Total 553 Engineering job vacancies in High Wycombe, HP20 1UA

Your Role

We are looking for an experienced Maintenance & Service Engineer/ Welding Engineer/ Senior Technician responsibility for support troubleshooting and repair work on welding machine. You will perform preventive maintenance on machines and cost reduction. Support new equipment installation and major periodic maintenance activities as required.

What Will You Do

• Support production troubleshooting and repair on welding machine
• Perform preventive maintenance on machines and cost reduction
• Support new equipment installation and maintenance activities
• Other ad-hoc duties assigned by manager

What Do We Want

• Min Diploma & above in electrical and electronic/ engineering / equivalent.
• At least 1-2 years & above of experience in electrical and electronic/ in service of welding products/system background.
• A team player with good communication and interpersonal skills.
• Willing to travel overseas as needed.

What Will You Get In Return
You will be given exposure to a hold a key position in a growing organization with attractive rewards and a wide range of benefits. You will entitle a Gross salary up to S$3300 + attractive perks.

What You Need to do Now
Click "Apply" and please include the following information in your resume:

• Personal Particulars with recent photograph
• Education background
• Work experiences in point forms
• Reason(s) for leaving
• Current and Expected salary
• Date of availability / Notice Period

Note:
Only shortlisted candidate will be notified via email for an interview invitation

Your Role
We are looking for an experienced Senior Sales Engineer / Sales Engineer (Laboratory/ Electronic Testing) to develop & identify business opportunities including sales visits, preparation of proposals, products & proposals presentation, contracts negotiation and closing of sales.

What Will You Do

• To develop and identify business opportunities
• To do sales visits, preparation of proposals & closing of sales
• To develop sales strategies for the growth of existing and new accounts
• To market wide range of products and provide customers with solutions
• To meet sales quota set and participate in yearly and periodic budget exercises.

What Do We Want

• At least Diploma/ Degree in Electronic/ Telecommunication / Engineering in relevant fields
• Min 2-3 years of relevant work experience in electronic testing / laboratory fields.
• Good communication skill & has pleasant personality and positive attitude.
• Possess own transport will be advantage.
• Willing to travel.

What Will You Get In Return
You will be given exposure to a hold a key position in a growing organization with attractive rewards and a wide range of benefits. You will entitle a Gross salary up to S$3800 + attractive perks.

What You Need to do Now
Click "Apply" and please include the following information in your resume:

• Personal Particulars with recent photograph
• Education background
• Work experiences in point forms
• Reason(s) for leaving
• Current and Expected salary
• Date of availability / Notice Period

Note:
Only shortlisted candidate will be notified via email for an interview invitation

Job Summary

You will be working with a team of professional engineers to challenge status quo, think different, thrive in ambiguity to meet mission objectives of our customers. You will lead a team of software engineers and work closely with other cross functional teams, Service Delivery Managers and Project Managers to deliver quality satellite ground software systems to our customers.

Job Responsibilities

• Drive the design and architecture of satellite ground control and antenna management software systems.
• Lead software team in implementing design, testing, verification, and validation of all software components.
• Implementation of cybersecurity measures for software applications
• Generate and maintain software development documentation.
• Plan and provide necessary software maintenance, training, and consultancy to users on the deployed software.
• Continuously develop new skills & techniques in software technologies to improve and reduce software development time and effort.
• Participate in the definition and development of future products.
• Collaborate with various stakeholders including customers, and engineering teams across organizations.
• Able to challenge the status quo, think different, thrive in ambiguity, care for team members and being ever curious.

