Splunk Principal Software Engineer – Backend, NLP Platform in San Jose, California
Join us as we pursue our disruptive 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 committed to our work, customers, having fun and most importantly to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!
Are you interested in making an impact to Splunk’s Incubation team as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone? This is a compelling opportunity to work on cutting edge technologies to build Splunk’s next generation NLP platform.
We are looking for a passionate Principal Software Engineer focused on building Splunk’s next generation NLP platform. We are an engineering and product-focused company and our engineers take a leading role in designing, architecting, building and testing our product. We want you to help us build and expand in areas of natural language processing, machine learning, and making our APIs and stack more developer-friendly.
Design and implement a large scale, distributed system
Quickly learn new technologies and product areas
Write highly efficient, robust, multi-threaded object oriented code
Analyze and solve performance and scalability problems
Work with Technical Support on identifying and troubleshooting issues
You have 10+ years related experience
You have worked in a startup or a track record of starting and delivering a solution in an Enterprise
You have worked in a cross functional team (PM, QA, UX)
You have expert level skills in Java, Scala and Object Oriented Programming
You have a solid foundation in API, data structures, algorithms, software design and security
You have good understanding of Systems Programming (network stack, file system, OS services)
Nice to have:
Experience in NLP - specifically Query, Understanding and Generation
Some knowledge of machine learning (how to use and integrate to)
Experience in Apache Spark, Kafka
What we offer you:
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 incredibly 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.
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 dedication, and believe that balance helps cultivate a great environment.
Splunk was founded to pursue a disruptive new vision: make machine data accessible, usable and valuable to everyone. Machine data is one of the fastest growing and most complex areas of big data—generated by every component of IT infrastructures, applications, mobile phone location data, website clickstreams, social data, sensors, RFID and much more.
Splunk is focused specifically on the challenges and opportunity of taking massive amounts of machine data, and providing powerful insights from that data. IT insights. Security insights. Business insights. It’s what we call Operational Intelligence.
Since shipping its software in 2006, Splunk now has over 13,000 customers in more than 110 countries around the world. These organizations are using Splunk to harness the power of their machine data to deepen business and customer understanding, mitigate cybersecurity risk, prevent fraud, improve service performance and reduce costs. Innovation is in our DNA – from technology to the way we do business. Splunk is the platform for Operational Intelligence!
Splunk has more than 2,700 global employees, with headquarters in San Francisco, an office in San Jose, CA and regional headquarters in London and Hong Kong.
We’ve built a phenomenal foundation for success with a proven leadership team, highly passionate employees and unique patented software. We invite you to help us continue our drive to define a new industry and become part of an innovative, and disruptive software company.
Benefits & Perks: Wow! This is really cool!
Medical, full company paid Dental, Vision and Life Insurance, Flexible Spending and Dependent Care Accounts, Commuter Accounts, Employee Stock Purchase Plan (ESPP), 401(k), 3 weeks of PTO, sick leave, stocked micro kitchens in Splunk offices, catered lunches on Mondays, catered breakfast on Fridays, basketball hoops, ping pong, arcade games, BBQ’s, soccer, “Fun Fridays”.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Medical, full company paid Dental, Vision and Life Insurance, Flexible Spending and Dependent Care Accounts, Commuter Accounts, Employee Stock Purchase Plan (ESPP), 401(k), 3 weeks of PTO and sick leave. Our work environments vary by location however we believe in hosting amenities and fun activities to fuel our energy. You may find fully stocked micro kitchens, catered lunches on Mondays and breakfast on Fridays, basketball hoops, ping pong, arcade games, BBQ’s, soccer and “Fun Fridays”.
This isn’t a job – it’s a life changer – are you ready?
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 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.
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