Total 2,209 Information Technology job vacancies

Job Title: Big Data Development Engineer (Bachelor Fresh Graduate)

Department: Big Data Team

Stellarchip Technologies is a newly established startup dedicated to developing innovative semiconductor and data‑driven software solutions. As an emerging company, Stellarchip brings together expertise in chip‑level engineering and modern data analytics to help clients gain deeper insights, improve efficiency, and support digital transformation. The team is committed to exploring new technologies, experimenting with scalable architectures, and building high‑performance systems for real‑world applications.

As a brand-new startup committed to developing strong engineering talent, Stellarchip Technologies may provide opportunities such as:

• Short-term overseas technical training with partner companies or technology vendors
• On-site exposure to companies, especially those specializing in big data, cloud platforms, or semiconductor systems

Job Summary

We welcome bachelor’s degree graduates who have strong foundations in computer science and are passionate about backend development and big data technologies. You will participate in building and maintaining bigdata platforms, contribute to data processing workflows, and support system deployment.

Job Responsibilities

1. Backend Development (Top Priority)

• Participate in backend development of big data products using Java/Python.
• Assist in implementing data processing pipelines and simple algorithm components.

2. Big Data Projects (Important)

• Contribute to data modeling, ETL tasks, and distributed computation projects.
• Collaborate with senior engineers to analyze data and optimize workflows.

3. System Operations & Maintenance (General)

• Assist with deploying and upgrading big data software systems.
• Help monitor system health and performance using tools like Grafana or Prometheus.

4. Research & Documentation (Additional)

• Participate in technical exploration of new tools and frameworks.
• Prepare documentation for features, deployment steps, and design notes.

Qualifications

Education

• Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or related STEM fields

Technical Skills

• Solid foundation in Java or Python
• Familiarity with data structures, algorithms, and computer systems
• Basic understanding of big data ecosystems (e.g., Hadoop, Spark, Hive, Kafka) — coursework or projects acceptable
• Exposure to Linux, SQL, Docker, or other engineering tools (bonus but not required)

Soft Skills

• Strong analytical and problem‑solving capabilities
• Passion for learning new technologies
• Good teamwork and communication skills
• Responsible and proactive attitude

Suitable for Candidates Who

• Are bachelor's fresh grads with strong CS fundamentals
• Have completed related academic projects or internships
• Want to grow into a big data backend engineer or data engineer role

Interested applicants may submit their resume to: info@stellarchiptech.com

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

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.

Key Responsibilities

• Design and implement backend modules using Java and related frameworks

• Develop and maintain APIs to support system integration

• Write efficient, reusable, and testable code following best practices

• Troubleshoot application defects and implement long-term fixes

• Optimize application performance and database interactions

• Participate in technical design discussions and code reviews

• Collaborate with frontend, QA, and infrastructure teams for seamless releases

• Maintain technical documentation and contribute to continuous improvements

Required Qualifications

• Degree in Computer Science, Information Technology, or equivalent experience

• 3–5 years of hands-on Java development experience

• Strong knowledge of object-oriented programming principles

• Experience with Spring, RESTful services, and backend integration

• Familiarity with SQL databases and query optimization

• Understanding of version control systems such as Git

• Strong analytical and debugging skills

Job Purpose: Product PCB Design & PCB layout

Key Responsibilities:

• Perform instrumentation and products/module development.
• Design and develop PCB layouts using software like Altium Designer.
• Create schematics, developing PCB layouts, collaborating with Hardware Engineer and Mechanical Engineer, testing, and debugging PCB.
• PCB design includes analogy, digital, LCD Display, Audio, Sensors, RF, and power charging components etc.
• Ensure compliance with PCB manufacturing processes and design rules.
• Generate and manage PCB documentations such as Gerber, ODB, BOM, fab and assembly drawings delivery for fabrication.
• Work with manufacture vendor to seek assembly design requirements, resolve DFM and manufacturing related issues.
• Improve PCB design processes.
• Maintaining and expanding the company PCB libraries.
• Support transfer of products to production.
• Support and manage factory production test and relative engineering activities.