Job Requirements

• Knowledge in Computer Engineering or related field.
• At least 8 years’ experience in mission critical system software development.
• Proficient in developing full stack applications, preferably with C#, JS.
• Experience with database, API design, network architecture, message broker, and cloud technologies.
• Experience with core engineering infrastructure tools such as GIT servers, CI/CD pipelines, Container Technologies.
• Familiar with agile software development lifecycles.
• Good understanding of hardware.
• Able to communicate in English and work in a fluid, innovative environment.
• Singaporean only

Please submit resumes to john@oaktree.com.sg with the following details in MS Word format:

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

John Goh Meng Chye

EA License No : 06C4642

EA Reg No : R1102621

We regret that only shortlisted candidates will be notified.

ABOUT US

LawNet Technology Services (LTS) is the technology company behind LawNet, Singapore’s leading portal for legal research, information and transactions. An indispensable tool for the legal community since 1990, LawNet is subscribed by a majority of Singapore lawyers and is also accessible by anyone outside the profession. Users can conduct research on Singapore primary legal materials (Singapore Law Reports, unreported judgments and legislation) and secondary materials (such as Parliamentary reports, legal news, textbooks and journals). LawNet continues to enhance its services and content while maintaining its affordable and highly competitive subscription rates, making it an essential resource for the legal community.

LTS is a wholly owned subsidiary of the Singapore Academy of Law (SAL), a promotion and development agency for Singapore’s legal industry. In addition to running LawNet, LTS manages the technology driving SAL’s support services for Singapore’s legal industry and statutory functions such as stakeholding services and appointment of Senior Counsel, Commissioners for Oaths and Notaries Public.

Led by a Board of Directors who understands both the capabilities of technology and the needs of the legal profession, LTS continues to develop bold and innovative products and services that will better serve the needs of the legal community.

POSITION

MLOps Engineer

REPORTING STRUCTURE

The MLOps Engineer will report to the Senior AI Solutions Architect of LawNet Technology Services (LTS).

ABOUT THE ROLE

We are seeking an experienced MLOps Engineer specializing in large language models at LawNet Technology Services. You will be at the forefront of operationalizing and scaling our AI capabilities. This role demands a unique blend of skills in machine learning, software engineering, and cloud technologies to efficiently deploy, monitor, and manage our large language models in production. Your expertise will directly contribute to the reliability, efficiency, and scalability of our AI services.

RESPONSIBILITIES

• Design and implement robust MLOps pipelines tailored for large language models, ensuring seamless transition from development to production.
• Work closely with data scientists and AI researchers to automate and optimize the model training, fine-tuning, inference and evaluation processes for our large language models on cloud infrastructure.
• Ensure the LLM can be seamlessly integrated with the serving infrastructure managed by the software engineering team.
• Explore and implement techniques for continuous learning of the LLM as new user data becomes available.
• Develop and implement strategies for monitoring model performance (accuracy, latency, fairness) in production.
• Set up alerts and dashboards to proactively identify and troubleshoot potential issues with the LLM.
• Stay up-to-date on the latest advancements in MLOps tools and methodologies.
• Implement monitoring and logging systems to track model performance, resource utilization, and operational health, enabling proactive maintenance and optimization.
• Ensure compliance with data privacy and security protocols throughout the model lifecycle.
• Facilitate continuous integration and delivery (CI/CD) processes for machine learning models, incorporating automated testing and quality assurance practices.
• Collaborate with stakeholders to understand operational requirements and challenges, translating them into technical solutions that enhance our AI capabilities.
• Stay updated with the latest advancements in MLOps, cloud technologies, and large language model development, incorporating best practices to maintain our competitive edge.

SKILLS & QUALIFICATIONS

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• Solid experience in MLOps, DevOps, or software engineering, with a specific focus on machine learning and large language models.
• Strong experience in building and managing machine learning pipelines.
• Proficiency in cloud computing platforms (AWS, GCP, Azure) and services related to machine learning and large-scale computing.
• Strong background in containerization and orchestration technologies (Docker, Kubernetes), as well as infrastructure as code (Terraform, CloudFormation).
• Demonstrated ability in programming with Python and experience with ML frameworks (TensorFlow, PyTorch, Hugging Face).
• Understanding of best practices for data security, privacy, and compliance in the context of AI and machine learning.
• Excellent problem-solving skills, with the ability to work in a fast-paced, evolving environment.

