Software Engineer
AI in this role
Software engineer building AI-based agentic solutions and LLM-powered data ingestion and normalization pipelines.
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
- Very good communication skills
- Openness for learning new topics and people
What we offer
- A team of incredibly capable and dedicated peers, all the way from engineering to product management and customer support.
- A stable, collaborative, and supportive work environment. We work in an open environment, work together to get things done, and adapt to the changing needs for the team. We keep it real by being open and honest.
- Balance. We want you to be successful outside of work too. We trust our colleagues to be responsible with their time and commitment, and believe that balance helps cultivate a positive environment.
- Fun. We are committed to having every employee want to give it their all, be respectful and a part of the family, and have a smile on their face while doing it.
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.
How we rate this
Software Engineer at Cisco rates 80 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- Tell me about a project where llm was part of your work. What did you do?
- Tell me about a project where generative ai was part of your work. What did you do?
- Tell me about a project where agentic architecture was part of your work. What did you do?
- Tell me about a project where backend was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: RAG, LLM, Generative AI, Agentic Architecture, and Backend. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.
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