Senior Software Engineer
Description
Join us as we pursue our exciting vision to make machine data accessible, usable and valuable to everyone. 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!
We are seeking a Senior Software Engineer to help deliver Splunk's Security’s E xposure Analytics solution.
About the Exposure Analytics Team
We are a passionate team who cares deeply about our customers, our teammates and you. In this role, you will work with product management, our design team, our customers and other engineering teams. We have a lean process that focuses on empowering and serving our engineers as opposed to just directing them.
Our team develops software in Python and React and uses modern technologies like Docker, GitLab CI/CD, AWS and many more.
Our Engineering Team operates in the following time zones : Central European Time, Eastern Time, Mountain Time and Pacific Time.
What you'll get to do
- Own and be accountable for the design, development and operation of new product features.
- Lead team design and architectural discussions.
- Build reliable, scalable, and high-performance applications.
- Debug and resolve customer-reported issues, delivering effective solutions.
- Participate in on-call rotations, post-incident reviews, and other operational activities to ensure service reliability.
- Learn, explore, and integrate new technologies into the team’s workflow.
- Mentor junior members of the team with an eye toward their future career growth.
Minimum qualifications
-
Strong proficiency in Python or Go (Python preferred), with solid knowledge of APIs, microservices, data structures and algorithms
-
Experience with data stores and query languages , including Splunk/SPL, Elasticsearch, Redis and SQL
-
Proven experience building and architecting web applications, services and APIs
-
Hands-on experience with AWS, Azure or GCP , and container technologies such as Docker and Kubernetes
-
Experience with observability, CI/CD and DevOps practices , including monitoring, telemetry, alerting and tools such as Jenkins or GitLab
-
8 years of related experience with a technical Bachelor’s degree or six years and a technical Master’s degree
-
Hands-on experience in working with AI coding assistants like Codex, Claude Code, Cursor etc.
-
Ability to prioritize and complete multiple tasks with minimal direction, a sense of intellectual curiosity, humility, accountability and positivity.
Nice-to-have qualifications
-
Proficiency in frontend programming languages and frameworks such as JavaScript, TypeScript and React .
-
Hands-on experience with building, testing and deploying production ready LLM based AI solutions .
This role comes with the on-call shift schedule up to 20% of time .
Why Cisco?
At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
We are Cisco, and our power starts with you.