Total 2,218 failure analysis engineer job vacancies in Information Technology category in Hong Kong

Senior Android Engineer

Airwallex is a rapidly growing fintech unicorn, founded in 2015 and now flourishing at the Series E financing stage. With a global footprint across Asia-Pacific, Europe, North America, and APAC, we specialize in providing diverse financial Join our Ledger and Recon Platform team, a critical component of Airwallex's mission to provide seamless financial management solutions. As an Engineering Manager in this dynamic team, you will build and scale key financial products and serve as a bridge between engineering domains and the finance division.

In this role, you will lead efforts to develop and enhance our internal ledger and reconciliation systems. Your expertise will help ensure accuracy, security, and innovation in our financial processes, and your understanding of accounting principles will facilitate effective collaboration with finance stakeholders.

With Airwallex's rapid growth and fast-paced expansion, you will face and tackle the exciting challenge of developing scalable, extensible, and reliable technology infrastructure that supports our global business operations.payment solutions for B2B merchants, empowering businesses to operate seamlessly anywhere, anytime.

About the team:

As a global engineering powerhouse, our team spans China, the Netherlands, and Singapore, embracing a rich tapestry of cultures and perspectives. Guided by our True North Vision, we're passionately striving to become the preferred payment partner for businesses seeking to boost revenue and streamline expenses.

Our mission is to simplify the complexities of payments for businesses by designing solutions that seamlessly integrate into their workflows, enhancing efficiency and driving customer conversion rates. Within our diverse and dynamic team, you'll find yourself at the intersection of innovation and practicality, where every contribution is essential in making payment processes effortless.

Joining us means becoming part of a global community of engineers leading the charge in reshaping the payments landscape while actively contributing to the operational success of businesses worldwide. Together, we're dedicated to revolutionizing financial operations for businesses, positioning our solutions as the cornerstone of their success.

Who we are looking for:

We are looking for those who take pride in crafting high-quality code, have an insatiable appetite for learning and find joy and fulfillment in developing tools that empower others.

As a Senior Mobile Engineer, you'll play a pivotal role in our Payment Team, developing cutting-edge mobile solutions that power seamless payment experiences. You'll help architect and build our POS applications and SDKs that enable merchants worldwide to accept payments through a diverse range of international and local payment methods.

You will work with your engineering colleagues as well as product stakeholders to not only make sure it’s secure, reliable, sustainable and developer-friendly but also bring new features and different levels of integration experience. We build our solutions in native technologies across iOS and Android, so we admire that you have a grasp of both platforms.

In addition to core engineering duties, we actively encourage our engineering community to contribute to the growth of Airwallex generally. Our business is achieving rapid growth with an evolving roadmap, and we want our engineers to play a part in how that happens.

In this role, you will:

• Responsible for the design & implementation of enterprise applications and libraries for Android;
• Work with internal business teams and product management to define requirements and develop technical specifications;
• Serve as core contributor owning full-cycle product development;
• Work with Architect and re-factor code and design for optimal maintainability, extensibility and reusability;

You might be a great fit if you:

• BS / MS degree in Computer Science or equivalent majors;
• Strong proficiency with Kotlin, with ability to read and understand Java codebases, including 5+ years of Android development experience building production applications;
• Strong foundation in software design principles and design patterns for mobile development;
• Deep knowledge of Android architecture components, Jetpack libraries, and modern development approaches (Compose, MVVM, Coroutines, Flow, etc.);
• Promote robust and maintainable code with high test coverage, and can maintain automation pipelines for CI/CD;
• Ability to work independently as well as with a team;
• Fluently in English.

Bonus if you have:

• Experience developing and maintaining Android SDK libraries or frameworks;
• Familiarity with cross-platform technologies such as React Native or Flutter;
• Working experience in the payment industry.

Our client is a well-established MNC and a global leader in industrial automation and process control solutions. Due to their current expansion plan, they are looking for a PLC/DCS Field System Engineer, in hopes of strengthening their engineering team. They are located in the (West) - 2 ways company transport provided at Clementi MRT.

Responsibilities:

• Perform system setup, configuration, and programming for control systems (DCS/PLC) including associated hardware and software components.
• Execute system testing activities, including Factory Acceptance Test (FAT) and Site Acceptance Test (SAT).
• Support site installation, commissioning, and integration with third-party systems.
• Prepare, update, and maintain engineering documentation and technical records.
• Provide on-site maintenance support, including troubleshooting, preventive servicing, and system optimization.
• Monitor system performance and recommend corrective actions or upgrades where required.
• Manage and coordinate software license renewals and version updates.
• Generate service and maintenance reports, including customized reports when necessary.
• Assist in preparing technical proposals, cost estimations, and support pre-sales or after-sales activities.
• Ensure compliance with safety, operational, and technical standards during project execution and service activities.

