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About the Role

We are seeking a Lead / Staff Software Engineer to solve complex customer problems and shape product future. This is a highly cross-functional technical leadership role partnering with enterprise customer architects, security teams, and engineering leaders to design production deployments, influence product roadmaps, and lead investigations into challenging production issues. You will serve as the technical bridge between Product, Engineering, and our largest customers, ensuring DynamoGuard and DynamoEval become production-ready platforms for demanding AI deployments.

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.
Plan and track production deployments for customers across AWS, Azure, GCP, 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 the implementation of complex platform capabilities to address identified issues across engineering teams.
Lead investigations of critical customer production issues.
Coordinate cross-functional incident response and systematically improve systems to prevent future issues.
Drive prioritization of engineering investments based on customer impact.

Requirements

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 and drive cross-functional alignment.
Ability to make difficult architectural trade-offs balancing 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.

Skills

Product architecture
Distributed systems engineering
Enterprise solution design
Customer technical leadership
Hands-on debugging
Implementation
Kubernetes
Cloud-native architectures
AWS
Azure
GCP
Python
TypeScript
Go

Experience Level

Lead / Staff Software Engineer
8+ years of professional software engineering experience
4+ years dedicated to designing and operating large-scale, production-grade distributed systems

About the Company

Help Enterprises Deploy AI Responsibly: Work directly with fortune 500 companies designing solutions to protect their AI systems, deploying AI into critical real-world operations, helping ensure customer systems are reliable, secure, observable, scalable, and production-ready.
Enable the Dynamo AI’s Growth at Scale: Lead strategic improvements for customer deployment and operationalization. Drive Dynamo AI to enable scalable customer onboarding by improving the efficiency, generalization, scalability, and security of our solutions.
Operate at the Intersection of AI and Enterprise Systems: Gain exposure to a wide range of enterprise architectures, governance models, and operational workflows across regulated industries. Your work will directly influence how organizations safely deploy AI systems at scale, while shaping Dynamo AI’s deployment methodologies and product evolution.