Description 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 passionate about working on products that make a difference for your customers? Do you enjoy building large scale applications that are powered by huge data sets? Do you value working in an environment where you’re empowered to make key technical decisions across a full stack of technologies? If so, a role on Splunk’s Security Analytics team would be a great fit for you. Role We are seeking a Software Engineer to help design, develop and deliver Splunk’s User & Entity Behavior Analytics (UEBA) security analytics solution that detects known and unknown security threats at scale using big data and machine learning techniques. Delivered on customer managed resources using Kubernetes and Spark to run innovative stream processing and machine learning algorithms in near real-time, UEBA helps security analysts quickly identify and resolve threats. We are a passionate team who care deeply about our customers and our teammates. In this role, you will work directly with Engineering Leadership, Product Management, our Design Team, our Customers and other engineering teams to help derive the best experience for the customer. We have a lean process that focuses on empowering and serving our engineers as opposed to just directing them. Responsibilities Achieve a deep knowledge of our product architecture, usage patterns, and real world use-cases in order to better understand what solutions will bring value to our customers Develop new product features, clarify and improve designs, and help put together a plan for how to make it happen (using Agile Methodologies) Collaborate closely with Product Management and members of our team to design and create comprehensive end-to-end user workflows Keep product quality top of mind by extensively using Continuous Integration/Continuous Development (CI/CD), testing technologies (unit, functional, performance), and best practices to ensure that the product is of high quality Experience Required: Java and/or Scala programming experience Familiarity with streaming and distributed computing technologies such as Kafka, Spark, Hadoop, Impala, Postgres Experienced with an Agile DevOps engineering environment that effectively uses CI/CD pipelines such as GitLab Strong collaborative and interpersonal skills, specifically a proven ability to effectively work with others within a dynamic environment Ability to learn new technologies quickly and to understand a wide variety of technical challenges to be solved 3 years of related experience with a technical Bachelor’s degree; or equivalent practical experience; or 2 years and a technical Master’s degree or a Ph.D.; or equivalent practical experience Desired: Exposure to working with container ecosystems (Docker, Kubernetes, Kubernetes Operator Framework) Knowledge of distributed computing architectures and principles that solve for scalability, performance, redundancy and reliability Familiarity with Splunk’s Security products What We Offer You A constant stream of new things for you 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 to product management and customer support 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 Splunk is an Equal Opportunity Employer: At Splunk, we believe creating a culture of belonging isn’t just the right thing to do; it’s also the smart thing. We prioritize diversity, equity, inclusion, and belonging to ensure our employees are supported to bring their best, most authentic selves to work where they can thrive. Qualified applicants receive consideration for employment without regard 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, genetic information, veteran status, or any other consideration made unlawful by federal, state, or local laws. We consider qualified applicants with criminal histories, consistent with legal requirements. Note: Base Pay Range SF Bay Area, Seattle Metro, and New York City Metro Area Base Pay Range: $146,400.00 – 201,300.00 per year California (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and Massachusetts Base Pay Range: $131,760.00 – 181,170.00 per year All other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area. Base Pay Range: $117,120.00 – 161,040.00 per year Splunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills and experience of the candidate. In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards. Benefits are an important part of Splunk’s Total Rewards package. This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off and much more! Learn more about our comprehensive benefits and wellbeing offering at Thank you for your interest in Splunk! #J-18808-Ljbffr
PostgreSQL GitLab impala CI/CD Docker Scala Kubernetes Apache Spark Java Apache Kafka Hadoop Software Engineer