לוח משרות דרושים הייטק תוכנה בדרום, לחיפוש זה נמצאו 106 משרות

We are looking for a Staff QA Architect to join our elite team, contributing to the development of one of our strategic products for Cloud Security.
In your role, you will be responsible for developing and maintaining high-quality work procedures, leading the team to achieve better quality.
You will be involved in the full feature lifecycle - from gathering requirements with the product team to release - ensuring quality at every stage, including bug management and observability and defining QA work procedures, guidelines, and designing the entire testing process.
The ideal candidate will be responsible for leading quality activities across solution-level features, ensuring the highest standards of quality are met. This role requires a proactive individual with excellent leadership and communication skills, capable of driving quality initiatives and fostering a quality-focused mindset within the organization.
Comprehensive understanding of the product's functionality, target use cases, and the value it delivers to customers.
Lead the quality efforts across multiple interfaces with a proactive and assertive approach, serving as the key point of contact for all quality-related matters.
Define, implement, and manage QA processes, promoting a quality-driven culture and managing the quality backlog.
Define the overall testing strategy and tooling stack across integration, regression, and load/performance testing.
Drive an automation-first approach - collaborating with developers to ensure code is testable and observable.
Lead root-cause analysis for escaped bugs and define improvement actions.
Own CI quality metrics and dashboards (e.g., build stability, test flakiness, regression coverage).
Influence decisions regarding test environments, mocks, test data, and production parity.
Collaborate with the centralized quality group to ensure E2E test coverage.
Quality Point of Contact: Serve as the primary point of contact for quality-related matters concerning the unit or the cross-group feature.

As part of your role, you will design, implement, and deploy products and infrastructures that will directly increase our stability and quality while reducing our time to market. You will have end-to-end ownership from individual development environments and SCM/Build/CI servers to our production system on AWS.
Your Impact:
Design and manage Continuous Integration/Deployment Services, including build, packaging, and deployment.
Design, document, implement, and maintain scripts to enhance current and future build and release processes.
Incorporate new development projects into existing build structures.
Continually evaluate tools and technologies to improve the overall release process.

Were building foundational infrastructure to secure AI agents-including their identities, access patterns, and interactions with sensitive systems and data.
This includes designing intelligent, dynamic mechanisms for ephemeral access control, secrets management, and agent and user identity tailored to the modern agent ecosystem.
As a Staff Engineer, youll take ownership of these critical systems, designing and implementing how agents establish identity, receive dynamic access, securely interact with sensitive systems, and leave verifiable audit trails. Youll shape the long-term architecture, anticipate technical risks, and evolve systems that span both machine- and human-facing workflows.
This is a rare opportunity to combine hands-on engineering with technical leadership-writing critical code, mentoring engineers, sharing knowledge, and driving best practices-while building a platform from the ground up at the cutting edge of AI, identity, and security.
Responsibilities:
Own and guide the technical direction of core platform domains, including agent identity, authentication, authorization, and secrets management,
shaping architectures that span multiple services and teams while balancing scalability, reliability, and security.
Lead by example through high-impact implementation, mentoring engineers, and helping them navigate complex technical tradeoffs.
Proactively identify critical technical problems or gaps, and drive solutions from concept through delivery.
Establish and promote engineering best practices, ensuring high standards for code quality, security, and operational excellence.
Communicate complex technical concepts clearly to engineers, architects, product managers, and stakeholders, influencing decisions, fostering alignment, and driving cross-team collaboration.
Document key decisions, patterns, and practices to elevate team knowledge and ensure consistency across the platform.
Advocate for continuous improvement and operational efficiency, helping the team work smarter while maintaining a secure, high-quality platform.

Were building foundational infrastructure to secure AI agents - including their identities, access patterns, and interactions with sensitive systems and data. This includes designing intelligent, dynamic mechanisms for ephemeral access control, secrets management, and agent/user identity tailored to the modern agent ecosystem.
Youll help define how agents (both machine and human-facing) authenticate, obtain scoped access, perform actions securely, and leave a verifiable audit trail.
This is a unique opportunity to be part of a start-up inside the company - building the platform from scratch at one of the most cutting-edge intersections of AI, identity, and security.
Responsibilities:
Own the design and development of secure, scalable services that enable AI agents to manage their identities, secrets, and access - directly protecting critical systems and data.
Take charge of agent authentication flows and real-time access policies, ensuring seamless, reliable just-in-time, least-privilege access.
Lead the evolution of MCPs and agentic AI, transforming innovative ideas into systems that define how intelligent agents operate at scale.
Collaborate with architects and engineers to shape and deliver high-performance platform components you can take pride in.
Write clean, maintainable, and scalable code that powers some of the worlds largest and most security-conscious companies.
Drive cross-functional efforts with platform, AI, and security teams to gather requirements, influence design decisions, and bring impactful solutions to life.

We are looking for a Senior Network Engineer to join a dynamic, results-oriented team supporting InfiniBand and Ethernet fabrics in the most demanding data center, AI, storage, and HPC environments. As a Technical Support Engineer, you will be an approachable, proficient communicator who takes ownership of resolving issues while ensuring a high level of customer satisfaction. You will work closely with Engineering, Marketing, and Support teams on complex technical issues.

What you will be doing:

Tier 3 support for InfiniBand and Ethernet fabrics: installing, supporting, and resolving complex technical issues in large AI/HPC and storage clusters.

Troubleshooting end-to-end InfiniBand fabrics - subnet management (UFM / OpenSM), routing topology and congestion control.

