Jobs at CRED
Must have skills
About this Opportunity
Work with large-scale data engineering infrastructures and data native technologies such as Spark/EMR, Flink, Apache Pinot, Kafka, Airflow, Tableau, NiFi, Metabase, and Databricks
Work with Observability tools like Loki, Victoriametrics and Datadog
Showcase understanding of best practices in running and managing self managed platforms on kubernetes, ensuring complete observability, HA, and self-served CI/CD system
Foster cross-team collaboration, building and maintaining relationships with customer teams, architects, and engineering teams to jointly achieve key deliverables ensuring production scalability and stability
Demonstrate strong troubleshooting and debugging skills, including conducting post-incident reviews, root cause analysis, and triaging product or system issues to analyze sources, impacts, and resolve them for service operations and quality
have experience in SRE/DevOps, with a focus on distributed cloud native systems design, observability, container orchestration, maintenance, and troubleshooting
experience with public cloud platforms, preferably AWS
have hands-on experience in Kubernetes/EKS, building and operating large-scale production systems with stringent SLOs & SLAs
are proficient in modern DevOps programming and scripting languages: Shell, Python, GoLang
demonstrate experience in Linux Infrastructure management and systems administration with Linux
have experience with Infrastructure as code & Configuration management using tools like Terraform, Helm, Ansible
have expertise in Continuous Integration and Deployment (CI/CD) and release orchestration using Jenkins, ArgoCD, GitHub Actions, etc.
have expertise in big data systems like Spark/EMR, Flink, Airflow etc.
have expertise in pubsub solutions like Kafka.
are familiar with system observability tools such as ELK/EFK, Prometheus, Grafana, alert manager, Sysdig, Datadog, Victoria Metrics, etc.
have exceptional interpersonal, verbal, and written communication skills
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