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About
As a virtue of being part of this team you would be exposed to a variety of challenges supporting and building highly available systems, working closely with U.S. and India based teams and have the opportunity to expand the capabilities the team has to offer to the wider organization.
3+ years of experience in DevOps, systems engineering, build/release/deployment automation, etc.\n\nAbility to program in a high-level programming languages or scripting, such Java, Python, Shell, or Golang, etc.\n\nExperience with software tooling to deliver infrastructure and building CI/CD pipeline with tools such as Terraform, Pulumi, Ansible, or Spinnaker toolset\n\nExperience implementing applications in private/public cloud infrastructure (AWS or GCP) and container technologies, like Kubernetes and Docker\n\nExperience with integrating GenAI or MCP driven tools into DevOps workflows (intelligent code assistance, anomaly detection, automated tests/builds) or components that tackle internal use-cases\n\nBachelor's degree in Computer Science or equivalent work related experience
Self-driven and motivated with proven ability to learn new technologies and share DevOps best practices\n\nWorking experience with LLMs that tackle real-time problems when debugging or auto-remediating production incidents without manual interventions is a plus\n\nExperience with AWS services including VPC, IAM, EC2, EKS, CloudWatch, S3, RDS, Route53. Experience in similar services for GCP is preferred\n\nExperience with logging infrastructure and using tools like OpenTelemetry, Splunk, Logstash, or Kibana and networking load balancers such as Ngnix, HAProxy\n\nExperience with Kafka, VectorDB, RDMBS and NoSQL (MongoDB, Cassandra and Oracle)
Languages
- English
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