Total 9 quality assurance job vacancies in Engineering category in D21 Upper Bukit Timah, Clementi Park, Ulu Pandan

The AI Engineer as part of the Prudential Corporate AI Lab and Incubator will support the development and run of the global AI sandbox, development of cutting-edge AI solutions, R&D and provide technical guidance and support in AI domain to the teams under incubation that develop AI Products.

The role requires a strong technical background in Data, AI and modern Cloud infrastructure, excellent technical skills, and the ability to collaborate with both internal and external stakeholders across technology, AI and business to deliver impactful AI products. The AI Engineer will work on delivery of high-quality AI products, continues improvement and experimentation and development of Prudential's AI expertise.

Job Description:

Sandbox Platform:

• Assist in the development and maintenance of the AI Lab’s global sandbox platform.
• Ensure the platform is effectively used for experimenting with AI applications.
• Contribute to the continuous improvement of the platform based on user feedback and technological advancements.
• Collaborate with cross-functional teams to integrate AI solutions into the sandbox environment.
• Provide technical guidance and support to teams using the sandbox for AI product development.

Technical AI Domain Expertise:

• Conduct research and development (R&D) to stay up-to-date with the latest advancements in AI, machine learning, Large Language Model frameworks.
• Provide technical guidance and support in the AI domain to teams under incubation that develop AI products.
• Analyse and interpret data to provide actionable insights and recommendations.

AI Development and Quality:

• Optimize and fine-tune AI models for performance, scalability, and accuracy.
• Assist in the technology aspects of the structured AI product incubation and acceleration program.
• Ensure AI Products and experiments are developed in alignment with Prudential’s core risk, data protection, technology risk management policies, and regulations.
• Contribute to the implementation of rigorous quality assurance processes to maintain the highest standards of AI solutions.
• Work on the delivery of high-quality AI products, continuous improvement, experimentation, and development of Prudential’s AI expertise.

Team Collaboration

• Collaborate with cross-functional teams, including technology, AI, and business stakeholders, to integrate AI solutions into products and services.
• Work with external partners, including higher education institutions, start-ups, and hyperscale’s expert teams and government agencies.
• Contribute to a culture of innovation, continuous learning, and knowledge sharing within the AI Lab.
• Mentor and guide junior engineers in AI and machine learning best practices

Talent Development and Ecosystem Engagement

• Contribute to the development of AI talent within Prudential through participation in education and training programs.
• Engage with the external AI ecosystem to stay updated with the latest trends and advancements.
• Represent Prudential at industry events and conferences to showcase the company’s AI capabilities.

Who we are looking for:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Proven experience (5 years or more) in developing and deploying AI models and algorithms.
• Strong technical background in data, AI, and modern cloud infrastructure.
• Excellent programming skills in languages such as Python, R.
• Experience with machine learning frameworks and libraries (e.g., LLM frameworks, Computer Vision, NLP frameworks, TensorFlow, PyTorch, scikit-learn).
• Knowledge of data preprocessing, feature engineering, model evaluation, MLOPs, LLMOps techniques
• Familiarity with cloud platforms and services (e.g., AWS, Google Cloud, Azure).
• Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills.
• Ability & Passion for innovation and a drive to position Prudential at the forefront of AI in the insurance industry
• This role presents an exciting opportunity in Prudential's AI transformation and contribute to the company's strategic goals. The AI Lab will play a crucial role in delivering substantial business value, enhancing customer experience, and establishing Prudential as an industry leader in AI innovation.

This role presents an exciting opportunity in Prudential's AI transformation and contribute to the company's strategic goals. The AI Lab will play a crucial role in delivering substantial business value, enhancing customer experience, and establishing Prudential as an industry leader in AI innovation.

Job Purpose

The Site Reliability Engineer (SRE) combines software development and system leading to build and run distributed solutions in a secured multi-tier heterogeneous environment to safeguard, provide and continuously improve the software and systems behind the organization’s cloud platform solutions.

The Job

· Work closely with Cloud Portfolio Director and the Cloud Engagement Lead to derive and implement a technical roadmap that is align with the IT architecture and cloud strategy.