The level of offer and appointment designation will commensurate with applicants’ relevant experience and track records. Successful candidate will be offered a 2-year contract in the first instance.

Please provide your resume, including details of your currently monthly salary, total annual compensation package, and salary expectations.

Assist and report to the Project Manager at construction site.

Ensure works are carried out according to the approved technical drawings, quality procedures, EHS and ISO requirements.

Ad-hoc matters as assigned by the PM which is necessary for the execution of the project.

EA Licence No. 16C7962

ABOUT US
LawNet Technology Services (LTS) is the technology company behind LawNet, Singapore’s leading portal for legal research, information and transactions. An indispensable tool for the legal community since 1990, LawNet is subscribed by a majority of Singapore lawyers and is also accessible by anyone outside the profession. Users can conduct research on Singapore primary legal materials (Singapore Law Reports, unreported judgments and legislation) and secondary materials (such as Parliamentary reports, legal news, textbooks and journals). LawNet continues to enhance its services and content while maintaining its affordable and highly competitive subscription rates, making it an essential resource for the legal community.

LTS is a wholly owned subsidiary of the Singapore Academy of Law (SAL), a promotion and development agency for Singapore’s legal industry. In addition to running LawNet, LTS manages the technology driving SAL’s support services for Singapore’s legal industry and statutory functions such as stakeholding services and appointment of Senior Counsel, Commissioners for Oaths and Notaries Public.

Led by a Board of Directors who understands both the capabilities of technology and the needs of the legal profession, LTS continues to develop bold and innovative products and services that will better serve the needs of the legal community.

POSITION
AI/ML Engineer (Backend)

REPORTING STRUCTURE

The AI/ML Engineer will report to the Senior AI Solutions Architect of LawNet Technology Services (LTS).

ABOUT THE ROLE
As an AI/ML Engineer at LTS, you will play a crucial role in developing and enhancing our AI-driven products and services. We're seeking a talented Software Engineer to join our team and be responsible for deploying, maintaining, and scaling the infrastructure that serves our custom LLMs for a variety of use cases.

RESPONSIBILITIES

• Design, develop, and implement highly scalable backend services on AWS to support efficient training and inference of our LLM.
• Keep abreast of developments in AWS or other services to manage the LLM training and inference operations.
• Develop and optimise APIs to facilitate communication between the LLM and frontend applications for user interaction with functionalities from a variety of use cases.
• Design and implement data pipelines for efficiently moving training data to and from the LLM training environment on AWS (e.g., S3 Buckets, EFS storage).
• Integrate containerization technologies like Docker and container orchestration platforms like Amazon Elastic Kubernetes Service (EKS) for managing the LLM inference environment.
• Configure and implement robust security practices within your backend services to protect the LLM and user data at rest and in transit.
• Develop and implement logging and monitoring solutions (e.g., CloudWatch Logs, CloudWatch Metrics) to track the health and performance of the backend infrastructure and the LLM.
• Collaborate with ML and Front Eng Engineers to understand their specific requirements for training and inference, and translate those needs into efficient backend solutions.
• Collaborate with MLOps Engineers to automate the deployment and management of backend services and the LLM.
• Stay up-to-date on the latest advancements in AWS services relevant to backend development and LLM infrastructure.

SKILLS & QUALIFICATIONS

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Linguistics, or a related field.
• Proven experience in NLP or related areas, with a strong portfolio of projects demonstrating expertise in data engineering and model training/finetuning.
• Solid understanding of machine learning algorithms, language modeling, and their applications.
• Proficiency in programming languages such as Python, and experience with NLP libraries (e.g., NLTK, spaCy, Hugging Face).
• Familiarity with popular vector database platforms like Pinecone, Faiss, or Milvus would be beneficial.
• Experience with cloud computing platforms and services, and the ability to deploy and manage large models in a cloud environment.
• Experience with data pipelines and data processing tools on AWS (e.g. AWS Lambda).
• Experience with Infrastructure as Code (IaC) tools like Terraform or CloudFormation
• Strong problem-solving skills, with a creative and analytical approach to tackling complex challenges.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

The level of offer and appointment designation will commensurate with applicants’ relevant experience and track records. Successful candidate will be offered a 2-year contract in the first instance.