Knowledge And Skill Requirements:

• Bachelor's degree with 3 years and above experience of PCB layout design.
• Familiar with schematic and layout tools such as Altium Designer.
• Knowledge of PCB fabrication and assembly techniques and standards.
• Able to operate electronic equipment such as oscilloscope, logical analyser, spectrum analyser, network analyser.
• Knowledge of signal integrity, power integrity, EMC, and EMI issues and solutions.
• Experience in cost effective consumer electronics design.
• Good communication skill.
• Ability to work independently and as part of a team.

Working Conditions:

- Working conditions are normal for an office environment.

- Work requires willingness to work a flexible schedule.

Role Summary

The Data Engineer will support the design, development, and operation of modern data systems and infrastructure for Data Programme. The role involves building scalable and secure data platforms, developing production-grade data pipelines, and enabling analytics, AI, and machine learning use cases across the ecosystem.

The candidate is expected to work closely with Product Managers, Data Scientists, engineers, and business stakeholders to deliver reusable, maintainable, and secure data solutions that support digital transformation objectives.

Key Responsibilities

1. Data Systems and Architecture

• Design, develop, and maintain end-to-end data systems and supporting architecture
• Build and integrate database systems, backend services, and infrastructure components to support business and analytical use cases
• Ensure solutions are designed with strong consideration for scalability, maintainability, reusability, and security
• Contribute to architecture and engineering decisions for data platforms and services

2. Data Engineering and Pipeline Development

• Develop and maintain production-grade ETL / ELT pipelines for ingestion, transformation, and delivery of data
• Build and administer databases and supporting data services for operational and analytical workloads
• Support reliable and efficient data workflows for reporting, analytics, data science, and machine learning applications
• Monitor, troubleshoot, and optimise data processing jobs, database operations, and pipeline performance

3. Cloud, DevOps and Infrastructure

• Develop infrastructure and services using modern cloud engineering practices
• Support backend, infrastructure, deployment, and operational components required for data systems
• Contribute to automation, CI/CD, monitoring, and operational readiness of data platforms
• Ensure secure and resilient deployment practices across environments

4. Cross-functional Delivery

• Work closely with Product Managers, Data Scientists, users, and other engineers to ensure solutions meet user and organisational needs
• Partner with policy and business divisions to support digital transformation initiatives through data and AI methods
• Translate requirements into implementable technical designs and engineering work items
• Participate actively in iterative product and platform delivery

5. Documentation and Support

• Document system designs, architecture decisions, data flows, and operational procedures
• Support knowledge transfer, maintainability, and operational support for delivered solutions
• Collaborate effectively across multidisciplinary teams and contribute to healthy engineering practices
• Support issue investigation, troubleshooting, and enhancement of production systems

Mandatory Requirements

• Bachelor's Degree in Computer Science, Information Technology, Engineering, or a related discipline, or equivalent practical experience
• Experience in data systems and architecture development, including databases, backend services, DevOps, and infrastructure engineering
• Experience developing and administering production-grade databases and data pipelines
• Strong understanding of scalable, secure, and maintainable engineering practices
• Strong communication and collaboration skills
• Interest in working on public good and supporting digital transformation in the education domain

• Experience with modern cloud-based data engineering environments
• Experience with backend development and system integration
• Experience with frontend development
• Exposure to data science and machine learning applications
• Familiarity with DevOps, CI/CD, infrastructure automation, and monitoring practices
• Experience working in agile, cross-functional product teams
• Experience in public sector, education, or mission-driven digital delivery environments

Seniority Expectations

Associate Consultant (1-3 Years)

• Supports design, development, and maintenance of data systems under guidance
• Contributes to data pipelines, database tasks, and operational support activities
• Demonstrates sound technical fundamentals and willingness to learn

Consultant (4-6 Years)

• Works independently on assigned engineering tasks and modules
• Designs and develops data pipelines, databases, and infrastructure components of moderate complexity
• Participates actively in technical discussions and cross-functional delivery

Senior Consultant (7 Years and above)

• Takes ownership of end-to-end system and architecture components
• Leads design and implementation of scalable, secure, and reusable data platforms
• Supports technical decision-making and mentors junior team members where needed
• Engages confidently with cross-functional stakeholders across product, business, and technical teams

Key Responsibilities:

• Manage RFQ, NPD, NPI, FA and Product Transfer.

