דרושים » תוכנה » Senior Software Engineer 2564

We are looking for a Senior Software Engineer to join our Sensors Team and play a key role in the development of our Endpoint Sensor (Agent) platform. This is a hands-on senior position with strong technical ownership, focused on designing, building, and maintaining high-performance endpoint sensors across multiple operating systems.

In this role, you will work closely with sensor, analysis, and platform teams to ensure reliable, efficient, and scalable data collection in highly complex and demanding customer environments. The position requires deep systems knowledge, strong problem-solving skills, and the ability to influence technical direction through technical expertise.

RESPONSIBILITIES
Design, implement, and maintain endpoint sensors on Windows, macOS, and multiple Linux distributions, including installation processes and shared APIs.
Take technical ownership of key components within the endpoint sensor stack, ensuring high performance, reliability, and low resource footprint.
Collaborate with cross-functional engineering teams to define APIs, schemas, and data flows, ensuring data accuracy, availability, and correctness across the system.
Participate in architectural and design discussions, contributing to technical decisions and long-term system evolution.
Identify and implement improvements across the system, from core business logic to new data sources and monitoring capabilities.
Troubleshoot and resolve complex issues related to sensor deployment, behavior, and performance across different operating systems and environments.
Maintain high engineering standards, including code quality, testing, documentation, and maintainability, while working within an agile development process.

In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us! We believe collaboration thrives in person. Thats why most of our teams work from the office full time, with flexibility when its needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes.
As a Software engineer on our Email Security team, you will play a key role in shaping and delivering a cutting-edge email security solution within the Cortex platform. Your responsibilities will include designing and developing an infrastructure capable of supporting billions of events per second, collecting, storing, processing, analyzing, detecting threats and making them accessible, visible and actionable for users while seamlessly integrating with the industrys leading cyber-security products. You will design and build a highly available, reliable, and secure solution that adheres to the highest standards. Beyond development, your crucial role involves meaningful cross-organizational collaboration, driving a significant impact to ensure the success of our product. Our Cortex engineering group, primarily based in the TLV office, allows us to operate at a high pace with short decision-making loops. In this role, you will need to demonstrate creativity, innovation and deep knowledge in backend engineering, conducting research to find new technologies. A can-do approach, a passion for excellence and a commitment to continuous improvement are essential qualities for success in this position.
Key Responsibilities
Take ownership of a brand new product, driving its development from concept and design to full implementation
Focus on meaningful, high impact work, building major parts of a groundbreaking new product
Build a new offering designed to operate at massive scale
Dive into new cutting-edge technologies, researching and integrating them to enhance the products capabilities.

As a Senior Software Engineer on the Cortex Platform Application team, you will be a hands-on technical leader responsible for designing, building, and operating critical backend platform services used across Cortex. This role is for an engineer who can combine deep platform/backend expertise with strong ownership, practical execution, and cross-team influence. You will help build scalable and reliable services, guide technical decisions, improve engineering methods, mentor engineers, and raise the quality of how the team designs, ships, documents, tests, and operates its systems. The team owns a broad set of platform capabilities, including areas such as application configuration, dashboards and reporting infrastructure, metrics, multi-tenant and MSSP infrastructure, log forwarding, notifications, auditing, access and permission engines, filtering and querying infrastructure, and other shared application platform domains. We are looking for someone who is not only strong technically, but also enjoys joining a high-performing team, taking ownership from within, and helping turn strong execution into repeatable engineering practice. A successful candidate will quickly become a trusted part of the team by shipping meaningful work, learning the team's domains, and helping others move faster. Over time, this person will help the team increase delivery capacity while also improving how work is designed, documented, tested, operated, and shared across the organization. The right person will not act as an external advisor or abstract architect. They will join the team's day-to-day work, earn trust through execution, and help create organized technical influence from inside the team.
Key Responsibilities
Design, build, and operate scalable, reliable, and secure backend services for the Cortex Platform.
Act as a hands-on technical leader, writing and reviewing production code for critical platform services.
Lead technical design for complex backend and platform domains, balancing long-term architecture with practical delivery.
Own and improve core platform capabilities used by internal engineering teams and Cortex customers.
Drive operational excellence, including observability, monitoring, alerting, incident response, reliability, and participation in on-call.
Improve engineering methods around documentation, testing, design reviews, ownership models, and production readiness.
Mentor senior, mid-level, and junior engineers through design guidance, code reviews, production work, and day-to-day collaboration.
Collaborate closely with product managers, architects, security experts, QA, DevOps, and other engineering teams.
Help internal customers use platform capabilities correctly by creating clarity, alignment, and practical technical guidance.
Identify gaps in systems, processes, and ownership, and lead improvements without adding unnecessary process or friction.
Contribute to a calm, practical, low-ego engineering culture focused on ownership, execution, and continuous improvement.

