big Data Technologies: Knowledge of big data related technologies like Flink, Storm, Kafka, etc., is preferred.
• Education Level: Bachelor’s Degree
• Field of Study: Computer Engineering, Computer Science, Information Technology, Cybersecurity, or related fields.
• Certifications: Relevant cybersecurity certifications such as CISSP, CISM, CISA, or PMP are highly desired.

• Mon-Fri 8.30AM to 5.30PM
• Tuas
• $3500 - $6000

Requirements:

• Bachelor’s degree in mechanical engineering or related field
• Minimum 3-5 years of related industry experience in project sales with a strong track record
• Strong technical skills in engineering design, analysis, and testing

Job scope:

• Follow up with site walk and client enquiry for the new job or project and work together with project engineer and manager for the quotation and tender submission, ensuring purchase order is secured.
• Coordinating with engineering, construction and liaise with the client on detail engineering requirements.
• Prepare quotation, budget plan and submission to have approval from project engineer or manager.
• Prepare method of statement, lifting plan and work schedule to provide safety personnel to prepare risk assessment.
• Prepare MTO and raise MR for all materials required for the project.
• Responsible for equipment installation, structure installation, piping erection operations and pipe support installation in accordance with schedule, procedures, specifications, priorities and availability of construction drawings.
• Handling all the technical queries and investigating all the work related problems, including the drawing of field sketches when necessary.
• Review of Project specification, ISO drawings and P&ID.
• Responsible for counter checking by ISO drawings, P&ID and GA drawings for the correct location, orientation, alignment and plumpness.
• Carrying out final P&ID check of installed piping systems in the module. Preparation of “AS BUILT” drawings.
• Responsible for carrying out mechanical clearance, conducting hydro and pneumatic tests, fulfilling commissioning and Pre-Commissioning requirements for the project.
• Responsible for line checking after hydro testing or pneumatic testing to complete the post punch list prior to sign-off the test packages before signing the completion of piping / mechanical.
• Ensure that all punch list items are resolved; client handover is satisfactorily concluded and that there is no prolongation of project.
• Take prompt corrective and preventive action to remove any quality issue, any unsafe elements and unhealthy conditions at site.
• Sales Cycle Management: Conduct the full sales cycle, including lead generation, follow-up, service delivery, and transaction closure.

WhatsApp: +65 9642 0989 (Han)

Email: [email protected]

Chaw Chiaw Han, Reg No：R22106723

The Supreme HR Advisory Pte Ltd, EA No：14c7279

• Experience in writing automated test cases in a programming language like Java, Python, Selenium.
• Experience in writing SQL queries to validate data.
• Degree in Computing / Computer Science / Engineering preferred.
• Experience in writing SQL queries to validate data.
• Experience in HPQC, JIRA and Agile methodology.
• Familiar with Behaviour Driven Development (BDD) including use of tools such as JBehave & Cucumber.
• Have a solid understanding of software testing concepts, methodologies, and techniques.
• Proficient in using various testing tools, frameworks, and technologies relevant to functional, performance, security, and test automation tools.
• Be able to analyse requirements, design test cases, and identify defects or issues in software applications or systems.
• Excellent communication skills and team player.

• Have a solid technical skill with diversity of thought and creative solutions that are in the best interests of our customers globally.
• Develop, test, and debug automated tasks (Apps, Systems, Infrastructure)
• Troubleshoot priority incidents, facilitate blameless post-mortems.
• Work with development teams throughout the software life cycle ensuring sustainable software releases.
• Perform analytics on previous incidents and usage patterns to better predict issues and take proactive actions.
• Build and drive adoption for greater self-healing and resiliency patterns.
• Lead and participate in performance tests; identify bottlenecks, opportunities for optimization, and capacity demands.
• Adhere to firm-wide architecture standards, risk management and security policies.
• Team player and ability to work in Global Team setup, product owners and business team to develop, build & support application.
• Communicate and collaborate on development items with global team, as well as raise/work to resolve issues impacting development.
• Postproduction application support
• Participate in quality assurance, peer reviews and code reviews Qualifications.
• Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
• A successful history of manipulating, processing, and extracting value from large datasets.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• Strong understanding of DevOps practices, tools, and techniques.
• Degree in Computer Science/ IT or other related fields
• Experienced deploying application in a containerized environment using Docker/Kubernetes/PCF/Openshift/AWS etc.
• In-Depth OS experience (RHEL, Ubuntu, Windows Server) with strong debugging, troubleshooting, and problem-solving skills.
• Experience in site reliability engineering in one of the following languages: Python, Java, PowerShell, shell scripting.
• Hand-on experience with cloud-based technologies and tools especially in deployment, monitoring and operations, such as Prometheus, Splunk, Elasticsearch, Grafana
• Strong working knowledge of modern development technologies and tools such Agile, CI/CD, Git, Terraform and Jenkins.
• Good understanding of networking protocols and cybersecurity best practices in public cloud environment
• Advanced working SQL knowledge and experience working with RDBMS, Hadoop, and NoSQL DB.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Build processes supporting data transformation, data structures, metadata, dependency, and workload management.

