Callease.ai
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EngineeringFull-timeOn-site

DevOps Engineer

Own our AWS and Azure infrastructure end to end - pipelines, containers, monitoring and cloud security.

2+ yearsPosted 31 Aug 2026
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About the role

Note: This position requires an individual who is proactive, comfortable working independently, and capable of ensuring that cloud infrastructure is secure, scalable, and highly available. The role demands a strong background in microservice architectures, automation, security, and cloud-based infrastructure, as well as a willingness to handle on-the-job challenges and solve them in real-time.

Responsibilities

  • Design, manage, and maintain cloud infrastructure on AWS and Azure with a focus on scalability, security, and high availability.
  • Set up, automate, and maintain CI/CD pipelines using GitHub Actions and related deployment tools.
  • Deploy, monitor, and optimise microservice-based architectures in cloud environments.
  • Implement DevSecOps practices and ensure security compliance throughout the software development lifecycle (SDLC).
  • Configure and manage monitoring, logging, and alerting systems using tools such as Prometheus, Grafana, and CloudWatch.
  • Automate infrastructure provisioning and configuration management using Terraform or Ansible.
  • Troubleshoot infrastructure, deployment, and production-related issues to ensure system reliability and uptime.
  • Maintain cloud security best practices, perform regular audits, and manage vulnerability assessments and remediation processes.

Requirements

  • 2-2.5 years of experience in DevOps/DevSecOps or a similar role.
  • Hands-on experience with AWS, Azure, and microservice architecture deployment.
  • Proficient in setting up and maintaining CI/CD pipelines (GitHub Actions, Jenkins, etc.).
  • Experience with DevSecOps principles, infrastructure-as-code (Terraform/Ansible), and cloud security.
  • Familiar with containerization (Docker) and Kubernetes.
  • Strong scripting skills in Bash, Python, or PowerShell.
  • Experience with monitoring tools such as Prometheus, Grafana, ELK Stack, and CloudWatch.
  • Experience with Git and collaborative development practices.

Nice to Have

  • Experience with serverless architectures (e.g., AWS Lambda, Azure Functions).
  • Familiarity with data storage services such as S3, RDS, or Azure Blob Storage.
  • Knowledge of database administration and optimization (SQL/NoSQL).
  • Experience with container orchestration platforms (e.g., Kubernetes, Docker Swarm).
  • Experience in handling compliance and regulatory standards in cloud environments (e.g., GDPR, HIPAA, SOC 2).