לוח משרות דרושים מהנדס תוכנה במרכז

Responsibilities
​​Design and implement scalable test strategies and automation that validate end-to-end scenarios across the Fabric Platform, with emphasis on cross-workload integration and real-world usage patterns.
Partner closely with engineering, PM, and SRE teams to embed quality early in the development lifecycle and ensure reliable, production-ready releases.
Build and evolve intelligent test infrastructure that leverages telemetry, synthetic data, and production signals to detect issues before they impact customers.
Identify systemic quality risks across services and drive improvements in reliability, performance, and resilience at cloud scale.
Contribute to a culture of continuous quality by improving test coverage, reducing gaps, and enabling faster, more confident delivery.
Investigate complex issues in distributed systems, using data-driven approaches to isolate root causes and validate fixes effectively.​

We have multiple positions open for Software Engineers and Senior Software Engineers to be hired across different Security teams in Israel.

As a Software Engineer you will:
contribute to business-critical initiatives in our Security
Requiring deep technical skills and the ability to quickly adapt to new areas.
Will improve the end-to-end lifecycle of services
Analyze complex system behavior, and apply modern engineering practices to streamline deployments and reduce costs.
Your role involves working on high-end technologies and collaborating across disciplines to deliver impactful features.
You will also collaborate with multiple teams across us to deliver key customer solutions and support technology.

We have multiple positions open for Full stack Software Engineers and Senior Full stack Software Engineers to be hired across different Security teams in Israel.

As a Software Engineer you will:
Contribute to business-critical initiatives in our Security.
Use deep technical skills and the ability to quickly adapt to new areas.
Improve the end-to-end lifecycle of services.
Analyze complex system behavior, and apply modern engineering practices to streamline deployments and reduce costs.
Work on high-end technologies and collaborating across disciplines to deliver impactful features.
Collaborate with multiple teams across us to deliver key customer solutions and support technology.

Responsibilities:

If you are passionate about advancing security and staying ahead of sophisticated threats, this is your opportunity. As a Software Engineer, you will:

Design, develop, and maintain security solutions for Edge and cloud environments, focusing on cryptography, keys and certificates.

Lead technical architecture and design discussions, driving innovation in secure Azure Edge technologies across Windows and Linux.

Collaborate with cross-functional teams to deliver scalable, reliable, and efficient security features for our Specialized Clouds.

Mentor junior engineers, fostering a culture of excellence, collaboration, and continuous learning.

Analyze emerging security threats and implement proactive measures to protect users, devices, and cloud workloads in the edge.

Do you enjoy helping customers architect systems, design complex software modules, and solve technical problems? Would you like to do this using the latest cloud computing technologies? Do you have a knack for helping software teams and companies understand application architectures and integration approaches, along with the consultative and leadership skills to launch a project on a trajectory to success? Do you have the passion to learn and experience technology hands-on? Do you enjoy working in a dynamic environment? Are you a team player?

In this role, you will practice your creativity, linking technology to tangible solutions and educating our customers about the art of the possible. You will have the opportunity to define or invent cloud-native reference architectures for a variety of use cases. You will have the support to grow your expertise in industry and technology areas of depth. Every day, you will learn something new from your customers, your peers, and your own experiments.

Key job responsibilities
As a Solutions Architect, you will work directly with customers to accelerate their projects and recommend best-practice architectures in line with their long-term business outcomes.
Educate customers of all sizes on the value proposition of us, and participate in deep architectural discussions to ensure solutions are designed for successful deployment in the cloud.
You will own the technical relationship with the customer and operate as their trusted advisor. The best interests of the customer will shape the guidance you provide.
Share the voice of the customer to influence the roadmap of new features and services for the platform.
Create and capture best practices, technical content, and new reference architectures (e.g., white papers, code samples, blog posts).
Evangelize and educate about our technology (e.g., workshops, user groups, meetups, public speaking, online videos, or conferences).
Contribute to the growth of the Solutions Architecture organization by hiring, coaching, and mentoring others.
Develop areas of depth in technical domains such as: Generative AI and Data Analytics, relevant to your interests and your customers' outcomes.

The Startup Solutions Architecture team is dedicated to working with startup companies as they build their businesses. Were here to help them deploy scalable, secure, reliable, performant, sustainable and efficient architectures - and do that spending as little time and money as possible.

In this role, youll work directly with a variety of interesting customers in various industries which could include AI/ML, HCLS, FinTech, ClimateTech, HCLS and others, and help them make the best (and sometimes the most pragmatic) technical decisions along the way. Youll have a chance to build enduring relationships with these companies, their founders, and establish yourself as a trusted advisor.