• Experience in writing automated test cases in a programming language like Java, Python, Selenium.
• Experience in writing SQL queries to validate data.
• Degree in Computing / Computer Science / Engineering preferred.
• Experience in writing SQL queries to validate data.
• Experience in HPQC, JIRA and Agile methodology.
• Familiar with Behaviour Driven Development (BDD) including use of tools such as JBehave & Cucumber.
• Have a solid understanding of software testing concepts, methodologies, and techniques.
• Proficient in using various testing tools, frameworks, and technologies relevant to functional, performance, security, and test automation tools.
• Be able to analyse requirements, design test cases, and identify defects or issues in software applications or systems.
• Excellent communication skills and team player.

Our client a large financial institution is looking for a highly skilled NetworkEngineer to join their team. You will be responsible for designing, implementing network as well as providing production support on mission critical network

Key Responsibilities:

• Design and implement network solutions that meet the organization's network and security requirements.
• Contribute expertise towards a proposed technical solution and will work with internal colleagues to define the roadmap and milestones.
• Provide level 3 support, assisting with troubleshooting and design, configuration, and escalated problem management.
• Maintain uptodate knowledge of industry trends and best practices in network technology and security.
• Configuring routers, switches, firewalls, and other networking devices to ensure optimal performance and security.
• Proactively monitoring network performance, identifying issues, and implementing solutions to minimize downtime and disruptions
• Maintaining accurate network documentation, diagrams, and operational procedures.
• Providing regular reports on network health, performance, and security.

Requirements:

• Bachelor's or Master's degree in Computer Science, Information Technology, or related field.
• Minimum 3 years experiance in routing and switching (Cisco, Juniper), and wireless networking( Cisco, Aruba)
• Knowledge of TCP/IP, routing protocols (e.g., BGP, OSPF)
• Strong analytical skills to troubleshoot complex network issues, identify root causes and perform remediation activities.
• Working knowledge of standard ITIL process, Incident, Change, Problem and configuration management.
• Preferred certifications such as Cisco Certified Network Associate (CCNA), Cisco Certified Network Professional (CCNP), or equivalent industry certifications.Good level of understanding in complex troubleshooting and resolving issues with clients
• Excellent problem-solving and analytical skills.
• Strong communication and interpersonal skills.
• Proven solution architecture and design experience

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

The candidate is expected to carry out the following job scope and assume the following responsibilities at Whitby Wood Mills:

Technical Leadership:

• Lead and manage multidisciplinary project teams, ensuring the timely and high-quality delivery of engineering design projects.
• Provide advanced engineering expertise in design, analysis, and innovative problem-solving for complex projects.

Computational Design & Coding:

• Develop and implement parametric models and algorithms using coding skills (e.g., Python, Grasshopper, Dynamo) to optimize and automate design processes.
• Ensure seamless software interoperability across platforms (e.g., Rhino, Revit, Tekla) for improved collaboration and project integration.

Finite Element Analysis (FEM):

• Perform and validate detailed Finite Element Analysis (FEA) to assess structural performance under various load cases using software like Abaqus.
• Use analysis results to drive technical decisions and improve design accuracy and safety.

Project Management & Planning:

• Develop and implement detailed project plans, including scope, timelines, resource allocation, and budgeting.
• Identify and manage project risks by developing effective mitigation strategies.
• Monitor project budgets, ensuring financial performance and delivery within budget constraints.

Client & Stakeholder Management:

• Serve as the primary point of contact for clients, maintaining strong relationships throughout the project lifecycle.
• Participate in business development activities, including proposal preparation, client acquisition, and presentations.

