# Lead/Staff Software Engineer - AI Platform

**Company:** [Dynamo AI](https://hotfix.jobs/companies/dynamo-ai)
**Location:** San Francisco, CA
**Role:** Solutions Architecture
**Experience:** 8+ years
**Skills:** Kubernetes, AWS, Azure, GCP, Python, TypeScript, Go, Distributed Systems, Cloud-Native Architecture, Production Deployments, Technical Architecture, Incident Response
**Posted:** 2026-08-03

> Leads enterprise solution architecture and hands-on platform engineering for production AI deployments. The role requires 8+ years of software engineering experience, distributed-systems expertise, Kubernetes and cloud proficiency, and strong customer-facing technical leadership.

## Job Description

## 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.

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