Requirements:

• Diploma or Degree in Engineering (Electrical, Electronics, Mechanical, Chemical, Control) or Computer Science / Information Systems.
• Experience in control systems, automation, or process control environments.
• Knowledge of PLC or DCS systems, including configuration and troubleshooting.
• Familiarity with system integration, testing, and commissioning processes.
• Ability to interpret technical drawings, system architecture, and engineering documentation.

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/CV.

We regret that only shortlisted candidates will be notified.
Email Address: jobs@recruitpedia.sg
EA License No: 19C9682
EA Personnel No: R22104769
EA Personnel Name: Ong Boon Kiet (Travys)

Senior Android Engineer

Airwallex is a rapidly growing fintech unicorn, founded in 2015 and now flourishing at the Series E financing stage. With a global footprint across Asia-Pacific, Europe, North America, and APAC, we specialize in providing diverse financial payment solutions for B2B merchants, empowering businesses to operate seamlessly anywhere, anytime.

About the team:

As a global engineering powerhouse, our team spans China, the Netherlands, and Singapore, embracing a rich tapestry of cultures and perspectives. Guided by our True North Vision, we're passionately striving to become the preferred payment partner for businesses seeking to boost revenue and streamline expenses.

Our mission is to simplify the complexities of payments for businesses by designing solutions that seamlessly integrate into their workflows, enhancing efficiency and driving customer conversion rates. Within our diverse and dynamic team, you'll find yourself at the intersection of innovation and practicality, where every contribution is essential in making payment processes effortless.

Joining us means becoming part of a global community of engineers leading the charge in reshaping the payments landscape while actively contributing to the operational success of businesses worldwide. Together, we're dedicated to revolutionizing financial operations for businesses, positioning our solutions as the cornerstone of their success.

Who we are looking for:

We are looking for those who take pride in crafting high-quality code, have an insatiable appetite for learning and find joy and fulfillment in developing tools that empower others.

As a Senior Mobile Engineer, you'll play a pivotal role in our Payment Team, developing cutting-edge mobile solutions that power seamless payment experiences. You'll help architect and build our POS applications and SDKs that enable merchants worldwide to accept payments through a diverse range of international and local payment methods.

You will work with your engineering colleagues as well as product stakeholders to not only make sure it’s secure, reliable, sustainable and developer-friendly but also bring new features and different levels of integration experience. We build our solutions in native technologies across iOS and Android, so we admire that you have a grasp of both platforms.

In addition to core engineering duties, we actively encourage our engineering community to contribute to the growth of Airwallex generally. Our business is achieving rapid growth with an evolving roadmap, and we want our engineers to play a part in how that happens.

In this role, you will:

• Responsible for the design & implementation of enterprise applications and libraries for Android;
• Work with internal business teams and product management to define requirements and develop technical specifications;
• Serve as core contributor owning full-cycle product development;
• Work with Architect and re-factor code and design for optimal maintainability, extensibility and reusability;

You might be a great fit if you:

• BS / MS degree in Computer Science or equivalent majors;
• Strong proficiency with Kotlin, with ability to read and understand Java codebases, including 5+ years of Android development experience building production applications;
• Strong foundation in software design principles and design patterns for mobile development;
• Deep knowledge of Android architecture components, Jetpack libraries, and modern development approaches (Compose, MVVM, Coroutines, Flow, etc.);
• Promote robust and maintainable code with high test coverage, and can maintain automation pipelines for CI/CD;
• Ability to work independently as well as with a team;
• Fluently in English.

Bonus if you have:

• Experience developing and maintaining Android SDK libraries or frameworks;
• Familiarity with cross-platform technologies such as React Native or Flutter;
• Working experience in the payment industry.

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Python and AWS Software Engineer II at JPMorgan Chase within the Corporate Investment Bank, Macro Data Analytics team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Develop business logic and data transformations in distributed frameworks to create curated datasets for specific business needs.

• Take full ownership of the software delivery lifecycle, from requirement gathering to coding, testing, deployment, support, and ongoing maintenance.

• Demonstrate self-motivation, ambition, and the ability to work independently while driving projects to successful completion.

• Exhibit intellectual curiosity and a desire to understand trends and patterns in the data you work with.