Technical Detailing & Documentation:

• Prepare and review detailed construction drawings, specifications, and calculations for submissions to relevant authorities (e.g., BCA, LTA) or for international projects.
• Ensure compliance with local, national, and international regulations and standards in all project designs and deliverables.

Design Review & Quality Assurance:

• Review and approve engineering designs, calculations, and technical specifications prepared by project teams.
• Ensure that all projects meet the firm’s quality standards and comply with client requirements and safety protocols.

Mentorship & Training:

• Mentor junior engineers and design staff, offering technical guidance and support for professional development.
• Develop and implement training programs to enhance the skills and knowledge of the engineering team, including computational tools and software interoperability.

Technology Integration & Process Improvement:

• Stay updated on the latest engineering technologies and tools, integrating them into project workflows where appropriate.
• Identify and implement process improvements to enhance project delivery, efficiency, and innovation.

Proposal Preparation & Market Analysis:

• Contribute technical expertise to proposals and bids, analyzing market trends and client needs to identify new opportunities for expanding the firm’s services.

Sustainability Practices:

• Promote and incorporate sustainable design practices, ensuring that projects meet environmental and client objectives.

Liftoff is the leading growth acceleration platform for the mobile industry, helping advertisers, publishers, game developers and DSPs scale revenue growth with solutions to market and monetize mobile apps.

Liftoff’s solutions, including Accelerate, Direct, Influence, Monetize, Intelligence, and Vungle Exchange, support over 6,600 mobile businesses across 74 countries in sectors such as gaming, social, finance, ecommerce, and entertainment. Founded in 2012 and headquartered in Redwood City, CA, Liftoff has a diverse, global presence.

About our Production Engineering Team:

Liftoff’s Production Engineering team play a pivotal role in shaping the future of our product delivery. You'll immerse yourself in a data-rich environment where your expertise will directly influence the enhancement of developer workflows, ensuring that every product and feature we release is not only reliable and efficient but also resonates with scale. It's more than just a job; it's about making a tangible impact in a team that values collaboration and innovation without the noise of industry buzzwords.

Responsibilities

• Learn and participate in end-to-end ownership to one of Liftoff's core backend infrastructure, including large scale real-time data processing pipelines and high-performance front end servers.
• Improve tooling and infrastructure to ship multiple times a day with quantified impact on millions of users and our business's revenue.
• Be part of an “engineering excellence” culture through state-of-the-art tools, risk-driven testing, explainable systems and code review.
• Become an expert in cutting-edge open source technologies (Kubernetes, Prometheus, ArgoCD and etc) that maximize software development velocity.
• Participate in architecting, building and maintaining infrastructure reliability of large scale, high-throughput, low-latency distributed systems.
• Together with other engineering teams, you will share an on-call rotation and be an escalation contact for service incidents.
• Pro-actively learn and seek mentorship from more senior members of the team

Requirements:

• BS in Computer Science with 2+ years of professional experience, or
  MS in Computer Science with 1+ years of professional experience, or equivalent for mid level
  We are also open to new grads with BS / MS in Computer Science for entry level
• Deep understanding of computer architectures, data structures, and algorithms;
• An incredible desire for quality and perfection, and the ability to temper it when necessary to ship.
• Knowledge of profiling and debugging distributed microservices is a plus
• Experience building monitoring for modern microservice architectures is a plus
• Experience building CI/CD for large distributed systems or backend architectures (preferably on Kubernetes) is a plus
• Have good team communication and collaboration skills.
• Passionate about helping others and invested in the team’s success
• Good at English (speaking, reading and writing)

Bonus:

• Experience in SRE / DevOps roles.
• Understanding of various security standards, protocols and implementation details.
• Previous professional experience writing in Golang, Java, Scala, Python, NodeJS, C or C++.
• Experience with Multi-Cloud Computing (AWS, GCP, Azure, etc.).
• Experience with Kubernetes/Openshift.
• Experience with large scale SQL/NoSQL databases (Redshift, Postgres, Redis, Mongo, Elasticsearch)
• Experience with large scale messaging / streaming systems (RabbitMQ, Kafka, Spark)
• Fluency in Mandarin is a plus, as we have clients and teams based in China. Having proficiency in the language will be an added advantage.

Liftoff offers all employees a full compensation package that includes equity and health/vision/dental benefits associated with your country of residence. Base compensation will vary based on candidate location and experience. The following is our salary range for this role in Singapore: 85,000 - 105,000 SGD

#LI-JH1

We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on January 22, 2024.