Please provide your resume, including details of your currently monthly salary, total annual compensation package, and salary expectations.

ABOUT US

LawNet Technology Services (LTS) is the technology company behind LawNet, Singapore’s leading portal for legal research, information and transactions. An indispensable tool for the legal community since 1990, LawNet is subscribed by a majority of Singapore lawyers and is also accessible by anyone outside the profession. Users can conduct research on Singapore primary legal materials (Singapore Law Reports, unreported judgments and legislation) and secondary materials (such as Parliamentary reports, legal news, textbooks and journals). LawNet continues to enhance its services and content while maintaining its affordable and highly competitive subscription rates, making it an essential resource for the legal community.

LTS is a wholly owned subsidiary of the Singapore Academy of Law (SAL), a promotion and development agency for Singapore’s legal industry. In addition to running LawNet, LTS manages the technology driving SAL’s support services for Singapore’s legal industry and statutory functions such as stakeholding services and appointment of Senior Counsel, Commissioners for Oaths and Notaries Public.

Led by a Board of Directors who understands both the capabilities of technology and the needs of the legal profession, LTS continues to develop bold and innovative products and services that will better serve the needs of the legal community.

POSITION
NLP Engineer

REPORTING STRUCTURE

The NLP Engineer will report to the Senior AI Solutions Architect of LawNet Technology Services (LTS).

ABOUT THE ROLE
As an NLP Engineer at LTS, you will play a crucial role in developing and enhancing our AI-driven products and services. We're seeking a skilled Data/NLP Engineer to join our team to develop and drive a data strategy to optimise model performance and manage the data pipelines for training and evaluating our custom LLMs.

RESPONSIBILITIES

• Work closely with domain experts to understand data sources, formats and structure.
• Collaborate with Machine Learning Engineers and MLOps Engineers to understand data requirements for LLM training and inference.
• Engage in data engineering tasks, including data collection, preprocessing, quality control and augmentation to ensure high-quality datasets for model training.
• Develop from scratch and fine-tune both traditional NLP and LLM models on LTS cloud infrastructure, optimizing for safety and performance (measurable via benchmarks)
• Collaborate with domain experts and carry out independent research to optimise and develop product evaluation suites to measure model and product performance.
• Explore and implement techniques for mitigating bias and ensuring fairness within the training data for the LLM.
• Lead in the development and implementation of strategies for data augmentation improve LLM performance.
• Collaborate with AI and MLOps Engineers to integrate NLP models into automated pipelines.
• Stay abreast of the latest NLP techniques and methodologies, experimenting with new models and approaches to maintain our competitive edge.
• Conduct rigorous testing and validation of NLP models to ensure robustness and reliability.
• Document and present model development processes, results, and insights to both technical and non-technical stakeholders.

SKILLS & QUALIFICATIONS

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Linguistics, or a related field.
• Proven experience in NLP or related areas, with a strong portfolio of projects demonstrating expertise in data engineering and model training/finetuning.
• Solid understanding of machine learning algorithms, language modeling, and their applications.
• Proficiency in programming languages such as Python, and experience with NLP libraries (e.g., NLTK, spaCy, Hugging Face).
• Experience with cloud computing platforms and services, and the ability to deploy and manage large models in a cloud environment.
• Strong problem-solving skills, with a creative and analytical approach to tackling complex challenges.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

The level of offer and appointment designation will commensurate with applicants’ relevant experience and track records. Successful candidate will be offered a 2-year contract in the first instance.

