Splunk

Principal Software Engineer - 26927

Kraków, Poland
Streaming Kafka PostgreSQL Docker Machine Learning Kubernetes Spark Java Scala Hadoop
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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 Principal Software Engineer to help lead, design, develop and deliver Splunk's User Behavior Analytics (UBA) 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, UBA 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 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
  • Champion, coach and mentor others to solve problems in new and creative ways with the goal to maintain team efficiency and morale
Experience
Required:
  • Java and/or Scala programming experience
  • Familiarity with streaming and distributed computing technologies such as Kafka, Spark, Hadoop, Impala, Postgres
  • 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
  • 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
  • 12 years of related experience with a technical Bachelor’s degree; or equivalent practical experience; or 10 years and a technical Master’s degree; or a Ph.D. with 9 years experience; or equivalent practical experience
Desired:
  • Background in developing machine learning products for the Security market 
  • Experience in building an ETL pipeline with high-volume data ingestion
  • Examples of leadership and architecture design of big data and ML based platforms
  • 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
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 you are applying.

Thank you for your interest in Splunk!

Splunk
Splunk
Analytics Information Technology Intelligent Systems Real Time Software

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