Liftoff is committed to providing and maintaining a work environment where all employees and candidates are treated with dignity and respect and that is free of bias, prejudice, and harassment. Liftoff is further committed to providing an equal employment opportunity for all employees and candidates for employment free from discrimination and harassment on the basis of sex, gender (including sexual harassment, gender harassment, and harassment due to pregnancy, childbirth, breastfeeding, and related conditions), sexual orientation, gender identity, gender expression, gender nonconformity, race, creed, religion, color, national origin, ancestry (including association, affiliation, or participation with persons or activities related to national origin, English-proficiency or accent, or immigration status), physical or mental disability, medical condition(s), genetic information of an individual or family member of the individual, marital or domestic partner status, age, veteran or military status, family care status, requesting or taking pregnancy, parental or disability leave, requesting an accommodation, or any other characteristic protected by federal, state, or local law, regulation, or ordinance. All such discrimination and harassment is unlawful and will not be tolerated. Liftoff maintains a continued commitment to equal employment opportunity and expects the full cooperation of all personnel.

Liftoff's Compensation Strategy

Liftoff's compensation strategy includes competitive market rate along with equity and benefits and perks that will give our employees what they need to do their best work. In order to ensure teams are compensated fairly for the work performed, we map out specific levels and take into consideration the cost of labor within each location. Liftoff provides employees a total compensation package of competitive market salaries, equity, health and wellness stipends, medical benefits associated with your country of residence. The base compensation will vary based on location, experience as well as level.

Agency and Third Party Recruiter Notice:

Liftoff does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or Recruiting Team. All candidates must be submitted via our Applicant Tracking System by approved Liftoff vendors who have been expressly requested to make a submission by our Recruiting Team for a specific job opening. No placement fees will be paid to any firm unless such a request has been made by the Liftoff Recruiting Team and such a candidate was submitted to the Liftoff Recruiting Team via our Applicant Tracking System.

The Sales Engineer will work hand-in-hand with Sales, Product, Engineering, and Marketing, and will be responsible for providing technical expertise to make Snowflake customers successful. The sales engineer will have a broad range of skills and experience ranging from data architecture to ETL/ELT, data science, security, performance analysis, analytics, etc. You will have the insight to make the connection between a customer’s specific business problems and Snowflake’s solution, the customer-facing skills to communicate that connection and vision to a wide variety of technical and executive audiences, and the technical skills to be able to not only build demos and execute proof-of-concepts but also to provide consultative assistance on architecture and implementation.

The Sales Engineer has the willingness to jump in and do what it takes to make Snowflake and our customers successful. It means keeping up to date on the ever-evolving technologies for data and analytics in order to be an authoritative resource for both Snowflake and customers. You will work collaboratively with a broad range of people, both inside and outside the company.

RESPONSIBILITIES:

• Present Snowflake technology and vision to executives and technical contributors at prospects and customers
• Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation
• Maintain a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them
• Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing
• Be an advocate and develop mutual trust with the technical audience on the customer side

MINIMUM REQUIREMENTS:

• Minimum 10-12 years of experience working in customer facing sales engineering (tech pre-sales) role
• Strong competency on modern data stacks, ETL/ELT, data warehouse/lake, data science and data apps
• Outstanding skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
• Hands-on expertise with SQL (Python knowledge would be a bonus)

STRONGLY DESIRED:

• Data Science knowledge and experience
• University degree in computer science, engineering, mathematics or related fields, or equivalent experience
• Software development experience with Java, Spark and other scripting languages
• Extensive knowledge of and experience with large-scale database technology (e.g. Netezza, Exadata, Teradata, Greenplum, Hadoop etc.) and cloud data platforms
• Experience and track record of success selling data and/or analytics software to enterprise customers; includes proven skills identifying key stakeholders, winning value propositions, and compelling events
• Sound understanding and experience in the Singaporean market and technology ecosystem

ADDED BONUS FOR:

• Strong Data Science/AI/ML experience across a variety of platforms
• Familiarity and experience with common BI and data exploration tools (e.g. Tableau, PowerBI, Metabase etc)
• Cloud Provider Experience - Amazon AWS, Microsoft Azure, and Google Cloud
• Experience using AWS or Azure native services such as AWS S3, AWS Glue, AWS SageMaker or Azure Blob Storage, Azure Data Factory, Azure Database Migration Services
• OLAP Data modeling and data architecture experience
• Experience selling enterprise SaaS software
• Proven success at enterprise software start-ups

