Job Summary:
We are seeking a highly skilled and motivated DevOps Engineer to join our dynamic team. The successful candidate will play a critical role in maintaining, optimizing, and expanding our infrastructure. You will work closely with software developers, deployment team, and other IT staff members to manage code releases, automate workflows, and ensure the availability, reliability, and scalability of the systems. The salary range for this position is up to $130,000 USD.
LOCATION: Remote US (preferably East Coast US)
Key Responsibilities:
- Design, implement, and manage continuous integration and continuous delivery (CI/CD) pipelines to support automated deployment and testing processes.
- Manage cloud infrastructure on Amazon Web Services (AWS), including provisioning, scaling, and monitoring of resources.
- Automate infrastructure using Infrastructure-as-Code (IaC) tools like Terraform or AWS CloudFormation.
- Write and maintain automation scripts in Python to streamline operational processes and deployments.
- Collaborate with development teams to enhance system scalability, performance, and reliability.
- Manage, monitor, and troubleshoot Linux and Windows-based production environments, ensuring high availability and minimal downtime.
- Implement security best practices to safeguard cloud infrastructure.
- Support and optimize container orchestration platforms such as Docker and Kubernetes.
- Perform routine system health checks, capacity planning, and proactive monitoring of key performance metrics.
- Identify and resolve production issues promptly while maintaining communication with stakeholders.
- Stay current with industry trends, technologies, and best practices in DevOps and cloud services.
Qualifications and Requirements:
- 2+ years of experience in a DevOps, System Administration, or Software Engineering role.
- 2 + years of hands-on experience with Amazon Web Services (AWS), including services like EC2, S3, Lambda, RDS, EKS, and CloudWatch.
- Strong knowledge of building and maintaining CI/CD pipelines using tools like Azure DevOps, Jankins, GitLab CI, CircleCI, or AWS CodePipeline.
- Proficiency in Python scripting for automation tasks and infrastructure management.
- Solid understanding and experience with Linux (Ubuntu) and Windows OS.
- Experience with version control systems like Git.
- Familiarity with infrastructure management tools such as Ansible is a plus.
- Experience with containerization technologies like Docker and Kubernetes is a plus.
- Strong troubleshooting, problem-solving, and communication skills.
- Familiarity with security best practices in cloud environment.
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