About this role
Key Responsibilities
Cluster Operations & Management
- Manage and maintain container clusters (Kubernetes, Docker) and open-source component clusters (Kafka, Redis, Elasticsearch) across multiple business units
- Ensure optimal performance, scalability, and reliability of distributed systems
Infrastructure Platform Development
- Design, build, and enhance infrastructure operation platforms
- Develop and maintain systems for infrastructure management, CI/CD pipelines, monitoring/alerting, and centralized logging
- Drive platform standardization and automation initiatives
High Availability & Reliability
- Ensure maximum uptime for production services through proactive monitoring and incident response
- Continuously optimize service architecture, deployment strategies, and operational processes
- Implement and maintain SLA/SLO frameworks and reliability engineering practices
Automation & Process Improvement
- Lead the development of automated operations and maintenance systems
- Create self-service tools and workflows to improve team productivity
- Establish best practices for infrastructure such as code and configuration management
Required Qualifications
Experience & Education
- 2+ years of hands-on experience in Systems Operations, DevOps, or Site Reliability Engineering (SRE)
- Bachelor's degree in Computer Science, Engineering, or related technical field preferred
Cloud & Infrastructure
- Experience with public cloud platforms (AWS, Azure, or GCP) is highly valued
- Strong understanding of large-scale internet architecture and distributed systems
- Proven experience with infrastructure monitoring, logging, and observability tools
Technical Skills
- Proficiency in scripting and automation using Shell, Python, or similar languages
- Strong knowledge of containerization technologies (Kubernetes, Docker)
- Hands-on experience operating production-grade container clusters and managing CI/CD pipelines
- Strong familiarity with common infrastructure components: Nginx, MySQL, Redis, Kafka, Elasticsearch
Advanced Networking (Preferred)
- Experience with Service Mesh architectures, Cilium CNI, and eBPF technologies
- Understanding network security, load balancing, and traffic management
- Knowledge of cloud-native networking patterns and best practices
About Manus AI
Manus is a general AI agent that bridges minds and actions: it doesn't just think, it delivers results. Manus excels at various tasks in work and life, getting everything done while you rest. At Manus AI, we offer a highly collaborative and innovative environment where experts across engineering, research, and business come together to push the boundaries of AI applications. If you're passionate about cutting-edge technology and making a real impact, we’d love to hear from you!
Contact us: [email protected]
Cluster Operations & Management
- Manage and maintain container clusters (Kubernetes, Docker) and open-source component clusters (Kafka, Redis, Elasticsearch) across multiple business units
- Ensure optimal performance, scalability, and reliability of distributed systems
Infrastructure Platform Development
- Design, build, and enhance infrastructure operation platforms
- Develop and maintain systems for infrastructure management, CI/CD pipelines, monitoring/alerting, and centralized logging
- Drive platform standardization and automation initiatives
High Availability & Reliability
- Ensure maximum uptime for production services through proactive monitoring and incident response
- Continuously optimize service architecture, deployment strategies, and operational processes
- Implement and maintain SLA/SLO frameworks and reliability engineering practices
Automation & Process Improvement
- Lead the development of automated operations and maintenance systems
- Create self-service tools and workflows to improve team productivity
- Establish best practices for infrastructure such as code and configuration management
Required Qualifications
Experience & Education
- 2+ years of hands-on experience in Systems Operations, DevOps, or Site Reliability Engineering (SRE)
- Bachelor's degree in Computer Science, Engineering, or related technical field preferred
Cloud & Infrastructure
- Experience with public cloud platforms (AWS, Azure, or GCP) is highly valued
- Strong understanding of large-scale internet architecture and distributed systems
- Proven experience with infrastructure monitoring, logging, and observability tools
Technical Skills
- Proficiency in scripting and automation using Shell, Python, or similar languages
- Strong knowledge of containerization technologies (Kubernetes, Docker)
- Hands-on experience operating production-grade container clusters and managing CI/CD pipelines
- Strong familiarity with common infrastructure components: Nginx, MySQL, Redis, Kafka, Elasticsearch
Advanced Networking (Preferred)
- Experience with Service Mesh architectures, Cilium CNI, and eBPF technologies
- Understanding network security, load balancing, and traffic management
- Knowledge of cloud-native networking patterns and best practices
About Manus AI
Manus is a general AI agent that bridges minds and actions: it doesn't just think, it delivers results. Manus excels at various tasks in work and life, getting everything done while you rest. At Manus AI, we offer a highly collaborative and innovative environment where experts across engineering, research, and business come together to push the boundaries of AI applications. If you're passionate about cutting-edge technology and making a real impact, we’d love to hear from you!
Contact us: [email protected]
Tech stack
KubernetesDockerKafkaRedisAWSAzure
About Manus AI
Manus AI is hiring for the devops & sre engineer role. NewJob aggregates active openings directly from Manus AI's applicant tracking system, so this listing is current.
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