Logikality

DevOps Engineer

Logikality

British Indian Ocean Territory

Accepting Applications Full-time On-site LinkedIn
Posted 1 month, 3 weeks ago 2 views 0 applications
Job Description

About Logikality

Logikality is building AI-powered enterprise platforms for the Financial Services, Mortgage, Title, and Banking industries. We are creating cloud-native, multi-tenant SaaS products that combine AI, workflow automation, and enterprise-grade security.

We are looking for a hands-on DevOps Engineer who can build and scale our cloud infrastructure, deployment pipelines, security controls, and platform operations from the ground up.

What You Will Do

  • Design and manage AWS-based cloud infrastructure
  • Build and maintain CI/CD pipelines for rapid and reliable deployments
  • Implement Infrastructure as Code (IaC) using Terraform or similar tools
  • Manage containerized environments using Docker and Kubernetes
  • Configure monitoring, logging, alerting, and incident response processes
  • Ensure platform security, compliance, backup, and disaster recovery readiness
  • Optimize cloud performance, scalability, and costs
  • Work closely with engineering and product teams to support rapid development and releases

Required Skills

  • 3+ years of DevOps, Cloud Engineering, or Site Reliability Engineering experience
  • Strong hands-on experience with AWS
  • Experience with Docker and Kubernetes
  • Experience building CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or similar tools
  • Experience with Infrastructure as Code (Terraform preferred)
  • Strong understanding of networking, security, Linux, and cloud architecture
  • Experience with monitoring and observability tools
  • Experience supporting production SaaS applications

Preferred Experience

  • Multi-tenant SaaS platforms
  • AI/ML workloads
  • Financial Services, FinTech, Mortgage, Banking, or regulated industries
  • SOC2, ISO 27001, security, and compliance environments

Why Join Logikality

  • Opportunity to build a platform from an early stage
  • Direct exposure to leadership and product strategy
  • Work on cutting-edge AI and enterprise automation products
  • Significant growth opportunities for high performers
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