Degree in Artificial intelligence- AI
Aartificial intelligence, AWS, Azure, Continuous Integration & Continuous Delivery - CI/CD, Design, DevOps, GoLang, Google Cloud Platform (GCP), Infrastructure as code, Machine learning techniques, Python Programming
About the role
Splunk is looking for an enthusiastic and innovative Software Engineer to join our Splunk Observability team who will work on systems that empower our customers to quickly detect and resolve their infrastructure and application issues.
You will be a key contributor for the user facing web application for Splunk Observability Infrastructure Monitoring. Splunk’s Observability Suite is a leader in the Gartner Magic Quadrant and Infrastructure Monitoring is one of the most used and popular products in this suite.
What you’ll get to do
Must-have Qualifications
Splunk is an Equal Opportunity Employer
Splunk, a Cisco company, is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Splunk turns machine data into answers. Organizations use market-leading Splunk solutions with machine learning to solve their toughest IT, Internet of Things and security challenges. Splunk (the product) captures, indexes and correlates real-time data in a searchable repository from which it can generate graphs, reports, alerts, dashboards and visualizations.