• Prepare requisition for order, review supplier offers, make technical bid evaluation if required.

• Liaise and coordinate with customers and other departments pertaining to project activities and order fulfilment

• Work closely with customers on audit, engineering change order

• Responsible for projects transferred from development to operations, ensuring that documents and procedures are in place to independently handle repeat sales orders.

• Monitor and manage Suppliers’ performance to meet delivery, cost and quality targets

• Identify and mitigate program risks and implement risk mitigation plans

• Collaborate with cross-functional team members to meet Key Performance Indicators and Operational deliverables.

• Lead the development of simulation test cases for the verification of process change initiatives.

• Utilize manufacturing and/or business operations experience to quickly frame the operational challenge and visualize a solution

• Support Design, Engineering activities of the day-to-day operations.

• Responsibility & coordination of the complete certification process from application to approval for products

• Creation of technical documentation, e.g. technical drawings (2D drawings and 3D models)

• Knowledge of the supplier landscape and the materials (knowledge of who can manufacture which product)

• Ensuring product compliance, enforce quality assurance protocols and standards

Skills & Qualification:

• Degree/Diploma/Higher Nitec in Electronics/Mechanical/Mechatronics Engineering

• Minimum 1 - 2 years of relevant experience in a manufacturing industry,. Contract manufacturing background will be at advantage

• Experience in communicating with contract manufacturers / suppliers

• Must able to analyse technical drawing/specification

• Experience in SAP system is a plus

• Strong communication and program management skills

• Addresses present issues immediately and independently

• Possess self-confident and willing to share opinions and expertise in discussions

• Able to communicate to all levels in the organization

• Provide support to colleagues in the department and work as a team to achieve departmental goals & targets

Role : System Engineer (LabX)

We invite highly motivated individuals to join our team in providing support to our clients’ biomanufacturing facilities. In this role, you will be tasked with performing System engineer with qualification and System Administration for LabX software application at Client facility and ensuring strict adherence to pharmaceutical GMP and regulatory standards.

Job Description (JD):

1. Serve as the System Administrator for LabX software
2. Oversee and manage all method modifications within LabX
3. Lead the qualification of new laboratory equipment (e.g., pH and conductivity meters) integrated with LabX
4. Manage change control processes in compliance with quality standards
5. Maintain and manage CSV (Computer System Validation) documentation 

Timeline: 1 year contract

As a software engineer, you will be part of an international Scrum team that uses agile standard methodologies to build stable and maintainable software.

You will apply the latest techniques in C++ and C# software design to develop software that ranges from machine control up till modern WPF user interfaces.

You will have the opportunity to occasionally travel to customers and discover new places and cultures along the way.

Monthly team training sessions and access to online learning portals will ensure that your knowledge stays up-to-date and allow you to grow beyond your current know-how.

From on the edge software development, designing advanced machines, defining and implementing image processing algorithms or crafting new ways to do optical inspections, we do it all, and we need your talent to keep going one step beyond!