• Executes standard software solutions, design, development, and technical troubleshooting.

• Writes secure and high-quality code using the syntax of at least one programming language with limited guidance.

• Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications.

• Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity.

• Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development.

• Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems.

Required qualifications, capabilities, and skills

• Bachelor's degree in Computer Science or equivalent

• Formal training or certification on software engineering concepts and 3+ years applied experience in software development, with a strong focus on data pipeline solutions

• Strong experience in Python and Spark or equivalent such as Flink or Beam

• Experience in AWS technologies, including AWS Glue, Kinesis, and Redshift - or similar from other cloud provider

• Strong problem-solving skills and a passion for innovation

• Excellent communication and collaboration skills, with the ability to work effectively with diverse teams

• Commitment to continuous learning and improvement

• Proficient in relational databases and SQL

Preferred qualifications, capabilities and skills

• Understanding of data management (e.g., permissions, recovery, security, and monitoring)

• Adapt to changing project requirements and technologies

• Experience working in the FICC technology space

• Prior experience in SecDB/Athena/Quartz

• Experience in Cloud Certifications and prior Data Engineering

• Experience working in a Markets trading environment is highly desirable especially in the areas of Currencies, Rates, Emerging Markets, Commodities and Options

To apply for this position, please use the following URL:

https://ars2.equest.com/?response_id=c008c53896ec1c7cbaa13c11b1a307f8

Senior Software Engineer

Eurofins IT Solutions, Bengaluru, Karnataka, India

With 54 facilities worldwide, Eurofins BioPharma Product Testing (BPT) is the largest network of bio/pharmaceutical GMP product testing laboratories providing comprehensive laboratory services for the world's largest pharmaceutical, biopharmaceutical, and medical device companies.

Behind the scenes, BPT is enabled by global engineering teams working on next-generation applications and Electronic Lab Notebook(ELN). These are sophisticated computer programs that will be used by our scientists, engineers, and technicians to document research, experiments, and procedures performed in our international network of laboratories.

This role reports to a Engineering Manager.

Required Experience and Skills

Experience:

• 4 to 7 years of experience with developing end-to-end web applications using Microsoft stack of technologies.
• Strong working knowledge of Web application development using .NET, C#, Asp.net, MVC, WebAPI.
• Strong Working knowledge of Angular 2 or above, JavaScript, TypeScript, jQuery, HTML5 and CSS3.
• Good working knowledge of Cosmos DB, MSSQL – SQL etc.
• Experience with usage of TFS
• Familiar UI testing and Unit Testing (MS Test/ Jasmine/ MOQ/ NUnit/ Karma etc.)
• Good understanding of object-oriented programming (OOP)
• Strong working knowledge of SOLID principles and design patterns that includes Creational, Structural, Behavioral
• Strong experience in designing and working with n-tier architectures
• Able to provide technical recommendations and solve technical problems
• Should have working knowledge on Code review that includes, raising code review, resolve comment reviews, Closing code reviews.
• Should be aware of best practices in programming
• Should know how to troubleshoot performance-related issues, how to write efficient code and query, how to use SQL profiler
• Working knowledge Authentication and Authorization [Plus OAuth2, OpenIDC etc.] (5+)
• Should have worked on at least one SOA (Service Oriented Architecture) project
• Should have worked in an AGILE practice methodology (preferably SCRUM)

The CRM, CLM & Compliance team are responsible for developing, improving and maintaining the corresponding modules for our clients in the European & APAC markets.  We are seeking a talented Software Engineer to join our growing team where you will be involved in the entire software development lifecycle, from analysis, development, testing to deployment, in collaboration with a group of highly skilled business analyst and developer colleagues.  We follow an agile process, working closely within our own team but also with other related teams and clients to develop new product features and maintain existing ones in live use. 

Your key tasks will be as follows:

• Write clean, efficient, and maintainable code using best practices and design patterns
• Participate in code reviews and provide constructive feedback to team members
• Troubleshoot and debug issues in production environments
• Mentor junior developers and contribute to the team's technical growth
• Contribute to the planning and estimation of development tasks and sprints

Job Title

Assistant Manager (Financial Planning & Analysis)

Sector

Healthcare / Finance

Employment Type

Contract (6 Months, Maternity Cover)

Job Summary

Support financial planning, budgeting, and performance analysis for a healthcare institution. Work closely with stakeholders to provide insights, evaluate projects, and drive financial and operational improvements.