· Work closely with a team of engineers of different domains to implement new and enhanced services the cloud platform.

· Be the solution engineer for the cloud platform, which includes new services via IaC on IaaS across Hybrid Cloud.

· Leverages on software as the primary tool to optimizing systems, building infrastructure and removing mundane work through automation. Scale sustainably via automation and evolve services/solutions, leveraging IaaS across hybrid cloud to drive changes that improves reliability and velocity.

· Engages in and improves the full lifecycle of cloud platform solutions from design, deployment, operation and refinement with accuracy and in compliance with organization policies and security requirements.

· Automate repetitive tasks and optimize cloud operations.

· Support services before go-live through activities like system design consulting, developing software platforms and launch reviews. Maintain post-live cloud operations by measuring and monitoring availability, latency and overall system health with any prompt and remediate actions.

· Support cloud adoption including new system and legacy system migration from traditional infrastructure to GEL Cloud platform

· Deploy product updates as required while implementing integrations when they arise. Specifying, documenting and developing new product features, and writing automating scripts.

· Takes accountability in considering business and regulatory compliance risks and takes appropriate steps to mitigate the risks.

· Maintains awareness of industry trends on regulatory compliance, emerging threats and technologies in order to understand the risk and better safeguard the company.

· Highlights any potential concerns /risks and proactively shares best risk management practices.

Our Requirements

· Strong hands on experience with using and designing VMware Cloud Foundry solution including NSX-T, vRealize Suite, vSphere/vCenter is mandatory.

· Strong hands on experience with using and designing Public Clouds (AWS, GCP or Azure) landing zone and infrastructure layer

· Strong working experience on patch management for operating systems and middleware is mandatory. Eg, Windows, RedHat, Websphere, Weblogic, MSSQL etc.

· Hands on experience with creation and maintenance of VMware server templating/blueprints such as RedHat, Windows server templates.

· Hands on experience with infrastructure-as-code, orchestration, configuration management and provisioning tools is mandatory.

· Systematic problem-solving approach, coupled with effective communications skills and a sense of ownership and drive.

· Strong experience in a Continuous Integration/Continuous Delivery (CI/CD) environment with strong appreciation of change/version control process and methodologies.

· Worked with DevOps and Automation tools (E.g. Selenium, SOAPUI, Bamboo, Jenkins, Ansible, Marvin, Github, Bitbucket, Nexus, Jira, Confluence etc).

· Must code, debug and optimize code and automate mundane tasks.

· Experience in scripting languages such as Bash, Batch, Powershell, YAML etc.

· Experience implementing distributed solutions in a secured multi-tier heterogeneous environment is mandatory.

· High level of integrity, takes accountability of work and good attitude over teamwork.

· Takes initiative to improve current state of things and adaptable to embrace new changes.

About Great Eastern

Established in 1908, Great Eastern places customers at the heart of everything we do. Our legacy extends beyond our products and services to our culture, which is defined by our core values and how we work. As champions of Integrity, Initiative and Involvement, our core values act as a compass, guiding and inspiring us to embrace the behaviours associated with each value, upholding our promise to our customers - to continue doing our best for them in a sustainable manner.

We work collaboratively with our stakeholders to look for candidates who exhibit or have the potential to embrace our core values and associated behaviours, as these are the key traits that we expect from our employees as they develop their careers with us.

We embrace inclusivity, giving all employees an equal opportunity to shine and play their role in exploring possibilities to deliver innovative insurance solutions.

Since 2018, Great Eastern has been a signatory to the United Nations (UN) Principles of Sustainable Insurance. Our sustainability approach around environmental, social, and governance (ESG) considerations play a key role in every business decision we make. We are committed to being a sustainability-driven company to achieve a low-carbon economy by managing the environmental footprint of our operations and incorporating ESG considerations in our investment portfolios; improving people’s lives by actively helping customers live healthier, better and longer; and drive responsible business practices through material ESG risk management.

To all recruitment agencies: Great Eastern does not accept unsolicited agency resumes. Please do not forward resumes to our email or our employees. We will not be responsible for any fees related to unsolicited resumes.

