Software Engineer - Fullstack

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 for backend or 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 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 (on-prem) using Kubernetes and Spark and Splunk Enterprise platform 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 Engineering Leadership, Design Team, Customer Support team, data scientists 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.

As a Software Engineer, you’ll deliver backend and frontend features for cloud and on-prem platforms, focusing on scalability, performance, and security. You'll work with cross-functional teams to build security solutions that help customers detect and respond to cyber threats, while driving improvements and owning the quality of your work.

Responsibilities

• Gain a deep understanding of our product architecture, usage patterns, and real-world deployment scenarios to develop solutions that will bring value to our customers
• Improve the product, keeping scalability and performance considerations as a high priority
• Lead and drive projects to completion with minimal direction
• Partner with other engineers, engineering management, data science on driving project
• Collaborate with other team members to craft and build durable solutions
• Help identify and develop ways to improve the team's productivity and project efficiency by expanding our existing tools.
• Keep product quality top of mind with automated testing.
• Become well-versed in Splunk's core technologies as they apply to application development
• Mentor junior engineers as they develop their application development skills
• ability to effectively work with other teams within a dynamic environment and support team
• Drive root cause analysis investigations and post-mortems for defects and regressions.
• Be part of the on-call shift team.
  
  

Requirements

• 4+ years of relevant industry experience
• Proficiency in Python/Java or Scala programming, RESTful web services
• Proficient in Linux environments and cloud deployments, particularly with AWS, emphasizing standard processes in scalability and security
• Being able to understand delivery models - CI/CD, Dockers, Containers etc
• Good understanding of databases (relational or non-relational)
• Working experience with engineering teams to plan, develop, and release software
• An understanding of test-driven development (TDD)
• Experience with an agile software development model
  
  

Bonus Skills

• Working knowledge of web development (e.g., HTML5/CSS, JavaScript, Node.js, React.js).
• Experience in an Agile DevOps engineering environment that effectively uses CI/CD pipelines (GitLab, GitHub), including the setup and management of both GitLab and GitHub CI/CD processes
• Knowledge of using Splunk or Splunk integration
• Experience with SaaS product development (AWS/Azure/GCP)
• Experience working on open-source or development-in-the-open projects
• Familiarity with security and networking concepts
• Familiarity with AI/ML concepts
  
  

We value diversity, equity, and inclusion at Splunk and are an equal employment opportunity employer. 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.