Minimum Qualifications

• Minimum Bachelor's Degree in Engineering and 5 years of experience
• Experience with C++ software development
• Knowledge of object-oriented design, design patterns, and UML
• An affinity to automation. Knowledge of PLC programming is a plus
• Knowledge of C#, WPF, Python, GIT and Scrum are a plus
• Strong communication, analytical, and problem-solving skills

Requirements

• 5+ years of development experience
• Strong JavaScript/TypeScript, HTML/CSS, React/Vue/Angular
• Experience with Chrome Extension APIs and browser security
• Good understanding of cryptography, JWT/OAuth2, REST APIs
• Exposure to Java backend integration

Key Responsibilities

• Build a Chrome Extension (MV3) for secure credential management
• Implement autofill, password storage, sharing, and vault features
• Integrate FIDO2/WebAuthn authentication
• Connect to Java/Tomcat backend via secure APIs
• Ensure strong encryption, security, and compliance (OWASP)

Good to have

• IAM / password manager experience
• SAML / OpenID Connect
• Security certifications or testing experience

As a New Product Introduction (NPI) Software Engineer, you will interact with a multidisciplinary team consisting of the product development team, delivery team, and program management team within the Engineering department.
 

In the context of the Mobile/IOT domain, you will be required to innovate, design, develop robust software and tools to ensure that our product can be industrialized. You will be expected to support multiple projects and collaborate with different teams, which will require strong communication, planning and organizational skills.

Responsibilities:

• Work closely with Product Owner to understand user requirements

• Design, implement, develop and validate the software and solution based on product and standard specifications

• Collaborate with multidiscipline team spread across multiple locations and time zones to finalize your solution or to challenge the requests if unsound

• Write end-user guides and the required documentations

• Apply software security practices to protect the system from vulnerabilities and threats

• Actively support products by providing prompt response to users, understand the problems and/or requests and provide them solutions.

• Contribute to innovative idea, developing them to improve operations, increase efficiency and productivity

• Continuous Learning, stay updated with the latest software engineering practices share and learn

Requirements:

• Bachelor’s Degree in Electrical / Electronics / Computer Engineering / Computer Science

• Min. 2 years of experience in C#, Java/Java Eclipse maven or Python

• Experienced in development of Web API and standalone program

• Experienced with Maven, Gitlab and Continuous Integration and Deployment

• Experience working on Automation tools and technologies will be a plus

• Experience in Validation practices & testing environment, such as Robot Framework would be a plus

• Self motivated, like to take initiative and has high respect of quality and able to meet tight deadlines

• Able to work in agile environment and self-organize

• Interested to pick up new skills and technology and apply them

System Engineer

Job Description

• ·         Administer and support Microsoft 365 services and on-prem:
• ·        Exchange Online, SharePoint Online, OneDrive, Microsoft Teams
• ·         Windows server OS administration, Active directory administration and migration
• ·        Microsoft exchange server , SCCM and WSUS
• ·         Implement and manage Microsoft Intune (MDM/MAM):
• ·         Device compliance policies, configuration profiles, apps deployment

Requirements

• 3–6 years of experience in Microsoft 365 administration
• Proven experience working in a Managed Services / MSP environment
• Strong hands-on experience with Microsoft Intune
• Experience with SaaS / email migrations
• Familiar with Microsoft Copilot for Microsoft 365 (deployment or support experience preferred)
• Knowledge of Windows, macOS, iOS, Android device management
• Good understanding of Entra ID
• Strong troubleshooting, communication, and documentation skills

*Only shortlisted candidates will be notified*

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.

Alternatively, you may also email your resume to us at emily.fong@atomrecruit.com

Emily Fong
Senior Talent SpecialistAtomrecruit Pte. Ltd. | MOM EA License No.: 15C7443EA Personnel Reg No.: R

1768368

We’re Hiring: Infra System Engineer

Join us in supporting enterprise IT and cloud infrastructure by ensuring stable, secure, and well‑managed systems and networks. If you have hands‑on experience with Windows infrastructure, virtualization, scripting, and enjoy working with both technical teams and vendors, this role offers a strong opportunity to grow in a structured operational environment.

