Meet the Team
The Splunk Agent Resilience team is defining the future of AI resilience. Together our team provides scalable, cost-effective evaluation and guardrails that ensure AI agents behave as intended, improving reliability and reducing risks. This unified approach empowers our customers to expertly deploy and manage AI-powered applications with enhanced observability and control.
As a Forward Deployed Engineer (FDE), you'll work at the intersection of software engineering, customer engagement, and product innovation to help some of the world's largest enterprises successfully deploy AI into production. You'll partner closely with external customers to solve complex technical challenges while collaborating with internal Product and Engineering teams to improve the platform based on real-world customer needs.
If you enjoy solving hard engineering problems, working directly with customers, and building technology that scales beyond a single implementation, we'd love to hear from you.
Your Impact
As a Forward Deployed Engineer, you will:
- 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, architecture discussions, and troubleshoot complex production issues.
- Collaborate with Product and Engineering teams to share customer feedback and influence future product enhancements.
- Create documentation, reusable best practices, and technical assets that benefit future deployments.
Minimum Qualifications
- Bachelor's degree in Computer Science or a related technical field (or equivalent experience).
- 4+ years of strong software engineering experience building production-grade applications.
- Experience with APIs, distributed systems, cloud platforms, or backend development.
- Hands-on experience with AI tools such as Claude Code, Codex, cursor, etc.
- Strong troubleshooting and problem-solving skills across multiple layers of the technology stack.
- Excellent communication skills and the ability to work directly with enterprise customers.
- Comfortable working in fast-paced, ambiguous environments.
- Interest in AI, Machine Learning, or developer platforms.
Preferred Qualifications
- 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.
- Experience with programming language such as python, Java, 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.
Disclaimer
To ensure that we hire the best talent in the right way, we follow a strict hiring process and recently, Cisco has been made aware of fraudulent recruiters claiming to be from the company. Please be advised that any communication from Cisco about careers will:
- be in direct response to an application you have submitted through the company career site
- begin with screening or an interview
- originate from a Cisco email address, and
- be conducted across email, phone, or WebEx
Cisco will never make a job offer without conducting an interview process or ask you for money in any way. If you have been requested to apply for a role or have received an offer from a site other than https://careers.cisco.com or cisco.wd5.myworkday.com, do not provide any personal identifying information, including your Aadhaar or other personal identifying number, birth certificate, banking information, driver's license, or passport.
If you are the target of a recruiting scam, consider filing a report with your local law enforcement authorities. Cisco bears no responsibility, and cannot be held liable, for any claims, damages, expenses, or other inconvenience resulting from or in any way connected to recruiting scams.
Skills Required
- Bachelor's degree in Computer Science or a related technical field, or equivalent experience
- 4+ years of strong software engineering experience building production-grade applications
- Experience with APIs, distributed systems, cloud platforms, or backend development
- Hands-on experience with AI tools such as Claude Code, Codex, or Cursor
- Strong troubleshooting and problem-solving skills across multiple technology layers
- Excellent communication skills and ability to work directly with enterprise customers
- Comfort working in fast-paced, ambiguous environments
- Interest in AI, Machine Learning, or developer platforms
- 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
- Experience with programming languages such as Python or Java
Cisco Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cisco and has not been reviewed or approved by Cisco.
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Healthcare Strength — Health coverage is described as broad, with medical options including PPOs, high-deductible plans, and regional HMOs. Feedback suggests robust wellness and mental-health resources, with some locations offering on-site support and second medical opinions.
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Leave & Time Off Breadth — Time off is highlighted through paid holidays, paid time off, and additional recharge days such as “Days for Me,” with generous volunteer time also mentioned. Feedback suggests these programs help support rest, volunteering, and critical life events.
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Parental & Family Support — Parental and family support appears extensive, including paid child-bonding leave, family medical leave, and caregiving resources. Observations also point to family-planning assistance and adoption or surrogacy support in some regions.
Cisco Insights
What We Do
Cisco (NASDAQ: CSCO) enables people to make powerful connections--whether in business, education, philanthropy, or creativity. Cisco hardware, software, and service offerings are used to create the Internet solutions that make networks possible--providing easy access to information anywhere, at any time. Cisco was founded in 1984 by a small group of computer scientists from Stanford University. Since the company's inception, Cisco engineers have been leaders in the development of Internet Protocol (IP)-based networking technologies. Today, with more than 71,000 employees worldwide, this tradition of innovation continues with industry-leading products and solutions in the company's core development areas of routing and switching, as well as in advanced technologies such as home networking, IP telephony, optical networking, security, storage area networking, and wireless technology. In addition to its products, Cisco provides a broad range of service offerings, including technical support and advanced services. Cisco sells its products and services, both directly through its own sales force as well as through its channel partners, to large enterprises, commercial businesses, service providers, and consumers.
