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We are looking for a talented highly-motivated experienced SW engineer to join one of its growing inspiring development teams.
You will work on multi-tenant, high-scale, distributed SaaS echo system on top of k8s platform which is used for managing the cloud security services infrastructure, customers' self-service configuration, monitoring and reporting, analytics and more.

As a SW engineer, you will manage and work with the different Engineering teams and architects in order to design, develop, monitor, scale and optimize the large-scale architecture of a winning SaaS security service.

What will you do?

Implement our implementation of next generation back-end infrastructure to help us scale our SaaS based infrastructure.

Be part of a team building tools to make our infrastructure scalable, and robust.

Leverage Generative AI tools for code generation, optimization, debugging, documentation, and prototyping.

Continuously research and integrate new AI-driven developer productivity tools.

Design and develop an always-available Cloud-based SaaS platform in AWS

Lead and Design the development of robust CI/CD pipelines for Kubernetes running Containerized applications

Design and build strong Application and System monitoring and automated self-healing procedures.

Maintain and support application deployments, building new systems and upgrading existing.

Working closely with all the Engineering and DevOps teams, taking full responsibility and ownership from conception to post-deployment in a collaborative, fast-paced environment.

We are seeking a leader for the Physics team, who likes to see the whole picture, to take part in developing the core technology for our fiber-sensing platform.

The Physics Team Leader will report to the VP R&D.

What Youll Do:
Own and lead the development of our next-generation fiber-sensing systems, driving innovation from concept through production.
Manage and grow a multidisciplinary team of physicists, providing technical mentorship and day-to-day leadership.
Oversee cross-functional hardware development, including: optical system design and integration, electrical board design, thermal design of enclosures and components.
Lead system-level architecture decisions, integrating optical, mechanical, electrical, and computational elements to deliver reliable, high-performance systems.
Balance leadership with hands-on contribution approximately 50% of the role will involve technical, hands-on R&D work.
Collaborate closely with algorithm, software, and field engineering teams to ensure smooth integration and deployment of hardware in real-world environments.
Drive research initiatives for new sensing capabilities, pushing the limits of whats possible with fiber-based technology.
Act as a key voice in technology strategy, contributing to long-term vision and roadmap.

We are looking for a Senior Data Scientist to join our journey to reinvent how power‑grid capacity is unlocked. The ideal candidate combines deep expertise in AI, physics, and engineering, with a strong track record in handling raw sensor and time-series data. They should excel in signal processing, statistical modeling, and building production-grade analytics and data pipelines. The role demands both software engineering skill and rigorous, safety-conscious development, as it impacts critical infrastructure.

What Youll Do:
Low‑Level Signal Processing Transform raw millisecond‑scale waveforms into meaningful features: design signal processing pipelines, extract spectral and temporal signatures of wind‑induced motion, and craft features that power the next layers of modelling.
Research, train, and optimize models that infer local wind speed and direction, conductor temperature and strain, and detect anomalous eventsleveraging cutting‑edge AI techniques to explore a fascinating, largely untapped domain.
Deliver physical and mathematical insights from the data; work closely with academic partners to design preprocessing, augmentation, and physics‑context layers that translate wind‑induced vibrations into accurate wind metrics.
Write, test, and maintain reliable code that operates 24/7 in production and integrates seamlessly with utility systems.
Shape the teams data roadmap, mentor peers, and champion best practices in MLOps, experimentation, and documentation.

we are looking for a DevOps Engineer

we are looking for a DevOps Engineer (AWS)

The Infrastructure and Developer Platform (IDP) team within the Microsoft Threat Protection (MTP) organization builds and maintains the infrastructure and developer platform that all Defender products rely on, in an unmtachable scale. This platform allows engineers across MTP to more easily deploy their services, lower costs, and increase security and reliability across our fleet.



Responsibilities


Serve as a hands-on Kubernetes subject matter expert, driving architecture, design, and implementation of scalable, secure, and resilient AKS-based solutions.
Design and implement cloud-native security solutions using Azure technologies, with a focus on container runtime protection, policy enforcement, and threat detection.
Own and deliver production-grade services with high availability, reliability, and performance across global AKS deployments.
Develop and maintain CI/CD pipelines, secure build systems, and automated testing frameworks tailored for Kubernetes workloads.
Drive observability and telemetry improvements, including logging, monitoring, alerting, and incident response for services.
Identify and implement innovative approaches to secure Kubernetes workloads at scale, including leveraging AI/ML for anomaly detection.
Contribute to strategic initiatives that shape Microsofts container security roadmap and influence industry best practices.
Mentor junior engineers and contribute to engineering culture through code reviews, design discussions, and knowledge sharing.
Demonstrate ownership and accountability for end-to-end delivery of features and services.
Exhibit growth mindset by continuously learning and adapting to new technologies, threats, and customer needs.
Influence engineering decisions and drive impact beyond the immediate team.

Required Inventory Planning Manager
Description
Main Task:
Lead & manage global Inventory optimization through execution of inventory strategy & tools implementation throughout the company. Enable to Increase the companys cash flow while maintaining high service level to our customers.
Job description
Managing the Global Inventory Planning team, responsible for implementation of global inventory management strategy.
Maintain & control inventory management tool (SO99) utilizing different replenishment methods and training local inventory planners.
Manage annual inventory budget, set financial & operational targets to the BU
Control & track set of global Inventory KPIs, define new KPIs to improve inventory management.
Analyze global inventory data and provide monthly managerial reviews
Define slow inventory & set companys financial provisions.
Support utilization of global inventory, focus on slow inventory utilization
Design and implement new inventory management methods & tools per need
Work environment
Office work, flexible between any of the company sites.

