דרושים » הנדסה » Software Engineer - Kusto

We are looking for a talented software engineer with a passion for security to help build innovative edge-to-cloud security solutions for our next-generation devices and platforms.

You will contribute to and lead the development of core product features, from understanding system and product requirements and defining feature behavior, through architecture, design, and implementation, to delivering high-quality, secure services and endpoint components.

You will work across the stack, spanning firmware, hardware, operating systems, and cloud-connected security solutions, helping build the trusted security foundations of next-generation devices. You will collaborate with silicon partners, security experts, and engineering teams across us to deliver innovative, end-to-end security capabilities. The role offers significant technical ownership, opportunities to drive innovation, and continuous growth at every stage of your career.

AI is a core part of how we engineer. Our team has broad access to advanced AI capabilities, including unrestricted usage with no token limits, enabling engineers to fully integrate AI into their daily workflow. We actively use AI to accelerate design, coding, debugging, security research, testing, and documentation. We also empower engineers to go beyond personal productivity by building AI-powered tools and agents that improve how the entire team works and delivers value.

Join us in pushing the boundaries of security engineering. From silicon and firmware to operating systems and cloud-connected services, you'll help build trusted foundations that secure our future devices and experiences on a global scale.


Responsibilities

Partner with product, system, cloud, firmware, hardware, and security engineering teams to design and deliver innovative security solutions.

Contribute to and lead the design, implementation, integration, testing, and delivery of core security features spanning firmware, operating systems, endpoint software, and cloud-connected services.

Develop and integrate secure, reliable, scalable, and maintainable software and services using industry best practices and our high security and engineering standards.

Apply secure engineering practices, including threat modeling, secure design reviews, code reviews, mitigation planning, vulnerability response, and security validation.

Define technical requirements, architecture, dependencies, engineering priorities, and delivery plans in a complex cross-team environment.

Work closely with hardware, firmware, operating system, Windows internals, cloud, and security engineers to characterize solutions, define interfaces, and optimize security, reliability, and performance.

Drive features from inception through production, including quality, observability, deployment, monitoring, incident readiness, and continuous improvement.

Leverage advanced AI capabilities to accelerate engineering workflows and build AI-powered tools and agents that improve team productivity and product quality.

Continuously learn emerging security technologies and attack techniques, share knowledge with the team, and mentor peers as your experience grows.

we are looking for a talented, hands-on and experienced DevOps Engineer to join our Operations team.

In this role, you will be responsible for ensuring the availability, reliability, and scalability of our production environments, proactively monitoring systems in real time and troubleshooting complex technical challenges. Youll work with modern cloud-native technologies, help improve operational efficiency, and play a key role in maintaining and evolving our infrastructure.

This is an opportunity to work on a fascinating and challenging product, gain exposure to innovative and diverse technologies, and join a fast-growing company that is leading its field. At Upstream, we invest in our people and support both personal and professional growth.

Were looking for someone with strong technical skills, a positive mindset and a constant drive for excellence.

This is a full-time, hybrid role based in Herzliya, Israel.

Responsibilities
Implement and operate large-scale Kubernetes and cloud solutions
Build and maintain infrastructure across AWS / Azure / GCP
Monitor customer infrastructure and production environments
Roll out processes for new services and applications
Enforce and maintain cloud and product security standards
Troubleshoot and resolve technical issues in customer environments
Develop and maintain infrastructure automation tools and workflows
Implement automation processes and AI-driven tools to improve operational efficiency

We are currently hiring for multiple Security Research positions across our Microsoft Defender Research teams in Israel. By applying to this unified pipeline, you will be considered for a high-impact role (at either the Security Researcher II or Senior Security Researcher role) within one of our specialized groups, including Autonomous Attack Disruption, Cloud Workload Protection, Identity Research, Posture Research, or Security for AI.

We are looking for passionate, highly skilled security researchers who thrive on the challenge of breaking complex attacker kill-chains. Leveraging Microsofts dominant market position and the worlds most massive telemetry set, you will have a direct, tangible impact on the security of the global economy. We are looking for researchers who want to see their findings transformed into production-ready protection, where the ultimate goal is not just to detect threats, but to prevent and stop them in near real-time.

Responsibilities

Investigate real world advanced attacker TTPs to develop high-fidelity protection signals, and robust logic across complex kill-chains.

Design and implement innovative capabilities that autonomously prevent, detect and disrupt sophisticated threats in near real-time.

Infuse deep security expertise into the analysis of massive telemetry sets using big-data query languages, reasoning over data to identify novel malicious patterns, and drive evidence-based research decisions.

Partner with engineering and product teams to share research insights, validate protection concepts, and push ideas forward into production-ready protection at a global scale.

Contribute expert insights to a strategic feedback loop by analyzing real-world attack data and telemetry to refine protection coverage and accuracy.

At Infinidat, a Lenovo company, we empower enterprises and service providers with cutting-edge storage platforms that redefine performance, reliability, and cyber resilience at scale. We’re looking for passionate and bright individuals who wish to take part in the design, development and all technical-related aspects of INFINIDAT NAS team. The selected candidate will be part of a professional team that develops in C++ over Linux high-performance, multi-threaded, clustered, mission-critical, server-side products.

Responsibilities:

* Design, develop, and maintain SW components for NAS, including file system management .
* Implement & optimize network file-sharing protocols (NFSv3/4, SMB/CIFS, S3).
* Troubleshoot and resolve complex issues related to performance, data integrity, and reliability through clustered env.
* Collaborate with QA, PM and other RnD groups (Core, UI/CLI, mgmt API, platform/HW).
* Write clean, well-tested, maintainable code and participate in code reviews.
* Improve code quality (python suites, code coverage, static analysis, memory leak detection).
* Contribute to system architecture decisions, especially around scalability, high availability, and fault tolerance.
* Monitor and improve system performance under high I/O and concurrent access conditions.
* Document technical designs, APIs, and operational procedures.

