About the role
Responsibilities:
- Design and implement scalable infrastructure for delivering and running web, mobile, and big data applications on the cloud.
- Scale and optimize a variety of SQL and NoSQL databases (especially MongoDB), web servers, application frameworks, caches, and distributed messaging systems.
- Automate the deployment and configuration of the virtualized infrastructure and the entire software stack.
- Plan, implement, and maintain robust backup and restoration policies, ensuring low RTO and RPO.
- Support several Linux servers running our SaaS platform stack on AWS, Azure, IBM Cloud, and Ali Cloud.
- Define and build processes to identify performance bottlenecks and scaling pitfalls.
- Manage robust monitoring and alerting infrastructure.
- Explore new tools to improve development operations and automate daily tasks.
- Ensure high availability and auto-failover with minimal or no manual intervention.
Requirements:
- Bachelor's degree in computer science, information technology, or a related field.
- 8-10 years of experience in designing and maintaining high-volume and scalable microservices architecture on cloud infrastructure.
- Strong background in Linux/Unix Administration and Python/Shell Scripting.
- Extensive experience working with cloud platforms like AWS (EC2, ELB, S3, Auto Scaling, VPC, Lambda), GCP, and Azure.
- Experience in deployment automation, Continuous Integration and Continuous Deployment (Jenkins, Maven, Puppet, Chef, and GitLab), and monitoring tools like Zabbix, CloudWatch Monitoring, and Nagios.
- Knowledge of Java Virtual Machines, Apache Tomcat, Nginx, Apache Kafka, microservices architecture, and caching mechanisms.
- Experience in query analysis, performance tuning, and database redesign.
- Experience in enterprise application development, maintenance, and operations.
- Knowledge of best practices and IT operations in an always-up, always-available service.
- Excellent written and oral communication skills, judgment, and decision-making skills.