Required Senior Developer (DevOps and Infrastructure)
We're revolutionizing how the world moves money with our unified global payments platform. Our team is at the forefront of ensuring the security and resilience of this critical infrastructure, and we're looking for a strong DevOps engineer to play a pivotal role in designing and implementing robust solutions across our infrastructure and applications.
If you have a passion for building secure-by-design systems, a deep understanding of both infrastructure and application principles, and the ability to translate complex requirements into actionable blueprints, we want to hear from you. You'll be instrumental in shaping our infra and security landscape, ensuring our platform remains a trusted and secure environment for our global users.
What You'll Be Doing:
You will work with Python and APIs, codifying infrastructure, and lead the architectural design and implementation of solutions for our cloud infrastructure, network, and applications.
Constantly push optimizations and best practices. Define and maintain security standards, frameworks, and best practices across the organization.
Collaborate closely with engineering, product, and operations teams to integrate security seamlessly into the development lifecycle and infrastructure deployments.
Evaluate and recommend security technologies and tools to enhance our security posture.
Develop security reference architectures and patterns to guide engineering teams in building secure solutions.
Participate in threat modeling and risk assessment activities to proactively identify and mitigate potential security threats.
Provide expert guidance and mentorship to engineering teams on security-related topics.
Stay current with the latest security trends, threats, and technologies, and translate them into actionable strategies for us.

Required Senior R&D System Application Engineer (12 Months Contract)
Innovation starts from the heart. We put patients first. We invest a significant proportion of our revenue towards research and development to drive and develop groundbreaking medical innovations for structural heart disease. As part of our R&D Engineering team, you will work closely with our Quality and Manufacturing teams to develop the latest tools and technologies to address significant, unmet clinical needs that impact patients lives around the world.
What will you do?
You will be part of an R&D team responsible for the development, integration, and validation of medical device systems. With a strong emphasis on hands-on development, data-driven engineering, with a problem-solving mindset. you will contribute to the full product development lifecycle - from the need, through signal processing and GUI development to system testing and clinical application. This role is designed for engineers who are passionate about building and refining medical device technologies in a multidisciplinary environment.
How youll make an impact:
Develop and improve medical device features within the portfolio as part of a multidisciplinary R&D team that includes mechanical, hardware, and software engineers. Main activities include - procedure development, algorithm development, GUI design and implementation, scripting, test automation, data acquisition, and data analysis and visualization.
Participate in the design and development of system-level features, supporting architecture decisions and translating clinical and functional requirements into working solutions.
Perform hands-on testing of medical device systems (implant systems, hardware, and software), including functional, integration, and exploratory testing to validate design performance and clinical readiness.
Lead test design efforts, including writing test cases, test procedures, and test reports. Collect, analyse, and summarize test data to support design decisions and issue investigations.
Execute and support test protocols in lab and simulated clinical environments. Accurately document results, observations, and issues to ensure traceability and compliance.
Collaborate with stakeholders and colleagues - including caregivers, R&D engineers, clinical specialists, marketing, and quality teams - to understand system behaviour, clinical workflows, and end-user needs, ensuring that developed solutions align with real-world application requirements.

As a leading technology innovator, we push the boundaries of what's possible to enable next-generation experiences and drive digital transformation, creating a smarter, connected future for all.

As a company AI Software Engineer, you will develop and implement cutting-edge AI techniques that enable the efficient utilization of state-of-the-art solutions across various technology verticals.

In this position, you will be responsible for leading software development and implementation of the company AI Stack features within our AI Runtime (QAIRT) SDK, specifically Core software including Generative AI Inference Extensions. You will contribute to the efficient execution of advanced deep neural networks (DNNs), large language models (LLMs), and other modern AI architectures. You will also be responsible for supporting AI stack that optimizes runtime efficiency, latency and power consumption of AI applications running Machine Learning workloads on our low-power AI accelerators. The DSP core design work directly supports our NPU and GPU solutions, enabling optimized inference across diverse hardware platforms.

You will have the opportunity to demonstrate your passion for software design and development through your analytical, design, programming, and debugging skills.
Responsibilities
Develop real-time software for our AI DSPs to support the execution of the latest generative AI models on Snapdragon platforms

Develop and implement core components of our AI Stack runtime framework for inference on resource constrained AI systems, operating in low power, small memory footprint platforms

Validate, analyze, and optimize the performance and accuracy of software through detailed testing of machine learning use cases

Debug complex issues, perform root cause analysis, and ensure high system reliability

Collaborate with cross-functional teams to deliver robust, scalable AI software solutions

Contribute to a culture of technical excellence, knowledge sharing, and continuous improvement within the AI Software team

Participate in design and code reviews

Working in global environment and collaborating inside the team and across other AI teams

Are you ready to make a significant impact by tackling SW verification challenges? We are seeking an exceptional candidate to work with world-class technologies in the domains of High-Speed Communication and Virtualization for our most advanced markets and customers. Our products encompass Ethernet and InfiniBand protocols, delivering a wide range of cutting-edge networking, storage, and security services for cloud, complex compute, and AI workloads. As a Software Verification Engineer, you will play a crucial role in ensuring on-time and high-quality releases.

