Experience: 5+ years
Job Type: Full-time (Contractual / Freelancing)
Location: Remote (Candidates from US only)
Required Skills: Azure, Devops, Kubernetes, Docker
Job Summary
Join our team as a DevOps Engineer, where you will play a pivotal role in building, maintaining, and optimizing cutting-edge cloud infrastructure. This is an opportunity to leverage your expertise in Azure, DevOps, Kubernetes, and Docker to drive innovative solutions and ensure seamless deployment pipelines. As a core team member, your passion for clear written and verbal communication will be critical to collaborating across distributed teams and delivering high-impact results.
Key Responsibilities
- Design, implement, and manage scalable, secure cloud infrastructure on Microsoft Azure.
- Develop and maintain CI/CD pipelines using Azure DevOps tools to ensure reliable application delivery.
- Orchestrate and manage containerized applications with Kubernetes and Docker.
- Monitor system performance, automate operational tasks, and proactively resolve issues.
- Collaborate closely with development teams to streamline deployments and improve operational efficiency.
- Ensure robust system security, compliance, and reliable backup/recovery strategies.
- Document processes and solutions, and communicate insights effectively with technical and non-technical stakeholders.
Required Skills And Qualifications
- Minimum 5 years of hands-on experience in DevOps roles, with a strong focus on Azure cloud environments.
- Deep expertise in Azure DevOps tools and services.
- Advanced proficiency in Kubernetes and Docker for orchestration and container management.
- Excellent written and verbal communication skills, with a passion for clear, collaborative work.
- Experience designing and optimizing CI/CD pipelines.
- Solid understanding of infrastructure automation, monitoring, and troubleshooting.
- Strong problem-solving skills, attention to detail, and a proactive approach to continuous improvement.
Preferred Qualifications
- Familiarity with additional cloud platforms such as GCP and AWS.
- Experience supporting large-scale, distributed systems.
- Relevant Azure or Kubernetes certifications are a plus.
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