As well as spending time working directly with customers, youll also get time to sharpen the saw and keep your skills fresh. We have more than 200 services across a range of different categories and its important that we can help startups take advantages of the right ones. You will act as a customer advocate with our product teams to make sure we are building the right products and features for the startups you work with.

In addition, this role will provide plenty of opportunities to share your knowledge more broadly by working on technical content and presenting at events.

Key job responsibilities
Help a diverse range of startups to adopt the right architecture at each part of their lifecycle.
Support startups in architecting scalable, reliable and secure solutions.
Support adoption of a broad range of our services to deliver business value and accelerate growth.
Support the evolution and roadmap of the platform and services, connecting our engineering teams with our customers for feedback.
Establish and build technical relationships within the startup ecosystem, including accelerators, incubators and VCs.
Develop startup specific technical content, such as blog posts, sample code and solutions, to assist customers solve technical problems and reduce time-to-market.

In this role you'll design and build features that shape how customers discover products - tailored to their preferences, helping them find exactly what they need, even before they know they need it. We're defining how LLMs integrate into real-time personalization, how noisy behavioral signals become durable customer understanding, and how AI-powered experiences ship reliably at scale. You'll work across multiple technical teams, ship iteratively, and see your work in the hands of customers quickly. This organization values experimentation, moves fast, and gives engineers real ownership over what they build.

We are looking for a Software Development Engineer with sound technical judgment and a bias for action who takes ownership of problems end to end, communicates clearly, and cares about operational excellence - not just launching features, but making sure they hold up at scale. Someone who naturally raises the bar for the team: mentoring junior developers, advocating engineering best practices, and thinking beyond the immediate sprint.

Key job responsibilities
- Design, build, test, and operate production AI features used by multiple teams and operating in our scale.
- Deliver end-to-end solutions with focus on maintainability, scalability, performance, and reliability.
- Collaborate with Product and Science to define experiences, run experiments, and iterate based on data.
- Build AI-powered experiences including personalized recommendations, relevance explanations, and knowledge-driven features using LLMs and generative AI.
- Define and implement measurement strategies including analytics events and experiment configurations to track engagement and retention.
- Navigate ambiguity and make sound technical decisions in a problem space where established patterns don't always apply.

The MLIL DataPlane team is looking for a Senior Software Development Engineer to own the design and implementation of our inference data plane. We build the software that makes large models run efficiently on custom hardware - spanning model execution, memory management, data movement, and serving integration.
Our work covers the full inference path: integrating serving engines with custom hardware, developing high-performance compute kernels, enabling efficient data movement, and driving models from early validation through production. We operate at frontier scale with large distributed models.
This is a ground-up effort with rapidly evolving hardware and software. We need a senior IC who can write and optimize low-level code for custom hardware, validate model architectures end-to-end, build test and profiling infrastructure, and drive performance across the stack.

Key job responsibilities
- Develop and optimize compute kernels for a custom ML accelerator architecture, targeting production-level performance for large language model inference.
- Implement and validate LLM architectures (decoder-only, mixture-of-experts) end-to-end - from PyTorch model definition through distributed execution on custom hardware.
- Integrate custom accelerator backends into open-source ML serving frameworks (vLLM, PyTorch), including scheduler extensions, memory management, and model parallelism.
- Build and maintain test infrastructure for model correctness validation across CPU, GPU, simulator, and hardware targets.
- Profile and optimize inference workloads - identify bottlenecks, instrument critical paths, and drive latency and throughput improvements from simulation through hardware bringup.
- Own features end-to-end: from design through implementation, testing, and integration into the broader software stack.
- Contribute to CI/CD pipelines that gate model and kernel changes on correctness and performance regressions.
- Mentor engineers, drive design reviews, and raise the engineering bar across the team.

Come join the Agentic AI science team in building the next generation models for intelligent automation.

We are looking for world class researchers with experience in one or more of the following areas - autonomous agents, API orchestration, Planning, large multimodal models (especially vision-language models), reinforcement learning (RL) and sequential decision making.

We are a Software Embedded Development Engineer to design, develop, and optimize mission-critical embedded software for cloud infrastructure. You will join teams focused on networking, machine learning acceleration, and high-performance computing (HPC), impacting millions of our services globally.

Cutting-Edge Technology: Work on custom silicon (e.g., Graviton, ML accelerators) and innovative networking solutions at the intersection of hardware and software.