⭐ Job Highlights

• Contract Duration: 12 months
• Location: 169 Bukit Merah Central, Singapore 150167
• Work Hours: Monday to Friday, Office Hours
• Qualification: Degree or Diploma in Computer Science, Computing, Electrical Engineering or IT equivalent

Job Summary

Work directly with the Sales Team and provide them with technical guidance on product offering and solution based on the customer’s technical requirement and the company's products and services.

Main Responsibilities

• Provide the technical expertise to help customers find the best product and service solutions for their requirements & needs.

• Maintain relationships with the key suppliers, contractors and clients to ensure that the products and services offered meet the customer’s technical and operation requirement and make recommendations for promoting sales.

• Evaluate the technical specification and requirement for various field applications.

• Analyze the feasibility of implementing the Company’s products and services to meet the Customer’s technical expectation for successful field applications.

• Perform System sizing and design the solution to meet the technical requirement for various field applications.

• Propose the optimized solution to the Sales Team and make recommendations to promote sales.

• Provide technical support to customers and Sales Team on technical queries related to the products and services offered.

• Coordinate with System Engineering and Product Management team to identify and resolve product issues.

• Develop and maintain relationship with Sales Team, Customers and key Suppliers to ensure the smooth integration of solution.

• Provide troubleshooting and technical advice on product issues and coordinate with the Production Team for RMA support.

• Assist the Sales Team with the Product Transfer Price to complete the Quotation.

• Participate in technical meetings with Sales Team and Customers when required.

• Respond to the changes in the customer’s technical requirement and provide advice to the Sales Team to revise the product offering accordingly.

Job Requirements

• Minimum 5 years of relevant experience in Telecom Industry with at least 5 years or relevant industry
• Strong knowledge & proven experience of Electrical System / solution for Telecom Industries
• Technical knowledge of AC UPS / DC Rectifiers and batteries
• Excellent negotiation, networking, and communication skills
• Good technical presentation skills
• Good problem-solving skills and an analytical mind set
• Highly adaptable, able to multi-task in a fast-paced environment
• Self-driven, independent with ability to complete assign tasks with minimum supervision
• Willing to travel as and when required.

Company Overview
Our client is known for specializing in advanced concrete technology. They provide innovative solutions that enhance the durability, impermeability, and resilience of concrete structures. As they continue to drive growth and expansion, they are now seeking a Technical Sales Engineer to join their team and contribute to their ongoing success.

 Key Responsibilities

• Drive business growth by achieving and exceeding assigned sales targets.
• Develop and present technical product specifications to architects, consultants, and main contractors.
• Provide expert advice on product applications and performance to support client decision-making.
• Build and maintain long-term relationships with clients, ensuring consistent communication and trust.
• Collaborate with internal teams to tailor solutions that meet project-specific requirements.
• Conduct site visits and technical presentations to educate stakeholders on product benefits.
• Monitor market trends and competitor activities to identify new business opportunities.
• Maintain accurate records of client interactions, project specifications, and sales activities.

Key Requirements

• Diploma or higher qualification, preferably in civil engineering, construction, or a related field.
• Minimum 2 years of experience in technical sales or specification handling within the construction industry.
• Strong interpersonal and communication skills, with the ability to engage professionals across various levels.
• Analytical mindset with a proactive approach to problem-solving.
• Proficient in MS Excel, PowerPoint, and Word.
• Must possess a valid driver’s license and own a car.
• Friendly, confident, and a team player with a strong sense of accountability and drive.

Readyto Take the Next Step?

Interested applicants, pleaseclick APPLY NOW.

Do note that we willonly be in touch if your application is shortlisted.

Frances Wong En Ci

JAC Recruitment PteLtd 

EA License Number:90C3026

EA Personnel:R26160019

#LI-JACSG

#countrysingapore

Job Summary:

The role involves providing comprehensive technical support and maintenance for operating systems, middleware, databases, LDAP, and container orchestration platforms. The candidate will be responsible for deploying, configuring, and managing these systems to ensure smooth operations in development and testing environments. In addition to hands-on technical tasks, the role requires supporting bid activities by producing infrastructure sizing and deployment topology, coordinating with cross-functional teams, and leading infrastructure-related discussions to enable effective planning and deployment at the customer site.