Key Responsibilities

• Support budgeting and financial planning processes, including analysis of revenue and cost trends
• Perform variance analysis and provide insights on financial performance
• Evaluate OPEX spending and capital investment proposals
• Review business cases, identify risks, and recommend improvements
• Collaborate with stakeholders to support financial decision-making
• Drive process improvements and strengthen financial controls
• Support reporting, project evaluation, and funding submissions
• Participate in quality improvement and hospital-wide initiatives

Requirements

• Degree in Accountancy, Finance, or related discipline (mandatory)
• Experience in financial planning, budgeting, or analysis preferred

All qualified applicants, please click “ APPLY NOW”

Or you may send in your resume to:

Whatsapp: https://wa.me/+6597430026  

Email : kimlow@recruitexpress.com.sg

Kimmy Low Yi Ting (Kim) | CEI Registration Number: R23112122

Recruit Express Pte Ltd Company Reg. No. 199601303W | EA LICENCE Number: 99C4599

Senior Software Engineer - eOps (Day of Ops)

Role Overview

The Senior Software Engineer is responsible for delivering and managing SIA's Air-to-Ground digital products through technical excellence, infrastructure engineering, and DevOps practices. This role drives business outcomes by designing, implementing, and maintaining cloud and on-premises solutions while ensuring security, compliance, and operational stability for aviation connectivity systems.

Key Responsibilities

Technical Delivery & Infrastructure Engineering

- Design, implement, and manage complex AWS cloud infrastructure and on-premises systems for Air-to-Ground connectivity products

- Lead infrastructure setup for critical aviation systems including firewall configuration, networking, database management, and security protocols

- Develop and maintain CI/CD pipelines, deployment strategies, and platform delivery frameworks

- Implement air-to-ground communication security configurations including cockpit-to-ground data protection protocols

- Drive cloud migration initiatives and infrastructure modernization projects

Product & Platform Management

- Serve as Technical Lead for Air-to-Ground products including SITA Aircom, Mission Watch (MMT), Airbus and Boeing connectivity systems

- Manage infrastructure setup and configuration for current and new fleet introductions

- Coordinate and execute continuous software upgrades from OEMs (Airbus, Boeing, SITA)

- Plan and implement change requests, disaster recovery tests, and regular server patching activities

- Ensure integration of secure-by-default patterns and compliance controls

Stakeholder & Vendor Management

- Collaborate with SIA Infrastructure teams, Business Units (Engineering, Flight Ops, TMM), and external OEMs

- Manage vendor relationships and technical interfaces with Boeing, Airbus, and SITA

- Translate business needs into technical specifications and measurable acceptance criteria

Operations & Support

- Provide ongoing technical support and troubleshooting for production Air-to-Ground applications

- Implement monitoring, telemetry, and analytics for operational visibility

- Diagnose and resolve infrastructure and application issues

- Create and maintain comprehensive technical documentation and knowledge repositories

Required Qualifications & Experience

Technical Skills:

- Advanced expertise in AWS cloud services (EC2, VPC, IAM, networking, security)

- Strong knowledge of infrastructure as code, CI/CD tools, and DevOps practices

- Proficiency in firewall, network security, and database management

- Experience with Linux/Unix system administration and scripting

- Familiar with Gen AI SDLC (Software Development Life Cycle) and Github Copilot

- Familiar with Java programming and Shell scripts

- Understanding of aviation/connectivity systems (preferred)

Experience:

- Minimum 5 years of software engineering or infrastructure engineering experience

- Minimum 2 years of experience with Airlines Air-to-Ground systems

- Proven track record in delivering complex cloud and on-premises solutions

- Experience managing vendor relationships and technical integrations

- Demonstrated ability to lead technical projects and serve as subject matter expert

Competencies:

- Strong problem-solving and analytical skills

- Excellent collaboration and stakeholder management abilities

- Self-motivated with a positive, can-do attitude

- Ability to work with cross-functional teams and external partners

- Strong technical documentation and communication skills

Software Test Engineer (Java | Testing | AI-Driven Systems)

Experience: 5–8 Years (Mid-Level)

Fixed Term Contract -2 years [Renewable]

About Akkodis

Akkodis is a global digital engineering leader with over 50,000 experts across 30 countries. We drive innovation across mobility, software, robotics, AI, and data analytics—helping organizations accelerate digital transformation and build smarter, more sustainable futures.

Role Overview

This role is ideal for engineers who enjoy a balanced mix of development, testing, and innovation initiatives. While Java programming is required, it will form approximately 30% of the role, with a stronger emphasis on testing, automation, AI-driven initiatives, and technical documentation.

