Total 2,337 operations engineer job vacancies in Information Technology category in Hong Kong

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.

About the Role

We are looking for a skilled and proactive Database Engineer to design, implement, and maintain robust, scalable, and secure database systems. You will play a key role in managing both cloud and on-premise data platforms, ensuring high performance, reliability, and data integrity across the organisation.

Key Responsibilities

Database Implementation & Operations

• Design, deploy, and manage databases in alignment with architectural standards and technical specifications
• Configure and maintain data storage solutions across relational, non-relational, and hybrid environments
• Manage cloud-based database infrastructures with a focus on cost efficiency, scalability, and performance

Performance & Optimisation

• Identify and implement database tuning strategies, including indexing and query optimisation
• Monitor and troubleshoot performance issues across relational and NoSQL database systems

Data Lifecycle & Reliability

• Define and enforce data lifecycle policies, including retention, archival, and deletion strategies
• Develop and maintain robust backup and recovery processes to ensure data availability and integrity

Security & Compliance

• Ensure database security, including access controls and adherence to organisational and regulatory requirements
• Collaborate with cross-functional teams to support data governance, compliance, and audit initiatives

Automation & Efficiency

• Automate routine database administration tasks to improve operational efficiency
• Leverage scripting and automation tools to streamline deployment, monitoring, and maintenance processes

Qualifications & Skills

• Bachelor’s Degree in Computer Science, Information Systems, or a related discipline
• Minimum 5 years of experience in database administration across multiple database architectures
• Strong experience with relational databases such as Microsoft SQL Server and PostgreSQL
• Hands-on experience with NoSQL databases (e.g., Cassandra, MongoDB) is an advantage
• Familiarity with object storage solutions such as AWS S3 or Nutanix Object Store
• Knowledge of graph databases (e.g., Neo4j) is a plus
• Strong expertise in performance tuning, indexing, and query optimisation
• Experience in data lifecycle management, including retention and archival strategies
• Proficient in scripting and automation using Python, Bash, or PowerShell
• Strong analytical thinking, problem-solving abilities, and stakeholder collaboration skills

Work Location: One North

(EA Reg No: 20C0312)

Please email a copy of your detailed resume to kayla@talentsis.com.sg for immediate processing.

Only shortlisted candidates will be notified.

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)

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.

• Lead technical engagements with customers & partners on AV maps and localization related topics and support customers with the integration and adaptation of NVIDIA's mapping and localization solutions
• Understand the customer workflow and requirements, help in creating product roadmaps for mapping and localization
• Training customers in NV mapping features and workflows through workshops and product demonstrations
• Shaping and aligning requirements between core teams and customers
• Launching and fixing replay and simulations workflows to generate KPIs on map quality and map related feature performance 
• Debug and triage issues found during vehicle testing, provide and verify NDAS bug fixes
• Support aligning the architecture and requirements between NV, customers and map providers.
• Collaborate across different teams worldwide to support development, debugging and testing of HD Maps on various customer platforms

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you!

Overview of role

As a Data Scientist in P&G, you build algorithms targeted at transforming strategic decisions and operations by bringing advanced analytics and cognitive science into our core work processes.

Your team

This position is part of the P&G Data Science Team. This role is located in Singapore and you will be part of regional Data Science team for Asia-Pacific Middle East (AMA) headquarters. You will report to IT Senior Manager and be accountable to a multi-functional team.

What Success Looks Like

You have a passion for using advanced machine learning methods to solve challenging Research and Development problems. You will do comprehensive model reviews to ensure they are sound in helping to grow our billion-dollar brands and broaden our consumer basis.

You should be able to navigate across a diverse array of modelling applications, and provide advice and consultation to senior business leaders.

Key Responsibilities

• Directly contribute to the design and development of scaled Data Science algorithms
• Applies technical knowledge to massive datasets with exploratory data analysis, feature engineering, and model building to deliver accurate and impactful algorithms
• Quantifies improvement in business areas resulting from algorithms

Qualifications

• Bachelor's Degree in Computer Science or related fields
• Exposure in model validation, back-testing, and other model risk management activities
• Proven Foundation across full spectrum of ML Techniques (Traditional Methods, Deep Learning, Bayesian, etc), Statistics, Data Modeling, and Optimization
• Strong written and verbal communication skills to influence others to act
• Ability to balance multiple priorities
• Good social skills, self-motivated, dynamic and can-do attitude
• Strong enthusiasm and curiosity about the intersection of business and technology

Preferred Experience with Analytical Tools/Applications including:

• Unix/Linux
• Big Data Ecosystem: Databricks, Spark, SQL
• Deep Learning frameworks: Keras, Tensorflow
• Scientific Computing: Python, C++, Java, Scala,
• High-Performance Parallel and Distributing Computing
• GCP, Azure, or AWS

About us

We produce globally recognized brands and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders are able to lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®, Ariel®, Gillette®, Head &Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax® and more. Our community includes operations in approximately 70 countries worldwide.

Visit http://www.pg.com to know more.

Our consumers are diverse and our talents - internally - mirror this diversity to best serve it. That is why we’re committed to building a winning culture based on Inclusion and our ideal candidate is passionate about the same principle: you will join our daily effort of being “in touch” so we craft brands and products to improve the lives of the world’s consumers now and in the future. We want you to inspire us with your unrivaled ideas.

We are committed to providing equal opportunities in employment. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, veteran status, HIV/AIDS status, or any other legally protected factor.

Position Summary

The Software Engineer will be responsible for supporting the design, development, deployment, and maintenance of automation solutions for smart factories / high-tech manufacturing lines. This role involves hands-on execution of automation tasks, integrating equipment with factory systems, troubleshooting connectivity issues, and collaborating with cross-functional teams to ensure solutions meet performance and quality goals.

