Job Description

• 4+ years managing, administrating, and engineering a large Splunk infrastructure.
• 3+ years of experience managing servers, networks, and infrastructure on Linux in a cloud environment.
• 3+ years of Systems administration, shell scripting experience, and/or other higher level scripting language (Python, Ruby, etc.).

Job summary
There is nothing COOLER than thinking and developing a brand-new IoT protocol like Sidewalk.
Amazon Sidewalk is looking for a Splunk Engineer to help build enterprise solutions and tooling for our data and analytics infrastructure. This individual will join a team of engineers to help solve complex architectural challenges. You'll constantly reevaluate our Splunk deployments to improve architecture, knowledge models, user experience, performance, and stability.
Key job responsibilities

• Administer, monitor, and deploy large scale systems and services on AWS.
• Monitor communications channels, monitoring tools, and related systems to ensure awareness of system stability, health, and performance.
• Identify and implement automation for repetitive tasks and requests.
• Perform outreach and provide support for internal teams and business units.
• Work with global teams of engineers.
• Drive initiatives for upgrading and scaling systems to enhance capacity, feature set, availability, reliability, and performance.
• Recommend alternative design and platform decisions.
• Perform cost reviews of existing resources and assess opportunities for reducing costs or infrastructure footprint.
• Collaborate with other technical leads to integrate a design that's well documented
• Strong experience with search processing language (SPL), RegEx, reporting, dashboard development, and search acceleration techniques.
• Experience with Splunk systems management in a large clustered environments in AWS.
• Experience scripting with the Splunk REST API.
• Good knowledge of Splunk data ingestion, field extraction, and post-ingestion processing.
• Deep knowledge of Splunk behavior in automation tasks which includes Splunk App deployments, rolling restarts, Splunk App updates, and infrastructure updating/upgrading.
• Configuration Management and IaC - Ansible, Terraform preferred; CloudFormation, CDK.
• Scripting languages - Python, Ruby, Bash; with AWS SDK and REST experience.
• AWS - EC2, ELB, Route53, AutoScaling, IAM, S3, Lambda.
• CI / CD automation - AWS CodePipeline, Bitbucket, Gitlab, Jenkins.
• Ability to work across time zones and teams.
• Splunk Architect Certification strongly preferred.
• SmartStore and Workload Management experience strongly preferred.
• Data Engineering experience (Kafka, Kinesis, Logstash, Filebeat, Vector) strongly preferred.