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• Post :- 6th Jan 2026

Want someone who does splunk and logs day in and day out

team has been redefining log management future state- as a part of that,
they are looking to engage an engineer with exp in log data engineering

*       Requirements gathering, operational support, implementing log data
to python- ie putting in a log management system like splunk
*       Automating log management platform- all aspects must be automated,
so people who are familiar with ansible/other scripting languages and tools
and log data pipelines
*       Troubleshooting incidents- coordinating and collaborating with users
who are using the platform
*       As part of log data engineering, processing raw data from diff
sources- need to be able to write scripts to call apis, sql querying, etc
*       3-5 years with splunk enterprise env
*       Should have experience managing log agents on windows and linux env
(if they just have one that's ok)- things like splunk, fluentd, etc
*       Exp working with AWS and automation are both musts on top of splunk
exp- if they don't have cloud experience in aws, if we are looking at
someone managing splunk it must be in an aws environment (infra as code in
aws)
*       Prefer a splunk cert but not a must- the key is basically people who
have managed splunk in a  large aws environments and used automation to
manage data. Need large log management platform exp
*       Ansible is preferred automation tool but would take terraform too
*       Iv process- one initial screen, then a longer panel iv
*       Not a good fit if someone is too devops/CICD-y- want someone who
does splunk and logs day in and day out

Responsibilities:
* Support systems engineering lifecycle activities for large hybrid Splunk
and Cribl deployments, including requirements gathering, design, testing,
implementation, operations, and documentation.
* Implementing log data pipelines through automation in Python to ingest
logs into log management platforms like Splunk, Open Search
* Automating platform management processes through Ansible or other
scripting tools/languages
* Troubleshooting incidents impacting the log data platforms
* Coordinating and collaboration with users of the platform
* Develop training and documentation materials
* Support log data platform upgrades including coordinating testing of
upgrades with users of the platform
* Gather and process raw data from multiple disparate sources (including
writing scripts, calling APIs, writing SQL queries, etc.) into a form
suitable for analysis
* Enables log data, batch and real-time analytical processing solutions
leveraging emerging technologies
* Build log data pipelines to help with the development and testing of log
data engineering

Experience:
* Ability to troubleshoot and diagnose complex issues
* Able to demonstrate experience supporting technical users and conduct
requirements analysis
* Can work independently with minimal guidance & oversight
* Experience with IT Service Management and familiarity with Incident &
Problem management
* Highly skilled in identifying performance bottlenecks, identifying
anomalous system behavior, and resolving root cause of service issues.
* Demonstrated ability to effectively work across teams and functions to
influence design, operations, and deployment of highly available software
* Knowledge of standard methodologies related to security, performance, and
disaster recovery

Required Technical Expertise:
* 3-5 years' experience managing and configuring Splunk Enterprise and/or
Splunk Cloud
* Developing and managing requirements, and making data-driven decisions
* Experience with Linux and Windows agents (Splunk, Fluentbit/Fluentd) for
log data engineering
* Experience in designing, developing, and deploying cloud-based solutions
using AWS
* Experience in onboarding new data, configuration, creating new dashboards,
extracting information through Splunk, Cribl
* Experience in development of systems for data extraction, ingestion and
processing of large volumes of data
* Demonstrated proficiency with scripting and automation (bash, python,
other programming languages)
* Familiarity with Splunk rest APIs
* Knowledge of cloud platforms (prefer AWS) and container + orchestration
technologies
* Experience with data pipeline orchestration platforms

Preferred Technical Experience:
* Splunk Certification (Admin or Architect)
* Experience with Ansible tower automations
* Experience using Gitlab.
* Experience with large platform migration efforts
* Experience with AWS OpenSearch
* Experience with Cribl.
* Familiarity with data streaming technologies such as Kafka, Kinesis, spark
streaming, etc.