What You’ll Do

• Contribute to embedded software development using Java and OOP principles (~30% of role)
• Lead and support testing, validation, and debugging activities across complex systems
• Design and execute test strategies, automation frameworks, and validation processes
• Leverage AI-driven tools and automation to improve testing efficiency and software quality
• Develop and maintain clear technical documentation, test plans, and system specifications
• Work across the full SDLC, including integration, testing, and deployment
• Collaborate within global agile teams to deliver secure, connected embedded and IoT solutions
• Support continuous improvement of engineering practices, tools, and methodologies

What You Bring

• 5–8 years of experience in software or embedded systems environments
• Strong foundation in Java and Object-Oriented Programming (OOP)
• Proven experience in testing, debugging, and quality engineering
• Hands-on exposure to:
• Git (version control)
• JIRA (issue tracking)
• Jenkins or similar tools (CI/CD, automation)
• Experience working on medium to large-scale systems
• Comfortable working in complex, fast-paced environments with cross-functional teams
• Strong documentation and communication skills

Nice to Have

• Experience in test automation frameworks or QA engineering
• Exposure to AI/ML-driven testing or automation initiatives
• Background in embedded systems, IoT, or secure connected devices

Why Join Us

• Work at the intersection of testing, AI, and next-gen embedded systems
• Be part of a global engineering ecosystem
• Gain exposure to innovation-driven projects beyond pure development
• Build expertise in automation, quality engineering, and AI-led transformation

Don't miss out on this chance to be a part of a dynamic and growing team. Take the Next Step in your career journey with us!

• To apply, please submit your updated resume along with your notice period. [ We are looking for someone to start ASAP]
• Click on the 'Apply here' button to drop your resume directly or email it to susmita.SAHU@akkodis.com
• Our team will review all applications and contact shortlisted candidates for further steps in the selection process.

Job Benefits

• Competitive salary with performance bonuses (AWS + VB)
• Opportunity to work with a leading MNC in the semiconductor industry
• Exposure to advanced technologies (automation, AI/ML, computer vision)
• Structured training and career progression
• Stable work environment with strong engineering support

Job Responsibilities

• Design and develop high-performance software for semiconductor equipment, including motion control and automation systems
• Develop and implement embedded and real-time software for high-speed, high-precision machines
• Collaborate with cross-functional teams (software, electronics, mechanical, product) for system integration
• Perform software testing, debugging, and optimization to ensure system reliability and performance
• Develop control algorithms, servo systems, and support advanced technologies such as AI/ML or computer vision where applicable
• Maintain technical documentation and support internal teams with training and troubleshooting
• Ensure compliance with quality, safety, and industry standards

Job Requirements

• Degree in Computer Science, Software Engineering, Electrical Engineering, or related discipline
• Proficiency in C++ for embedded systems, automation, or industrial applications
• Experience in software development within semiconductor, automation, or manufacturing environments preferred
• Strong analytical and problem-solving skills with ability to troubleshoot complex systems
• Familiarity with motion control systems, real-time programming, or AI/ML/computer vision is an advantage

Please submit your updated resume in MS Word format via the "Apply Now" button.

We regret that only shortlisted candidates will be notified.

StaffKing Pte Ltd (20C0358) | Stanley Chin (R24124684)

Activate Interactive Pte Ltd (“Activate”) is a leading technology consultancy headquartered in Singapore with a presence in Malaysia and Indonesia. Our clients are empowered with quality, cost-effective, and impactful end-to-end application development, like mobile and web applications, and cloud technology that remove technology roadblocks and increase their business efficiency.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We are searching for our next team members to join our growing team.

If you love the idea of being part of a growing company with exciting prospects in mobile and web technologies that create positive impact on people’s lives, then we would love to hear from you.

Co-Development Business Unit is hiring for Data Engineer

You will work in Singapore Government Agencies

Internal Code: A26137

This is a fixed term contract role. The engagement is 2 years.

What will you do?

• Able to communicate well, strong conviction in the Government's mission and good user management skills
• Experienced in running major projects with strong management skills
• Can think of the big picture while being able to deep-dive into details if required
• Able to hands-on and go onsite e.g. project sites if required.
• Design, develop and deploy data tables, views and marts in data warehouses, operational data store, data lake and data virtualization.
• Perform data extraction, cleaning, transformation, and flow.
• Design, build, launch and maintain efficient and reliable large-scale batch and real-time data pipelines with data processing frameworks.
• Integrate and collate data silos in a manner which is both scalable and compliant
• Collaborate with Product Manager, Data Architect, Business Analysts, Frontend Developers, Designers and Data Analyst to build scalable data-driven products
• Be responsible for developing backend APIs & working on databases to support the applications.
• Work in an Agile Environment that practices Continuous Integration and Delivery.
• Work closely with fellow developers through pair programming and code review process.

