Total 713 failure analysis engineer job vacancies in NTU Main Campus, Singapore

About the team Our Search Team is responsible for building and owning one well-known app's search engine, which provides our users the best search experience. On the app's Search Team, you’ll have the opportunity to build a full-stack search engine system and combine information retrieval technology with modern machine learning methods from related fields such as NLP, Computer Vision, Multimodal, and Recommender Systems. We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving.

Responsibilities

• Optimize the searching quality to provide app's's users the best search experience

• Combine your understanding of product objectives and take full advantage of modern machine learning, NLP and Multimodal techniques to improve the search ranking algorithms, including query understanding, video understanding and various levels of result ranking.

Qualifications

• Bachelor degree or above in the field of computer science or a related technical discipline

• Must have relevant experience in search/recommendation

• Proficient coding skills and strong algorithm & data structure using C++/Python/Java

• Experience in one or more of the following areas: NLP, Ranking, Ads, Search engine, Recommender System, and Machine Learning

• Effective communication and teamwork skills.

We're committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. Our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

We are seeking an Android Intern to join the Transaction team to provide a platform in optimising the core services for reliable, scalable and effective order checkout, transaction and payments. We abstract the underlying complexities and enable every product line to deliver an amazing ordering experience.

Responsibilities:

• Gain exposure by working in a cross-functional product team to create solutions and apps focused on our different customers’ needs, across global and APAC markets.
• The opportunity to learn about cutting-edge programming practices using Kotlin.
• Hands-on experience working with MVVM architecture.
• Understanding & implementing SOLID principles.
• Write clean, testable, scalable and maintainable code that complies with foodpanda’s standards and best practices.
• Experience working on foodpanda's world-class technology platform and learning the day-to-day activities that power it.
• First-hand experience in building and operating high-scale services that serve millions of users.

Key Responsibilities:

·        Develop and maintain the user interface using React/UI for a seamless user experience.

·        Work with Python (preferred) or Java for backend development.

·        Handle email communication systems using SMTP.

·        Design and implement APIs using Swagger, REST, or SOAP protocols.

·        Manage the server-side environment with expertise in Unix/Linux.

·        Log and monitor applications using Elastic logging (ELK).

·        Work with databases like MongoDB or PostgreSQL for efficient data management.

·        Utilize Postfix for managing email services and configurations.

·        Collaborate with teams to ensure software aligns with banking/financial industry requirements.

Skills Required:

·        Front-End: React/UI

·        Back-End: Python or Java

·        SMTP, API Development (Swagger, REST, SOAP)

·        Unix/Linux experience required

·        ELK Stack (Elastic Logging)

·        Database: MongoDB or PostgreSQL

·        Postfix

·        Functional Understanding of Banking/Financial Systems

We are seeking a dynamic Backend Software Engineer to join the Incentives team to provide a platform to offer the most relevant incentive to the right customer at the right time via the right channel to drive business growth.

Responsibilities:

• Designing and implementing the features which will be used across the global platform.
• Manage project priorities, deadlines and deliverables within autonomous teams.
• Contributing to designing and evolving the system architecture to meet current needs and support future growth and technologies.
• Enforcing coding standards and conducting thorough code reviews to maintain high-quality codebase. Implement automated testing frameworks to catch bugs early and ensure software reliability.
• Work in a cross-functional and international team to deliver a holistic solution.
• Good understanding and independent application of cloud environment, CI/CD, testing and validation.
• Independently applies design patterns and best practices in reliability management (resiliency, autoscaling, monitoring, alerting).
• Identifying and resolving complex technical issues in software and infrastructure, continuously optimising for performance and scalability.

We are looking for a strong DevOps candidate to join our DevOps team which manages our DevSecOps infrastructure and works with application teams to automate software deployments. Other than BAU work, the team also works on projects to enhance, optimize and transform the infrastructure.

