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MOXFIVE

Staff Engineer (Founding Team)

Posted 13 Days Ago
Remote
Hiring Remotely in USA
200K-250K Annually
Senior level
Remote
Hiring Remotely in USA
200K-250K Annually
Senior level
As a Staff Engineer at MOXFIVE, you will design technical strategies, lead architectural decisions, mentor the team, and integrate AI into incident response workflows.
The summary above was generated by AI

Who We Are

MOXFIVE is building technologies that leverage AI to streamline the response, recovery, and resilience from cyber-attacks in enterprises. We are looking for a Staff Engineer to join as a core leader of our founding engineering team. In this role, you will not just contribute to the codebase; you will define our technical strategy, establish engineering standards, and own the architectural decisions that will scale our platform for years to come.

The MOXFIVE founding team brings over 30 years of combined cybersecurity experience from leading companies such as CrowdStrike, Mandiant, Palo Alto Networks, Crypsis, Illumio, and Expel. Today, we are focused on seizing an opportunity with the potential to disrupt the breach response market.

Who You Are

You are a technical leader who looks beyond the code to the broader system design. You excel at navigating ambiguity and making high-stakes technical decisions that balance speed of delivery with long-term maintainability. You are a "force multiplier"—your presence elevates the quality of the entire team’s output through mentorship, code reviews, and the establishment of robust design patterns.

You don’t just solve problems; you identify the right problems to solve. You understand the trade-offs inherent in distributed systems (consistency vs. availability, synchronous vs. asynchronous) and can articulate the "why" behind your architectural choices to both engineering and executive stakeholders.

The Impact You’ll Have

At MOXFIVE, you will own the technical roadmap for the first AI-powered incident response platform. Your decisions will directly impact how we handle sensitive data, how we scale our AI integrations, and how our system recovers from failure.

Your core responsibilities will include:

  • Architectural Strategy: Defining the boundaries between services and designing event-driven architectures that are resilient by default.

  • AI System Design: Leading the integration of LLMs into production workflows, making critical decisions regarding context window management, RAG (Retrieval-Augmented Generation) optimization, and cost/latency trade-offs.

  • Engineering Culture: Establishing best practices for API governance, testing frameworks, and observability standards. You will set the bar for technical excellence.

  • Cross-Functional Leadership: Partnering with product management to translate complex business requirements into scalable technical specifications.

What You’ll Bring

  • Experience: 8+ years of software engineering experience, with significant time spent in a Staff, Principal, or Lead role designing distributed systems at scale.

  • Language Expertise: Mastery of Go and Python. You don't just know the syntax; you understand the runtime, concurrency models (goroutines vs. async/await), and memory management nuances of each.

  • Data Modeling Strategy: diverse experience architecting data layers. You know when to use a document store (MongoDB) for flexibility, when to rely on ACID compliance in PostgreSQL/MySQL, and how to leverage Redis for caching and state management.

  • API Governance: Expertise in defining API contracts and standards. You have deep experience designing production-grade gRPC services for internal communication and REST APIs for external consumption.

  • Orchestration & Reliability: You understand that distributed transactions are hard. You have experience with (or a strong desire to master) Temporal for managing long-running workflows and ensuring durability in the face of failure.

  • Service Mesh & Networking: Hands-on experience with Kubernetes networking, specifically managing traffic, security, and observability using Envoy Gateway and Linkerd.

  • Nice to have - AI/LLM Engineering: Proven track record of taking AI features from prototype to production. You have experience with OpenAI, Gemini, or AWS Bedrock and have solved problems related to prompt engineering, vector database selection, and managing LLM hallucinations in enterprise contexts.

  • Nice to have - Cloud Architecture: Deep familiarity with AWS ecosystems. You view infrastructure as code (Terraform) and have experience designing secure, multi-tenant architectures on EKS.

Disclaimer

All official MOXFIVE communications will only come from an @moxfive.com email address.

Top Skills

AWS
Envoy Gateway
Go
Grpc
Kubernetes
Linkerd
MongoDB
MySQL
Postgres
Python
Redis
Rest
Temporal
Terraform

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