Total 11 product engineer job vacancies in Singapore, Singapore

We’re hiring a Senior Product Designer to deliver great experiences in payments. As an investment platform in 5 countries, it’s core to our business for users to deposit, transfer and withdraw their funds with ease. Join us in empowering people to build and protect their long-term wealth!

This is an individual contributor role and you’ll work closely with developers and a Product Manager. This role reports to the Head of Product Design. We value clean design, speed of execution, and support one another to grow as designers and individuals.

This role will give you the opportunity to:

• Execute across the full range of product design skills, from initial flows and wireframes, to polished mockups and prototypes and more
• Lead research projects using a variety of methods (surveys, interviews, usability testing and more) to understand and advocate for users in the design process
• Dig into data to evaluate, experiment and optimise designs
• Collaborate with cross-functional partners across Technology, Product, Business Intelligence and more to define problems, identify opportunities, prioritise features and more
• Contribute to team-wide design systems
• Give and solicit feedback often with stakeholders and fellow designers
• Raise the bar for product quality in terms of impact, ease of use, and improve team processes

• A solid portfolio that showcases your design process and polished output. We will evaluate actual work experience much more than the number of years (approximately 5+ years).
• Communication skills (verbal, written and visual). You’re comfortable articulating your design rationale, presenting complex flows and documenting decisions.
• User research skills and experience.
• A track record of collaboration, stakeholder engagement and time management.
• Critical thinking skills. You ask questions and think analytically to form your own viewpoint.
• High proficiency in design tools and processes (user research, usability testing, etc). We use Figma, Dovetail, Maze and more.
• Prior startup experience is a big plus or evidence that you can thrive in a fast-paced environment.

Required for your application:

1. A design portfolio (PDF, Google Slides, Figma etc). Prototypes are a big plus but not required.
2. Your CV

Both documents are required for a complete application.

Employee financial and physical well-being

• Compensation package: You will receive a competitive total compensation package that includes employee stock options if you are a full-time employee.
• Comprehensive insurance coverage: Free panel outpatient GP clinic visits, group hospitalisation and surgical insurance, and Covid hospitalisation insurance coverage (conditions apply).
• Management fee discount: You will receive an employee discount on your asset management fees when you invest with StashAway.

Flexible work arrangements and policies

• Unlimited paid annual leave: It should be simple for you to decide if you would like to take more or fewer days off. We trust that you are accountable for your work and know best if you need 10 or 30 days of paid annual leave that year.
• Personal work equipment budget: It’s important that you have a workstation that’s optimal for you wherever you are.

Learning and development opportunities

• You will be given an annual Learning and Development budget to help you continuously learn in your pursuit of your professional and personal development. You may use the budget for resources and tools that may help you perform better at work. This budget is subject to management approval.

Team bonding budget and initiatives

• Quarterly team bonding budget: We encourage you to socialise with colleagues across job functions, departments, and entities to know them better as individuals beyond what they professionally do.
• Annual off-site (Nov): Each off-site gathers all employees for a full day of company-wide team bonding activities and challenges.

• Supporting the Product team that powers the Wise Card issuing infrastructure to our partners. You’ll be spearheading the end-to-end operational onboarding flow of new partners which includes configuring set-up in Visa/Mastercard, onboard partners onto Apple Pay/Google Pay and solving physical card issuance requirements.

• Taking full ownership of projects from initial scoping to final implementation, including assessing problem size and impact, creating rollout plans, collaborating across teams, conducting testing, and refining solutions.

• Identify bottlenecks and areas of improvement from a Product Ops perspective

• Work closely with Product team to optimise the card onboarding flows 

• Own and drive conversations with card manufacturers when it comes to submitting change requests and other changes required for the cards program

• Build out operational guides for new product offering and managing customer physical card programs 

• Assist CS teams when escalations are made with regards to delivery issues

• Work closely with Finance on ensuring that all card invoices are promptly delivered and processed on time

• Manage disputes & chargeback requests as well as escalations from partners/internal teams

SHIELD is a device-first risk AI platform that helps digital businesses worldwide eliminate fake accounts and stop all fraudulent activities. SHIELD identifies the root of fraud with the global standard for device identification (SHIELD Device ID) and actionable risk intelligence, empowering businesses to stay ahead of new and unknown fraud threats. We are trusted by global unicorns like inDrive, Alibaba, Swiggy, Meesho, TrueMoney and more. With offices in San Francisco, Miami, London, Berlin, Jakarta, Bengaluru, Beijing, and Singapore, we are rapidly achieving our mission – eliminating unfairness to enable trust for the world. 

Responsibilities

• Develop a fast and efficient JavaScript module to collect data points from user browsers.
• Develop an automated testing suite of the module on multiple browsers on multiple platforms.
• Setup and test the module against malicious tools and the latest anti-fingerprinting technologies.
• Research on the latest browser anti-fingerprinting technologies and as well as the latest browser technologies.

