Analytics Intelligence: Full Stack DevOps Engineer

Full Stack DevOps Engineer

Analytics Intelligence is a software development business specializing in data analytics and artificial intelligence.

We think that the increasing amount of data, data analysis, and artificial intelligence will have a big impact on how businesses, governments, and cities operate in the future. For this reason, we are offering services and products to help clients put their plans for digital transformation into action that will be future-proof.

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.

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Location: Lagos

Job Type: Full-time

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.

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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.

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How to Apply 

Only qualified candidates should send their CVs with the job title to:  hr@analyticsintelligence.com