Growth & Innovation: Benefit from AWSs resources, mentorship programs, and opportunities to publish technical content.

We are looking for talented engineers to help us develop a semiconductor platform based on a revolutionary architecture.

The Data Path HAL team is looking for an Embedded Software Engineer (Junior), to join us in building the next generation of networking products. Youll have the opportunity to work on the technologies that power the worlds largest cloud provider, in a dynamic, open, fast-paced environment.
Working in both pre-silicon and post-silicon activities defines the Data Path HAL team as a leading team in AWS software development.

In this role you will be leading tasks involving peers from multiple disciplines, while enjoying every step of the journey.
You will have the opportunity to work on the heart of the network engine, at the worlds largest cloud provider, in a dynamic, open, fast-paced environment.

A leading and innovative company in the field of cyber threat intelligence is looking for an experienced Engineering Group Leader to join the executive team and lead the technological development efforts. The role includes managing and building full-stack engineering teams, overseeing architecture and product development, recruiting engineers, defining development processes and technology standards, and driving a tech strategy that supports the companys growth and business goals.

What Youll Be Doing

Lead and manage multiple engineering teams, including team leads and senior engineers.
Mentor, coach, and develop engineers and engineering leaders, fostering a strong growth-oriented culture.
Take end-to-end ownership of delivery, quality, and reliability for your groups products and services.
Translate high-level engineering and product strategy into clear execution plans and milestones.
Collaborate closely with Product Management to plan roadmaps, prioritize work, and align on scope and delivery.
Participate in architectural discussions and contribute to technical and design decisions.
Implement, maintain, and continuously improve development processes (Agile/Scrum).
Play an active role in hiring, onboarding, and retaining top engineering talent.
Work closely with other engineering managers and senior leadership to ensure alignment across teams and domains.

In this role you will develop system level software, targeting chip architecture, functional correctness and performance, running on various platforms and validating chip functionality.

Join a highly skilled engineering team building core storage infrastructure across multiple system layers. You'll develop and enhance frameworks that handle disk image operations, provide unified storage abstractions, and enable cutting-edge virtualization technologies. This role requires both breadth and depth, comfortable working from kernel-level drivers to user-space frameworks, debugging complex multi-layered systems, and collaborating across hardware, kernel, and application teams. You'll participate in all phases of development: architecture, implementation, optimization, testing, and integration with deeply integrated platform features.

Responsibilities:
Develop kernel-level storage components and user-space frameworks for macOS and our other platforms.
Optimize I/O performance, resource utilization, and power efficiency across the storage stack.
Debug and resolve complex issues spanning hardware, firmware, kernel, and user-space boundaries.
Collaborate with cross-functional teams, including hardware, kernel, filesystem, and virtualization engineers.
Write comprehensive test suites, performance benchmarks, and technical documentation.
Contribute to architecture decisions and long-term technical direction for storage systems.

A hands-on engineering role focused on building production-grade AI/ML systems and the automation infrastructure that supports them - driving AI adoption into developer workflows, internal tooling, and domain-specific applications across the organization.

As a member of the AI Infrastructure & Applications team, you will lead the design, development, and production deployment of AI/ML-powered systems alongside the automation infrastructure and developer platforms that support them.
You will architect intelligent, scalable solutions used across the organization - driving AI adoption into developer and automation workflows, internal tooling, and domain-specific applications - while also building and maintaining the automation frameworks and infrastructure those systems depend on.
The systems you build are expected to be production-grade, reliable, observable, and continuously improving.

Responsibilities
Architect and ship end-to-end AI-powered applications and pipelines, from prototype to production.
Build agentic systems, RAG pipelines, and tool-use patterns that integrate LLMs into real workflows.
Define and own AI quality metrics (accuracy, groundedness, hallucination rate, task completion) and integrate them into CI/CD release gates.
Design evaluation frameworks for non-deterministic systems: offline evals, human-in-the-loop review, and automated regression suites.
Harness AI/LLMs to extend and enhance existing automation infrastructure, improving system performance and operational efficiency.
Build scalable automation frameworks, APIs, and tooling used across the organization.
Collaborate with engineering, CI, and domain teams to address automation needs across hardware, software, and cloud.
Distill requirements from a large, diverse user base into generic, reusable, maintainable solutions.
Implement monitoring, drift detection, and structured feedback pipelines for continuous improvement.
Apply rigorous engineering discipline - test design, release criteria, rollback strategies - to AI-native deployments.
Partner with product, design, and domain experts to define use cases, acceptance criteria, and rollout plans.