Job Purpose

At Great Eastern, we are building Data and AI capabilities to activate the full value of our data. Reporting to Head, Group Data and AI, Center of Excellence, this role is to

• To lead the Data & AI project end to end from development to deployment
• To help the leaders make the right technology decisions for data engineering/science, data hosting and to identify the right partners for development.

The Job

• Work across the entire GEL Data & AI solution space, designing and developing solutions.
• Collaborate with business users to understand and solve their requirements, driving business value.
• Collaborate with data analysts, data scientists, and data engineers to identify and pilot use cases and develop capabilities.
• Discuss feasibility and architectural design with business teams, translating their vision into realistic technical implementation.
• Present and demonstrate solution concepts, prototypes, and final deliverables to business users.
• Design, develop, and implement scalable data pipelines and machine learning models.
• Participate in code reviews, knowledge sharing, and meetings to foster collaboration and continuous improvement.
• Optimize model performance, ensuring scalability, security, and data integrity of data & AI solutions.
• Identify opportunities for innovation, applying new technologies and best practices.
• Mitigate business and regulatory compliance risks.
• Stay updated on industry trends, emerging threats, and technologies.
• Highlights any potential concerns /risks and proactively shares best risk management practices
• High level of integrity takes accountability of work and good attitude over teamwork.
• Takes initiative to improve current state of things and adaptable to embrace new changes.

Our Requirements

• Master's Degree in computer science, engineering, or related field.
• 5+ years of experience building data products and services in engineering positions.
• Broad knowledge of Data & AI pillars: Data Engineering, Analytics, and AI/ML.
• Proficiency in programming languages (Java/Python/R/Scala), SQL, and Big Data querying tools.
• Experience with machine learning libraries and frameworks (TensorFlow, scikit-learn, PyTorch).
• Familiarity with systems development life cycle, project management, and Agile methodologies.
• Ability to explain complex concepts in non-technical language.
• Strong problem-solving skills and a proactive mindset.
• High level of integrity takes accountability of work and good attitude over teamwork.
• Takes initiative to improve current state of things and adaptable to embrace new changes.

About Great Eastern

Established in 1908, Great Eastern places customers at the heart of everything we do. Our legacy extends beyond our products and services to our culture, which is defined by our core values and how we work. As champions of Integrity, Initiative and Involvement, our core values act as a compass, guiding and inspiring us to embrace the behaviours associated with each value, upholding our promise to our customers - to continue doing our best for them in a sustainable manner.

We work collaboratively with our stakeholders to look for candidates who exhibit or have the potential to embrace our core values and associated behaviours, as these are the key traits that we expect from our employees as they develop their careers with us.

We embrace inclusivity, giving all employees an equal opportunity to shine and play their role in exploring possibilities to deliver innovative insurance solutions.

Since 2018, Great Eastern has been a signatory to the United Nations (UN) Principles of Sustainable Insurance. Our sustainability approach around environmental, social, and governance (ESG) considerations play a key role in every business decision we make. We are

committed to being a sustainability-driven company to achieve a low-carbon economy by managing the environmental footprint of our operations and incorporating ESG considerations in our investment portfolios; improving people’s lives by actively helping customers live healthier, better and longer; and drive responsible business practices through material ESG risk management.

To all recruitment agencies: Great Eastern does not accept unsolicited agency resumes. Please do not forward resumes to our email or our employees. We will not be responsible for any fees related to unsolicited resumes.

The Team: Quality Engineering

The Quality Engineering team works in partnership with other Technology Functions and the Business to ensure quality delivery of our products. The team works in an Agile environment and is located globally. The team is independent in driving all decisions and is responsible for continuously improving customer experience, revenue growth and operations enablement through quick turn-around of development of our products with high quality.

The Impact:

As an Engineer-QA, you will make a significant contribution in building automation/performance solutions to test applications across Web/Windows/Mobile/API/Services platforms and framing efficient data comparison methods. Your challenge will be reducing the “time to market” for products without compromising quality, by leveraging automation and innovation. You will use a wide range of technologies and have the opportunity to interact with different internal teams.

