Backend Engineer with DevOps Capabilities at Analytics Intelligence [AI]

Analytics Intelligence is a data analytics and artificial intelligence software development company. We believe that the growth of data, data analysis and artificial intelligence, are significantly changing how organizations, cities and government agencies will be run going into the future and are providing services and products to help clients implement future proof Digital Transformation strategy.

Job Description:

• We are seeking a versatile and value-driven Backend Engineer with DevOps capabilities to join our dynamic development team in Nigeria.
• In this role, you will work on advanced infrastructure solutions, focusing on cost optimisation, security, availability, and reliability of software applications. 
• Your contributions will be pivotal in enhancing the quality and efficiency of our engineering team while maintaining and improving the speed of delivery. 

Key Responsibilities:

• Design, develop, and maintain robust backend applications, including APIs, server architecture, and database optimisation using object-oriented programming languages like Python and Java.
• Experience using CI/CD tools such as Terraform, CloudFormation, or Pulumi. 
• Maintain existing backend applications written in diverse programming languages such as Node.js, Python, etc. 
• Implement and enforce cloud security best practices, with a focus on cost-saving strategies. 
• Ensure monitoring and alerting are integral parts of software applications. 
• Collaborate with cross-functional teams on software design, implementation, and infrastructure. 
• Research and integrate new technologies to enhance the development and deployment process. 

Qualifications and Skills: 

• Bachelor's degree in Computer Science or a related field. 
• 4-5 years of experience as a DevOps Engineer or Backend Engineer. 
• Strong proficiency in backend development using languages such as Python, Java, or Node.js. 
• Experience with containerisation technologies like Docker and Kubernetes. 
• Hands-on experience with cloud platforms such as AWS, GCP, or DigitalOcean. 
• Proficiency in CI/CD tools and practices, including Terraform, CloudFormation, or Pulumi. 
• Ability to write clean, efficient, secure, and well-documented code. 
• Strong understanding of cloud security best practices and cost optimisation strategies. 

Method of Application

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