• Minimum Bachelor's Degree in Computer Science, with a strong knowledge of Web Security and Networks
• Experience in JavaScript language is a must
• Passionate and curious about web security and private browsing technologies
• Strong analytical, interpersonal, communication, and presentation skills

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 within the bank

• Bachelor's degree in Computer Science, Information Technology, or a related field
• Proven 2-5 Years of experience as a Data Engineer, working with Hadoop, Spark, and data processing technologies in large-scale environments
• trong 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
• trong problem-solving and troubleshooting skills with a proactive approach to resolving technical challenges
• Excellent collaboration and communication skills to work effectively with cross-functional teams
• 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

We are seeking a talented and experienced Structural Engineer to join our dynamic team in Singapore, Singapore. As a key member of our engineering department, you will play a crucial role in designing, analyzing, and overseeing the construction of various structural systems for commercial, residential, and industrial projects.

• Develop and review structural designs for buildings, bridges, and other infrastructure projects
• Perform complex structural analyses using advanced software tools to ensure the safety and integrity of structures
• Collaborate with architects, contractors, and other engineering disciplines to create innovative and efficient structural solutions
• Prepare detailed structural drawings, specifications, and calculations in compliance with local building codes and international standards
• Conduct site visits to monitor construction progress and ensure adherence to design specifications
• Analyze and resolve structural issues that arise during the construction phase
• Prepare and review technical reports, including structural calculations and design criteria
• Participate in client meetings and presentations to communicate design concepts and solutions
• Stay updated on the latest industry trends, technologies, and best practices in structural engineering

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.

Roles & Responsibilities

• 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.
• Excellent written and oral communication skills; writing, publishing and conference-level presentation skills
• 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.

We are developing and executing a shared strategic vision for Loyalty & Marketing Services platforms and products that enable Visa to be the world-leading data-driven payments company. As a Data Engineer, you will be part of world-class team of Engineers to define, drive and execute on this vision. We are looking for a self-motivated individual with software engineering skills and expertise with Java, Web technologies & Big data. The candidate will be extensively involved in hands-on activities including POCs, design, development, testing, and documentation. Candidate must be flexible and willing to switch tasks based on team's needs.

Primary responsibilities will include:

• Design and develop mission-critical systems, delivering high-availability and performance
• Work on development of new products and enhancements to existing systems iteratively by building quick POCs and converting ideas into real products
• Work closely with architects, business and technical stakeholders to develop high quality products and services that meet business requirements and expectations while applying the latest available tools and technology
• Instill best practices for software development, and deliver high quality work on tight schedules
• Identify opportunities for further enhancements and refinements to standards and processes
• Coordinate Continuous Integration activities, testing automation frameworks, and other related items in addition to contributing core product code
• Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner

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.

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.

As an ML Engineer, your pivotal role involves operationalizing ML Models developed by Bank 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.

• Proficiency in Python used both for ML and automation tasks
• 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 of OpenShift / Kubernetes is a must-have.
• Good understanding of ML libraries such as Panda, NumPy, H2O, or TensorFlow.
• 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 Distributed Data Processing framework, such as Spark, or Dask.
• 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.

Why choose Logicalis?          

As Architects of Change, Logicalis' focus is to design, support and execute clients' digital transformation by uniting their vision with their technology expertise and industry insights. The company, through its deep understanding of key IT industry drivers such as security, cloud, data management and IoT, can address customer priorities such as revenue growth and business, operational efficiency, innovation, risk and compliance, data governance and sustainability. 
 

We strengthen our purpose: to design, support, and execute our customers' digital transformation by converging their vision with our technological expertise and knowledge of the industry. The brand refresh underpins both the evolution of Logicalis’ positioning as well as our strategic vision for growth. 

Responsibilities:

• Implementing network and security solutions: Responsible for implementing network and security solutions for clients, which may involve configuring routers, switches, wireless, load balancers and other network devices like Aruba. Racking and Stacking network devices. Expected to handle small to mid-sized project.
• Troubleshooting network and security issues: Responsible for diagnosing and resolving network and security issues that arise for clients while deploying, which may involve investigating connectivity problems, configuration issues, and analyzing network traffic.
• Client management: Responsible for building and maintaining relationships with clients, managing their expectations, and ensuring their needs are met.
• Collaboration with other teams: Working closely with other teams such as project managers and Operations team to ensure the network and security delivery is completed within the stipulated time.
• Technical Documentation: Responsible for creating technical documentation such as Low-Level Design, TDS, As-built, UAT and SAT documents. Signoff all the documents from clients for the project closure.
• Knowledge Transfer: Responsible for providing handover the project to client and internal operations team.

