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Job Description
- Manage and maintain Monolith system, Mini-System and MicroService systems.
- Improve, test, script, and document the multitude of deployment options
- Build new monitoring/administration solutions including architecture, provisioning, configuration and deployment
- Working with the technical team to automate all DevOps processes.
- React to production deficiencies by continuously implementing automation, self-healing, and real-time monitoring to production systems.
- Working with technical team on Gitlab CI & FastLane &TeamCity and other tools automate iOS and Android build, test, deployment processes.
- Experience in designing, analyzing and troubleshooting large-scale, highly performant distributed systems.
- Experience deploying, managing and troubleshooting of microservice-based software applications (including Web Apps and integrated B2B solutions) .
- Solve complex and difficult problems and build automation to prevent problem recurrence
- Participate in cloud service capacity planning and demand forecasting, software performance analysis and system tuning.
- Collaborate with members of partnering teams to define, design, and implement declarative specifications that form the basis of continuous solutions.
- Follow/enforce Devops recommended practices to ensure successful and streamlined production deployments
- Stay informed of new technologies
- Creating and Building all Local Environments and all Production Systems.
Job Requirements
- A minimum of 4 years of work experience as a Developer/Systems Administrator/DevOps, supporting development teams (sysadmins + Java/Angular software development).
- Bachelor’s degree in Computer Engineering / Computer Science or equivalent education in the form of work experience at similar technology positions.
- Strong Knowledge of managing CI/CD tools preferably Jenkins, teamCity, Gitlab
- Good Knowledge of webservers tools preferably Nginx, SpringBoot,,, .
- knowledge of Source/Revision Control (GIT) and Issue Tracking (JIRA)
- Hands-on experience maintaining highly available infrastructure.
- Expertise in designing, analyzing, and troubleshooting large-scale distributed systems. (e.g., Kafka, ElasticSearch)