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Assistant Lead Engineer - Cloud (Data Analytics & AI) Job Opening In Singapore, Singapore – Now Hiring Synapxe


Job description

Position Overview

We are seeking a highly skilled and motivated Cloud Application/Software Engineer to join our team.

The ideal candidate will have a strong background in cloud computing and application development, with a focus on designing, developing, and deploying cloud-based applications.

The Cloud Application Engineer will work closely with cross-functional teams, including the operations and data teams, partners and vendors to ensure the successful implementation and maintenance of cloud solutions.

Responsibilities

  • Design, develop, deploy cloud-based and integrate non-cloud-based applications using industry best practices and cloud technologies
  • Collaborate with software engineers, architects, and other stakeholders to gather requirements and define application specifications
  • Implement security measures to protect cloud-based applications and data
  • Troubleshoot and resolve issues related to cloud infrastructure and applications
  • Optimize cloud-based applications for performance, scalability, and cost-efficiency
  • Provide technical guidance and support to team members and stakeholders
  • Assist in managing and monitoring of cloud-based assets hosted on Singapore GCC platforms

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field
  • Strong experience in cloud computing platforms such as AWS, Azure, or Google Cloud
  • Experience with Singapore GCC hosting platform will be of advantage but not essential
  • Proficiency in programming languages such as Java, Python, JavaScript and/or C#
  • Knowledge of cloud security best practices and compliance standards
  • Experience working with version control and repository tools like Git, Maven
  • Strong background working with Linux/UNIX environments
  • Working knowledge with SQL and NoSQL databases preferred
  • Strong collaboration and communication skills within project teams
  • Excellent problem-solving and troubleshooting skills

Apply Now

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Required Skill Profession

Business Intelligence & Analysis


  • Job Details

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Unlock Your Assistant Lead Potential: Insight & Career Growth Guide


Real-time Assistant Lead Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Assistant Lead in Singapore, Singapore, highlighting market share and opportunities for professionals in Assistant Lead roles.

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Are You Looking for Assistant Lead Engineer Cloud (Data Analytics & AI) Job?

Great news! is currently hiring and seeking a Assistant Lead Engineer Cloud (Data Analytics & AI) to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Synapxe adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Singapore laws and regulations

What Is the Average Salary Range for Assistant Lead Engineer Cloud (Data Analytics & AI) Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Singapore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Assistant Lead Engineer Cloud (Data Analytics & AI)?

Key qualifications for Assistant Lead Engineer Cloud (Data Analytics & AI) typically include Business Intelligence & Analysis and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Assistant Lead Engineer Cloud (Data Analytics & AI) Job Success

Synapxe interview tips for Assistant Lead Engineer   Cloud (Data Analytics & AI)

Here are some tips to help you prepare for and ace your Assistant Lead Engineer Cloud (Data Analytics & AI) job interview:

Before the Interview:

Research: Learn about the Synapxe's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Assistant Lead Engineer Cloud (Data Analytics & AI) interview at Synapxe, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Synapxe's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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