Job Description

We are seeking a

Senior DevOps Engineer (AWS - Python/Bash)

to be a part of a team to lead the transformation to DevOps and Continuous Delivery across the organization. You will work with multiple development projects and collaborate with other DevOps engineers.

In addition to this you will:

Support both development and production environments Implement monitoring processes and design/deploy monitoring dashboards Coaching, mentoring of team members Work directly with development teams to bring new products into the cloud Help to design and support internal development environments inside AWS Design, Implement and Maintain all Amazon Web Services Infrastructure and Operational Services Participate in agile process across multiple development teams Create process to perform continuous deployment, including full orchestration of deployment process Develop tools and scripts to improve efficiency of operational task Create and provide best practices to the organization for DevOps, builds, continuous integration and deployment and infrastructure Build and support system automation, deployment, and continuous integration tools Effectively communicate project status, metrics, and issues

Basic Qualifications:

3-5+ years of experience as a DevOps Engineer 3-5 years working in cloud providers AWS 3-5 years working in Linux environments 3-5 years scripting languages with at least one of the following: Bash or Python 3-5 years using SCM Git, GithHub, and solid understanding branching and merging 3-5 years' experience with the SDLC (Software Development Life Cycle)

Preferred Skills:

Bachelor's degree in Computer Science, Computer Engineering or related field of study Expert in Cloud infrastructures and deployment models Expertise in using AWS services and cli Expertise in Bash and/or Python scripting skills Experience with Continuous Integration and Deployment (CI/CD) tools such as Jenkins, Azure DevOps, and/or GitLabs Strong knowledge of Cloud best practices, operations and security Experience with big data processing tools such as Hadoop or Spark Experience administering Databases such as Postgres, MariaDb, Mongo, MySQL, and or MSSQL Experience with performance tuning and benchmarking Knowledge of Build technologies, Mavin/Gradle/Node/NPM Skilled with Log aggregation using SumoLogic or other tools Experience with Container Infrastructure, ECS, Kubernetes, Docker Swam Skilled with Jira, Confleunce, Jenkins, Azure DevOps, Artifactory. DockerHub, Github Nginx experience Experience with Agile methodology MongoDB and cluster configurations RabbitMQ and cluster configurations ElasticSearch and cluster configurations Experience with NoSQL technologies like Memcache or Redis Excellent communication and written skills

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