AWS Specialist / DevOps Engineer

Confidential Employer

Job Overview

Location

Lekki, Lagos, Nigeria

Employment Type

Full-time

Work Arrangement

Hybrid

Sector

Information Technology & Software

Experience Level

Mid-level (3-5 years)

Application Deadline

February 26, 2026

About the Company

We are a forward-thinking technology company focused on developing and deploying advanced AI-driven products, sophisticated workflow automation systems, and intuitive low-code/vibe-coding applications. Our mission is to empower businesses with cutting-edge technology that drives efficiency and innovation.

Our team is dedicated to building scalable, reliable, and secure solutions. We foster a collaborative and dynamic work environment where innovation thrives. We are committed to staying at the forefront of technological advancements, particularly in cloud computing, AI, and automation.

Job Description

We are seeking a highly skilled AWS Specialist and DevOps Engineer to join our dynamic team. This role is crucial for designing, deploying, and managing the cloud infrastructure that underpins our advanced AI-driven products, workflow automation solutions, and low-code applications.

You will be responsible for optimizing our AWS environment, ensuring seamless integration of AI and automation platforms, and administering our databases. This position requires a strong understanding of security, monitoring, disaster recovery, and CI/CD practices to deliver scalable and reliable AI systems.

To apply for this role, click the Apply button on this page and follow the instructions.

Required Skills

AWSDevOpsEC2ECS/EKSLambdaAPI GatewayS3CloudFrontIAMVPCRoute 53PostgreSQLMySQLRDSDynamoDBRedisElastiCacheSecurityMonitoringDisaster RecoveryScalabilityCI/CDIaCTerraformCloudFormationCDKDockerContainer Orchestrationn8nAI PlatformsLLM IntegrationsAPI SecurityWebhook Security

Key Responsibilities

  • Design, deploy, and optimize AWS infrastructure, including EC2, ECS/EKS, Lambda, API Gateway, S3, CloudFront, IAM, VPC, and Route 53.
  • Deploy and manage AI and automation platforms such as n8n, Lovable-based apps, and voice AI solutions.
  • Administer databases including PostgreSQL/MySQL (RDS), DynamoDB, and Redis/ElastiCache.
  • Implement robust security measures, monitoring systems, disaster recovery plans, and scaling strategies.
  • Develop and maintain CI/CD pipelines and Infrastructure as Code (IaC) using tools like Terraform, CloudFormation, or CDK.
  • Collaborate closely with AI engineers and product teams to ensure the delivery of scalable and reliable AI systems.

Qualifications

  • Extensive hands-on experience with Amazon Web Services (AWS).
  • Proficiency in database management, including both SQL and NoSQL databases.
  • Experience with automation tools such as n8n or similar platforms.
  • Familiarity with AI and LLM platforms and their integration.
  • Strong understanding of Docker and container orchestration technologies.
  • Knowledge of API and webhook security best practices.

How to Apply

Send your CV to donald.eke@mactay.com using the job title as the subject of your email.

donald.eke@mactay.com
Email

Posted Date

February 11, 2026