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High due to Tier-1 Cisco brand, generic mid-level Software Engineer title, metro location, and customer-facing role.
Medium because MLOps/devops skills are transferable, but enterprise customer-facing consulting experience is preferential.
Medium because the JD has explicit 4–8 years plus required cloud, Kubernetes, and production deployment experience.
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Partner with enterprise customers to understand technical requirements and design scalable AI solution architectures for production deployments.
Build integrations, prototypes, and reusable tools to accelerate customer success and lead technical workshops and troubleshooting of complex production issues.
Collaborate with Product and Engineering teams to influence future product enhancements based on real-world customer feedback and create reusable best practices for future deployments.
Bachelor's degree in Computer Science or related technical field (or equivalent experience).
4–8 years of software engineering experience building scalable, production-grade applications.
Experience with APIs, distributed systems, cloud platforms, or backend development.
Strong troubleshooting and problem-solving skills; excellent communication for direct enterprise customer interaction.
Experienced in deploying or supporting Generative AI, Large Language Models, or Machine Learning applications in production environments.
Skilled at customer-facing technical solution building and able to guide enterprise customers through complex technical challenges.
Familiar with cloud infrastructure, Kubernetes, observability tools, or MLOps with background in consulting or technical customer success roles in enterprise settings.