What youll be doing:

Take an active part in development, integration, and verification with R&D.

Develop and maintain test automation frameworks and scripts using Python.

Identify, analyze, and report software defects, inconsistencies, and other quality issues.

Drive design verification flows and methodologies improvements.

Perform functional, integration, and regression of software applications and networking protocols.

Work with planning and tracking systems to manage the release progress and build release indicators.

Participate in code reviews, provide feedback, and suggest improvements to enhance the quality and maintainability of the software.

Continuously monitor and evaluate the effectiveness of test processes and methodologies, recommending improvements as necessary.

Stay up to date with industry best practices, new technologies, and emerging trends in software verification and QA.

Make better product quality by improving test coverage.

As a Senior or Principal Software Engineer in Cortex Cloud, you will contribute to the development and scaling of cloud-native security solutions for enterprise organizations. This role involves working within an established team to evolve a high-traffic product, with a focus on refining architecture, optimizing the technology stack, and maintaining engineering standards.
Your responsibilities include writing reliable code, influencing product direction, and designing distributed systems. You will be expected to make technical decisions that impact the long-term stability and performance of cloud workload protection services.
AI Integration & Engineering Workflow
A core component of our development process is the use of AI. Rather than basic code completion, we integrate AI assistants as functional components of our workflow. Our team utilizes a multi-agent AI system (IDEX/ProDex) that assists across the development lifecycle: from planning and architecture to code analysis and security reviews.
In this role, you will:
Work with AI Tools:Utilize platforms such asGemini, Claude, and Cursorfor tasks beyond code generation, including root-cause analysis, system design reviews, and architectural assessment.
Develop AI-Augmented Workflows:Help refine how AI is integrated into the SDLC, including the orchestration of agents and the development of internal tools that extend AI capabilities across our codebase.
Maintain Quality Standards:While AI assists in increasing velocity, you are responsible for the technical output. This includes critical review of all generated code and ensuring that AI-assisted work aligns with our architectural requirements and security benchmarks.
Interact with Specialized Agents:Coordinate with AI agents (Product, Architecture, Security) that operate on shared context to assist in managing complex engineering tasks.
We are looking for engineers who are interested in leveraging AI as a technical tool to manage complexity and who want to contribute to the practical application of human-AI collaboration in a cloud environment.

we are looking for a Senior Software Engineer.
As a Senior Software Engineer, you will be responsible for designing and building core backend services and product capabilities, working on scalable systems that handle large volumes of security-related data, and developing robust features that improve security posture in cloud environments.
The ideal candidate will have strong software engineering foundations, a product-minded approach, and experience building distributed systems in production.
You will collaborate closely with Product, Research, and Engineering teams to deliver secure, performant, and reliable solutions end-to-end.
You will work within the engineering department, contributing to architecture decisions, improving code quality, scalability, and reliability, while maintaining strong ownership over development and delivery in a fast-paced environment.

As a Senior or Principal Software Engineer in Cortex Cloud, you will contribute to the development and scaling of cloud-native security solutions for enterprise organizations. This role involves working within an established team to evolve a high-traffic product, with a focus on refining architecture, optimizing the technology stack, and maintaining engineering standards.
Your responsibilities include writing reliable code, influencing product direction, and designing distributed systems. You will be expected to make technical decisions that impact the long-term stability and performance of cloud workload protection services.
AI Integration & Engineering Workflow
A core component of our development process is the use of AI. Rather than basic code completion, we integrate AI assistants as functional components of our workflow. Our team utilizes a multi-agent AI system (IDEX/ProDex) that assists across the development lifecycle: from planning and architecture to code analysis and security reviews.
In this role, you will:
Work with AI Tools:Utilize platforms such asGemini, Claude, and Cursorfor tasks beyond code generation, including root-cause analysis, system design reviews, and architectural assessment.
Develop AI-Augmented Workflows:Help refine how AI is integrated into the SDLC, including the orchestration of agents and the development of internal tools that extend AI capabilities across our codebase.
Maintain Quality Standards:While AI assists in increasing velocity, you are responsible for the technical output. This includes critical review of all generated code and ensuring that AI-assisted work aligns with our architectural requirements and security benchmarks.
Interact with Specialized Agents:Coordinate with AI agents (Product, Architecture, Security) that operate on shared context to assist in managing complex engineering tasks.
We are looking for engineers who are interested in leveraging AI as a technical tool to manage complexity and who want to contribute to the practical application of human-AI collaboration in a cloud environment.