We are seeking an experienced Software Developer to join our IT Business Applications department. This team is responsible for developing and maintaining internal applications that support our business operations. The ideal candidate will have strong expertise in both .NET/C# and Python development, with a proven track record of building scalable cloud-based applications.
What Youll Do:
Lead and participate in the full application lifecycle, from requirements through architecture, development, and monitoring
Design and build scalable backend services and RESTful APIs
Develop clean, maintainable, high-performance code
Contribute to system architecture and cloud-native scalability
Collaborate with cross-functional teams to deliver new features
Apply modern development practices and participate in code reviews
Leverage emerging technologies, including AI tools, to enhance applications

we are looking for a Senior Full-Stack Software Engineer.
As a Senior Software Engineer, you will be responsible for:
Designing and building scalable backend applications for next-generation identity solutions.
Collaborating with Product Management and engineering teams to deliver high-quality features.
Conducting design reviews and partnering with QA to deploy production code.
Collaborating across the organization with Data Science, Product, and Operations to build innovative components of Akamai's Big Data AI solutions.
Solving complex technical challenges proactively with a high success rate.
Participating actively in agile SCRUM planning and technical team meetings.
Optimizing and supporting the continuous integration and delivery pipelines.

At Infinidat, a Lenovo company, we help enterprises and service providers empower their data-driven competitive advantage at scale. We're looking for a top-notch Backend Engineer to join Infinidat's Big Data / AI Ops group. In this role, you'll design and build the services that power our data platform — developing scalable microservices, optimizing data pipelines, and working closely with large-scale storage and operational datasets.

Responsibilities:

* Design, develop, and maintain backend services and microservices in Python
* Build and optimize database queries and schemas, primarily on PostgreSQL and ClickHouse
* Develop and operate data-intensive services supporting big data and AIOps workloads
* Collaborate with cross-functional teams on architecture, performance, and reliability
* Write clean, well-tested, maintainable code and participate in code reviews

At Infinidat, a Lenovo company, we empower enterprises and service providers with cutting-edge storage platforms that redefine performance, reliability, and cyber resilience at scale. We’re looking for passionate and bright individuals who wish to take part in the design, development and all technical-related aspects of INFINIDAT’s Core team. The selected candidate will be part of a professional team that develops in C++ over Linux high-performance, multi-threaded, clustered, mission-critical, server-side products.

Responsibilities:

* Design, develop, and maintain Core backend services in C++ on Linux.
* Develop and optimize high-scale I/O flows, metadata management, persistence layers, and storage-related data paths.
* Maintain and optimize databases, caching, and configuration-management solutions for clustered environments.
* Develop infrastructure that serves user requests and integrates with higher-level system components.
* Investigate and resolve complex production issues while improving performance, scalability, stability, and resource efficiency.
* Collaborate closely with developers, architects, QA engineers, and product teams throughout the development lifecycle.

we are looking for a Backend Developer (C# or Java).
By taking the complexity out of the financial workflows-including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence-we give businesses the tools they need to work efficiently worldwide and grow with confidence.
Location: Herzliya-Glilot
Hybrid
Full-time
What youll do:
Take a leadership role in achieving team goals, contributing to the overall design, architecture, development, quality, and production deployment of the team's systems.
Design and implement robust, scalable, and maintainable backend solutions for complex scenarios, ensuring high-quality results that may be consumed by other teams.
Collaborate effectively within your team and with cross-functional partners, such as Product, Design/UX, DevOps, and other R&D teams, representing your team as needed.
Maintain and improve the team's engineering practices, suggesting and implementing technology, patterns, or process enhancements.
Proactively identify areas of improvement in team systems, processes, and scalability.
Lead by example in code quality, contributing significantly to code reviews and acting as a focal point for engineering excellence questions.
Help monitor production systems, investigate potential issues, and lead efforts to resolve critical production challenges while maintaining a customer-centric approach.

The WSSI (Windows Silicon System Integration) team is looking for an experienced Data Science Manager to lead a team developing production-oriented AI solutions across computer vision and efficient small language models, helping bring advanced models to Windows products under real-world edge-device constraints.

This role offers a meaningful leadership opportunity: managing a diverse team that includes researchers, MLOps engineers, and data management experts, while shaping the teams technical direction and influencing product directions in close partnership with product and system engineering teams, all within a culture that values inclusion, collaboration, continuous learning, and individual growth.

The teams primary focus is developing state-of-the-art computer vision solutions that can run efficiently under real-world edge-device constraints, including model size, latency, power, and deployment efficiency. In parallel, the team explores similar optimization opportunities for SLMs, enabling advanced AI models to run more efficiently across Windows products.

In this role, you will help turn applied research into production-quality AI experiences, collaborate closely with product, system engineering, software, and silicon teams, and create impact for millions of customers.

Responsibilities

Lead, grow, and develop a diverse data science team that includes researchers, MLOps engineers, and data management experts, while fostering a culture of technical excellence, collaboration, ownership, and continuous learning.

Define and drive the teams technical roadmap in close partnership with product and system engineering teams.

Guide the development of production-oriented AI solutions from research exploration through production deployment, with a strong focus on quality, scalability, reliability, and measurable customer impact.

Drive model efficiency and deployment readiness for constrained environments, ensuring AI solutions meet real-world requirements for performance, latency, footprint, and resource usage.

Mentor team members, create clarity, set priorities, and help the team deliver high-impact results in a dynamic and evolving environment.