Responsibilities

• Collaborate with the production and planning teams to prioritize tooling schedules based on the current tool status and production demands.
• Provide technical support to the tool designing and sales teams, ensuring that customer requirements are met through effective tooling solutions.
• Take a leadership role in problem-solving and troubleshooting within the tooling team, identifying root causes and implementing corrective actions.
• Support continuous process improvements for tooling and work processes to enhance productivity and efficiency across the department.
• Work closely with the toolroom to identify machining needs for tooling modifications and improvements, ensuring tool readiness for production requirements.
• Oversee and guide the toolmakers, training them to enhance their skills and ensuring high-quality standards are maintained in all tooling activities.

Requirements:

• Diploma in Precision Engineering or equivalent.
• Technical qualification in Tool & Die Making or a related field.
• Ability to lead and manage a team, fostering collaboration and continuous improvement.
• Strong problem-solving skills with experience in root cause analysis and troubleshooting.

Please submit your updated resume in Word format by using the Apply Now Button.
We regret that only shortlisted candidates will be notified.

Email resume to [email protected]

People Profilers Pte Ltd, 20 Cecil Street, #08-09, PLUS Building, Singapore 049705.
Tel: 6950 9724

http://www.peopleprofilers.com
EA License Number: 02C4944
Registration Number: R1872398

Posting Personnel: Ng Jwee Ken

Ref: L739Y7RX

Company's Profile
Julian Grey’s client is a global semiconductor equipment provider, specializing in inspection solutions for various industries. They have offices in APAC and are seeking motivated individuals to join their growing team.

Responsibilities

• Support the selection and design of components for inspection systems.
• Accurate documentation and supplier compliance with specifications.
• Provide troubleshooting support and manage the integration of new designs into manufacturing processes.

Requirements:

• Proficient in CAD software for electrical and schematic design.
• Experience in designing, fabricating, and testing PCBs and PCBAs is beneficial

Follow us for more updates, interview tips!
https://www.instagram.com/juliangreygroup/
https://www.linkedin.com/company/juliangreygroup/
https://www.facebook.com/juliangreygroup/
Our telegram channel for job opportunities - https://t.me/jobopportunitiessg

Interested Applicants
Please WA Jian Wei @ 87389860
Shortlisted candidates will be notified

Quek Jian Wei
Reg No. R22110928
Julian Grey Corporate Advisory Pte. Ltd.
EA License No: 19C9568

Company's Profile
Julian Grey’s client is a global semiconductor equipment provider, specializing in inspection solutions for various industries. They have offices in APAC and are seeking motivated individuals to join their growing team.


Responsibilities:

• Offer technical support to field service engineers and customers as needed.
• Assess and define performance specifications for vision systems.
• Oversee customer-specific projects and associated documentation.
• Provide technical documentation and training as necessary.
• Contribute to product improvement initiatives.

Requirements:

• 1-3 years’ experience in Engineering discipline
• Vision/Optical Inspection system knowledge; semiconductor manufacturing experience

Follow us for more updates, interview tips!
https://www.instagram.com/juliangreygroup/
https://www.linkedin.com/company/juliangreygroup/
https://www.facebook.com/juliangreygroup/
Our telegram channel for job opportunities - https://t.me/jobopportunitiessg

Interested Applicants
Please WA Jian Wei @ 87389860
Shortlisted candidates will be notified

Quek Jian Wei
Reg No. R22110928
Julian Grey Corporate Advisory Pte. Ltd.
EA License No: 19C9568

Marine Engineer Responsibilities:

• Conducting research and tests to inform the design and construction of marine vehicles and equipment.
• Preparing technical reports such as research, systems diagnostics, and design analysis documentation.
• Presenting layout and engineering designs to clients and team members for analysis and feedback.
• Supervising all aspects of the design process for structural, mechanical, and electrical systems.
• Overseeing the construction of marine vessels and equipment to ensure their quality and integrity.
• Performing quality control inspections and tests on all systems and equipment and installing upgrades, as needed.
• Ensuring adherence to safety precautions and project timelines.
• Training and supervising engineering teams including designers, mechanics, and construction staff.
• Performing maintenance on marine vehicles and equipment.
• Investigating and diagnosing technical issues and implementing effective repairs.