Key Responsibilities

• Assist in gathering operational requirements and executing technical tasks to support automation solution scopes.
• Develop, test, and implement automation scripts, components, and software integrations to enhance system performance.
• Integrate and test vision-based and spatial-sensing components to support automated inspection and equipment monitoring.
• Write and maintain ETL pipelines to collect, transform, and integrate equipment and MES data into usable formats.
• Maintain software version control, track configurations, and document changes to ensure traceability across automation systems.
• Write database queries and assist in maintaining automation-related databases (monitoring, backup, and recovery procedures).
• Follow established data governance standards, access procedures, and life cycle management guidelines.
• Diagnose, troubleshoot, and resolve daily automation, equipment connectivity, and dataflow issues to minimize downtime.
• Collaborate with vendors and internal stakeholders to support the successful delivery and integration of automation projects.
• Research and test emerging automation, IIoT, and digital technologies under the guidance of senior team members.
• Perform any ad-hoc duties assigned by the Company as and when required.

3.      Qualifications& Skills

• Bachelor’s degree in Electrical, Electronics, Mechatronics, Mechanical Engineering, Computer Science, or a related discipline.
• 3 years of experience in equipment automation (ideally in semiconductor, solar, or electronics manufacturing).
• Working knowledge of equipment interface protocols (SECS/GEM OPC UA, Modbus, etc.).
• Hands-on experience diagnosing and troubleshooting hardware/software connectivity to equipment.
• Experience with PLCs, control systems, sensors, actuators, robotics.
• Proficiency in programming languages (C, C++, C#, Python, VB,Golang, Java, etc.).
• Basic understanding of MES / factory systems integration and IoT/ data connectivity.
• Familiarity with relational databases and writing basic SQLqueries (Oracle, DB2, SQL, Postgresql, MySQL).
• Strong analytical, troubleshooting, and documentation skills.
• Good communication skills and ability to work well in a team.
• Willingness to travel between sites on project assignments.

4.      Preferred/ Additional

• Experience in high-precision, contamination-controlled factory environments such as cleanroom / semiconductor / solar fabs
• Exposure to AI / machine learning applications in automation
• Prior experience leading multi-site deployments
• Familiarity with Industry 4.0 frameworks                                         

Summary

We’re a diverse collection of thinkers and doers, continually reimagining our products, systems, and practices to help people do what they love in new ways. This is a deeply collaborative place, where everything we create is the result of people in different roles and teams working together to make each other’s ideas stronger. That same passion for innovation that goes into our products also applies to our practices, strengthening our commitment to leave the world better than we found it.

There is a great opportunity for talented Software Engineer with a proven track record of delivering complex software applications to work as part of a global Software Engineering team developing solutions for the online platform.

Description

The ideal candidate will be a team player with a forward thinking mindset, ability and confidence to challenge the status quo to define future visions. The individual would be part of the global engineering team delivering state of the art technical solutions working with the latest services, frameworks and tools in Java. You would also need to possess an excellent grasp of technical concepts and have a strong understanding of the full development life cycle process and eager to contribute and influence to the development processes.

Minimum Qualifications

• Bachelors or Masters degree in Computer Science, Mathematics, or relevant industry experience or equivalent is required.
• Proven experience in designing and development of enterprise applications
• Proven experience delivering complex solutions for a multi-tier, distributed, high volume applications
• Proficient in Java language with deep understanding of object oriented concepts and good experience in enterprise Java ecosystem
• Experience working with NoSQL and relational database technologies
• Experience with RESTful APIs.
• Experience with Git, build tools (Maven, Gradle etc) and CI/CD practices
• Good understanding of enterprise architecture patterns and concepts (High availability, load balancing, replication, etc)
• Good communication and collaborative skills

Preferred Qualifications

• Experience in building and deploying applications in public cloud (preferably AWS)
• Experience in building, orchestrating, and deploying highly scalable Microservices using Containerization/Kubernetes
• Experience with Clean Code principles and Test Driven Development (TDD)
• Experience working in fast paced environment involving Agile development methodology and DevOps
• Proven in maintaining high code quality through refactoring, delivering clean, efficient, and maintainable code as a cornerstone of continuous improvement

Apple is an equal opportunity employer that is committed to inclusion and diversity, and thus we treat all applicants fairly and equally. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.

Job Overview

We are looking for a skilled and detail-oriented Database Engineer to design, implement, and maintain reliable database systems. The ideal candidate will ensure high performance, security, and availability of data while supporting business operations and development teams.

Key Responsibilities

• Design, develop, and maintain database systems (SQL/NoSQL)
• Optimize database performance, queries, and indexing
• Monitor database health, performance, and security
• Perform backup, recovery, and disaster recovery planning
• Collaborate with developers to design efficient data structures
• Ensure data integrity, consistency, and compliance with policies
• Troubleshoot database issues and provide timely resolutions
• Implement automation for database management tasks

Requirements

• Bachelor’s degree in Computer Science, Information Technology, or related field
• Proven experience as a Database Engineer / Database Administrator
• Strong knowledge of databases such as MySQL, PostgreSQL, MongoDB, or Oracle
• Experience with cloud platforms (AWS, Azure, or GCP) is an advantage
• Proficiency in SQL and database performance tuning
• Familiarity with data security and backup strategies
• Strong problem-solving and analytical skills

• Experience : 8 years
• (SQL Server / Oracle / DB2 / Netezza) – at-least good working knowledge in 2 of these DBApache Spark Streaming or Apache Flink
• Kafka
• NOSQL databases - Cosmos DB, Document DB
• Spark,Dataframe API
• Hive (HQL)
• Scripting language – Shell or bash
• CI CD
• Experience with at least one Cloud Infra provider (Azure/AWS)
  

Good to have Skills :

• Certifications related to Data and Analytics