Key Responsibilities

• Coding and developing new DevOps scripts automation with CI/CD pipelines through Jenkins, Cloudbees, Bitbucket, etc

• Supporting and maintaining full stack DevOps toolsets. (Jira, Confluence, Bitbucket, Cloudbees, Jenkins, SonarQube, Nexus IQ, Fortify)

• Able to code, script, automate, innovate full DevOps automation capabilities to enhance and elevate automation from manual human tasks

• Always able to find ways to automate, develop scripts, innovate new ideas to reduce human work and repetitive tasks.

• Deep knowledge on DevOps tools API automation capabilities

• Troubleshoot, deep dive RCA and fix DevOps platform issues

• Supporting DevOps toolsets running on AWS, container clusters and Kubernetes.

What we are looking for

• Deep experience as a DevOps or DevSecOps practitioner in a critical Production environment
• Deep technical experience in server-side Unix/Linux/PowerShell scripting
• Prior working experience installing, configuring, integrating, upgrading and patching CI/CD toolset
• Prior experience is customizing JIRA and Setting up confluence spaces.
• Passionate about cloud infrastructure, CI/CD pipelines and automation
• Ability to easily pick up new technologies: you are keen to learn and to expand your knowledge
• Customer centricity: you always go above and beyond to deliver a first-class service to your users
• Highly proficient with Linux Systems Administration and network fundamentals (IPv4, TCP, UDP, DNS, HTTP, TLS, routing, load-balancing)
• Proficient with AWS VPC, EC2, IAM, S3, EKS, EFS
• Proficient with ELK, Grafana and Ansible
• Proficient with Terraform, Docker/containers and Kubernetes

Join Our Dynamic Team as an Electrical Engineer!

Are you ready to take your career forward with a company that will value your resourcefulness, analytical and problem solving skills? If you enjoy working in a collaborative and high performing team, we want to hear from you!

In this role, you will 

• Lead various electronics subjects – product testing, failure analysis, engineering improvements, quality, and reliability matters. 
• Develop test plan & procedures, conduct hand-on tests on SWPS products, circuits, and components. 
• Collect test data, generate test report, and maintain good documentation. 
• Design test systems with software and hardware to achieve test automation. 
• Conduct FMEA to identify critical and high-risk electronic design, perform evaluation test and risk mitigation. 
• Conduct root cause analysis, identify failure mechanism, derive countermeasures. 
• Collaborate with cross functional teams to sustain product lifecycle

Assurity Trusted Solutions (ATS) is a wholly owned subsidiary of the Government Technology Agency (GovTech). As a Trusted Partner over the last decade, ATS offers a comprehensive suite of products and services ranging from infrastructure and operational services, authentication services, governance and assurance services as well as managed processes. In a dynamic digital and cyber landscape, where trust & collaboration are key, ATS continues to drive mutually beneficial business outcomes through collaboration with GovTech, government agencies and commercial partners to mitigate cyber risks and bolster security postures.

We are looking for a Cloud Infrastructure Engineer (Kubernetes, Redhat Openshift) to join us! This will be on a 3 year contract (subjected to extension).

You will be working on:

• Design, deploy, and optimize Kubernetes clusters using the Nvidia software stack to support large language model applications. 
• Collaborate with cross-functional teams to integrate Nvidia GPU resources effectively within Kubernetes environments, ensuring optimal performance. 
• Implement and manage infrastructure as code (IaC) for Nvidia GPU configurations, focusing on scalability and high availability. 
• Monitor, troubleshoot, and resolve issues related to both Kubernetes clusters and Nvidia GPU resources to maintain a reliable and performant infrastructure. 
• Stay abreast of industry best practices and emerging technologies related to Kubernetes and the Nvidia GPU ecosystem. 
• Work closely with development teams to automate deployment processes, leveraging Nvidia GPU capabilities, and streamline workflows. 
• Implement security best practices to safeguard Kubernetes environments, Nvidia GPU resources, and sensitive data. 
• Participate in on-call rotation and provide timely response to incidents, minimizing downtime for language model applications. 
• Contribute to capacity planning and performance tuning activities, considering the demands of large-scale language model applications utilizing Nvidia GPU acceleration. 
• Document infrastructure configurations, processes, and procedures, facilitating knowledge sharing and team member onboarding. 

