Join us as we pursue our exciting new vision to make machine data accessible, usable, and valuable to everyone. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re focused on our work, our customers, having fun, and most importantly, to each other’s success.
Getting a vast variety of massive data ready for analysis is never easy. Splunk is looking for a Software Engineer to join our AI Ops Engineering team to contribute to the sophisticated products to collect, transform and enrich data in a fast, scalable, and reliable way both for Cloud and On-premise customers.
Join a team that is passionate about ensuring code hygiene, using open source libraries, continuous integration and delivery, and a strong belief in automated testing at multiple levels (unit, feature, system, integration, production). You will work with team members in a variety of locations, so excellent team collaboration is important. We rely on daily standups to facilitate communication and get help when needed and use current tools (Slack, Confluence, video conference) to communicate decisions and stay connected.
Responsibilities
What you'll need
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.
San Jose, CA, USA
0-2 year
Washington, D.C., USA
8-10 year
Massachusetts, USA
8-10 year
North Carolina, USA
8-10 year
New York State, USA
8-10 year
California, USA; Colorado, USA; District of Columbia, USA; Illinois, USA; New York State, USA; Oregon, USA; Texas, USA; Virginia, USA; Washington, USA
4-6 year