What are we looking for?

• Familiar with GIS platforms: ArcGIS Server, PostGIS
• Able to use spatial Python libraries: GeoPandas, Shapely
• Build scalable geospatial data pipelines for ingestion, transformation, storage, and quality checks from multiple government sources.
• Implements data cataloging, metadata, lineage, and security; optimizes storage and performance for GIS analytics (e.g., PostGIS, data lakes).
• Provides reliable data services and contracts to support downstream GIS analytics and front-end visualizations, collaborating closely with GIS and frontend teams.
• Data management: applies validation, cleansing, reprojection, metadata, and data lineage of geospatial data
• Designs enterprise geospatial data models, schemas, pipelines, and services; builds or configures web map services and front-end visualization components.
• Ensures data quality, standards compliance (ISO 19115/19139, OGC), governance, and operational reliability of GIS data assets.

What do we offer in return?

• Fun working environment
• Employee Wellness Program
• To work in Singapore Government Agencies projects
• We provide structured development framework and growth opportunities. (We are a “SHRI 2025 Gold winner” in “Learning & Development; Coaching & Mentoring”)

Why you'll love working with us?

If you are looking for opportunities to collaborate with leading industry experts and be surrounded by highly motivated and talented peers, we welcome you to join us. We provide all employees with equal opportunities to grow and develop with us. We believe your success is our success.

Activate Interactive Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Activate Interactive Pte Ltd does not discriminate in employment opportunities or practices on the basis of race, colour, religion, gender, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for Activate Interactive Pte Ltd.

Your personal data will be processed for the purposes of managing Activate Interactive Pte Ltd’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.

Please consult our Privacy Notice (https://www.activate.sg/privacy-policy) to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Senior Lead Software Engineer at JPMorgan Chase within the Commercial and Investment Bank , Post Trade Technology Group, 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. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems

• Develops secure high-quality production code, and reviews and debugs code written by others

• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems

• Leads evaluation sessions with business stakeholders, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture

• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies

Required qualifications, capabilities, and skills

• Bachelor's degree in Computer Science or equivalent

• Formal training or certification on engineering concepts and 5+ years applied experience in software engineering

• Hands-on practical experience delivering system design, application development, testing, and operational stability

• Advanced in one or more programming language(s)

• Proficiency in automation and continuous delivery methods

• Proficient in all aspects of the Software Development Life Cycle

• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

• Proficient in full stack development skill Java 21, REACT or any other frameworks , building into Public Cloud and CD/CD strategies.

Preferred qualifications, capabilities, and skills

• In-depth knowledge of the financial services industry and their IT systems

• Practical cloud native experience

To apply for this position, please use the following URL:

https://ars2.equest.com/?response_id=0790f3558ca7189aa57af5238df75528

The Opportunity

Join a team building the data foundations that support the firm’s AI and analytics capabilities. This role sits within the engineering effort to develop a modern Lakehouse and AI data platform that enables reliable, well-governed and high-performing data use across the firm.

At Goldman Sachs, engineering teams are positioned at the centre of the business, building scalable systems, solving complex technical problems and turning data into action. In data engineering roles, the emphasis is on designing, building and maintaining large-scale data platforms, delivering production pipelines, improving reliability and quality, and partnering closely with users of the platform.

This is a delivery-focused role for engineers who want to build robust data assets in production, work with modern data technologies, and grow over time within the firm. You will contribute to the data models, pipelines and platform capabilities that underpin analytics, operational decision-making and emerging AI use cases, and may also help extend platform tooling where additional functionality is needed.

Role Summary

As a Data Engineer in the Lakehouse and AI Data Platform team, you will design, build, test and support data pipelines and curated datasets on the firm’s modern data platform. You will work across ingestion, transformation, modelling, optimisation and data quality, helping to deliver data products that are reliable, scalable and fit for purpose.  Where there are gaps in platform functionality, you may also contribute to shared tooling or framework components that improve how the platform is used and operated.

The role is suited to engineers who are comfortable writing code, working with SQL and distributed data processing, and solving practical delivery problems in a team environment. More experienced candidates may also contribute to technical design, platform standards and the shaping of delivery approaches across a wider set of use cases.

