Site Reliability Engineer [Multiple Positions Available]
About The Position
DESCRIPTION: Duties: Configure SLO (service level objective)/SLA (Service level Agreement) for the microservices. Work with AWS and cloud formation tools. Work with CI/CD pipeline. Perform Coding using python. Work on Linux administration. Support google cloud platform for running applications. Participate in on-call rotation 24/7. Actively debug production issue and work towards resolving it. Improve operational metrics using Kafka. Work with big query for data analysis. Deploy code in production. Perform automation using Terraform. Actively debug production issue and work towards resolving it. Deploy code in production.
Requirements
- Master's degree in Information Systems Technologies-Information Assurance, Computer Science, Electrical Engineering or related field of study plus 3 years of experience in the job offered or as Site Reliability Engineer, Senior AWS DevOps Engineer, DevOps Engineer, Programmer Analyst, Configuration Management Developer, or related occupation.
- Architecting, building and evolving site reliability capabilities using Ansible and Terraform
- Improving reliability and stability of the applications and platform using Groovy, Ruby and Python
- Developing and automating large scale, high performance data processing system using Kafka
- Implementing and maintaining database systems including MySQL, PostgreSQL and MongoDB that store and retrieve data for application
- Streamlining and accelerating software development lifecycle using CI/CD (continuous integration and continuous development) pipeline
- Deploying production code in Amazon Web Services (AWS) and Google Cloud Platform (GCP)
- Designing, deploying and managing Kubernetes clusters to ensure high availability and disaster recovery
- Working and supporting Linux environment including CentOS and RHEL
Responsibilities
- Configure SLO (service level objective)/SLA (Service level Agreement) for the microservices.
- Work with AWS and cloud formation tools.
- Work with CI/CD pipeline.
- Perform Coding using python.
- Work on Linux administration.
- Support google cloud platform for running applications.
- Participate in on-call rotation 24/7.
- Actively debug production issue and work towards resolving it.
- Improve operational metrics using Kafka.
- Work with big query for data analysis.
- Deploy code in production.
- Perform automation using Terraform.
- Actively debug production issue and work towards resolving it.
- Deploy code in production.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
