Senior DevOps Engineer (AWS - Python/Bash) - Remote

We are seeking the 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.

• 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

• 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, GitHub, and solid understanding branching and merging
• 3-5 years’ experience with the SDLC (Software Development Life Cycle)

• 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, Maven/Gradle/Node/NPM
• Skilled with Log aggregation using SumoLogic or other tools
• Experience with Container Infrastructure, ECS, Kubernetes, Docker Swarm
• Skilled with Jira, Confluence, 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