
Principal Infrastructure Operations Expert
3 days ago
Overview: We are seeking a seasoned expert in site reliability engineering to join our organization.
">Key Responsibilities:
- Design and implement Service Level Agreements (SLAs), Service Level Indicators (SLIs), and Service Level Objectives (SLOs) for services within the business unit.
- Collaborate with cross-functional teams, including developers, product managers, project managers, security, and QA team members, to ensure high-quality services.
- Develop and implement automation solutions to increase productivity and quality using technologies like Ansible, Chef, etc.
- Improve system performance, reliability, and availability by analyzing and troubleshooting production issues.
- Stay up-to-date with new technologies and tools, and recommend their adoption to improve the development, testing, and production operations process.
- Work closely with distributed teams across different locations, including Singapore, Japan, and India.
Requirements:
- Must-have: Over 8 years of experience in SRE, handling high-traffic production systems independently, troubleshooting (middleware, infrastructure), automation, regular operation, etc.
- Implement site reliability engineering principles regarding performance, reliability, monitoring, alerting in production environment.
- Experience in managing large-scale services.
- Experience in designing and constructing public cloud platforms, preferably Google Cloud Platform (GCP).
- Good knowledge in Continuous Integration/Continuous Deployment/Continuous Testing (CI/CD/CT) pipelines using tools such as Jenkins/Bamboo and Version Control Systems (VCS) like GIT/SVN.
- Strong knowledge in Linux-based system operation and extensive skills in Linux commands.
- Hands-on experience in Unix/Linux/Shell/Python scripting.
- Experience with automation/configuration management, e.g., Terraform, Puppet, Chef, Ansible.
- Experience in developing and operating one or more of the following systems: Kubernetes, Nginx, ELK stack, Hadoop, etc.
- Identify process gaps and recommend best practices based on industry standards.
- Provide technical expertise on complex automation and functional issues.
- Flexible emergency support timing based on business requirements.
- Big Data technologies such as Hadoop, NoSQL - Couchbase, Cassandra.
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