Technical Systems Engineer (Full-Stack) - Splunk

AI in this role

openaiclaudezapier-ain8ncursor

rag

Meet the Team

Join Splunk’s Global Field Enablement team, where we build production software and digital experiences that help teams work smarter and turn data into action. We are passionate about delivering reliable, scalable solutions and creating great experiences through modern engineering, AI-assisted development, workflow automation, and innovative technology.

Your Impact

As a Senior Full Stack Engineer, you will design, build, and ship production software across the full technology stack. You will combine modern web development, AI-assisted engineering, workflow automation, and cloud technologies to deliver scalable, reliable experiences. You will work closely with product teams and stakeholders to translate business requirements into impactful solutions and drive features from architecture through deployment and iteration.

Own end-to-end delivery of features, including architecture, implementation, testing, deployment, and continuous improvement.
Build scalable full stack applications across frontend, backend, and data layers, developing clean APIs and intuitive user experiences.
Design and maintain n8n workflows to automate internal operations, integrations, and data pipelines, including triggers, branching, error handling, retries, and secrets management.
Leverage Cursor, Claude, and other LLM-based tools to accelerate development while maintaining code quality, security, testing, and engineering standards.
Integrate third-party services, webhooks, and event-driven systems while improving developer velocity through reusable components, CI/CD, observability, and engineering best practices.

Minimum Qualifications

6+ years of experience building and delivering production full stack applications.
Strong proficiency in TypeScript/JavaScript and experience with a modern backend framework such as Node.js or Python/FastAPI.
Hands-on experience with React/Next.js or an equivalent modern frontend framework, along with backend fundamentals including REST/GraphQL, authentication, caching, background jobs, and database design.
Practical experience building and operating n8n automations, including triggers, branching, error handling, retries, and secrets management.
Experience with AI-assisted engineering workflows and cloud/DevOps practices, including tools such as Cursor or Claude, Docker, CI/CD, environment management, and logging/monitoring.

Preferred Qualifications

Experience integrating LLM APIs such as Claude or OpenAI into products, including RAG, tool use, evaluations, or guardrails.
Familiarity with MCP, agent orchestration, internal AI tooling, vector databases, embeddings, or AI product observability.
Experience with workflow platforms such as Zapier, Make, Temporal, or Airflow.
Experience working with machine data, observability, or data-intensive platforms.
Strong security-focused development practices, including authorization, secrets management, input validation, and secure API design.

Tech Stack Experience

Frontend: React, Next.js, TypeScript, Tailwind
Backend: Node.js / Python, PostgreSQL, Redis
Automation: n8n, webhooks, event-driven integrations
AI Development: Cursor, Claude, LLM-assisted coding and review
Infrastructure: Docker, CI/CD, cloud hosting (AWS/GCP/Vercel/etc.)

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.

How we score this

Technical Systems Engineer (Full-Stack) - Splunk at Cisco scores 50 out of 100 on AI centrality, which makes it AI Level 2 of 4 (Uses AI) on this board. The level measures how much of the work is AI, not seniority.

Classification

AI Level 2. An ordinary role whose duties require using AI tools, such as coding, writing or sourcing with an assistant.

AI Level 480 to 100
AI Level 360 to 79
AI Level 240 to 59
AI Level 10 to 39

Bands 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

RagOpenAIClaudeZapier AIN8nCursor

Questions you could be asked

How would you design a retrieval step so the model answers from real data instead of guessing?
Walk me through how you've used OpenAI in your day-to-day work.
What are the limits of Claude that you've run into, and how did you work around them?
What's a project where you used Zapier AI hands-on?
Walk me through how you've used N8n in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Rag, OpenAI, Claude, Zapier AI, and N8n. 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.
Put the AI tool in a bullet point about what you did, not just in a skills list — this role treats it as a required part of the job.

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