Lead/Staff Software Engineer - AI Platform
On-siteSan Francisco, California, United States
Job Summary
Lead architecture designs and conduct technical workshops with customer engineering teams to ensure production-ready deployments of DynamoGuard and DynamoEval. Partner directly with enterprise architects and FDE to plan deployments across AWS, Azure, GCP, and on-premises environments while identifying scalability gaps and implementing complex platform capabilities. Lead investigations of critical production issues, coordinate cross-functional incident response, and drive prioritization of engineering investments based on customer impact. Shape long-term technical direction for DynamoGuard and DynamoEval by collaborating with Product Management, Security, and ML teams to improve system efficiency, robustness, and observability for Fortune 500 clients.
Required Qualifications
- 8+ years of professional software engineering experience
- 4+ years dedicated to designing and operating large-scale, production-grade distributed systems
- Deep, hands-on expertise with Kubernetes and cloud-native architectures (AWS, Azure, or GCP)
- Proven track record of managing complex deployments in production
- Demonstrated ability to lead technical strategy, drive cross-functional alignment, and make difficult architectural trade-offs that balance short-term delivery with long-term platform scalability
- Hands-on experience with Python, TypeScript, Go, etc. in high-traffic environments
- Proven track record of mentoring senior engineers and driving technical excellence across teams
- Extensive experience collaborating directly with enterprise customer architects to resolve integration blockers and mission-critical production issues
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