Software Engineer
About The Position
The Splunk Agent Resilience team develops scalable, cost-effective evaluation and guardrails to help ensure AI agents behave as intended, improving reliability and reducing risk. Its unified approach helps customers deploy and manage AI-powered applications with greater observability and control. As a Forward Deployed Engineer, you will work across software engineering, customer engagement, and product innovation to help enterprise customers deploy AI into production. You will work directly with customers on complex technical challenges and collaborate with internal Product and Engineering teams to improve the platform using real-world customer feedback.
Requirements
- Bachelor’s degree in Computer Science or a related technical field and at least 6 years of relevant experience, or equivalent practical experience.
- Software engineering experience building production-grade applications using Python and/or Java.
- Experience with APIs, distributed systems, cloud platforms, or backend development.
- Experience with AI tools such as Claude Code, Codex, or Cursor.
- Troubleshooting and problem-solving skills across multiple layers of the technology stack.
Nice To Haves
- Experience deploying or supporting Generative AI, LLM, or Machine Learning applications in production.
- Experience with Kubernetes, cloud infrastructure, observability, or MLOps.
- Experience building customer-facing technical solutions or integrations.
- Experience creating reusable developer tools, frameworks, or open-source contributions.
- Consulting, Solutions Engineering, or Technical Customer Success experience in enterprise environments.
- Excellent communication skills and ability to work directly with enterprise customers.
- Comfort working in fast-paced, ambiguous environments.
- Eligibility to obtain and maintain a U.S. government security clearance, if required.
- Experience with AI, Machine Learning, or developer platforms.
Responsibilities
- Partner with enterprise customers to understand technical requirements and business goals.
- Design scalable AI solution architectures and guide customers through production deployments.
- Build integrations, prototypes, and reusable tools that accelerate customer success.
- Lead technical workshops and architecture discussions, and troubleshoot complex production issues.
- Share customer feedback with Product and Engineering teams and influence future product enhancements.
- Create documentation, reusable best practices, and technical assets for future deployments.
Benefits
- Medical, dental, and vision insurance
- 401(k) plan with Cisco matching contribution
- Paid parental leave
- Short- and long-term disability coverage
- Basic life insurance
- Cisco restricted stock unit grants may be available, subject to eligibility and continued employment.
- Paid holidays and a floating holiday for non-exempt employees
- Birthday day off, year-end holiday shutdown, and paid personal wellness days
- Paid vacation or flexible vacation time off, depending on employee classification
- Sick time off
- Additional paid time away may be requested for critical or emergency family issues
- Optional paid volunteer days
- Annual bonuses for eligible non-sales employees, subject to Cisco policies
- Sales incentive compensation for employees on sales plans, subject to the applicable Cisco plan
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What This Job Offers
Job Type
Full-time
Career Level
Senior