We are making the future of Mobility come to life starting today.
At our company we support the world's largest vehicle fleet operators and transportation providers to optimize existing operations and seamlessly launch new, dynamic business models - driving efficient operations and maximizing utilization.
We are looking for a talented AI Applied Researcher to help us develop advanced AI solutions that will empower impactful projects. The Data Science team leads the AI research and innovation efforts of the company, and is focused on pushing AI boundaries to enhance the product and optimize processes.
What Youll Do
Lead an applied research for AI-driven features in the company's platform
Research and optimization agentic flows to solve complex problems
Collaborate with engineering teams to design, build, and maintain production pipelines
Conduct experiments and evaluate the performance of AI models, algorithms, and techniques
Stay up to date with the latest developments in AI, machine learning, and related fields, focusing on LLMs, exploring how emerging technologies can be applied to improve products and services.

We are making the future of Mobility come to life starting today.
At our company we support the worlds largest vehicle fleet operators and transportation providers to optimize existing operations and seamlessly launch new, dynamic business models - driving efficient operations and maximizing utilization.
As our global operation continues to expand, we are seeking a skilled and enthusiastic QA Manual Engineer to join our team. As a QA Engineer, you will play a crucial role in ensuring the quality and reliability of our products. The ideal candidate is self-motivated, detail-oriented, and possesses excellent organizational skills, as well as a strong willingness to learn and adapt to new technologies.
In this role, you will work with many different teams across the company. You will work closely with our product managers and developers, validating that our products meet the highest quality standards and effectively solve customer problems. You will also work closely with product designers, the support team, and more.
What You'll Do:
Perform comprehensive testing of new features to verify the requirements are met and long-term quality is upheld.
Develop and execute test plans, test cases, and test scripts to ensure the software meets quality standards.
Define core business flows that will serve as the backbone of the automated tests written by our automation developers.
Collaborate with the Product and R&D teams to investigate and troubleshoot issues, and provide usability feedback based on customer interactions.
Work closely with the support team to understand customer pain points, which will help inform your testing strategies.
Continuously stay up-to-date with the latest product features and improvements, ensuring that our QA processes are aligned with current developments.

Were looking for a Senior DevOps Engineer to join our newly formed Foundations Teama small, high-impact group responsible for the infrastructure, tools, and shared services that power our entire R&D organization.
In this role, youll design, build, and evolve internal platform infrastructure, CI/CD systems, and developer enablement tooling. Your mission is to empower developers across the company to work autonomously, by creating self-service tools, automation, and clear standards that reduce friction and increase reliability.
Youll collaborate closely with engineers across disciplines and partner with the Foundations Team Lead to shape DevOps practices that scale. This is a hands-on role for someone who thrives in high-velocity, mission-critical environments and is passionate about building tools that make developers faster, more productive, and confident in running their own services.
What Youll Do
Design and maintain scalable, developer-friendly CI/CD pipelines and deployment workflows.
Build self-service tooling and automation that enables teams to manage deployments, environments, secrets, and observability independently
Be responsible for cloud infrastructure and operations foundations
Implement and promote best practices for monitoring, logging, and alerting across services.
Operate and optimize Kubernetes-based production environments, ensuring performance, security, and stability.
Manage infrastructure using Infrastructure as Code (IaC) and ensure repeatability and traceability through tools like Terraform.
Collaborate with R&D teams to support onboarding to internal tooling and promote a culture of enablement over dependency.
Monitor cloud cost, ensuring our cloud operates efficiently.

Our global operations continue to expand, and were looking to grow our support team with hard-working, tech-savvy support agents to be part of this journey.
As a key player in the fleet mobility industry, we need service-oriented, self-motivated individuals with excellent organizational skills and a willingness to learn new technologies.
This is a fast-paced role where providing top-tier technical support is essential. You'll also play a key role in sharing product feedback based on client pain points and contributing to various initiatives that drive our growth.
The position is shift-based and requires work during weekends.
What You'll Do
Serve as the frontline technical problem-solver for high-value enterprise customers, diagnosing and resolving complex product issues under pressure
Apply advanced troubleshooting techniques to tackle challenging technical problems when standard solutions fail
Master our company's entire product ecosystem and continuously expand your technical knowledge to stay ahead of evolving features
Collaborate directly with Product and R&D teams to investigate critical bugs, escalate urgent customer pain points, and influence product development
Take part in customer meetings, help with integrations, and dive deep into real-world use cases to understand exactly how our solutions are being implemented with our products.
Provide expert guidance on product configuration to optimize performance for each customer's unique environment.

In your role as a PHY Algorithms Development Engineer, as part of Connectivity Group, you will be part of a world-class group that pioneers design and development of Physical Layer algorithms (PHY) for wireless communication systems for products. We live in a mobile and device driven world where knowledge of the physical world around us is needed. We rely on this knowledge to get around, to learn about our environment and to enable spectacular new features for custom applications. meeting those needs as robustly and as creatively as possible and is interested in people who want to help meet that commitment. The success we are targeting will be the result of very skilled people working in an environment which cultivates creativity, partnership, and thinking of old problem in new ways. If that sounds like the kind of environment that you find intriguing, then let's talk.

We are looking for a candidate who can innovate and integrate signal processing technologies, by solving diverse sets of problems in various wireless communication and sensing technologies; - Develop communication signal processing algorithms for best-in-class implementation of various wireless standards - Conduct basic research of existing solutions in literature - Involvement in block level spec definition - Perform mathematical analyses of the given problem and its proposed solutions - Implement floating-point simulations to prove spec compliance of suggested solutions - Implement fixed-point modeling and simulation to allow performance sign-off and RTL bit-exact development - Write detailed design documents that will enable implementation of algorithms by other teams specializing in either RTL design or DSP firmware coding - Optimize and fine-tune the system for spec compliance on silicon in an RF lab environment