Job Description
Cloud / DevOps Engineer (4–5 Years Experience)
Location: Remote
Position Overview
We are seeking a highly skilled and motivated Cloud / DevOps Engineer with 4–5 years of hands-on experience designing, implementing, and maintaining scalable cloud infrastructure across AWS and Azure environments.
The ideal candidate has strong expertise in Infrastructure as Code (IaC), container orchestration, CI/CD automation, and cloud-native architectures. You will play a key role in building secure, highly available, and cost-efficient platforms that support mission-critical applications and data systems.
This role primarily focuses on designing, building, and managing cloud infrastructure, enhancing automation, and ensuring systems run smoothly, securely, and efficiently in the cloud environment.
Why Join Us
This is a genuinely exciting and unique opportunity. You will be working remotely, directly with a U.S.-based company, as part of a highly skilled team that includes native English speakers even if you do not currently have a U.S visa.
The role offers strong exposure to advanced technical expertise and provides an excellent opportunity to continue developing your skills while gaining meaningful, real-world experience in complex cloud environments.
Key Responsibilities
- Design, implement, and manage cloud infrastructure across AWS and Azure environments.
- Build and maintain Infrastructure as Code using Terraform, CloudFormation, ARM, or Bicep.
- Deploy and manage containerized workloads using Docker and Kubernetes (EKS/AKS).
- Develop and maintain CI/CD pipelines using tools such as GitHub Actions, GitLab CI, Jenkins, or Azure Pipelines.
- Automate infrastructure provisioning and operational tasks using Python, Bash, or Ansible.
- Implement monitoring, logging, and observability solutions using tools such as CloudWatch, Datadog, Prometheus, Grafana, Dynatrace, or Splunk.
- Support cloud migrations from on-premises environments to AWS/Azure.
- Ensure high availability, scalability, and security of production systems.
- Apply FinOps best practices to optimize cloud spend (rightsizing, Reserved Instances, tagging strategies).
- Participate in incident management, root cause analysis, and on-call rotations.
- Collaborate with development, security, and data teams to deliver cloud-native solutions.
- Document infrastructure architecture, processes, and best practices.
Required Qualifications
- 4–5 years of experience in Cloud Engineering, DevOps, or Infrastructure Engineering.
- Strong hands-on experience with AWS services (EC2, S3, RDS, Lambda, VPC, IAM, CloudWatch).
- Experience with Azure services (AKS, App Services, Functions, Key Vault, Azure AD).
- Proven expertise in Infrastructure as Code (Terraform preferred).
- Experience with container orchestration platforms (Kubernetes – EKS/AKS).
- Strong CI/CD pipeline implementation experience.
- Experience with configuration management tools (Ansible, Chef, or Puppet).
- Solid understanding of networking, security groups, IAM roles, and cloud security best practices.
- Experience working in production environments with high availability requirements.
- Proficiency in scripting (Python and/or Bash).
- Strong troubleshooting and problem-solving skills.
Preferred Qualifications
- Experience designing event-driven or streaming architectures.
- Exposure to data platforms (PostgreSQL, Aurora, Cosmos DB).
- Experience implementing observability frameworks with SLOs and alerting.
- Familiarity with microservices architecture.
- Experience with FinOps cost optimization initiatives.
- Experience working in Agile/Scrum environments.
Technical Environment
- Cloud Platforms: AWS, Azure
- IaC: Terraform, CloudFormation, ARM/Bicep
- Containers: Docker, Kubernetes (EKS/AKS), Helm
- CI/CD: GitHub Actions, GitLab CI, Jenkins
- Monitoring: CloudWatch, Datadog, Prometheus, Grafana
- Scripting: Python, Bash
What Success Looks Like
- Reliable, automated infrastructure deployments.
- Reduced manual operational effort through automation.
- Scalable Kubernetes-based application environments.
- Improved system observability and incident response.
- Measurable cloud cost optimization.