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# Software Engineer, macOS - AI Security & Governance

- **Company:** Omnissa, LLC
- **Location:** Atlanta, GA, United States
- **Experience:** Expert
- **Salary:** $141,000 - $250,000
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Macintosh Computers, Apple Mac Systems, Automation of Tests, Cloud Computing Security, Code Generation, Profiling, Cyber Security, Information Leak Prevention, Cursor, Software Debugging, File Systems, Domain Name System (DNS), Memory Management, Protocol Buffers, Hypertext Transfer Protocols (HTTP), Virtual Private Networks (VPN), Language Modeling, Systems Development Life Cycle, Zero Trust Network Access, Secure Coding, Software Engineering, TCP/IP, Data Logging, Transport Layer Security, Computer Network Technologies, GitHub Copilot, Claude Code, AI Coding Agents, Agentic-AI, Free and Open-Source Software, Grpc
- **Published:** November 14, 2026
- **Apply:** https://startup.jobs/senior-software-engineer-macos-ai-security-governance-elara-omnissa-llc-10774840

## About the Role

* 5+ years of software engineering experience, or equivalent depth, including significant hands-on work on native macOS applications or system-level components.
 * Strong Rust skills and working proficiency in Swift.
 * Deep understanding of macOS internals: processes, threads, memory management, IPC, file systems, and networking.
 * Hands-on experience with at least one of Endpoint Security, Network Extension, System Extensions, or XPC.
 * Solid networking knowledge: TCP/IP, DNS, TLS, HTTP/HTTPS, VPNs, and proxies.
 * Experience building secure, concurrent, long-running background services, with a strong grasp of memory safety and secure coding.
 * Hands-on experience using AI coding agents on real production work, with sound judgment about when to trust, verify, or reject their output.
 * Comfort with ambiguity and end-to-end ownership in a zero-to-one environment.

Preferred Qualifications

 * Experience building endpoint security, EDR, DLP, VPN, ZTNA, SASE, or device-management products.
 * Hands-on experience with NEFilterDataProvider, NEPacketTunnelProvider, NEDNSProxyProvider, or Endpoint Security authorization events.
 * Knowledge of macOS security architecture: sandboxing, entitlements, TCC, and system-extension lifecycle management.
 * Experience with Apple code signing, notarization, and MDM-based deployment.
 * Familiarity with the Rust ecosystem for native work: Swift/Objective-C FFI, Tokio, Serde, and cross-platform libraries.
 * Experience with gRPC, Protocol Buffers, and secure cloud-to-endpoint communication.
 * Experience with on-device model inference (e.g., small language models via Core ML) for classification or detection.
 * Familiarity with AI security risks such as shadow AI, data leakage through AI apps, and the security of agent tooling like MCP.
 * Experience shaping engineering practices: spec-driven development, test harnesses for AI-assisted workflows, or building agent tooling.
 * Open-source contributions or public technical work., Education: Bachelor's Degree preferred, or equivalent combination of education and relevant professional experience.

## Description

* Agents are part of the team. AI coding agents are built into how we design, build, test, and debug. Our approved tools include Claude Code, Cursor and GitHub Copilot.
 * Humans own the judgment. Engineers own architecture, security decisions, and final review, and are accountable for everything that ships.
 * Guardrails are first-class work. Excellent documentation, strong CI, and test automation are what let us move fast safely. We build on each other's work. Reusable agent skills, prompts are tooling means you start productive on day one and every improvement benefits the whole team.

What You'll Do

Architecture & Foundations

 * Make the foundational architecture decisions for the Elara macOS agent, and co-design the shared components across platforms.
 * Write specs, design docs, and interface contracts clear enough for both engineers and AI agents to execute against.
 * Build the guardrails that make agent-assisted development safe.

macOS Endpoint Security & Systems Development

 * Build native endpoint security capabilities on Apple's system frameworks.
 * Implement monitoring of process, file-system and application activity, with event-driven policy enforcement.
 * Build network visibility and filtering capabilities.
 * Help enterprises discover and govern AI usage on their Macs in real time.

 * Troubleshoot complex issues with Instruments, LLDB, unified logging, and native profiling tools.

Agentic Engineering

 * Use AI coding agents every day across design, implementation, testing, and debugging.
 * Critically review AI-generated code, especially low level and privileged code paths.
 * Help define and evolve the team's agentic development practices, from context and prompting patterns to review standards.