What’s in it for you:

• Working with a team of highly skilled, ambitious and result-oriented professionals.
• Using a wide range of cutting-edge technology to innovate while testing.
• An ever-challenging environment to hone your existing skills in Automation, Performance, service layer testing, SQL scripting etc.
• A great opportunity to think and execute like a developer while performing the role of QA.
• Being a part of an organization which values ‘Culture of Urgency’ and ‘Shift Left’ approaches.
• A plenty of skill building, knowledge sharing, and innovation opportunities.
• Building a fulfilling career with a global financial technology company.
• Responsibilities:
• Develop automation/performance scripts that meet organization standards and build reliable automated regression suites
• Design and develop test plans, test cases based upon functional and design specifications, execute test cases and analyze and report test results to the teams
• Work in partnership with the development teams to deliver business functionality on time with required quality that meets the acceptance criteria
• Focus on building efficient solutions for Web, Services/APIs, and Database testing requirements.
• Participate in internal/cross team meetings, project scoping, functional reviews, test specifications, technical reviews for assigned projects in an Agile environment
• Participate actively in functional, system and regression testing activities
• Capture quality assurance data and metrics to provide insights and conclusions
• Estimate and perform risk analysis for quality delivery

What We’re Looking For:

• 3 -7 years of experience in software testing and developing automated scripts with understanding of coding and debugging procedures
• Experience in programming using Python/Java or other languages
• Experience in design and development of automated tests using automation tools (e.g. Python, Selenium, etc.) with exposure in testing across the application layers (UI/Service/Data layers)
• Experience in advising team to identify automatable test cases at different layers (UI, Services and Data layer tests). Ability to working with developers to build automation/performance friendly code is a plus.
• Experience in basic SQL/PL-SQL, writing queries and RDBMS
• Understanding of Behavior Driven Development (BDD) practices and experience in Safe Agile methodology is a plus
• Knowledge of testing in CI, DevOps, rolling deployment/upgrade model is a plus
• Knowledge of developing Test Plans and Test Cases, engage in Exploratory Testing, creating and maintaining Defect Reports
• Exposure to performance testing tools like HP LoadRunner/Performance Center/Storm Runner, JMeter is a plus.
• Strong communication skills and ability to produce clear, concise and detailed documentation
• Excellent problem solving, analytical and technical troubleshooting skills
• Bachelor's or higher qualification in Computer Science, Information Systems or equivalent is preferred

S&P Global has a Securities Disclosure and Trading Policy (“the Policy”) that seeks to mitigate conflicts of interest by monitoring and placing restrictions on personal securities holding and trading. The Policy is designed to promote compliance with global regulations. In some Divisions, pursuant to the Policy’s requirements, candidates at S&P Global may be asked to disclose securities holdings. Some roles may include a trading prohibition and remediation of positions when there is an effective or potential conflict of interest. Employment at S&P Global is contingent upon compliance with the Policy.

Responsibilities:

· Ensure that the solution developed (HW and SW) is complying with both customer and company requirements with the required and expected level of Quality.

· Support the development teams in identifying and resolving .problems, assuring that the relevant processes, practices and applicable standards and regulations have been followed.

· Analyze the data resulting from audits, return and customer complaints, alert and veto right, to prevent the risks.

· Approve or make sure of the formal approval of the conformity of products and to be in charge of the follow-up of the complaints from the customers.

· Contribute as required to project reviews supplying feedback by using the quality advices.

· Support and verify tailoring activities of company practices and their result in the relevant existing documentation..

Skills/Requirement:

· Experience in Quality in Engineering/Development teams (preferable within Electronics/Telecommunication context)

· Process Analysis, Improvement and Deployment.

· Experience in Quality Plan/ Quality Inspection & Test Plan

· Proven Experience in Quality Standards like ISO 9001, CMMI, ASPICE and ACSMS

· Knowledge of AGILE at SCALE (SW, HW, SYSTEM Integration)

· IVVQ Strategy

· Standardization (Configuration Management mindset)

· Project Management.

