Company Description
Infomina AI provides AI-driven solutions that transform official data into fast, reliable business insights. Our services include AiExe, an AI-powered business profiling and due diligence tool, and AiMod, an AI-driven predictive model builder. We specialize in leveraging advanced artificial intelligence to help businesses make data-driven decisions efficiently.
Your Mission
We are looking for an ambitious Cloud DevOps Engineer to join our core engineering team. Your primary mission will be to set up, maintain, and automate our cloud CI / CD pipelines on AWS and drive the automation of our private cloud deployments. You will be a key player in ensuring our development lifecycle is fast, reliable, and secure.
Key Responsibilities
- As part of the engineering team, you will support multiple products and report primarily to the Senior Infrastructure Engineer, with opportunities for direct collaboration with business owners. Your day-to-day responsibilities will include :
- CI / CD Pipeline Management : Maintain and optimize our CI / CD pipelines using
- GitHub Actions
- to ensure smooth and efficient software delivery.
- Infrastructure as Code (IaC) : Develop and maintain our cloud infrastructure using Terraform and Ansible to ensure a consistent and repeatable environment.
- Monitoring and Alerting : Implement and manage monitoring solutions (e.g., Prometheus / Grafana, Datadog, CloudWatch) to proactively identify and resolve issues.
- Containerization & Orchestration : Work extensively with Docker and Kubernetes to manage our containerized applications.
- Security and Compliance : Implement security best practices within the infrastructure and manage secrets to maintain a secure environment.
Required Skills & Qualifications
Must-Haves :
At least 1 year of hands-on experience with shell scripting or operating in a Linux environment.Proven experience with AWS as a cloud provider.Proficiency in building and managing CI / CD pipelines with GitHub Actions.Strong experience with Terraform for Infrastructure as Code.Solid scripting skills in Python, Shell, and NodeJS.A solid understanding of containerization with Docker and orchestration with Kubernetes.Nice-to-Haves :
Experience with observability stacks like LGTM (Loki, Grafana, Tempo, Mimir).Advanced operational and troubleshooting skills with Docker.An AWS Certified Cloud Practitioner or other relevant cloud certification is a strong plus.