Developing and presenting comprehensive technical solutions to customer problems, including project management of complex fabric installations.

Problem reporting, issue replication, and resolution management.

Responding to customer technical inquiries.

Site visits and conference calls with customers and partners.

Developing and refining internal processes to improve support efficiency and productivity.

We're looking for a Senior Data Scientist to join the AI cybersecurity team in the Security and Networking Architecture group. As a Senior Data Scientist youll have the opportunity to take an active part in the research and development of our world-class networking and data center security products. This role involves creative problem solving alongside engineering teams, and is key for the continued success of AI networking security.

What youll be doing:

Developing agentic AI systems for security, combining generative models, RAG, and tool-augmented reasoning to automate threat analysis and response workflows.

Optimizing and fine-tuning models for performance, scalability, and resource utilization, considering factors such as latency, efficiency, and cost.

Developing, implementing and improving models and algorithms across media types, whether time series, images, text, audio or video.

Leveraging data pipelines to efficiently process and transform large volumes of data for training and inference purposes.

Applying alignment techniques and parameter efficient fine-tuning to improve model performance.

Measuring and benchmarking model and application performance to drive improvements.

Driving the gathering, building, and annotation of domain specific datasets for benchmarking and training.

Collaborating closely with software and hardware engineers on new features and improvements. Participate in developing and reviewing code, design documents, use case reviews, and test plan reviews.

We're looking for a Senior AI Infrastructure Engineer to join a group that specializes in Security and Networking, and specifically ML/AI, MLOps, and agentic AI development. As a Senior AI Infrastructure Engineer, youll build and maintain the infrastructure, tools and processes necessary to support the AI lifecycle in a production environment. You will collaborate closely with data scientists, software engineers, and security architects to ensure smooth development, deployment, evaluation, and optimization of AI pipelines, models, and agents. This role requires a balance of high-level engineering rigor and a collaborative spirit; youll be a technical anchor and a supportive peer for teams across the organization.



What youll be doing:

Architecting, developing and optimizing scalable infrastructure for deploying security and networking AI models and agents in production.

Managing ML/agentic workflows to ensure performance, high availability, resource efficiency, and cost-effectiveness.

Designing and implementing pipelines and frameworks for AI training, inference, and experimentation.

Partnering with data scientists and security architects to operationalize AI agents, including packaging and integration with existing systems. This includes contributing to and reviewing code, design documents, and test plans.

Partnering with DevOps teams to integrate pipelines and workflows into CI/CD processes, ensuring reliable deployments and rollbacks.

Building proactive monitoring systems to identify issues in quality and infrastructure before they impact production.

Implementing access controls, authentication mechanisms, and encryption standards to keep our AI models and data secure.

Documenting guidelines and leading knowledge-sharing sessions to elevate the teams collective development expertise.

Our work in Networking and AI is transforming the world's largest industries and profoundly impacting society. Our Networking product security team is looking for an outstanding technical AI red teamer with hands-on safety and security experience to help us improve the safety posture of AI models, systems and infrastructure. In this role you will reduce risk, threats, and vulnerabilities in our networking AI products.

What you'll be doing:
Drive hands-on safety and security research on a range of AI and networking products.
Develop tools and processes to expose novel weaknesses in AI models and systems to preempt threats.
Participate in defining and ensuring AI development processes meet safety and security standards.
Partner with cross-functional teams to understand needs and implement solutions.
Be a technical focal point across multiple teams and provide hands-on AI safety, security and engineering expertise.

We are seeking an experienced Security Architect who has experience in confidential computing and attestation systems. The ideal candidate should have deep expertise in at least one leading confidential compute architecture and ideally in PCIe support around TDISP, IDE, SPDM. Strong knowledge of general system security, virtualization and hardware-enforced isolation primitives is essential.

What you'll be doing:
Lead, research, design, develop, and implement solutions for next-generation confidential computing network devices.
Develop novel hardware isolation mechanisms to provide defense in depth in the SoC.
Collaborate with external and internal hardware and software teams to implement and deliver the architecture.
Architectural modeling, validation, microarchitectural definition, and developing proofs-of-concept for secure platforms.

We are looking for a talented and passionate Full Stack Software Engineer to join our growing R&D team and help build next-generation data and AI-driven products.
In this role, you will take part in designing and developing scalable, high-performance web applications while working with modern technologies, advanced development methodologies, and cloud-native architectures. You will collaborate closely with Product, UX, QA, and fellow engineers to deliver exceptional user experiences and innovative solutions.
If you enjoy solving complex technical challenges, exploring new technologies, and working in a fast-paced environment where your impact is significant, wed love to meet you.
What Youll Do
Design and develop modern, scalable web applications from end to end.
Build robust backend services and APIs using modern server-side technologies.
Develop rich, responsive, and high-performance frontend applications.
Translate product and UX requirements into clean, maintainable, production-grade code.
Participate in architecture and technical design discussions.
Work with AI-powered technologies and modern data platforms.
Collaborate closely with Product Managers, UX Designers, QA Engineers, and other developers in an agile environment.
Continuously improve code quality, development processes, and engineering standards.
Explore and adopt new technologies, tools, and development approaches.
Who You Are
A fast learner who quickly adapts to new technologies and challenges.
Curious, innovative, and passionate about technology.
A team player who enjoys brainstorming and collaborative problem-solving.
Comfortable working with both modern and legacy systems.
Motivated to create impactful products with a great user experience.
Someone who thinks outside the box and brings creative solutions to complex challenges.