Are you interested in being part of a small team tasked to build the next-generation industry-leading platform for machine data? We are building a new foundation for Cloud offerings, leveraging the best parts of Splunk with a microservice-based architecture. Utilizing some of the most modern tools available, such as Kubernetes and Go, this is an excellent opportunity to impact the effort to define and build the future of Splunk. You will be joining a team that’s developing both the engine that drives our machine-data platform as well as the infrastructure to run and scale it.
We give our engineers an environment in which they can contribute from day one while also providing opportunities for learning and growth. You’ll learn how our entire stack works – from data ingestion and storage to searching, reporting and building dashboards – all in distributed environments. The work you’ll do will directly impact the experience of our customers.
We are an engineering- and product-focused company. Our engineers take a leading role in designing, architecting, building and testing our product. Engineers at Splunk have a wide impact, from developing new capabilities like metrics ingestion and analysis to working with customers to see their work be used to solve real-world problems.
What we provide:
Opportunities to develop and grow as an engineer. We are the forefront of our industry, always expanding into new areas, and working with open source and new technologies.
A set of talented and dedicated peers, all the way from engineering and QA to product management and customer support.
Breadth and depth. You want to work on an area that spans backend and frontend and SDKs? We have that. You want to go deep into optimizing how we compress data for fast random-access retrieval? We have that too, and more.
Growth and mentorship. We believe in growing engineers through ownership and leadership opportunities. We also believe mentors help both sides of the equation.
A stable, collaborative and supportive work environment. We work in an open environment, have a shared kitchen and sit down for a quick sync every morning.
Balance. We don’t expect people to work 12 hour days. We want you to have a successful time outside of work too. Want to work from home sometimes? No problem. We trust our colleagues to be responsible with their time and commitment, and believe that balance helps cultivate a positive environment.
What you provide:
Desire to Learn and Adapt. We have a lot of projects going on at once, and you’ll have to learn to navigate the code and features. You’ll constantly be learning new areas and new technologies.
Passion. Our customers are passionate about Splunk and we want the same from our engineers. We want you to actively own your work and be excited about your projects.
Understanding of Systems Programming. Examples of area you may be knowledgeable in may include how threads work, understanding of filesystems, server and kernel architectures, good grasp of data structures and algorithms, etc. You don’t need to be an expert, but you should have foundation to build on.
Experience with Cloud and Containers. You have experience in writing software and operationalizing it for deployment to Cloud services, and you’ve worked with the container ecosystem using tools like Docker, ECS and Kubernetes.
We value diversity at our company. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying.
For job positions in San Francisco, CA, and other locations where required, we will consider for employment qualified applicants with arrest and conviction records.
Thank you for your interest in Splunk!
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