Please provide your resume, including details of your currently monthly salary, total annual compensation package, and salary expectations.

Cathay Petroleum International was established in 2003 as an independent physical trading business. For almost 20 years, we have been sourcing crude oil from all over the world and delivering cargoes to satisfied consumers and customers whenever and wherever they need them. Today, we are a global energy and commodities group that trades millions of barrels of oil a week. Every day, our experienced team works together to add value to the international commodities market. Our strong capital position and robust network of relationships has enabled us to grow from strength to strength and retain a record of profitability.

Our head office is situated in Singapore, the centre of the world’s busiest energy routes, allowing us to easily manage the flow of energy from West to East. In 2021, Cathay was proud to expand our growing organisation by opening a new trading office in London, allowing our traders to work more efficiently covering all trading hours.

POSITION: ANALYST

LOCATION: SINGAPORE

KEY RESPONSIBILITIES

• Implementation of financial models, particularly VaR and Stress Test models, to bolster our risk management capabilities.

• Conduct in-depth analysis of large datasets to pinpoint risks and develop effective mitigation strategies.

• Compute and report Daily Profit & Loss (P&L), Exposure, and VaR, ensuring compliance with risk management policies.

• Provide clear explanations on P&L movements breakdown to stakeholders.

• Reconcile trades to verify accuracy in trading records and statements/recaps.

• Conduct monthly reconciliation of realized profit & loss, collaborating with other departments as necessary.

• Communicate risk metrics to trading teams, offering insights and recommendations for risk mitigation.

• Support risk management system and projects, contributing to tool development and process enhancement.

• Evaluate the creditworthiness of counterparties by examining their financial standings, business histories, credit ratings, and external factors.

• Examine, draft, and negotiate credit, collateral, and payment terms for ISDA Master Agreements and CSAs with counterparties.

• Any other duties as assigned by the Company.

QALIFICATIONS & KEY COMPETENCIES/ SKILL SETS

• Bachelor’s degree in finance, accounting, mathematics, statistics, or a related field.

• Minimum 1 year of relevant experience, with a preference for candidates who have worked in the Oil & Gas trading industry.

• Comprehensive understanding of financial markets, physical commodities, and derivatives markets.

• Proficiency in MS Excel, VBA, and Power BI, or similar data visualization software.

• Capacity to critically evaluate models and methodologies.

• Prior experience with Energy Trading and Risk Management (ETRM) systems is a plus.

• Exceptional communication and interpersonal abilities.

• Strong team player with a meticulous approach to work.

COMPENSATION

Salary will commensurate with qualifications & experience. Please submit your resume to: recruit@cathaypetroleum.com.sg

We regret to inform that only shortlisted candidates will be notified.

We are seeking a proactive Workspace Technology Engineer to provide end-user support. This role demands a strong problem-solver with excellent communication skills, capable of managing a range of hardware, software, and AV support issues. You’ll be the key interface between IT and the business, contributing to both day-to-day operations and greenfield projects. The ideal candidate will take initiative to analyze problems, propose solutions, and see them through to implementation while working alongside the team.

Key Responsibilities

• Serve as the initial point of contact for Workspace Technology issues, managing and resolving problems based on priority and severity.
• Ensure continuous availability of computing resources for end-users, coordinating with IT resources for escalated issues when necessary.
• Support cloud environments including servers, networks, and applications as needed.
• Provide timely resolutions via phone, email, or in-person support.
• Build, deploy, and manage Workspace Technology devices (including imaging, antivirus systems, application maintenance, patching, and system rollouts).
• Lead system orientation for new hires and manage end-user devices such as laptops, desktops, and mobile devices.
• Document processes, standards, configurations, and procurement details, ensuring records are up to date.
• Collaborate with the wider Workspace Technology team and Technology Team resources for comprehensive problem resolution.

