Senior Forward-Deployed Engineer - Scale & AI-Driven Systems

Nutanix

Santa Clara (CA)

On-site

USD 140,000 - 220,000

Full time

14 days+

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Benefits offered by this job

Family benefits

Equity awards

Bonuses/Commissions

Job summary

Nutanix in Santa Clara, CA, is seeking a senior software engineer to own design and implementation of cross-cutting features across services. You will drive reliability, performance, and maintainability while mentoring engineers and influencing architecture.

You will collaborate with Product Management, Platform Engineering, Applied AI, and Customer Success to deliver outcomes for enterprise customers, troubleshoot complex production issues, and establish observability and testing best practices

Qualifications

7+ years of professional software engineering experience, including ownership of production systems at scale.
Strong backend engineering experience with distributed systems.
Proven experience handling enterprise customer escalations and complex production issues.
Deep understanding of system design, APIs, data pipelines, and service-oriented or microservices architectures.
Ability to operate effectively in ambiguous environments with competing customer and platform priorities.
Demonstrated experience mentoring engineers and influencing technical direction across teams.
Hands‑on experience building frontend applications with React, Angular, and related UI frameworks.
Strong communication skills.
Experience in Customer Engineering and/or Solutions Engineering, within a SaaS company.
Familiarity with enterprise integrations, data ingestion pipelines, and customer‑specific configurations.
Experience working with cloud infrastructure (AWS, GCP, or Azure) and production monitoring tools.
Exposure to AI/ML‑enabled platforms or data‑intensive products.

Responsibilities

Own end-to-end design and implementation of complex, cross-cutting features spanning multiple services or product areas.
Drive architectural decisions focused on reliability, performance, extensibility, and maintainability.
Partner closely with Product Management, Platform Engineering, and Applied AI teams to deliver solutions aligned with customer outcomes.
Troubleshoot and resolve complex production issues involving distributed systems, large-scale data, and integrations.
Work directly with Customer Success, Solutions Engineering, and Support teams to deliver timely, high-quality resolutions.
Establish best practices for observability, debugging, testing, and incident response in customer-facing systems.