To succeed in this role, you will ideally have:

• Proven experience in designing, implementing, and managing on-premises infrastructure solutions.
• Strong knowledge of server virtualisation, storage systems and network infrastructure.
• Hands-on experience with cloud-native technologies and deployment strategies.
• Proven experience designing, deploying, and managing Kubernetes clusters such as SUSE Rancher, RedHat OpenShift
• Strong understanding of containerization concepts such as Docker, orchestration tools like Kubernetes and Nvidia GPU acceleration technologies. 
• Proficiency in scripting, automation and configuration management using tools such as Ansible, Terraform, or similar.
• Familiarity with infrastructure-as-code principles and tools (e.g., Helm, Kubernetes manifests). 
• Experience with large-scale language model applications, particularly leveraging Nvidia GPU acceleration, is highly desirable. 
• Solid knowledge of networking concepts, Kubernetes networking models, and integration with Nvidia GPU resources. 
• Excellent problem-solving and troubleshooting skills, with a proactive approach to system optimization. 
• Strong communication skills for effective collaboration in a team-oriented, agile environment. 

Join us and discover a meaningful and exciting career with Assurity Trusted Solutions!

The remuneration package will be commensurate with your qualifications and experience. Interested applicants, please click "Apply Now".

We thank you for your interest and please note that only shortlisted candidates will be notified.

By submitting your application, you agree that your personal data may be collected, used and disclosed by Assurity Trusted Solutions Pte. Ltd. (ATS), GovTech and their service providers and agents in accordance with ATS’s privacy statement which can be found at: https://www.assurity.sg/privacy.html or such other successor site.

• A wholly-owned subsidiary of GovTech.
• We promote a learning culture and encourage you to grow and learn.
• A competency framework is in place to help you grow your career with us.
• Contract Staff enjoys the same benefits as Permanent Employees.
  

Site Engineer – Electrical Engineering

Responsibilities:

• Supervises site installations, ensuring that installations are on-time and complete, following to the installation schedule, work plan, estimated dealer cost and man-hours
• Works with crews to ensure that paperwork is timely and accurate; that all hours and actions are well documented according to company procedures
• Reviews site installations to ensure the highest quality workmanship; that product is assembled per plan and is leveled, aligned, cleaned and completely detailed
• Ensures that material is handled with care and that customer’s property is protected and undamaged
• Trains crews to have a responsible and technically adept interface with main/sub-contractors, electricians, safety officer, etc.
• Ensures that installations and all service work is closed out in a timely manner; that punch list resolution is followed up and finished to each customer’s satisfaction
• Visits site installations on a regular and daily basis, interfacing with leads and installation personnel, customers, and customer third parties, monitoring the progress and quality of the work being done by the installation staff
• Problem solving during installation

• The Reliability Engineering Automation team prides itself in keeping Visa systems up and secure, catering to the 24*7 needs of the business. The team uses AI to aggregate observational data (from monitoring systems output, job logs, syslogs, etc.) and data from ticketing, incident, and event management system data to produce a virtuous circle of continuous insights yielding continuous improvements and fixes The Senior Software Engineer, a highly motivated senior individual contributor based in Singapore, responsible for designing and developing effective solutions in accordance with industry standards on best web development practices. As part of the team, you will be required to own key modules, perform code and design AI architectural reviews, suggest best practices and implement design and development standards. The role is a senior Analyst who has the passion to solve problems, factor old codes, learn and pick up new technologies like generative AI, chatops. The role will also be required to lead implementations on key modules and mentor junior team members.
  Responsibilities:

• Have the passion in developing and supporting the growth of the next generation software architectures and inspire innovation within the team
• Develop scalable real-time low-latency Artificial Intelligence processing solutions in an agile delivery method
• Lead and guide the team in AI design, code and implement new algorithms to solve complex problems
• Develop AIOPS solutions using available tools and technologies and assist the global team in problem resolution by hands-on participation.
• Engage technical workshops with cross-vertical Technology partners for cross-vertical integration in software development.