Interested candidates, who wish to apply for the above position, please send in your resume to: [email protected] EA License No. 01C4394 EA Personnel Reg.No. R22105078 (Kanimozhi Naveen Kumar)

We regret to inform you that only shortlisted candidates will be contacted.

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This is in partnership with Employment and Employability Institute Pte Ltd (“e2i”). e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to e2i’s PDPA.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

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Prudential’s purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our people, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and we support our people’s career ambitions. We pledge to make Prudential a place where you can Connect, Grow, and Succeed.

This role will play a critical part in the Data Science workstream within the Analytics Centre of Excellence (CoE). The role is responsible for progressing Prudential Singapore’s business growth by building world-class systems, processes and engineering standards that enable advanced analytics and machine learning scale. The developer will build these systems, processes, and standards by leading the development of use cases defined in the CoE’s roadmap (and/or by ideating and leading projects they believe will add value to our clients and the company). The successful candidate must have a passion to help team members become highly capable and self-reliant in deploying analytics solutions using CICD and cloud technologies.

Job Description:

• To drive growth and enhance customer experience:Solve intricate business challenges through the application of machine learning, advanced analytics, and generative AI models.
  Develop engineering standards and frameworks to automate and standardize the development of machine learning and generative AI, ensuring scalability, reliability, and adherence to FEAT principles and Singapore’s Veritas Guidelines.
  Leverage feedback from stakeholders on Analytics Products to influence the product roadmap.
  Conduct comprehensive analyses on customer trends, campaign effectiveness, and distribution channels using statistical and AI models, facilitating strategic business recommendations.
  
• To drive advance analytics excellenceDrive the professional development of the team, overseeing the code review and pull request processes for analytics projects.
  Define and update coding and engineering standards, prioritizing the deployment of dependable analytics solutions.
  Collaborate closely with business partners to identify their challenges and objectives, developing bespoke predictive models, statistical analyses, data reports, and performance metrics utilizing both traditional ML and generative AI techniques.
  

Who we are looking for:

• Demonstrable expertise in machine learning processes, including notable experience with generative AI.
• Proficiency in GIT, Python, SQL, DataBricks, MLFlow, and ML frameworks (e.g., scikit-learn, TFX, PyTorch).
• Deep understanding and practical experience with deep learning, generative AI models (such as GPT-4, Claude 3, Gemini, Mistral AI, etc.), and their applications in the industry.
• Extensive experience in:-
• Cloud platforms (Azure, with GCP and AWS being advantageous)
• Adopting a DevOps mindset
• Transforming data science prototypes into production-ready solutions
• Enhancing existing ML frameworks and libraries
• Translating analytics findings into business decisions
• Collaborating with data scientists and non-technical stakeholders to drive actions based on data insights.
• A passionate advocate for applying the latest academic and industry advances in data science and AI to solve real-world problems.

Qualifications:

• Master’s degree, PhD, or equivalent experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or a related field.
• Prior knowledge or experience in life insurance practices is highly desirable.

Prudential is an equal opportunity employer. We provide equality of opportunity of benefits for all who apply and who perform work for our organisation irrespective of sex, race, age, ethnic origin, educational, social and cultural background, marital status, pregnancy and maternity, religion or belief, disability or part-time / fixed-term work, or any other status protected by applicable law. We encourage the same standards from our recruitment and third-party suppliers taking into account the context of grade, job and location. We also allow for reasonable adjustments to support people with individual physical or mental health requirements.

Job Purpose

The Site Reliability Engineer (SRE) combines software development and system leading to build and run distributed solutions in a secured multi-tier heterogeneous environment to safeguard, provide and continuously improve the software and systems behind the organization’s cloud platform solutions.

The Job

· Work closely with Cloud Portfolio Director and the Cloud Engagement Lead to derive and implement a technical roadmap that is align with the IT architecture and cloud strategy.

· Work closely with a team of engineers of different domains to implement new and enhanced services the cloud platform.

· Be the solution engineer for the cloud platform, which includes new services via IaC on IaaS across Hybrid Cloud.