Key Roles and Responsibilities:

⦁ Provide support and maintenance for operating systems, including Windows, Linux, and IBM AIX, Solaris.

⦁ Deploy, configure and maintain middleware infrastructure, including IBM WebSphere, IBM MQ, Red Hat JBoss Enterprise Application Platform, and Red Hat JBoss AMQ.

⦁ Install, configure, and manage database servers, including IBM DB2, PostgreSQL, MySQL.

⦁ Install, configure, and maintain LDAP servers, including IBM Security Directory Server and Apache LDAP.

⦁ Install, configure, and maintain container orchestration platforms, including Kubernetes and Red Hat OpenShift Container Platform (OCP) clusters.

⦁ Handle technical matters such as troubleshooting, patching, and upgrading systems, both operating systems and middleware.

⦁ In addition to hands-on technical responsibilities, support bid activities by providing infrastructure sizing, coordinating with cross-functional stakeholders, and leading end-to-end technical discussions related to infrastructure planning and deployment.

Job Requirements and Qualifications:

⦁ Minimum 5-8 years of IT experience.

⦁ Ideally, exposure to both operating system and middleware administration.

⦁ Solid understanding of application architecture, covering authentication, web server, database servers, application servers, and messaging servers.

⦁ Proficient in Unix Shell scripting.

⦁ Hands-on experience with containerization technologies like Docker, Kubernetes, and OpenShift.

⦁ Eagerness to explore legacy systems and embrace new cloud platform services, along with a positive attitude to join the team on this journey.

⦁ Possession of any cloud certifications (e.g., AWS, Azure, GCP, or Red Hat) will be advantageous.

⦁ Excellent communication and collaboration skills to work effectively with cross-functional teams and stakeholders.

RESPONSIBILITIES

• You will work with delivery manager to develop and implement applications to support Business needs.
• Liaise with the infrastructure support and development teams.
• Oversee Business-As-Usual (BAU) activities, ensuring the stability and efficiency of the company’s applications.
• Collaborate with users and vendors to promptly address and resolve application issues, ensuring minimal disruption to operations.
• Work with our infrastructure team to test and complete various server and network upgrade projects.

REQUIREMENTS

• Strong analytical, troubleshooting, and problem-solving skills.
• Knowledge of SQL and database concepts.
• Familiarity with API testing tools such as Postman.
• Understanding of application architecture, integrations, and REST APIs.
• Able to contribute individually and collaborate well with cross-functional team.
• Ability to work in a fast-paced environment and manage multiple priorities.
• Hands-on experience in Linux, Unix is an added advantage.
• Experience in working with vendors to resolve complex technical issues is an added advantage.
• Proactive individual who takes ownership and drives tasks through to completion.

EXPERIENCE

• Between 2 – 5 years of Application Development or technical project coordination
• Good understanding of infrastructure and software development life cycle.
• Familiarity with ticketing systems and incident management processes.
• Good understanding of software development life cycle models (both Waterfall and Agile).
• Knowledge of Linux/Windows environments.

The Network Engineer is responsible for the installation, commissioning, and 24/7 support of the companys deployed network solutions and critical network infrastructure.

The ideal candidate will have a strong background in enterprise network design, implementation, and security, along with proven troubleshooting skills and the ability to manage complex projects independently.

Responsibilities:

Design, implement, and manage enterprise LAN/WAN, VPN, and wireless networks across multiple sites.

Administer and optimize core networking equipment, including routers, switches, firewalls, and load balancers (Dell, Cisco, Palo Alto, Fortinet, etc.).

Configure and troubleshoot routing protocols (BGP, OSPF), VLANs, QoS, and MPLS.

Monitor network health and performance using tools like Nagios, PRTG, Wireshark, or NetFlow.