Marine Engineer Requirements:

• Bachelor's degree in marine engineering or similar.
• Relevant USCG engineer license.
• Professional engineer (PE) certification preferred.
• A minimum of four years' experience as a marine engineer or similar.
• Experience with engineering design software such as AutoCAD, Rhino 3D, and SOLIDWORKS.
• Sound knowledge of maritime software such as HMI and PLC control systems.
• Familiarity with maritime HM&E systems and naval construction processes.
• Experience with a variety of engineering processes including mechanical, electrical, and software.
• Excellent analytical thinking and problem-solving abilities.
• Physically fit and able to work in strenuous circumstances and harsh weather conditions.

Salary: Up $3000+OT

Industry: Engineering

Located at Chai Chee

Japanese MNC

Have AWS + Bonus + Yearly increment

Job Description

• Perform, document internal audits and other quality assurance activities to ensure readiness on international standards certification audits and GMP inspection.
• Create, review work instructions and standard operating procedures, devise sampling procedures and directions for recording and reporting quality data.
• Communicating with other team members to solve problems.
• Conduct / perform training to employees to improve GMP / international standards certification awareness and compliance.
• Other duties as and when assigned by management.

Requirements

• Diploma in Engineering
• Able to write simple report

Applications:

Please submit a copy of your updated CV in MS Word format stating to [email protected]:

• Current Salary
• Expected Salary
• Date of Available and Reason for Leaving

All applicant will treated private and confidential

Emily Fong

Senior Talent Specialist

Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443

EA Personnel Reg No.: R1768368

About EPAM :

EPAM is a leading global provider of digital platform engineering and development services. EPAM has been expanding in Singapore since 2013 and delivering the best solutions to our customers. As a recognized leader, EPAM Singapore achieved Great Place to Work® Certification in 2023 and is committed to providing our team with inspiring careers. You will have the opportunity to work with fellow talented technologists and accelerate your career by participating in our numerous upskilling, training, and certification programs. That is why EPAM Singapore was awarded Gold for Best In-House Certification Programmes in the Employee Experience Awards 2023 and Silver in the SkillsFuture Employers Awards 2022 for our efforts in championing employees' skills development and building a lifelong learning culture at the workplace. You can also look forward to developing holistically with the multiracial festivals and various wellness and cultural activities organized by our passionate colleagues here.

Why EPAM?

· By choosing EPAM, you're getting a job at one of the most loved workplaces according to Newsweek 2022 & 2023.

· Employee ideas are the main driver of our business. We have a very supportive environment where your voice matters.

· You will be challenged while working side-by-side with the best talent globally. We work with top-notch technologies, constantly seeking new industry trends and best practices.

· We offer a transparent career path and an individual roadmap to engineer your future & accelerate your journey. · At EPAM, you can find vast opportunities for self-development: online courses and libraries, mentoring programs, partial grants of certification, and experience exchange with colleagues around the world.

You will learn, contribute, and grow with us.

What You’ll Do :

· Lead the design, development and implementation of data pipelines, transformations and aggregations to support analytics and machine learning initiatives

· Collaborate with cross-functional teams to define data requirements and translate them into robust and scalable solutions

· Optimize Spark jobs for performance and scalability, ensuring efficient data processing and indexing in Elasticsearch

· Design and deploy data engineering solutions on OpenShift using containerization and orchestration techniques · Implement and maintain CI/CD pipelines for data engineering workflows, ensuring platform stability and efficient resource utilization

· Monitor and optimize data pipeline performance, troubleshoot issues and implement necessary enhancements · Establish and maintain data quality and integrity throughout the data processing lifecycle

· Document data engineering processes, workflows and infrastructure configurations

· Stay abreast of emerging technologies and best practices in data engineering and DevOps

· Mentor and guide junior team members, fostering a culture of continuous learning and innovation

What Will Make You Shine :

· Bachelor's degree in Computer Science, Data Engineering, Information Technology, or a related field

· 7+ years of experience as a Data Engineer with expertise in Hadoop, Spark, and related technologies (HDFS, Hive, Ranger)

· Strong proficiency in Spark, Python, Scala, or Java for data engineering tasks

· Experience with containerization (Docker, Kubernetes) and orchestration platforms like OpenShift

· Knowledge of DevOps practices, CI/CD pipelines, and automation tools (Jenkins, Ansible, BitBucket)

· Experience with monitoring and logging tools (Grafana, Prometheus, Splunk) is a plus

· Strong problem-solving, troubleshooting, and communication skills

· Ability to work effectively in a fast-paced, collaborative environment

· Experience with cloud platforms (AWS, Azure, GCP) is a plus.