Key Responsibilities

Pipeline Engineering

• Build, enhance and support batch and streaming data pipelines on the Lakehouse and AI data platform.
• Refactor or modernise existing data flows where needed to improve reliability, performance and maintainability.
• Where needed, build reusable tooling to improve delivery, consistency and operational support.
• Ensure data pipelines are production-ready, well tested and operationally supportable.

Data Modelling and Curation

• Develop raw, refined and curated datasets that support analytics, reporting and AI use cases.
• Apply sound data modelling principles to represent business entities, relationships and historical change accurately.
• Work with consumers to shape data products that are usable, well documented and aligned to business needs.

Data Quality and Reconciliation

• Implement controls to validate completeness, accuracy and consistency of data across pipelines and datasets.
• Use reconciliation approaches to build confidence in production outputs and investigate breaks where they arise.
• Contribute to clear standards for testing, monitoring and issue resolution.
• Contribute to practical improvements in testing, monitoring or reconciliation tooling where these strengthen platform reliability and day-to-day delivery.

Delivery and Partnership

• Work closely with engineers, platform teams and data consumers to deliver agreed outcomes to time and quality expectations.
• Communicate clearly on progress, risks, dependencies and design choices, including where delivery would benefit from improvements to shared platform tooling.
• For more senior candidates, take a broader role in technical leadership, task breakdown and support for junior engineers.

Skills and Experience

Required

• Bachelor’s or master’s degree in a relevant discipline, or equivalent practical experience, with evidence of strong quantitative skills or data engineering expertise.
• Strong hands-on programming experience in Python or Java.
• Good working knowledge of SQL, including troubleshooting, optimization and data analysis.
• Ability to learn new tools, internal platforms and delivery workflows quickly.
• Familiarity with software engineering fundamentals, including version control, testing, release discipline and CI/CD practices.

Data Engineering Capability

• Understanding of temporal data modelling, including the handling of historical state and change over time.
• Knowledge of schema design, schema evolution and data compatibility considerations.
• Understanding of partitioning, clustering and other techniques used to improve data performance at scale.
• Ability to make sensible design choices across normalized and denormalized models, and between natural and surrogate keys.
• Practical approach to data quality, reconciliation and root-cause analysis.
• Experience building or supporting production data pipelines in a collaborative engineering environment.
• Experience working with distributed data processing frameworks such as Apache Spark.
• Working knowledge of common data formats such as JSON, Avro and Parquet.

Technology Environment

The role will involve working with a modern and evolving data stack. Candidates are not expected to have deep expertise in every tool from day one but should bring relevant experience and the ability to work across comparable technologies.

Examples of technologies in scope include:

• Data processing and logic: ANSI SQL, Apache Spark, Kafka
• Data formats: JSON, Avro, Parquet
• Platforms and storage: Snowflake, Apache Iceberg, Databricks, Hadoop ecosystem technologies, Sybase IQ
• Engineering and deployment: CI/CD tooling, containerized or Kubernetes-based deployment approaches where relevant

You will also work with internal data management and platform tooling, so a practical and adaptable engineering mindset is important.

What We Are Looking For
We are looking for engineers who can deliver well-structured, reliable solutions in production and who take ownership of the quality of what they build. The role suits candidates who are technically strong, pragmatic and comfortable working in a fast-paced environment where data platforms support important business outcomes. It will also suit candidates who are willing to contribute to shared tooling or platform components that make the wider engineering environment more effective.

Stronger candidates will typically demonstrate:

• sound judgement in technical trade-offs
• attention to detail in data correctness and testing
• a clear and structured approach to problem solving
• willingness to work closely with stakeholders and partner teams
• an ability to identify when delivery problems would be better solved through reusable tooling or platform improvements
• an interest in developing long-term expertise within the firm

ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

© The Goldman Sachs Group, Inc., 2026. All rights reserved.

Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

The Opportunity

Join a team building the data foundations that support the firm’s AI and analytics capabilities. This role sits within the engineering effort to develop a modern Lakehouse and AI data platform that enables reliable, well-governed and high-performing data use across the firm.

At Goldman Sachs, engineering teams are positioned at the centre of the business, building scalable systems, solving complex technical problems and turning data into action. In data engineering roles, the emphasis is on designing, building and maintaining large-scale data platforms, delivering production pipelines, improving reliability and quality, and partnering closely with users of the platform.

This is a delivery-focused role for engineers who want to build robust data assets in production, work with modern data technologies, and grow over time within the firm. You will contribute to the data models, pipelines and platform capabilities that underpin analytics, operational decision-making and emerging AI use cases, and may also help extend platform tooling where additional functionality is needed.

