Software Engineer, macOS - AI Security & Governance

• 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.

• 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.

Compensation: The typical base salary for this role is between USD $141,000- $250,000 per year and it may be eligible for participation in a corporate bonus program. Actual compensation offer may vary from posted hiring range based upon geographic location, work experience, education, skill level, or other relevant factors. In addition to competitive compensation, Omnissa offers a variety of benefits such as employee ownership, health insurance, 401k with matching contributions, disability insurance, paid-time off, growth opportunities, and more.

We are Omnissa! Omnissa is the first AI-driven digital work platform, built to support flexible, secure, work-from anywhere experiences. We integrate industry-leading solutions-including Unified Endpoint Management, Virtual Apps and Desktops, Digital Employee Experience, and Security & Compliance-into a seamless, autonomous workspace that adapts to how people work. Our platform boosts employee engagement while optimizing IT operations, security, and cost. Guided by our Core Values-Act in Alignment, Build Trust, Foster Inclusiveness, Drive Efficiency, and Maximize Customer Value-we’re growing rapidly and committed to delivering meaningful impact. If you’re passionate about shaping the future of work, we’d love to hear from you.

At Omnissa, we are committed to maintaining a fair, consistent, and secure hiring process for all candidates. As part of this approach, we use standard interview and verification practices designed to ensure alignment and protect both candidates and the organization. These practices are applied thoughtfully and with respect for candidate privacy.

What is the opportunity?

Elara is a new Omnissa product line that helps enterprises discover, monitor, and govern how AI is used across their devices. We’re hiring a Senior Software Engineer to build the Elara macOS agent. It’s a lightweight, native, always-on component that shows organizations which AI applications are in use, where network traffic is going, and how sensitive data is handled.

Why Elara, and Why Now

Enterprises are adopting AI faster than they can see it, let alone govern it. Elara exists to close that gap, and you’d be one of the first engineers to shape it.

We’re building Elara the way software is going to be built: agentic from day one. We’re also defining what agent-driven engineering means in the context of an enterprise security product. Engineers on Elara work with AI coding agents every day, delegating implementation, test generation, and refactoring. That frees their own time for what agents can’t do, which is system design, security judgment, and careful review of low-level code where mistakes are expensive. We’re writing this playbook as we go, and you’ll help write it. If you want deep macOS systems work in a category that barely existed two years ago, with a small team and real ownership, this is that role.