Total 50 Junior Executive mobile application developer job vacancies

Job Description

Responsibilities

• Design, develop, and maintain scalable applications and microservices using Java, Spring Boot, and Hibernate.
• Write clean, efficient, and reusable code following coding standards and best practices.
• Participate in all phases of the SDLC including design, development, testing, and deployment.
• Work closely with senior developers, business analysts, and QA teams to deliver features on time.
• Perform unit testing and assist in integration and system testing.
• Debug and resolve technical issues raised by users or testing teams.
• Take part in code reviews and continuous improvement efforts.
• Maintain and update technical documentation as needed.

Requirements

• Bachelor’s degree in Computer Science, Information Technology, or related field.
• 2–3 years of experience in Java, Spring Boot, and Hibernate.
• Strong understanding of OOP concepts, design patterns, and best coding practices.
• Hands-on experience with relational databases such as Oracle or PostgreSQL, with strong SQL skills.
• Basic understanding of Docker and container orchestration.
• Exposure to IBM MQ, Kafka, or similar messaging systems.
• Experience with front-end frameworks like React or Angular is an advantage.
• Familiarity with CI/CD tools such as Jenkins or GitLab CI.

EA License: 11C4879

About Us:

With 14 years in the industry, Mister Mobile is Singapore’s trusted leader in mobile services. Our vision is to empower people through technology and provide exceptional service. We offer top trade-in prices and rigorously inspected new and used devices. Our warm and friendly team fosters a culture of care and collaboration, ensuring that every customer experience is met with a personal touch. As a market leader in the mobile service provider industry, we obtained ISO certification, CaseTrust accreditation, and a Carousell InstantBuy Award. We have also received more than 15,000+ positive reviews on our services.

As a fast-growing company, we cultivate a collaborative and inclusive workplace. We prioritize employee development and uphold key values such as innovation, customer satisfaction, and teamwork while offering career growth and mentorship opportunities.

Profile:

We are looking for a proactive and detail-oriented Logistics Assistant to support our fast-growing operations team. This role plays a critical part in ensuring efficient stock management, timely procurement, and seamless distribution of all stock across our stores.

Job Descriptions:

• Performed inventory checks by counting and inspecting all incoming stock upon arrival.
• Reset all devices and ensure they are labeled and packaged appropriately.
• Enter all incoming stock details into the internal system.
• Performed routine stocktaking at different branch locations.
• Allocating and arranging the delivery of stock to different stores.
• Processed returns, sorted inventory, and managed stock regularly.
• Coordinating with suppliers to ensure on-order stock and confirm delivery dates.
• Maintain pricing fairness with waste cost reduction.

Requirements:

• Fluent in both English and Mandarin to effectively communicate with Mandarin-speaking clients (spoken and written).
• Strong administrative and detail-oriented.
• Must be tech-savvy and comfortable with digital tools and systems.
• Work Schedule: 5.5-day work week (9:00 AM to 6:30 PM).
• Ability to work independently in a fast-paced environment.

What we offer:

• Basic Salary + AWS.
• Medical, TCM, and Dental Benefits.
• Attendance and Accessories Allowance.
• Fun and dynamic work environment.
• Comprehensive On-the-Job Training Provided.

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

Thank you for applying with us!

Responsibilities

• Develop scalable applications using Spring Boot, MongoDB, Docker, and OpenShift/Kubernetes to meet business requirements
• Collaborate with business stakeholders to define and clarify project requirements, acceptance criteria, and success metrics for delivered features
• Partner with internal technical teams and business users to investigate issues, conduct testing, and manage deployments effectively
• Support existing applications by troubleshooting, fixing bugs, and implementing necessary upgrades or modifications to enhance functionality
• Manage release processes including raising Change Requests and scheduling implementation of fixes and enhancements to ensure smooth delivery
• Deploy releases, patches, and fixes on the platform while maintaining high availability and stability
• Analyze application performance and perform tuning to optimize platform reliability and responsiveness
• Apply agile development methodologies to deliver iterative improvements and respond to changing project needs

Required competencies and certifications

• Bachelor’s or advanced degree in computer science or engineering
• Minimum 3 years of hands-on experience in programming and application development using Java, Spring Boot, and REST/API
• Experience building cloud-native applications, microservices, and working with cloud platforms such as OpenShift/Kubernetes
• Proficiency in MySQL/MariaDB or other relational databases
• Proficiency in Git and Bitbucket for version control
• Knowledge of automated build pipelines using Jenkins with Groovy scripting
• Experience working in Unix/Linux environments

Responsibilities

• Develop scalable applications using Spring Boot, MongoDB, Docker, and Openshift/Kubernetes to meet business needs
• Collaborate with business stakeholders to define and clarify project requirements, acceptance criteria, and success metrics for delivered features
• Work closely with internal technical teams and business users to investigate issues, conduct testing, and manage deployments
• Support existing applications by troubleshooting, fixing bugs, upgrading, and modifying functionality to maintain performance
• Manage release processes including raising Change Requests and scheduling implementation of fixes and enhancements
• Deploy releases, patches, and fixes on the platform to ensure continuous operation
• Analyze application performance, perform tuning, and maintain high availability and stability of the platform

Required competencies and certifications

• Bachelor's or advanced degree in computer science or engineering
• Minimum 3 years of hands-on programming and application development experience in Java, Spring Boot, and REST/API
• Experience building cloud-native applications, microservices, and working with cloud platforms such as Openshift or Kubernetes
• Proficiency in MySQL/MariaDB or other relational databases
• Proficiency in Git and Bitbucket for version control
• Knowledge of automated build pipelines using Jenkins with Groovy scripting
• Experience working within agile development methodologies and processes
• Experience with Unix/Linux operating systems

Preferred competencies and qualifications

[None explicitly stated in the original JD]

Other Information

[No additional details or recruiter/agency information found]

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This position will be contracted through Bosch’s external vendor under a one-year agreement.

A Junior AI Engineer in this specific context focuses on the foundational "heavy lifting" of the AI lifecycle. Your role is to assist in the validation of legacy data—cleaning and labeling "dark data"—and helping integrate modern AI models into our global workflow product to automate IT operations.

You will support the Senior AI Engineers in bridging the gap between legacy systems and next-generation product features. This is a highly technical, hands-on role where you will learn to build data pipelines that feed into real-world, global AI applications.

Key Responsibilities

• Data Archeology & Cleaning: Assist in extracting and preprocessing unstructured data from legacy logs, tickets, and databases to create high-quality training sets.
• Model Implementation: Support the deployment and fine-tuning of machine learning models (e.g., NLP for ticket classification or time-series for predictive maintenance).
• Testing & Validation: Conduct rigorous testing of AI outputs to ensure accuracy and fairness across different global regions and user languages.
• API & Integration: Build and maintain the "plumbing" (APIs) that connects AI model outputs to the front-end IT workflow product.
• Documentation: Maintain detailed records of data lineage and model versions to ensure compliance with global data standards like GDPR.
• Continuous Learning: Stay current on emerging Generative AI trends and suggest ways to apply them to legacy data challenges.