Perform security hardening on network devices, conduct firewall rule tuning, and ensure compliance with internal and regulatory standards (e.g., IM8)

Lead and execute network-related projects such as new deployments, data centre migrations, upgrades, and integrations.

Collaborate with system administrators, security engineers, and application teams to ensure stable and secure network operations.

Maintain comprehensive network documentation, topology diagrams, and change records in alignment with audit and compliance requirements.

Provide Level 1 to Level 2 support for escalated incidents.

Requirements:

Degree in Computer Science, Information Technology, or related field (or equivalent hands-on experience).

5+ years of experience in network engineering within enterprise or data centre environments.

Strong hands-on experience with Dell network switches, Cisco IOS/NX-OS and/or Fortinet FortiGate firewalls.

Good understanding of TCP/IP, IPv4/IPv6, DHCP, DNS, SNMP, SSL/TLS and NAT.

Experience in high-availability network design and redundancy strategies.

Strong foundation in network security technologies and concepts (e.g., IDS/IPS, IPsec, SSL VPNs).

Experience in 24/7 production environments with strong troubleshooting and diagnostic skills.

Comfortable working independently and leading implementation or troubleshooting activities.

Strong written and verbal communication skills, including the ability to explain technical concepts to non-technical stakeholders.

Preferred Certifications (not mandatory):

Cisco Certified Network Professional (CCNP)

Fortinet Network Security Expert (NSE)

Palo Alto Network Security Engineer (PCNSE)

CompTIA Security+

ITIL Foundation

Job ID: 4RX788VV

All Successful candidates can expect a very competitive remuneration package and a comprehensive range of benefits.

Kindly email your resume in a detailed Word format to gesse.tan@peopleprofilers.com

We regret that only shortlisted candidates will be notified

People Profilers Pte Ltd

· 20 Cecil Street, #08-09, Plus Building, Singapore 049705

· Tel: 69509745

· EA Licence Number: 02C4944

· EA Registration Number: R1108448

· EA Personnel: Tan Lili Gesse

Role Overview:

As a Technical Support Engineer at Transformists Network, you will be the first line of support for our clients and partners, addressing technical inquiries and troubleshooting issues related to our product offerings. This role requires strong technical knowledge, excellent problem-solving skills, and the ability to communicate effectively with both technical and non-technical stakeholders. You will play a critical role in ensuring customer satisfaction and maintaining the high standards of service that Transformists Network is known for.

Technical Support Engineer — Requirements

Core Responsibilities

• Resolve customer issues via phone, email, or remote support sessions
• Reproduce reported issues in-house and respond in a timely manner
• Configure and install network devices and services (routers, switches, firewalls, load balancers, VPN, QoS), perform system upgrades including patches and security configurations, and monitor performance for system availability and reliability
• Collaborate with other Technical Support Engineers on cases to build shared expertise

Technical Knowledge Required

Key areas include storage concepts and terminology, hypervisor concepts, knowledge of Microsoft OS products, and knowledge of Linux OS

• Virtualization & Cloud — Experience in virtualization and cloud computing is preferred.
• Networking fundamentals (routing, switching, firewalls, VPN)
• Storage architecture (block, file, tiered storage)
• Linux administration
• Windows Server familiarity

Soft Skills & Mindset

Candidates must have good interpersonal, communication, and customer service skills, be comfortable facing new challenges and technologies, and have a strong aptitude for learning new technologies in a customer-facing environment.

• Self-starter and self-learner
• Strong problem-solving under pressure
• Collaborative — support culture emphasizes no finger-pointing

Job Description

Infrastructure Engineer (Cloud and Network Administrator) is responsible for maintaining the stability, security, and performance of the organization’s IT infrastructure. This includes administering servers, storage, and networking components, ensuring business continuity through proactive maintenance, and providing frontline technical support. The role also contributes to documentation, operational process improvements, and compliance with IT security and regulatory standards.