· Leverages on software as the primary tool to optimizing systems, building infrastructure and removing mundane work through automation. Scale sustainably via automation and evolve services/solutions, leveraging IaaS across hybrid cloud to drive changes that improves reliability and velocity.

· Engages in and improves the full lifecycle of cloud platform solutions from design, deployment, operation and refinement with accuracy and in compliance with organization policies and security requirements.

· Automate repetitive tasks and optimize cloud operations.

· Support services before go-live through activities like system design consulting, developing software platforms and launch reviews. Maintain post-live cloud operations by measuring and monitoring availability, latency and overall system health with any prompt and remediate actions.

· Support cloud adoption including new system and legacy system migration from traditional infrastructure to GEL Cloud platform

· Deploy product updates as required while implementing integrations when they arise. Specifying, documenting and developing new product features, and writing automating scripts.

· Takes accountability in considering business and regulatory compliance risks and takes appropriate steps to mitigate the risks.

· Maintains awareness of industry trends on regulatory compliance, emerging threats and technologies in order to understand the risk and better safeguard the company.

· Highlights any potential concerns /risks and proactively shares best risk management practices.

Our Requirements

· Strong hands on experience with using and designing VMware Cloud Foundry solution including NSX-T, vRealize Suite, vSphere/vCenter is mandatory.

· Strong hands on experience with using and designing Public Clouds (AWS, GCP or Azure) landing zone and infrastructure layer

· Strong working experience on patch management for operating systems and middleware is mandatory. Eg, Windows, RedHat, Websphere, Weblogic, MSSQL etc.

· Hands on experience with creation and maintenance of VMware server templating/blueprints such as RedHat, Windows server templates.

· Hands on experience with infrastructure-as-code, orchestration, configuration management and provisioning tools is mandatory.

· Systematic problem-solving approach, coupled with effective communications skills and a sense of ownership and drive.

· Strong experience in a Continuous Integration/Continuous Delivery (CI/CD) environment with strong appreciation of change/version control process and methodologies.

· Worked with DevOps and Automation tools (E.g. Selenium, SOAPUI, Bamboo, Jenkins, Ansible, Marvin, Github, Bitbucket, Nexus, Jira, Confluence etc).

· Must code, debug and optimize code and automate mundane tasks.

· Experience in scripting languages such as Bash, Batch, Powershell, YAML etc.

· Experience implementing distributed solutions in a secured multi-tier heterogeneous environment is mandatory.

· High level of integrity, takes accountability of work and good attitude over teamwork.

· Takes initiative to improve current state of things and adaptable to embrace new changes.

About Great Eastern

Established in 1908, Great Eastern places customers at the heart of everything we do. Our legacy extends beyond our products and services to our culture, which is defined by our core values and how we work. As champions of Integrity, Initiative and Involvement, our core values act as a compass, guiding and inspiring us to embrace the behaviours associated with each value, upholding our promise to our customers - to continue doing our best for them in a sustainable manner.

We work collaboratively with our stakeholders to look for candidates who exhibit or have the potential to embrace our core values and associated behaviours, as these are the key traits that we expect from our employees as they develop their careers with us.

We embrace inclusivity, giving all employees an equal opportunity to shine and play their role in exploring possibilities to deliver innovative insurance solutions.

Since 2018, Great Eastern has been a signatory to the United Nations (UN) Principles of Sustainable Insurance. Our sustainability approach around environmental, social, and governance (ESG) considerations play a key role in every business decision we make. We are committed to being a sustainability-driven company to achieve a low-carbon economy by managing the environmental footprint of our operations and incorporating ESG considerations in our investment portfolios; improving people’s lives by actively helping customers live healthier, better and longer; and drive responsible business practices through material ESG risk management.

To all recruitment agencies: Great Eastern does not accept unsolicited agency resumes. Please do not forward resumes to our email or our employees. We will not be responsible for any fees related to unsolicited resumes.

Purpose of role:

This role will focus on improving internal testing processes and be hands-on with both manual and automation software testing. The role will support several key web product initiatives and ensure high quality software release to our customers, both internal operations team and external customers.