How We Hire Here,

we summarize the typical journey to finding a job within EPAM:

1. Apply and tell us about yourself

2. Go through some standard interviews:

·General interview with a recruiter

·Technical interview with our technology experts

· Manager interview or Offer interview with a hiring manager

3. Get ready to join the team Not sure if you meet all the requirements?

No problem. Let’s talk anyway and find out more.

It takes 1 min of application to start the journey with us. Apply now!

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

In this role, the engineer works on optimizing the e2e stack for model training and inference for large scale recommendation models. The opportunities are from distributed systems, to model/system co-design, to GPU system optimizations.

We are looking for someone who has previous experiences on high performance infrastructure and performance optimization. We need the candidate to not only identify and lead the execution for short/mid term opportunities for perf/efficiency optimization, but also drive long term strategies on things like model/system co-design, performance automation, etc.

RESPONSIBILITIES

• Hands on driving performance and efficiency optimizations by identifying and delivering the large optimizations across MRS models and systems.
• Drive XFN collaborations and alignments with multiple partner or product ML teams.
• Lead technical directions and roadmap for the SGP perf and efficiency team.
• Providing mentorship and guidance to grow junior engineers on the team

MINIMUM QUALIFICATIONS

• BS/MS in Electrical Engineering, Computer Science or a related field or equivalent experience.
• 7+ years of experience on AI Infra or System performance.
• Hands on experiences on deep system performance optimization, for example, distributed systems, or high performance GPU/GPU systems, or memory/cache optimizations.
• Strong written and verbal communication skills to align XFN and driving team execution
• Previous experiences on mentoring and growing junior engineers as either a tech lead or a manager.
• Strong debugging skills in complex systems that are across multiple components or sub-systems.

PREFERRED QUALIFICATIONS

• Hands on experiences on large scale AI infra system (for example, GPU training system)
• Experiences on large models training and inference such as LLM or recommendation models.
• Experiences 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.

Our client provides advanced instruments and systems designed for high performance across various industries.

• Prepare service and spare parts quotations to customer inquiries.
• Build and maintain strong customer relationships to ensure high-quality service and support.
• Perform in-house repairs and on-site commissioning for gas and water quality analysers, CEMS, and AQMS, troubleshoot issues.
• Collaborate with customers to address service concerns and offer technical solutions.
• Support the project team in conducting FAT and SAT and deliver product training to end users and distributors.

Requirements:

• Degree in Mechanical Engineering/Environmental Science Engineering or equivalent.
• At least 2 years of experience in the analytical instruments.
• Good knowledge of gas analyzers, CEMS, and water quality analyzers.
• Customer-oriented with a positive attitude, along with excellent planning and time management skills.

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: R1326740

Job Summary:We are seeking a skilled Senior Network Engineer to manage and support enterprise network operations, ensuring network reliability, security, and performance. The ideal candidate will possess strong technical expertise in network infrastructure, incident management, and troubleshooting, with a focus on network security and project support.

Key Responsibilities:

Network Operations & Support:

Monitor, configure, and maintain network devices including routers, switches, and firewalls.

Handle incident management, service requests, and change management processes.

Troubleshoot and resolve network-related issues efficiently.

Ensure network infrastructure security by applying ACLs, NAT/PAT, and VPN configurations.

Project Support:

Assist in network upgrade and deployment projects.

Collaborate with senior engineers on network design, configuration, and implementation.

Provide technical support for project execution and closure.

Technical Expertise:

Implement routing protocols such as RIP, EIGRP, OSPF, and BGP.

Apply network monitoring tools and protocols like SNMP, IPSLA, and ManageEngine.

Conduct regular firmware and patch updates on network devices.

Collaboration & Documentation:

Work closely with cross-functional teams to ensure seamless network operations.

Maintain updated technical documentation, including network diagrams and incident reports.

Required Qualifications:

Bachelor's degree in Electronics & Communication Engineering or related field.

Certifications: CCNA (Required) | CCNP (Preferred) | ITIL V4 (Preferred).

Experience: Minimum of 8+ years in network infrastructure and IT service management.

Skills & Competencies:

Proficiency in networking technologies: Cisco, Palo Alto, FortiGate.

Strong troubleshooting, problem-solving, and analytical skills.

Familiarity with IT service management and incident management processes.

Excellent communication, documentation, and teamwork abilities.