Lead/Staff Software Engineer - AI Platform

Responsibilities

• Lead architecture designs, technical workshops, and architecture reviews with customer engineering teams.
• Partner directly with customer architects and engineering teams throughout the customer lifecycle.
• Work closely with the Forward Deployed Engineering team to plan and track production deployments across AWS, Azure, Google Cloud, and on-premises environments.
• Shape the long-term technical direction of DynamoGuard and DynamoEval based on customer needs and market feedback.
• Identify architectural gaps, scalability challenges, and opportunities to simplify enterprise adoption.
• Lead implementation of complex platform capabilities across engineering teams.
• Lead investigations of critical customer production issues and coordinate cross-functional incident response.
• Improve systems and processes to prevent recurring production issues.
• Collaborate with Product Management, Customer Success, Forward Deployed Engineering, DevOps, Security, and ML teams.
• Drive prioritization of engineering investments based on customer impact.

Requirements

• 8+ years of professional software engineering experience, including 4+ years designing and operating large-scale, production-grade distributed systems.
• Deep hands-on expertise with Kubernetes and cloud-native architectures on AWS, Azure, or Google Cloud.
• Proven experience managing complex production deployments.
• Ability to lead technical strategy, drive cross-functional alignment, and make architectural trade-offs balancing short-term delivery with long-term scalability.
• Hands-on experience with Python, TypeScript, or Go in high-traffic environments.
• 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.