דרושים » תוכנה » senior macos Developer - workforce ai security

we are on a mission to secure the ai transformation that every company is going through, building a platform that protects organizations as they adopt ai tools at scale. this is your chance to join one of the fastest-growing areas in the company and develop technology that will define how cybersecurity operates in the ai era. you will be part of a multidisciplinary team of backend engineers, endpoint developers, ai researchers, and product experts from israel and global acquisitions, all working together to deliver cutting-edge, end-to-end security solutions to the worlds largest enterprises.
as a software Developer on our team, you will work across both backend services and endpoint components, designing scalable systems that connect endpoint-level data collection with cloud-based analysis and enforcement. youll play a key role in building the agents and services that monitor and control interactions with ai tools, shaping a new category of security products that operate seamlessly across platforms and environments.
develop and maintain backend services alongside endpoint components for a cross-platform security platform
design scalable systems that integrate endpoint-collected data with cloud-based processing and enforcement
build and enhance endpoint agents responsible for monitoring and controlling interactions with ai tools (e.g., coding assistants, web-based ai services)
implement data pipelines, policy enforcement logic, and secure data handling mechanisms across endpoint and backend layers
collaborate with ai and product teams to deliver end-to-end solutions
troubleshoot and resolve complex issues across distributed system and endpoint components

As a C++ Developer - macOS Platform Engineer for Cortex XDR, you will design and implement our next-generation endpoint protection solutions for macOS. You will play a critical role in building a robust security architecture that actively detects and protects against malicious activity. By taking full ownership of features from initial design to production release, you will directly contribute to revolutionizing endpoint security. Join our dynamic team to leverage modern technologies and shape the future of macOS platform protection.
Key Responsibilities
Take full ownership of macOS endpoint protection features throughout their lifecycle, from initial design to production release.
Collaborate closely with cross-functional engineering teams and internal OS technical specialists to ensure seamless integration.
Research and adapt emerging technologies to enhance the capabilities of the Cortex XDR product suite.
Write comprehensive design documents, software development guidelines, and best practices to maintain high engineering standards.
Leverage leading AI tools to maximize development efficiency while maintaining a critical and discerning mindset.

run:ai, is looking for a senior software engineer to build the tools that help engineers develop, validate, and contribute software with confidence. as we expand our open-source ecosystem and adopt agentic development, you'll shape how contributions are tested and integrated, improve feedback for developers, and help protect our codebase and internal assets. you'll work across Developer tooling, compatibility validation, scale testing, and ai-assisted contribution workflows, building infrastructure that supports both our engineering teams and the wider open-source community.
what you'll be doing:
build Developer tools and ci workflows that simplify development, testing, and contribution for internal engineers and open-source contributors.
develop compatibility validation infrastructure that verifies run:ai across supported software versions and environments.
build scale-testing and performance-regression infrastructure that produces repeatable results and actionable diagnostics.
develop workflows for agentic prs, including automated evaluation, testing, and controls that support effective human review.
partner with engineering, DevOps, and security teams to enable external contributions while protecting credentials, internal systems, and code integrity.
own projects from technical design through rollout, measuring their impact on Developer productivity and software reliability.

ai factories are only as good as the software that runs them. our dsx os turns gpu infrastructure into a shared, multi-tenant platform for ai teams, providing scheduling, orchestration, serving, and observability for ai workloads at data -center scale-from training and inference to reinforcement learning and agentic ai. the dsx os platform software group builds that layer through projects such as kai-scheduler, snapshot, grove, and run:ai. our work ships as open source and upstream contributions across the cloud-native and ai serving ecosystems. we focus on performance, reliability at scale, and giving users the insight they need to understand and improve how their workloads run.
we are looking for highly skilled software engineers to help shape the future of ai infrastructure. as a senior software engineer in the team, you will design and build scalable, high-performance systems, tackle complex distributed-systems problems, and collaborate with experts across the company and the broader community to support the next generation of ai workloads.
what you'll be doing:
designing and developing open source platform components with a strong focus on performance, reliability, and scalability.
building and optimizing kubernetes-native systems: controllers, operators, schedulers, and apis that orchestrate gpu workloads at scale.
contributing upstream - designing in public, writing proposals, reviewing community code, and engaging with users and maintainers of the projects we work on.
collaborating closely with architects, product managers, and partner teams across the company to deliver impactful solutions.
writing clean, maintainable, and testable code in go.
conducting code and design reviews to uphold high-quality standards, and mentoring team members.

Join our Security Autonomous SOC Team as a Principal AI Engineer to transform innovative AI/LLM research into impactful cybersecurity product features. You will leverage and augment our existing infrastructure, including BI systems and CI/CD pipelines, to design, develop, and deploy advanced LLM and Agentic capabilities. Your expertise in software development, AI engineering, and modern LLM technologies will directly drive the evolution of our security operations. By building robust, production-ready AI solutions, you will make a tangible difference in protecting our digital world against complex threats.
Key Responsibilities
Design and build Agentic security solutions to improve detection, response, and remediation capabilities.
Architect, implement, and optimize end-to-end LLM pipelines ensuring scalability from data ingestion to deployment.
Develop and deploy AI agents leveraging LLMs to automate complex security decision-making tasks.
Integrate LLM APIs and fine-tune models for specific cybersecurity use cases.
Transform promising AI and LLM research concepts into mature, robust, and scalable production-ready features.
Augment established BI data systems and CI/CD pipelines to support advanced AI development and experimentation.
Develop specialized tools and frameworks extending infrastructure to support AI-driven security research and remediation.
Collaborate with cross-functional teams to integrate AI innovations into customer-facing XDR, EDR, and SOAR platforms.

