Job Title: Founding Engineer

Company Name: CyberMetis

Job Url: https://www.linkedin.com/jobs/view/4372033546/?eBP=NOT_ELIGIBLE_FOR_CHARGING&trk=flagship3_search_srp_jobs&refId=VoKKBeG8NIghCCpTgJtzzA%3D%3D&trackingId=IB8kPtHFjdBUFhUfwcnvkA%3D%3D

Job Description: 
CyberMetis


Founding Engineer

United States · 2 days ago · 23 applicants

Company review time is typically 1 week


Remote
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About the job
Founding Engineer



Role Overview

We are hiring a Founding Engineer to help architect and build our core platform from the ground up. This is a high-impact role for a senior engineer who thrives in ambiguity, moves quickly, and wants to shape the technical foundation of a venture-backed AI cybersecurity company.

You will work directly with the CTO and founders to design, build, and scale a cloud-native, multi-tenant SaaS platform leveraging .NET / .NET Core, React, and modern cloud PaaS/SaaS services, with increasing integration of AI-driven capabilities.



This is not a narrow feature-development role. You will influence architecture, DevOps, security posture, hiring, and engineering culture.



What You’ll Own

1. Platform Architecture

Design and implement the initial system architecture.
Define multi-tenant SaaS patterns (data isolation, RBAC, observability).
Establish backend service structure using .NET / .NET Core (C#).
Define frontend architecture using React and TypeScript.
Make early cloud decisions (Azure preferred; AWS/GCP considered).
2. Hands-On Full-Stack Development

Build production-grade APIs, services, and UI components.
Develop event-driven and asynchronous processing pipelines.
Integrate authentication, authorization, and secure data handling.
Ship rapidly while maintaining high engineering standards.
3. Cloud & DevOps Infrastructure

Stand up infrastructure using PaaS-first principles.
Implement CI/CD pipelines and infrastructure-as-code.
Design for scalability, observability, and cost control from day one.
Establish logging, monitoring, and alerting standards.
4. AI-Ready Platform Design

Build APIs and data pipelines that support ML/AI inference.
Integrate AI services (LLMs, anomaly detection, risk scoring).
Ensure explainability, auditability, and secure AI integration.
Prepare architecture for model lifecycle and scaling needs.
5. Security & Compliance by Design

Embed secure coding and secure architecture practices.
Implement encryption, secrets management, and least-privilege access.
Design with SOC 2 / ISO readiness in mind.
Participate in threat modeling and architectural risk assessments.
6. Engineering Culture & Hiring

Help define coding standards, review practices, and documentation norms.
Mentor early hires and shape the technical bar.
Contribute to engineering hiring and interview processes.


Required Qualifications

8+ years of professional software engineering experience.
Strong expertise in .NET / .NET Core (C#).
Solid experience building applications with React and TypeScript.
Proven experience designing and operating SaaS platforms.
Hands-on experience with at least one cloud provider:
Azure preferred
AWS or GCP acceptable
Strong understanding of:
Distributed systems fundamentals
API design and microservices
Authentication and authorization models
Relational and NoSQL databases
Comfortable operating in early-stage, ambiguous environments.


Nice to Have

Experience in cybersecurity, compliance, or regulated industries.
Exposure to AI/ML infrastructure or LLM integration.
Experience with Kubernetes, containers, or serverless platforms.
Background in event streaming (Kafka, Pub/Sub, Event Grid).
Prior startup or founding engineer experience.
Experience supporting enterprise customers.