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

The Chief Engineer is responsible for the planning, coordination, and management of all engineering activities within the organization. This includes overseeing engineering related projects and its maintenance. He/she must ensure projects are completed on time, within budget, and to the required quality standards. The Chief Engineer also plays a critical role in leading the engineering team, fostering innovation, and ensuring compliance with industry standards and regulations. He/she shall provide technical leadership and direction in all areas of engineering.

Primary Responsibilities

Leadership & Team Management

• Lead and manage the engineering team, provident guidance and performance evaluation
• Foster a collaborative and innovative work environment
• Develop and manage the engineering department's budget
• Ensure cost-effective use of resources and materials
• Identify and implement cost-saving initiatives

Project Management

• Oversee and manage the planning, design, and execution of engineering projects.
• Ensure projects are completed on time, within budget, and meet quality and safety standards.
• Manage resources, including personnel, equipment, and materials.
• Communicate project progress and technical information to senior management, clients, and other stakeholders.
• Prepare and present reports, proposals, and technical documentation
• Coordinate with other departments to ensure smooth project execution and communication.

Technical Expertise & Safety Assurance

• Provide technical leadership and direction in all areas of engineering.
• Review and approve engineering designs, plans, and specifications.
• Troubleshoot and resolve complex technical issues.
• Ensure all engineering activities comply with industry standards, regulations, and company policies.
• Implement and monitor quality control processes.
• Promote a culture of safety within the engineering team.
• Stay current with industry trends and advancements in technology.
• Encourage the development and implementation of innovative engineering solutions.
• Drive continuous improvement initiatives within the engineering department.

Salary: 9,000 - 10,850 monthly + RSU

As part of this role, you will

• Interact with partners to understand the problems they are facing
• Design and build products for platform partners
• Collaborate globally with Sales, Implementation and Solutions engineering to ensure seamless product integration
• Evolve Wise's card and multi-currency account offerings to meet new partner needs

We seek individuals with highly developed conceptual, strategic, and analytical skills, capable of striking a balance between visionary thinking and practical solutions. The ability to comprehend, inspire, and mobilize others is crucial. A business-oriented mindset coupled with effective storytelling will drive your success. We are looking for self-starters ready to take on responsibilities with enthusiasm.

• Developing and maintaining the entire DevOps pipelines.
• Coordinate with the stakeholders from requirements gathering until successful implementation DevOps pipeline on boarding.
• Work with the vendors and for internal platforms to setup centralized DevOps solutions considering market best practice, Industry standard and ease of support.
• Work with the vendors and for internal platforms to upgrade the DevOps tools farm and integrating with tools.
• Lead analysis and resolution of root cause for Test Orchestration / Environment related issues
• Ability to multitask and work in a fast-paced, collaborative team environment.
• Stays current with industry trends and leads development of key DevOps, Runtime, and Operational innovation platforms

• Deep technical background, with hands-on experience in supporting CI/CD pipelines (Bitbucket, Jenkins, Artifactory, Sonar, Veracode for SAST, JIRA and Confluence).
• Hands on experience building CI/CD pipelines orchestration by Jenkins, GitLab CI, GitHub Actions or similar tools is a must-have.
• Skill to containerize a application and good if Kubernetes
• Good Experience on OpenShift or AWS
• Prior technical background on different build and branching strategies.
• Deep technical background on Kubernetes deployment process.
• Good knowledge on maintaining/deploying secrets in Kubernetes.
• Prior working experience in setting up Jira workflow.
• Strong hands-on experience on Shell or Groovy scripting.
• Prior experience is customizing JIRA and Setting up confluence spaces.
• Prior hand-on experience in setting up CI/CD pipeline as a centralized solution.
• Hand on experience in setting up DevOps governance, Security standards and audit requirements.
• Prior experience in setting up DevOps pipeline in internal and external cloud offerings.
• Experience with continuous testing, techniques and tools (Junit, Sonar Cube, Veracode etc.)
• Technical exposure of automation accomplished with advanced Python, Chef, Ruby and PowerShell
• Working knowledge of Murex, MxTest, Mx pipeline and Machine Learning applications will be an advantage.

