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Job Description
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.
Key Requirements & Skills
- 6+ years of experience building and delivering production full stack applications
- Strong proficiency in TypeScript/JavaScript
- 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
- Practical experience building and operating n8n automations
- Experience with AI-assisted engineering workflows and cloud/DevOps practices
- Experience integrating LLM APIs such as Claude or OpenAI into products
- Familiarity with MCP, agent orchestration, internal AI tooling, vector databases, or embeddings
- 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
Frequently Asked Questions
How to apply for Technical Systems Engineer (Full-Stack) - Splunk at Cisco?
Click the "Apply via CareerScan" button on this page.
What is the salary for this role?
Salary details will be discussed during the interview.
What experience is required?
6+ years of experience is required.
Is this position still open?
Yes, currently active and accepting applications.
Technical Systems Engineer (Full-Stack) - Splunk
Cisco · Pune
