Cloud Infrastructure Engineer
Job Description:
Design, implement, and maintain secure, reliable, scalable, and high-performing infrastructure and systems.
Monitor and troubleshoot infrastructure and application environments using Elasticsearch and other observability tools.
Implement infrastructure best practices, including clustering, load balancing, failover, and risk management.
Develop and maintain automation tools and scripts for system administration, deployment, monitoring, and operational tasks.
Implement Infrastructure as Code (IaC) and configuration management using tools such as Ansible, Puppet, or equivalent technologies.
Build and maintain CI/CD pipelines and integrate Kubernetes to improve software development and deployment processes.
Ensure consistent, secure, and reliable configurations across development, testing, and production environments.
Manage monitoring and observability solutions to ensure system availability, performance, and reliability.
Collaborate with Security, Development, and Operations teams to identify and resolve infrastructure, security, and deployment issues.
Promote and implement DevOps practices to improve collaboration, automation, and operational efficiency.
Provide technical support and troubleshoot infrastructure and CI/CD-related issues across teams.
Maintain comprehensive documentation of infrastructure, configurations, solutions, and operational procedures.
Ensure compliance with information security policies and procedures while protecting company data and reporting potential security incidents.
Job Requirements:
Bachelor’s Degree in Computer Science, Information Technology, Information Systems, Engineering, or related fields.
3+ years of experience in Cloud Infrastructure, DevOps, SRE, System Engineering, or related roles.
Experience in FinTech, payment gateway, banking, e-commerce, or other high-availability environments is preferred.
Willing to support incident response/on-call activities when required.
Hands-on experience with cloud platforms such as AWS, GCP, or Azure.
Strong knowledge of Linux, networking, Kubernetes, Docker, and CI/CD.
Experience with Infrastructure as Code (Terraform/Ansible) and configuration management.
Experience managing and troubleshooting Elasticsearch and monitoring/observability tools such as Prometheus, Grafana, ELK/EFK, Datadog, or similar.
Understanding of high availability, load balancing, clustering, failover, disaster recovery, scalability, and performance optimization.
Experience developing automation using Bash, Python, or similar scripting languages.
Good understanding of cloud security, IAM, encryption, vulnerability management, and secure infrastructure configuration.
Strong troubleshooting and root-cause-analysis skills, particularly for infrastructure and CI/CD issues.
Good understanding of DevOps practices and experience collaborating with Development, Security, QA, and Operations teams.