Senior Software Engineer (Python & AI), Data Management Engineering - Splunk

Description

Join us as we pursue our innovative 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, our customers, having fun and most meaningfully, to each other’s success.

Our Add-ons Data Management Team is a dynamic and diverse technology group dedicated to building and managing Splunk add-ons – applications that accelerate customers’ data onboarding processes. Our portfolio enables data ingestion and normalization from a wide range of vendors’ products. We are responsible for developing AI-based agentic solutions to keep up with constantly evolving data models improving efficiency and driving innovation.

We are seeking a skilled Python Developer with experience working with at least one of the three largest cloud providers (AWS, Azure, or GCP) to support the development and enhancement of key Splunk services. The ideal candidate must have hands‑on experience with cutting‑edge technologies including Large Language Models (LLMs), Generative AI, agentic architecture, and Retrieval‑Augmented Generation (RAG).

We deal with challenges of ingesting and processing data at scale and in a reliable and real‑time manner. If you possess a passion for outstanding technology and embrace the challenge of working with systems that handle terabytes of data, then this position is for you.

Role

• Participate in the complete software development cycle: Understand requirements, design, develop, test, automate and deploy software

• Identify and resolve pre‑production system bottlenecks and production issues

• Engage in design and code reviews of the product, and enhance your knowledge of customers’ experiences to prevent future problems

• Make code maintainable and the product diagnosable and serviceable

• Participate in rotating on‑call duties to diagnose and solve customer issues.

Requirements

• Strong fundamentals in software engineering: data structures and algorithms

• Coding expertise in Python

• Experience with backend frameworks (e.g., FastAPI) and databases (SQL/NoSQL)

• Hands‑on experience with Azure or AWS or GCP

• Hands‑on experience with LLM and GenAI

• Spec Driven Development (SDD) experience is an advantage

• Debugging and troubleshooting skills including the use of associated tools

• Experience with developing CI/CD systems, test automation frameworks

• Ability to document your work for the benefit of the team