Requirements

• Bachelor’s degree in Computer Science or a related field.
• 2-5 years of end-user or infrastructure support experience in a professional services environment.
• Fundamental understanding of Microsoft 365 (M365) setup and management within an organization.
• Good knowledge of hardware, including desktops, laptops, and mobile devices.
• Strong customer service orientation and a passion for helping end-users resolve issues efficiently.
• The ability to remain calm under pressure and handle urgent situations with professionalism.
• Excellent written and verbal communication skills, with the ability to multitask and manage time effectively in both independent and team settings.

Nice-to-Haves

• Experience with supporting users in the financial industry or on the trading floor.
• Strong technical background with the ability to identify, analyze, and resolve issues efficiently.
• Experience with Azure Active Directory, Windows, Unix environments, desktop, and server hardware.
• Familiarity with cloud platforms such as Azure and AWS (certifications are an advantage).
• Knowledge of PowerShell, scripting, or coding is highly desirable.

As a Senior Project Engineer, your main responsibility is to lead, supervise, execute and coordinate project activities together with a group of Engineers, Technicians and sub-contractors leading to successful project completion. You will monitor and control projects on schedule, within budgeted cost and quality and safety standards. You will also work closely with the consultant/owner to ensure the project is delivered according to requirements. As a senior, you are also required to perform system programming and troubleshooting during project implementation.

You should possess a Diploma/Higher Nitec in Electrical and/or Electronics in any Engineering related courses, with 3-5 years’ experience in site supervision and coordination with owner, main contractors, and subcontractors, must have experience in alarm, card access and CCTV system installation knowledge. Must be computer literate and knowledge of Risk Management.

Please submit resumes to john@oaktree.com.sg with the following

details in MS Word format:

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

John Goh Meng Chye

EA License No : 06C4642

EA Reg No : R1102621

We regret that only shortlisted candidates will be notified.

As a Service Engineer, you have to attend to equipment fault at customers’ premises. Liaise with the customer and sub-contractors regarding all aspect on the add-on project activities. Monitor the progress of the work done closely in order to ensure that the schedule and quality of work are met. Also to ensure that all materials and equipment are delivered on time as per schedule for site installation or rectification of fault. To carry out periodic maintenance for our customers.

You should possess a Diploma in Electronics and/or Electrical Engineering with 2-3 years’ hands-on experience in troubleshooting of card access systems, alarm systems, CCTV, etc. With good interpersonal communication skills and a valid Class 3 license. Stand-by duty is required.

Please submit resumes to john@oaktree.com.sg with the following

details in MS Word format:

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

John Goh Meng Chye

EA License No : 06C4642

EA Reg No : R1102621

We regret that only shortlisted candidates will be notified.

The Role:

We would like to get on board a Telecommunication engineer (or similar) to work inside of the railway communication infrastructure area, to develop and deploy communication transport solutions (fixed and radio) for large international railway projects. Main tasks to be performed by the COMMS engineer:

o Analysis of project requirements and propose the solutions accordingly.

o Development of system technical specifications.

o Development of system architectures and integration with 3rd parties' systems.

o Technical interface with customers and other contractors.

o Realization of testing and commissioning works onsite.

o Network troubleshooting for wired and wireless systems both.

o Technical support to systems once into operation after commissioning.

o Onsite testing and commissioning.

The Requirements:

• Tertiary qualification in Electrical and Electronics Engineering

• Minimum 2 years experience working on various communication systems technologies such as fibre-optic transmissions, digital trunked radio, public address and telephony, CCTV surveillance, access management and travel information systems preferred

To Apply:

Please send your latest CV in word file to Ajenifer@quinnox-solutions.com

Kindly indicate your availability, current and expected remuneration package.

We regret that only shortlisted candidates will be notified.

For more job opportunities, please visit our career page: http://quinnox-solutions.com/c...

