JobRialto
Senior Splunk/Cloud Engineer
JobRialto, Austin, Texas, us, 78716
Location:
Westlake, TX or Merrimack, NH.
The Role
Do you want to work on leading edge cloud technologies which are transforming how developers work with cloud?
As a Senior/Splunk Cloud Engineer in our Cloud Platforms area, you will work within a diverse team comprised of passionate technologists who believe in the power of innovation and constant collaboration.We believe that small, empowered, self-motivated teams can achieve outstanding things.We are passionate about opensource contribution, sharing our expertise and knowledge with the engineering community while adopting a continuous learning approach support by a dedicated learning day each week.
Splunk Search Optimization:
Develop and implement efficient search queries to improve performance and reduce resource consumption.
Optimize existing searches and dashboards to ensure they run efficiently and return results quickly.
Use summary indexing, data models, and accelerated data models to enhance search performance.
Data Optimization:
Implement data retention policies to manage the lifecycle of data within Splunk.
Optimize data ingestion processes to ensure minimal latency and efficient use of storage.
Use techniques such as data summarization and compression to manage large volumes of data effectively.
Skills:
Search Optimization Skills:
Proficiency in creating and optimizing Splunk Search Processing Language (SPL) queries.
Experience with Splunk's search optimization tools and techniques, such as tstats, summary indexing, and data model acceleration.
Data Optimization Skills:
Strong understanding of data lifecycle management and retention policies.
Ability to implement data summarization and compression techniques.
Familiarity with optimizing data ingestion pipelines for performance and efficiency.
Workload Management Skills:
Experience in managing and balancing workloads across multiple Splunk instances.
Ability to prioritize and allocate resources effectively to ensure optimal performance.
Proficiency in using Splunk's workload management features to monitor and control resource usage.
Desired Experience:
Experience in optimizing large-scale Splunk deployments for search performance and data management.
Knowledge of best practices for data retention and lifecycle management in Splunk.
Familiarity with Splunk's advanced features for data optimization, such as data models and summary indexing.
Proven track record in managing workloads and resource allocation in a Splunk environment
Education:
Bachelors Degree
Westlake, TX or Merrimack, NH.
The Role
Do you want to work on leading edge cloud technologies which are transforming how developers work with cloud?
As a Senior/Splunk Cloud Engineer in our Cloud Platforms area, you will work within a diverse team comprised of passionate technologists who believe in the power of innovation and constant collaboration.We believe that small, empowered, self-motivated teams can achieve outstanding things.We are passionate about opensource contribution, sharing our expertise and knowledge with the engineering community while adopting a continuous learning approach support by a dedicated learning day each week.
Splunk Search Optimization:
Develop and implement efficient search queries to improve performance and reduce resource consumption.
Optimize existing searches and dashboards to ensure they run efficiently and return results quickly.
Use summary indexing, data models, and accelerated data models to enhance search performance.
Data Optimization:
Implement data retention policies to manage the lifecycle of data within Splunk.
Optimize data ingestion processes to ensure minimal latency and efficient use of storage.
Use techniques such as data summarization and compression to manage large volumes of data effectively.
Skills:
Search Optimization Skills:
Proficiency in creating and optimizing Splunk Search Processing Language (SPL) queries.
Experience with Splunk's search optimization tools and techniques, such as tstats, summary indexing, and data model acceleration.
Data Optimization Skills:
Strong understanding of data lifecycle management and retention policies.
Ability to implement data summarization and compression techniques.
Familiarity with optimizing data ingestion pipelines for performance and efficiency.
Workload Management Skills:
Experience in managing and balancing workloads across multiple Splunk instances.
Ability to prioritize and allocate resources effectively to ensure optimal performance.
Proficiency in using Splunk's workload management features to monitor and control resource usage.
Desired Experience:
Experience in optimizing large-scale Splunk deployments for search performance and data management.
Knowledge of best practices for data retention and lifecycle management in Splunk.
Familiarity with Splunk's advanced features for data optimization, such as data models and summary indexing.
Proven track record in managing workloads and resource allocation in a Splunk environment
Education:
Bachelors Degree