Responsibilities:

• Identify testable events and develop the test cases / test scripts. Leverage the testing process and test tools to create re-useable test assets.
• Implement related testing missions, including but not limited to Test plans, Test environment, Test cases, Test reports, bugs tracking, and regression test, based on the Software Testing Life Cycle (STLC).
• Define repetitive jobs and turn them into scripting to automate the testing workflow.
• Collaborate with Development team to perform the root cause analysis of the test failures.
• Explore the latest testing tools to improve testing efficiency.

Qualifications:

• Degree in Computer Science, Computer Engineering, Information Systems Management, Information Technology, or related disciplines.
• At least 4 years of relevant experience is required.
• Familiar with Agile software development lifecycle.
• Experience in testing web applications (UI and API) and console applications.
• Has knowledge in JIRA/Confluence, MSSQL, Hands-on development, and testing process.
• Test Automation Certification and/or experience in automation testing.
• Familiar with at least one UI automation framework.
• Experience in testing techniques such as smoke testing, database testing, white and black box testing, regression testing, system integration testing and user acceptance testing.
• Knowledge of DevOps tools in a CI/CD environment such as Jenkins, SonarQube is a plus.
• Good logical and structural thinking
• Strong sense of responsibility and result-oriented
• Good sense for quality, teamwork, and innovation
• Able to work independently or with limited assistance.

As a Cloud Engineering Lead in the software engineering team at Prudential Singapore, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications. As part of this dynamic role you will work closely with business units and other Software Development teams to deliver leading edge technology to enable digital capabilities of Prudential Singapore.

Your focus

• Lead Architecture and Design: Architect, design, and oversee the implementation of various components of the key platforms, ensuring integration with technologies developed by software engineering teams, APIs for Front-End Apps, leveraging Cloud, Cloud Native, and AI/ML technologies.
• Metrics and Optimization: Define key performance metrics for the platform, establish processes for tracking these metrics, and continuously optimize platform performance.
• Engineering Processes: Implement and refine engineering processes, implement engineering roadmap items, utilizing the most effective tools and methodologies to enhance development efficiency and data management.
• Cross-Functional Collaboration: Work closely with Product Owners and Engineering teams to align on platform capabilities, and solutions with both business and technical requirements.
• Platform Development Lifecycle Management: Oversee the entire lifecycle of platform development, from conception through deployment and maintenance.
• Technical Leadership and Oversight: Provide technical guidance to engineers, ensuring high-quality technical delivery and effective problem-solving during implementation phases.
• Architectural and Non-Functional Considerations: Ensure that the platform/applications architecture adequately addresses key non-functional requirements such as high availability, scalability, maintainability, and extensibility.
• Actively engage in coding, with a focus on full stack development and system integrations.
• Design and standardize APIs for efficient internal/external partner integration and scalability

Your competencies

• Strong expertise in technical architecture, system design, software development, and security considerations of cloud based applications.
• 10+ years of relevant experience in software engineering.
• Proficiency in backend technologies and frameworks (e.g., Java, Spring boot).
• Cross platform Front-end technology experience (e.g. React, Flutter) is a plus.
• Expertise in RESTful/GraphQL API development and integration.
• Familiarity with SQL/NoSQL databases, data structures, and algorithms.
• Good understanding of cloud services and infrastructure (Azure, Google Cloud).
• Experience with Cloud CI / CD automations (i.e. Terraform, GitHub) would be an advantage.
• Experience with container (i.e. GKE, K8S), auto-scaling, HA would be an advantage.
• Ability to code, test, and maintain a future-proof platform, considering risk management, security aspects and scalability.

Education

• Degree in Computer science, Computer Engineering or equivalent experience

Who you are

• A flexible achiever focused on quality and timely delivery.
• Creatively agile, systematic, and detail-oriented.
• Highly analytical, a quick learner, and a team player.
• Experienced in leadership or eager to step into a leadership role.
• Driven by values and a people-first approach.
• Bringing 5+ years of relevant experience.