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Job Description
As an ideal candidate for this role, you should have 5-8 years of experience with a strong background in Python, specifically in monitoring, automation, and alerting. Additionally, hands-on experience operating Airbyte in production is a key requirement. Your expertise should also include running workloads on Kubernetes and a solid understanding of AWS services such as S3, IAM, and monitoring tools.
Key Responsibilities:
- Strong experience with Python for monitoring, automation, and alerting
- Hands-on experience operating Airbyte in a production environment
- Running workloads on Kubernetes
- Understanding and utilization of AWS services, especially S3, IAM, and monitoring tools
- Implementing data ingestion pipelines and familiarity with ETL/ELT concepts
- Knowledge of logging, metrics, and alerting systems
- Managing cost visibility and optimizing cloud infrastructure
- Proficiency with Git and operational best practices
- Familiarity with containerization using Docker is preferred
- Experience with infrastructure cost monitoring tools is an added advantage
- Preferred knowledge of data platform reliability or SRE practices
Qualifications Required:
- 5-8 years of relevant experience
- Strong proficiency in Python
- Hands-on experience with Airbyte
- Proficiency in Kubernetes
- Solid understanding of AWS services, especially S3, IAM, and monitoring tools
- Experience with data ingestion pipelines and ETL/ELT concepts
- Familiarity with logging, metrics, and alerting systems
- Ability to manage cost visibility and optimization for cloud infrastructure
- Proficiency with Git and operational best practices
- Familiarity with Docker containerization is preferred
- Experience with infrastructure cost monitoring tools is an added advantage
- Knowledge of data platform reliability or SRE practices is preferred As an ideal candidate for this role, you should have 5-8 years of experience with a strong background in Python, specifically in monitoring, automation, and alerting. Additionally, hands-on experience operating Airbyte in production is a key requirement. Your expertise should also include running workloads on Kubernetes and a solid understanding of AWS services such as S3, IAM, and monitoring tools.
Key Responsibilities:
- Strong experience with Python for monitoring, automation, and alerting
- Hands-on experience operating Airbyte in a production environment
- Running workloads on Kubernetes
- Understanding and utilization of AWS services, especially S3, IAM, and monitoring tools
- Implementing data ingestion pipelines and familiarity with ETL/ELT concepts
- Knowledge of logging, metrics, and alerting systems
- Managing cost visibility and optimizing cloud infrastructure
- Proficiency with Git and operational best practices
- Familiarity with containerization using Docker is preferred
- Experience with infrastructure cost monitoring tools is an added advantage
- Preferred knowledge of data platform reliability or SRE practices
Qualifications Required:
- 5-8 years of relevant experience
- Strong proficiency in Python
- Hands-on experience with Airbyte
- Proficiency in Kubernetes
- Solid understanding of AWS services, especially S3, IAM, and monitoring tools
- Experience with data ingestion pipelines and ETL/ELT concepts
- Familiarity with logging, metrics, and alerting systems
- Ability to manage cost visibility and optimization for cloud infrastructure
- Proficiency with Git and operational best practices
- Familiarity with Docker containerization is preferred
- Experience with infrastructure cost monitoring tools is an added advantage
- Knowledge of data platform reliability or SRE practices is preferred
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