Job Description

Contract job Position 

Job Title: Azure Engineer with Mongo 

Work Location: Remote 
 

Job Description

We are looking for a skilled Azure Engineer with MongoDB expertise to join our team. The ideal candidate will have a strong foundation in both MongoDB and cloud infrastructure, with a focus on performance engineering, system architecture, and agile methodologies. You will play a key role in designing and developing high-performance cloud-based applications, ensuring the seamless integration of MongoDB with Azure services.

Key Responsibilities

• MongoDB Expertise: Demonstrate a deep understanding and hands-on experience with MongoDB, including configuration, optimization, and troubleshooting.
• Design and Architecture: Apply design concepts and architectural principles to build scalable, robust cloud solutions.
• Performance Engineering: Implement strategies to enhance the performance and reliability of cloud systems, ensuring efficient resource utilization.
• Quality Processes & Estimation: Participate in quality processes, providing accurate estimations for system design and delivery, while ensuring adherence to best practices.
• Requirements Analysis: Translate functional and nonfunctional requirements into technical system specifications that meet project needs.
• Application Development: Develop and code complex applications on Azure, integrating MongoDB, and ensuring best practices for scalability and performance.
• Test Case Creation: Develop test cases and scenarios from system specifications, ensuring comprehensive testing to meet quality standards.
• SDLC & Agile Practices: Utilize a strong understanding of the Software Development Life Cycle (SDLC) and agile methodologies to deliver projects efficiently and with high quality.
• Technology Trends: Stay current with emerging technologies and trends, applying innovative solutions to drive continuous improvement in cloud systems.
   

Qualifications

• Proven experience with MongoDB and Azure.
• Strong grasp of design and architectural principles.
• Knowledge of performance engineering and quality processes.
• Ability to translate requirements into system specifications.
• Proficiency in developing and coding complex applications.
• Experience in creating test cases and scenarios.
• Familiarity with SDLC and agile techniques.
• Awareness of current technology trends.
   

Salary Range

The salary range for an Azure Engineer with MongoDB expertise can vary based on factors such as experience, certifications, location, and the company's size. For a remote position in the United States, the typical salary range is:

• Entry-level/Junior Azure Engineer with MongoDB: $90,000 - $110,000 per year
• Mid-level Azure Engineer with MongoDB: $110,000 - $140,000 per year
• Senior Azure Engineer with MongoDB: $140,000 - $170,000+ per year

In-demand skills, such as expertise in both cloud technologies (Azure) and databases (MongoDB), can push salaries to the higher end of these ranges, particularly in tech-driven companies or specialized roles.

Certification

Azure Certifications

1. Microsoft Certified: Azure Administrator Associate 
   • Validates the skills to manage Azure cloud services including computing, storage, security, and networking.
2. Microsoft Certified: Azure Solutions Architect Expert 
   • Demonstrates expertise in designing solutions that run on Azure, including aspects like networking, security, and computing.
3. Microsoft Certified: Azure DevOps Engineer Expert
   • Focuses on combining people, processes, and technology to deliver cloud services efficiently using DevOps practices.
4. Microsoft Certified: Azure Database Administrator Associate
   • Specializes in managing and optimizing modern relational databases and cloud-based data services like Azure SQL and NoSQL databases.
      

MongoDB Certifications

1. MongoDB Certified DBA Associate
   • Demonstrates proficiency in managing MongoDB deployment, configuration, backup, recovery, and monitoring.
2. MongoDB Certified Developer Associate
   • Validates skills in building and maintaining applications using MongoDB, including CRUD operations, aggregation, and indexing.