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Senior Cloud Operations Engineer
2 months ago
Location:
Remote (must reside within 90 miles of designated location).
Team Size: 5 to 10 colleagues
Education:
Bachelor's or Master's degree in Computer Science or a related discipline is preferred, along with a minimum of 4 years of experience in DevOps.
Interview Process:
Initial 30-minute discussion with Hiring Manager followed by two one-hour technical interviews.
Key Qualifications:
- Exceptional communication abilities.
- Strong collaboration skills with team members.
- Robust problem-solving capabilities.
- Aim to advance to a leadership role in DevOps as a contractor, with a willingness to undergo training and work independently.
- Excellent analytical skills.
- Develop foundational infrastructure technologies within both public and private cloud environments.
- Design, configure, optimize, manage, monitor, document, and support platform services and components, including enterprise data ingestion.
- Contribute to the execution of technical projects.
- Engage in design discussions and code evaluations to enhance engineering quality across the organization.
- Lead the implementation of new features and innovations within existing tools.
- Drive the acquisition and utilization of new software solutions.
- Utilize automation to eliminate repetitive and error-prone tasks, thereby enhancing solution quality.
- Provide advanced system administration, operational support, and troubleshooting for a complex cloud computing environment, while developing scripts for resource stack deployment and configuration.
- Extend standard system management processes into the cloud, including change, incident, and problem management.
- Create and maintain a library of deployable, tested, and documented automation design scripts, processes, and procedures.
- Facilitate DevOps development activities and complex tasks involving a variety of tools and container management systems.
- Coordinate with application experts and other infrastructure teams to identify optimal solutions for capacity, security, and performance issues.
- Implement and maintain CI/CD solutions, creating code deployment models to support self-service automation.
- Minimum of 4 years of proven experience in DevOps data platform development.
- Proficiency in infrastructure as code concepts and tools (e.g., ARM templates, Terraform, Ansible) for automating resource provisioning and configuration.
- Experience with container orchestration and deployment using tools such as Docker and AKS.
- Hands-on experience with CI/CD pipeline tools (e.g., Azure DevOps, Jenkins, CircleCI) and version control systems (e.g., GitHub).
- Strong understanding of DevOps principles, particularly within the Azure DevOps framework and tools.
- Solid knowledge of networking concepts (DNS/DHCP/Firewalls/Sub-netting, etc.), preferably in Azure.
- Proficient scripting skills in languages such as Python, Bash, JavaScript, or similar.
- Strong understanding of monitoring and observability concepts and tools.
- Extensive experience and a solid grasp of cloud and infrastructure components.
- Strong analytical and problem-solving skills, with the ability to troubleshoot complex DevOps platform issues and provide effective solutions.
- Familiarity with developer tools across the software development lifecycle (task management, source code, building, deployment, operations, real-time communication).
- Excellent communication and collaboration skills, enabling effective work with cross-functional teams and stakeholders.
- 4+ years of professional experience in infrastructure and/or software development.
- 3+ years of experience with Azure, AWS, GCP, or another cloud service (Azure preferred).
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
Experience with Kafka and/or MongoDB.