Senior Software Engineer - Show

The Forward Deployed Software Engineering (FDSE) team develops and operates SHOW Platform, Splunk's cloud-native solution for interactive demonstrations, technical workshops, proof-of-concepts, and hands-on lab experiences. It is used by customers, partners, and internal engineering teams worldwide to enable thousands of technical engagements every year.

• Bachelor's or master's degree in computer science, Software Engineering, or a related technical field, or equivalent practical experience.
• Over 6 years of professional experience designing, developing, and operating production-grade software systems.
• Strong experience building cloud-native applications and distributed systems on public cloud platforms, preferably AWS.
• Experience designing scalable APIs, asynchronous workflows, and modern software delivery pipelines using CI/CD and Infrastructure as Code.
• Experience using AI-assisted software development tools and modern AI APIs as part of the engineering workflow.

Preferred Qualifications:

• Experience building modern web applications and backend services using technologies such as JavaScript/TypeScript, React, Next.js, Node.js, or comparable frameworks.
• Experience with serverless architectures, event-driven systems, and cloud services such as AWS Lambda, DynamoDB, SQS, SNS, OpenSearch, or similar technologies.
• Experience designing secure and highly available distributed systems with strong observability and operational excellence.
• Experience building AI-enabled applications using LLMs, RAG, vector databases, AI agents, or Model Context Protocol (MCP).
• Experience in customer-facing engineering organizations, Forward Deployed Engineering, or technical consulting environments with mentoring skills and collaborating across globally distributed teams.

• Design, build, and evolve highly scalable cloud-native services powering the SHOW Platform.
• Lead technical initiatives from architecture through production, balancing scalability, maintainability, reliability, and delivery speed.
• Develop resilient distributed systems using modern cloud-native patterns, event-driven architectures, and Infrastructure as Code.
• Continuously improve platform observability, automation, and operational excellence.
• Collaborate closely with Product Engineering, Solution Engineering, Customer Experience, and cross-functional Cisco teams.
• Provide technical leadership through architecture discussions, code reviews, mentoring, and enforcing engineering best practices.
• Leverage AI-assisted engineering tools such as GitHub Copilot, Claude Code, and Codex to improve productivity while maintaining software quality, security, and production readiness.
• Contribute to AI-powered platform capabilities using modern LLM technologies and application patterns where appropriate.