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About the role
As part of the engineering team, youll provide developers with a full set of DevOps lifecycle tools that will result in a fully automated release management pipeline. Responsibilities Design, create, own, and maintain systems and service deployments in multi-cloud and container architecture (AWS, Kubernetes) Continuously improve CI/CD infrastructure for better reliability, observability, performance scalability. Contributing to important architectural and operational decisions like micro-services vs. monoliths, deployment techniques, technologies, policies, etc. Develop products in the cloud-native ecosystem or architect and develop tools to help the adoption of cloud-native technology. Leading incident response and postmortems Mentor and train team members and review their work Technologies You Will Use AWS Docker, Kubernetes, EKS/GKE, Serverless One of Golang, Ruby, Python, Bash Terraform, Vault Postgresql, Redis, MongoDB CircleCI, Jenkins, GitHub Actions Spark, Redshift, ElasticSearch (ELK stack) Various other Cloud Native technologies Skills Required 7 - 12 years experience in a DevOps and/or software engineering role Minimum 1 year of experience leading a team of DevOps, SRE, CI/CD engineers of any size. Hands-on scripting and software development fluency in any programming language (Python, Java, Node). Strong CI/CD implementation with Jenkins/Gitlab/GitHub Actions and Integrate 3rd party tools with CICD processes Familiarity with AWS services such as RDS, S3, EC2, CloudFront, SQS, Redshift, DynamoDB, Kinesis ECS EKS Good knowledge of tools such as Docker, Kubernetes, Terraform(Iac) /CloudFront Implement scripting to extend build\deployment\monitoring processes (e.g. PowerShell, Bash, Python) Proficient with Kubernetes concepts such as Pods, Services, Deployments, Statefulsets, volume claims, Helm Charts, etc. Infrastructure automation experience with knowledge of at least a few of these tools: CloudFormation, Terraform, Packer Proficiency with one or more SQL and NoSQL databases such as MySQL, PostgreSQL, Elasticsearch, or MongoDB. Bachelor s degree in Computer Science or equivalent experience.
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