About Javelin

Javelin Global Commodities is a leading global commodities marketing, trading, logistics services and investment firm with offices in London, New York, San Diego, St Louis, Switzerland, India, Australia, Singapore, Canada and Poland. Javelin was founded in 2015 and now operates across 100 countries and six continents with respect to more than 20 different commodities across thermal coal, metallurgical coal, iron ore, steel scrap, metals, hydrocarbons, freight, softs, and renewables.

Established in 2015, Javelin employs over 180 people globally and is a unique place to grow your career. We take pride in our values, global reach, meritocratic culture and strong work ethic.  Our success over the years has been built on our guiding principles of customer service, creativity, transparency, integrity, and responsibility.

Whilst our footprint grows, we still foster a small-company atmosphere. We have a flat company structure and encourage collaboration across all seniority levels, teams and locations to generate the best ideas. We are committed to the wellbeing of our colleagues and organise various social evenings, sports clubs and lunchtime activities, and our Singapore team are imminently moving into a brand new office with room to scale alongside the business’ fast growth.  Discover more at http://www.javelincommodities.com/.

The Role

The Software Engineering team is a central part of Javelin that delivers and maintains the trading and risk management software systems. The role is like a Front Office Developer role at an investment bank or hedge fund. The team’s mandate also extends to the various logistical, financing and operational activities relating to our businesses.

The role will be based in Singapore, and you will have the opportunity to work with colleagues from across the globe and be involved in the development of new business opportunities.

Key Responsibilities Include:

• Design, develop, test, and deploy software applications and systems that facilitate commodities trading activities, including risk management, and market data processing.
• Write clean, scalable, and maintainable code (primarily Python 3).
• Work closely with traders and quantitative analysts to understand trading strategies and requirements.
• Ensure data integrity, performance optimization, and efficient data retrieval for analytics and reporting.
• Comfortable in leading projects, tracking progress, and ensuring timely delivery.
• Provide in person support for the Singapore Trading, Sales and Logistics teams.

We believe in hiring diverse candidates with a passion for working in a flexible and closely knit company. We are a small team with a wide range of expertise and will provide immersive on-the-job training in both software development and the business.

• 3+ years of commercial back end or full-stack development in any language.
• Software development experience in a commodity trading firm, oil and gas major, shipping and logistics firm, investment bank, investment management firm, fintech, or other relevant firm involving trading and/or supply chain management.
• Knowledge of physical commodity products and their trade lifecycle, not limited to coal, base metals, oil, gas and emissions, will be helpful.
• Software development experience in Python will be helpful.

• Annual discretionary bonus
• 25 days holiday
• CPF
• Private medical scheme
• Income protection
• Life assurance (3x salary).

We are seeking a skilled and motivated Data Engineer with expertise in Hadoop, Spark, OpenShift Container Platform (OCP), and DevOps practices. As a Data Engineer, you will be responsible for designing, developing, and maintaining efficient data pipelines, processing large-scale datasets. Your expertise in Hadoop, Spark, OCP, and DevOps will be crucial in ensuring the availability, scalability, and reliability of our ML Solutions.

