Operations Engineer
Splunk Security Coe
Confirmed live in the last 24 hours
Data management & visualization platform
Company Overview
Splunk's mission is to address the challenges and opportunities of managing massive streams of machine-generated big data. Splunk is the leading software platform for machine data that enables customers to gain real-time Operational Intelligence.
AI & Machine Learning
Data & Analytics
Cybersecurity
Company Stage
IPO
Total Funding
$1.4B
Founded
2003
Headquarters
San Francisco, California
Growth & Insights
Headcount
6 month growth
↑ 1%1 year growth
↑ 1%2 year growth
↑ 8%Locations
Remote
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
AWS
JavaScript
Git
Linux/Unix
REST APIs
Python
Go
Communications
CategoriesNew
IT & Security
Software Engineering
Requirements
- 2+ years of proven experience in Cybersecurity technologies with focus on one or more of the following areas such as SIEM, vulnerability management, firewalls, forensics, data logging, and IAM
- 2+ years of demonstrable experience in tool integrations, CI/CD and REST APIs as well as software development experience with Python, Golang, JavaScript, or similar
- Fully proficient in git and version control systems, like GitLab and GitHub
- Experience in Security Operations, SIEM, Incident Response, and Threat Intelligence
- Skilled in Linux administration and Cloud Technologies, such as AWS
- Excellent communication skills, both verbal and written; able to explain intricate technical topics to varying groups
- Splunk Certified Architect or 2+ years architecture experience with distributed Splunk deployment, managing search head clustering, indexer clustering, and deployment servers - OR -
- Splunk Certified Developer or 2+ years developing Splunk applications and add-ons
Responsibilities
- Work closely with the Splunk Global Security (SGS) teams to improve existing automation and search initiatives that deliver resilient solutions
- Tap into your expertise of all things Splunk to address sophisticated issues
- Build and improve custom data onboarding scripts and add-ons for internal corporate tools and services
- Analyze internal metrics and workflows to reduce false positives and accurately focus engineering efforts
- Develop repeatable processes to build playbooks in order to efficiently resolve any incidents that arise
- Serve as initial support for internal customers and maintain high availability of playbooks
- Implement validated security strategies related to our team's Linux-based and AWS-based infrastructure, Python code, and containerized services