Quinnox Solutions Pte Ltd (License Number: 06C3126)

Registered EA Personnel (Reg. No.R21103082)

The Role:

This position involves the preparation of technical specifications, construction drawings, and design documents for instrumentation and control systems in process and industrial plants. The role requires coordinating with multiple teams to ensure project delivery within established schedules and budget constraints.

Key Responsibilities:

• Lead the design efforts for field instrumentation and control systems, including the preparation and review of design documents.
• Manage small to medium-sized projects, ensuring adherence to allocated man-hours, costs, and timelines.
• Draft and review specifications, technical bid evaluations (TBE), and vendor documentation for instrumentation, analyzers, and control systems (DCS, ESD, F&G).
• Develop construction-related drawings, such as IO lists, location layouts, hook-up diagrams, and cable routing plans.
• Select and evaluate appropriate instruments for process control and monitoring applications.
• Estimate billable man-hours (BMBQ) and contribute to technical proposal development for tenders.
• Compile monthly project reports, participate in client meetings, and ensure alignment with project milestones.
• Collaborate with project teams and oversee the daily task assignments for team members.
• Perform factory acceptance testing (FAT), site acceptance testing (SAT), loop checks, and provide support during commissioning.
• Support field activities during construction, pre-commissioning, and commissioning phases.

The Requirements:

• Bachelor’s degree in Chemical Engineering, Electrical Engineering, or Instrument and Control Engineering.
• At least 15 years of experience in instrument and control system design, with a strong foundation in field instrumentation engineering and control systems such as DCS, ESD, and F&G.
• Hands-on experience with construction support, including FAT, SAT, and loop checks.
• Proficiency in the development of construction drawings and project documentation.
• Strong communication skills and ability to work effectively across teams.

Interested applicants are encouraged to submit their detailed resumes.

To Apply:

Please send your latest CV in word file to Ajenifer@quinnox-solutions.com

Kindly indicate your availability, current and expected remuneration package.

We regret that only shortlisted candidates will be notified.

For more job opportunities, please visit our career page: http://quinnox-solutions.com/c...

Quinnox Solutions Pte Ltd (License Number: 06C3126)

Registered EA Personnel (Reg. No.R21103082)

Job Summary:

We are seeking a dedicated and highly skilled Application Developer to join our team. In this role, you will design, develop, and maintain robust applications, contributing your expertise in Java, React, and Git. This position will involve working with a variety of technologies including cloud platforms and database management systems and offers an exciting opportunity to grow in a collaborative and agile environment.

Key Responsibilities:

· Develop, test, and deploy applications using Java (Java 8 or above) and React.js.

· Collaborate with cross-functional teams to design, build, and optimize RESTful APIs and microservices.

· Work with relational and NoSQL databases, like MongoDB or Cosmos DB, to store and retrieve critical data.

· Contribute to the source code management using Git and maintain high code quality through clean coding practices.

· Participate actively in Agile development processes, including sprint planning, daily standups, and retrospectives.

· Support and improve cloud-based application deployments, especially on Azure or Databricks.

· Design and implement Unit, Integration, and Functional tests to ensure high-quality deliverables.

Required Skills and Qualifications:

Primary Skills:

· Strong proficiency in Java 8 or above, React.js, and Git.

· Working knowledge of HTML, CSS, and JavaScript to build responsive web applications.

· Familiarity with RESTful API design and microservices architecture.

Good to Have:

· Experience with Relational and/or NoSQL databases such as MongoDB or Cosmos DB.

· Knowledge of Cloud platforms like Azure, Databricks.

· Exposure to Agile methodologies and a deep understanding of scrum ceremonies.

Preferred Qualifications:

· Proficiency in JVM-based languages (Scala, Java, Kotlin).

· Knowledge of Spark SQL.

· Familiarity with Core Banking services and products and understanding of the Banking Tax domain is a plus.

· Awareness of "Clean Code" practices and Design Patterns.

· Experience in Test-Driven Development (TDD).