Role:
Are you interested in being part of a small team tasked to build the next-generation industry-leading platform for machine data? Splunk is looking for a Software Engineer to join the Data Federation engineering team and have a large impact on a team responsible for building Federated Search capabilities. We're working on the cutting edge of data analysis and correlation, letting our customers have a single pane of glass for their data from sensors to web servers, across multiple deployments.
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. As we scale Splunk into new areas, engineers have delivered critical new features such as report acceleration, data models and pattern detection, to name a few. We want you to help us build and expand new areas in machine learning, parallelization and making our stack more developer-friendly.
Responsibilities:
- Write backend code for Splunk search infrastructure.
- Build robust, fault-tolerant distributed systems in a multi-threaded/multi-process environment.
- Analyze and improve scalability of retrieval, routing and collection of data across multiple deployments.
- Analyze and improve the scalability of data collection, routing, storage and retrieval.
- Define and perform various search language layer optimizations/transformations.
Requirements:
- You have 5+ years of professional software engineering experience.
- You have a BS or MS in Computer Science or related engineering discipline.
- Master knowledge of developing and debugging any object oriented language like C++
- You have knowledge and experience with AWS services, like EC2, S3 etc.
- You have a good foundation in backend systems, storage, filesystem, memory, multi-threading is a plus.
- You have familiarity with any query language like SQL, SPL etc.
- You have a proven foundation in data structures, algorithms, software design.
- You have knowledge of modern distributed system design and implementation.
A constant stream of new things to learn. We're always expanding into new areas, bringing in open source projects and contributing back, and exploring new technologies. A set of exceptionally talented and dedicated peers, all the way from engineering and QA to product management and customer support.
Breadth and depth. You want to work in 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.
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 phenomenal environment.
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.
#LI-MM2
Individuals seeking employment at Splunk are considered without regards to race, religion, color, national origin, ancestry, sex, gender, gender identity, gender expression, sexual orientation, marital status, age, physical or mental disability or medical condition (except where physical fitness is a valid occupational qualification), genetic information, veteran status, or any other consideration made unlawful by federal, state or local laws. Click here to review the US Department of Labor’s EEO is The Law notice. Please click here to review Splunk’s Affirmative Action Policy Statement.
Splunk also has policies in place to protect the personal information candidates disclose to us as part of the application process. Please click here to review Splunk’s Career Site Privacy Policy.
Splunk does not discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Please click here to review Splunk’s Pay Transparency Nondiscrimination Provision.
Splunk is also committed to providing access to all individuals who are seeking information from our website. Any individual using assistive technology (such as a screen reader, Braille reader, etc.) who experiences difficulty accessing information on any part of Splunk’s website should send comments to accessiblecareers@splunk.com. Please include the nature of the accessibility problem and your e-mail or contact address. If the accessibility problem involves a particular page, the message should include the URL of that page.
Splunk doesn't accept unsolicited agency resumes and won't pay fees to any third-party agency or firm that doesn't have a signed agreement with Splunk.
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