Role Summary

As a Data Engineer in the Lakehouse and AI Data Platform team, you will design, build, test and support data pipelines and curated datasets on the firm’s modern data platform. You will work across ingestion, transformation, modelling, optimisation and data quality, helping to deliver data products that are reliable, scalable and fit for purpose.  Where there are gaps in platform functionality, you may also contribute to shared tooling or framework components that improve how the platform is used and operated.

The role is suited to engineers who are comfortable writing code, working with SQL and distributed data processing, and solving practical delivery problems in a team environment. More experienced candidates may also contribute to technical design, platform standards and the shaping of delivery approaches across a wider set of use cases.

Key Responsibilities

Pipeline Engineering

• Build, enhance and support batch and streaming data pipelines on the Lakehouse and AI data platform.
• Refactor or modernise existing data flows where needed to improve reliability, performance and maintainability.
• Where needed, build reusable tooling to improve delivery, consistency and operational support.
• Ensure data pipelines are production-ready, well tested and operationally supportable.

Data Modelling and Curation

• Develop raw, refined and curated datasets that support analytics, reporting and AI use cases.
• Apply sound data modelling principles to represent business entities, relationships and historical change accurately.
• Work with consumers to shape data products that are usable, well documented and aligned to business needs.

Data Quality and Reconciliation

• Implement controls to validate completeness, accuracy and consistency of data across pipelines and datasets.
• Use reconciliation approaches to build confidence in production outputs and investigate breaks where they arise.
• Contribute to clear standards for testing, monitoring and issue resolution.
• Contribute to practical improvements in testing, monitoring or reconciliation tooling where these strengthen platform reliability and day-to-day delivery.

Delivery and Partnership

• Work closely with engineers, platform teams and data consumers to deliver agreed outcomes to time and quality expectations.
• Communicate clearly on progress, risks, dependencies and design choices, including where delivery would benefit from improvements to shared platform tooling.
• For more senior candidates, take a broader role in technical leadership, task breakdown and support for junior engineers.

Skills and Experience

Required

• Bachelor’s or master’s degree in a relevant discipline, or equivalent practical experience, with evidence of strong quantitative skills or data engineering expertise.
• Strong hands-on programming experience in Python or Java.
• Good working knowledge of SQL, including troubleshooting, optimization and data analysis.
• Ability to learn new tools, internal platforms and delivery workflows quickly.
• Familiarity with software engineering fundamentals, including version control, testing, release discipline and CI/CD practices.

Data Engineering Capability

• Understanding of temporal data modelling, including the handling of historical state and change over time.
• Knowledge of schema design, schema evolution and data compatibility considerations.
• Understanding of partitioning, clustering and other techniques used to improve data performance at scale.
• Ability to make sensible design choices across normalized and denormalized models, and between natural and surrogate keys.
• Practical approach to data quality, reconciliation and root-cause analysis.
• Experience building or supporting production data pipelines in a collaborative engineering environment.
• Experience working with distributed data processing frameworks such as Apache Spark.
• Working knowledge of common data formats such as JSON, Avro and Parquet.

Technology Environment

The role will involve working with a modern and evolving data stack. Candidates are not expected to have deep expertise in every tool from day one but should bring relevant experience and the ability to work across comparable technologies.

Examples of technologies in scope include:

• Data processing and logic: ANSI SQL, Apache Spark, Kafka
• Data formats: JSON, Avro, Parquet
• Platforms and storage: Snowflake, Apache Iceberg, Databricks, Hadoop ecosystem technologies, Sybase IQ
• Engineering and deployment: CI/CD tooling, containerized or Kubernetes-based deployment approaches where relevant

You will also work with internal data management and platform tooling, so a practical and adaptable engineering mindset is important.

What We Are Looking For
We are looking for engineers who can deliver well-structured, reliable solutions in production and who take ownership of the quality of what they build. The role suits candidates who are technically strong, pragmatic and comfortable working in a fast-paced environment where data platforms support important business outcomes. It will also suit candidates who are willing to contribute to shared tooling or platform components that make the wider engineering environment more effective.

Stronger candidates will typically demonstrate:

• sound judgement in technical trade-offs
• attention to detail in data correctness and testing
• a clear and structured approach to problem solving
• willingness to work closely with stakeholders and partner teams
• an ability to identify when delivery problems would be better solved through reusable tooling or platform improvements
• an interest in developing long-term expertise within the firm

ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

© The Goldman Sachs Group, Inc., 2026. All rights reserved.

Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.