Responsibilities:

•  Implement data transformation, aggregation, and enrichment processes to support various data analytics and machine learning initiatives
• Collaborate with cross-functional teams to understand data requirements and translate them into effective data engineering solutions
• Ensure data quality and integrity throughout the data processing lifecycle
• Design and deploy data engineering solutions on OpenShift Container Platform (OCP) using containerization and orchestration techniques
• Optimize data engineering workflows for containerized deployment and efficient resource utilization
• Collaborate with DevOps teams to streamline deployment processes, implement CI/CD pipelines, and ensure platform stability
• Implement data governance practices, data lineage, and metadata management to ensure data accuracy, traceability, and compliance
• Monitor and optimize data pipeline performance, troubleshoot issues, and implement necessary enhancements
• Implement monitoring and logging mechanisms to ensure the health, availability, and performance of the data infrastructure
• Document data engineering processes, workflows, and infrastructure configurations for knowledge sharing and reference
• Stay updated with emerging technologies, industry trends, and best practices in data engineering and DevOps
• Provide technical leadership, mentorship, and guidance to junior team members to foster a culture of continuous learning and innovation to the continuous improvement of the analytics capabilities .

• Proven 4+ Years of experience as a Data Engineer, working with Hadoop, Spark, and data processing technologies in large-scale environments
• Strong expertise in designing and developing data infrastructure using Hadoop, Spark, and related tools (HDFS, Hive, Pig, etc)
• Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration using Kubernetes
• Proficiency in programming languages commonly used in data engineering, such as Spark, Python, Scala, or Java
• Knowledge of DevOps practices, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, BitBucket)
• Experience with Graphana, Prometheus, Splunk will be an added benefit
• Strong problem-solving and troubleshooting skills with a proactive approach to resolving technical challenges
• Ability to manage multiple priorities, meet deadlines, and deliver high-quality results in a fast-paced environment
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services is a plus

As a Lead ML Engineer, you will play a leading role in operationalizing ML Models developed by Client data scientists. You will serve as the focal point for ML model refactoring, optimization, containerization, deployment, and quality monitoring. Your main responsibilities will include:

• Conduct reviews for compliance of the ML models in accordance with overall platform governance principles such as versioning, data / model lineage, code best practices and provide feedback to data scientists for potential improvements
• Develop pipelines for continuous operation, feedback and monitoring of ML models leveraging best practices from the CI/CD vertical within the MLOps domain. This can include monitoring for data drift, triggering model retraining and setting up rollbacks.
• Optimize AI development environments (development, testing, production) for usability, reliability and performance.
• Have a strong relationship with the infrastructure and application development team in order to understand the best method of integrating the ML model into enterprise applications (e.g., transforming resulting models into APIs).
• Work with data engineers to ensure data storage (data warehouses or data lakes) and data pipelines feeding these repositories and the ML feature or data stores are working as intended.
• Evaluate open-source and AI/ML platforms and tools for feasibility of usage and integration from an infrastructure perspective. This also involves staying updated about the newest developments, patches and upgrades to the ML platforms in use by the data science teams.

Technical Skills

• At least 10 years of experience as a ML Engineer, working with Python, ML libraries, and large-scale data processing framework.
• Advance proficiency in Python used both for ML and automation tasks.
• Experience in working with ML libraries such as Panda, NumPy, H2O, or TensorFlow.
• Experience in working with large-scale data processing framework, such as Hadoop, Spark, or Dask.
• Knowledge of OpenShift / Kubernetes is a must-have.
• Good knowledge of Bash and Unix/Linux command-line toolkit is a must-have.
• Hands on experience building CI/CD pipelines orchestration by Jenkins, GitLab CI, GitHub Actions or similar tools is a must-have.
• Knowledge in the operationalization of Data Science projects (MLOps) using at least one of the popular frameworks or platforms (e.g., Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning, DataRobot, Dataiku, H2O, or DKube).
• Knowledge of Workflow Orchestrator, such as Airflow or Ctrl-M.
• Knowledge of Logging and Monitoring tools, such as Splunk and Geneos.
• Experience in defining the processes, standards, frameworks, prototypes and toolsets in support of AI and ML development, monitoring, testing and operationalization.
• Experience in ML operationalization and orchestration (MLOps) tools, techniques and platforms. This includes scaling delivery of models, managing and governing ML Models, and managing and scaling AI platforms.
• Knowledge of cloud platforms (e.g. AWS, GCP) would be an advantage.