Software Engineering MTS

Architect and implement distributed systems for network-level security controls — policy management, ACL enforcement, distributed firewalls, and DDoS/network protection

Develop microservices to support our network security platforms at cloud infrastructure and distributed platform levels

Research and implement networking security solutions for intra and cross-region network flows

Operate security platforms in a full DevOps model — you build it, you run it

Elevate engineering excellence through code reviews and mentorship

Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code.

Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale.

Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably.

Critically evaluate code (human or AI-generated) for correctness, quality, security, and performance.

You're Our Person If You Have:

2 years in SaaS, PaaS, or IaaS software development

2 years in a high-availability 24/7 environment (cloud platforms a plus)

A demonstrated, genuine AI-first approach to engineering — using AI to move faster, build fluency across the stack, and contribute well beyond your core specialty.

Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in development workflows.

Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.

Proficiency in Go, Java, C++, or Python