Requirements:

• Possess at least a Diploma, Bachelor's Degree, or Professional Degree in Computer Science/Information Technology or equivalent
• Minimum 5 years of experience in network design/deployment.
• Excellent knowledge in Routing and switching, eg. BGP, OSPF, Multicast, VSS, spanning tree, MPLS L3VPN.
• Experience in wireless. Cisco WLC, Aruba, Prime, MSE/CMX, DNAC, Ekahau Site Survey tool
• Data centre technologies, eg. Cisco Nexus VDC, VPC, FEX, VXLAN, ACI.
• Good knowledge of Firewall technologies eg. IPSEC VPN, SSL VPN, IPS/IDS, Cisco ASA, Firepower, Fortigate,
• Good knowledge in network access control(NAC) product, eg Aruba Clearpass Policy Manager, Cisco ISE.
• Excellent interpersonal & communication skills 
• Current CCNA/CCNP qualified with related professional experience, CCIE would be an advantage.

Company:

Sopra Steria is a listed European tech leader specializes in Consulting, Digital Service, and Software. We have 60,000 employees worldwide located in different regions (Europe, North America and Asia), whereby Singapore is the HQ for APAC. EvaGroup Asia Pacific is part of Sopra Steria I2S APAC, in charge of Infrastructure, Cloud and Cybersecurity services.

Additional Description:

For this position, we are looking for an ICT Security Engineer proficient in Elastic Stack to assist one of our clients – a leading global investment bank.

 The team is looking for an ICT Security Engineering professional to increase its capability to improve the detection & reaction to Cyber Threats by:

• Deploying, maintaining and improving the new SIEM infrastructure

The new joiner will work in close collaboration with Production Infrastructure & Observability teams. Finally, the new joiner will fully be part of the Production CSIRT / SIEM Engg team with the opportunity to expand the scope of activities within the team.

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

• 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.

Specific Requirements:

• Candidate must have a overall 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.

• Regular team buildings
• 18 leave days / year
• Insurance: Hospitalization, GP, Dental and Optical
• Annual bonus
• Working hours: from 9am to 6pm, Monday to Friday
• Training and certifications paths

We are seeking a talented and experienced Senior Data Engineer (Quantexa)with expertise in Hadoop, Scala, Spark, Elastic, Open Shift Container Platform (OCP) and DevOps practices. Elasticsearch to join our team. As a Data Engineer, you will play a crucial role in designing, developing, and optimizing big data solutions using Apache Spark, Scala, and Elasticsearch. You will collaborate with cross-functional teams to build scalable and efficient data processing pipelines and search applications. Knowledge and experience in the Compliance / AML domain will be a plus. Working experience with Quantexa tool is a must.

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

·        Design, develop, and implement Spark Scala applications and data processing pipelines to process large volumes of structured and unstructured data

·        Integrate Elasticsearch with Spark to enable efficient indexing, querying, and retrieval of data

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

·        Implement data transformations, aggregations, and computations using Spark RDDs, DataFrames, and Datasets, and integrate them with Elasticsearch

·        Develop and maintain scalable and fault-tolerant Spark applications, adhering to industry best practices and coding standards

·        Troubleshoot and resolve issues related to data processing, performance, and data quality in the Spark-Elasticsearch integration

·        Monitor and analyze job performance metrics, identify bottlenecks, and propose optimizations in both Spark and Elasticsearch components

·        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

1. More than 5 years of experience as a Data Engineer
2. · Bachelor's or Master's degree in Computer Science, Software Engineering, or a related discipline
3. · Possession of Quantexa certification as a Data Engineer or Data Architect, with proficiency in the tool
4. · Demonstrated experience as a Data Engineer, utilizing Hadoop, Spark, and data processing technologies in large-scale environments
5. · Expertise in the Scala programming language and familiarity with functional programming principles
6. · Prior experience with the Quantexa tool is highly desirable
7. · Comprehensive understanding of Apache Spark architecture, including RDDs, DataFrames, and Spark SQL
8. · Advanced proficiency in designing and developing data infrastructure utilizing Hadoop, Spark, and associated tools (HDFS, Hive, Pig, etc.)
9. · Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration via Kubernetes
10. · Proficiency in programming languages commonly employed in data engineering, including Spark, Python, Scala, or Java
11. · Knowledge of DevOps methodologies, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, BitBucket)
12. · Experience with Graphana, Prometheus, and Splunk will be considered an added advantage
13. · Background in integrating and utilizing Elasticsearch for data indexing and search applications
14. · Solid understanding of Elasticsearch data modeling, indexing strategies, and query optimization techniques
15. · Experience with distributed computing, parallel processing, and handling large datasets
16. · Proficient in performance tuning and optimization methods for Spark applications and Elasticsearch queries
17. · Strong problem-solving and analytical capabilities with the capacity to debug and resolve intricate issues
18. · Familiarity with version control systems (e.g., Git) and collaborative development environments