We're looking for a bright and passionate Senior Software Engineer to join our Endpoint Data Protection team. In this critical role, you will design, develop and maintain core components of our endpoint clients running on Windows and Mac, used by hundreds of thousands of users worldwide, across households and enterprise environments. You will help take our clients to the next level - building new low-level capabilities at the heart of how people move, share and protect their files, devices and network traffic. The scope is broad and the room to grow is real: ownership and technical leadership scale with you.
Responsibilities:
Developing core low-level components for our clients on Windows and Mac
Researching new technologies, including ways to use AI to accelerate engineering and product capabilities
Taking ownership on new features and leading collaborative efforts end to end
Supporting the entire application lifecycle, including release management and supporting production
Collaborating with quality assurance, technical support, product management and other engineering teams to deliver integrated features

We're building a new orchestration platform for AI datacenters-software that turns a complex, multi-vendor stack of compute, networking, and accelerators into something customers can deploy, operate, and optimize with confidence.
You'll join a small, growing engineering team where every engineer ships. In this hands-on development role, you'll build backend services, contribute to system design, and own features from implementation through production, working closely with experienced engineers.
If you enjoy solving challenging engineering problems, building new products, and seeing your work run at scale in real AI datacenters, this role is for you.
What You'll Do
- Build and maintain core services and features for an orchestration platform spanning compute, networking, and accelerators.
- Translate customer requirements into APIs, workflows, and data models in collaboration with the team.
- Deliver features end-to-end, from prototyping and implementation to testing, deployment, and production support.
- Write reliable, maintainable code and contribute to shared libraries, automated tests, and CI/CD pipelines.
- Contribute to design discussions and make practical implementation tradeoffs around performance, reliability, and simplicity.
- Participate in code reviews, share knowledge, and help improve engineering practices.
- Troubleshoot issues and improve service performance, observability, and operational readiness.

We are seeking a Software Engineer to join our core development team. You will design, build, and ship the platform that powers discovery, session-aware detection, policy governance, and runtime enforcement across workstations, SaaS, and cloud. You will work on scalable, low-latency services that process agent activity in real time and enforce security policies without slowing builders down. This role requires strong engineering fundamentals, a focus on system reliability, and an interest in the unique challenges of agentic security.

Responsibilities
Design and Implement Services: Design, develop, and deploy scalable backend services and APIs for the Security platform (customer and admin APIs, detection ingestion, aggregation, and control-plane services).

Build Core Features: Implement features for agent/MCP/skill discovery, session and intent-aware detection, policies, and runtime enforcement across coding agents and enterprise AI platforms.

Optimize Runtime Protection: Maintain and optimize high-throughput detection and enforcement pipelines that operate at enterprise scale (ingestion, detectors, verdicts, and policy dispatch).

Integrate with Platforms: Build and deepen integrations with coding agents, SaaS AI platforms, identity providers, EDR, SIEM, and outbound action systems to ingest telemetry and enforce controls.

Ensure Reliability: Focus on code quality, performance, monitoring, and stability through robust testing, CI/CD, and operational excellence.

Collaborate with Research: Partner with the AI Security Research team to turn findings, signatures, and heuristics into production-ready detectors and enforcement logic.

Contribute to Architecture: Participate in technical design and architectural reviews across our codebases, agents, and event-driven backend services.

Stay Current: Continuously learn and apply new technologies, development methodologies, and security best practices.

as a network software engineer, you will extend the company product suite to support network and security devices it does not support out of the box, such as firewalls, micro-segmentation platforms, sd-wan solutions and cloud environments. using the company's open model (opm) platform, you will build device clients that report device data to the company product and automate changes on the devices (provisioning), so customers can manage them just like natively supported devices.

Required Senior Software Engineer, Cloud Datastream and Database Migration Service
About the job
Our software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
The Control & Connect (C&C) team builds the core infrastructure powering our DMS and Datastream. We own the mission-critical Control Plane and Data Movement Infrastructure that allows enterprise customers to seamlessly migrate and replicate their databases at massive scale.
As a Senior Software Engineer, you will design and build the core infrastructure that enables enterprise customers to replicate and migrate their databases. You will address distributed systems issues involving stateful microservices, intricate multi-region architectures, and high-throughput data pipelines. Operating in a collaborative environment, you will guide the technical design of new features, improve system reliability, and mentor fellow engineers. Our team is also pioneering AI-assisted engineering operations, giving you the opportunity to shape how we use generative AI to accelerate development, improve testing, and reduce operational toil.
Responsibilities
Design and implement resilient, multi-step long-running operations and manage orchestration workflows on our cluster management systems.
Drive architectural improvements to decouple systems, manage service overload, and integrate seamlessly with various Cloud services like AlloyDB, Cloud SQL, and BigQuery.
Take end-to-end ownership of ambiguous technical challenges, translating complex requirements into concrete architectures and maintaining high engineering standards through design and code reviews.
Identify and eliminate operational toil, including contributing to the team's custom AI agents to automate release pipelines and streamline on-call workflows.