Duties and responsibilities

·        Administer, monitor, maintain and optimize WAN, LAN and Wi-Fi networks (on-prem and cloud) for optimal performance and maximum availability.

·        Ensure all the Network devices (Routers, Switches, Load Balancers, Wireless LAN Controllers) & Firewalls remains in good working condition.

·        Configure, troubleshoot, and resolve any issues within Network and Security areas, including performance and capacity issues.

·        Respond to production issues speedily, including bringing up the defective hardware during and after office hours.

·        Taking the lead in updating & documenting all Network configuration, Firmware, Network diagrams and all the cabling for all the End-Devices.

·        Define processes to manage the Network infrastructure; identify and drive service improvement initiatives to improve overall network operation quality and productivity.

·        Work with vendor to manage and coordinate the infrastructure security reviews, assessments and penetration tests.

·        Work with the cyber security team in the remediation of network related vulnerabilities.

·        Perform patching, updates, and upgrades to ensure security, performance, and compliance.

·        Execute and verify regular backups, test disaster recovery procedures, and support business continuity planning.

·        Troubleshoot and resolve infrastructure incidents escalated from the helpdesk or monitoring systems.

·        Document system configurations, SOPs, and troubleshooting guides.

·        Monitor and report on system performance, availability, and capacity metrics.

·        Support IT audits, compliance checks, and remediation of vulnerabilities.

·        Collaborate with cross-functional IT teams to support application deployments and infrastructure changes.

Qualifications

·        Diploma / Bachelor’s degree (or higher) in Electrical Engineering or Computer Science / Information Technolog yor relevant discipline.

·        At least 2 years of relevant working experience in network administration.

·        Familiar with the following Network configuration & setup :BGP, OSPF, MPLS, VPN Tunnel (GRE & IPSec), VRF, HSRP / VRRP, QoS, IP FlowTop Talkers, IP Accounting, ARP, NAT, PAT, Port Channel, VXLAN, Policy Routing.

·        Familiar with Security Appliances such as Fortigate, and/or PaloAlto.

·        Have experience with Security Remediation Audit and RFP / RFQ Tender requirements.

·        A motivated person with the ability to work independently, a good team player and goal-oriented individual.

·        Good interpersonal, communication and analytical skills.

·        Certifications (preferred, but not mandatory):

o   Cisco Certified Network Associate (CCNA)

o   AWS Certified Cloud Practitioner

o   CompTIA Server+ or Network+

o   ITIL Foundation certification

Skills

·        Strong troubleshooting and system monitoring abilities.

·        Proficiency in performing system backups, recovery testing, and patch management.

·        Ability to automate routine tasks using basic scripting(PowerShell, Bash, Ansible).

·        Competence in using monitoring and ticketing tools.

·        Clear and structured documentation and reporting skills.

·        Effective time management and ability to prioritize tasks in adynamic environment.

Descriptions:
-Must have at least 6 years experiences in network design and implementation, network hardware configuration, network troubleshooting and network performance tuning network and system administration;

 -Must have at least 6years experiences in managing network products such as Cisco, F5, and etc;

- Must have at least 6 years experiences in administering Windows Server and Linux Operating Systems

Responsibilities:
- Must have sound knowledge of various network protocols and topologies, including LAN, WAN, switches, routers and servers;

- Should preferably have experience in managing Network Access Control (NAC) System suchas ClearPass, SolarWinds, and Infoblox.

The Programmer shall be required to:

a.Administer and troubleshoot network system infrastructure;

b.Administer and troubleshoot Windows Server and Linux Operating Systems;

c.Perform installation and upgrading of network system and servers;

d.Perform installation of operating systems, software applications and device drivers on the Servers;

e.Perform backup and recovery of network devices and servers;

f.Perform simple scripting in Windows Server and Linux environment;

g.Perform any other tasks related to network and server hardware and software, end-user support and project works as may be assigned by the supervisor;

h. Able to administer Clear Pass Network Access Control, SolarWinds, and Infoblox.