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Take the lead in unlocking growth potential for both new and existing customers. As a Demand Generation Representative you will be part of shaping the future of how technology is deployed for our customers. The Amazon Web Services cloud platform helps companies of all sizes transform and reinvent their businesses to meet the needs of their customers and communities around the world. From enabling rapid and individually customized cancer treatments to helping Fortune 500 companies meet their carbon emissions goals, the technology stack is the backbone of some of the most innovative solutions to the Worlds most pressing problems. According to Gartner, we are the leading cloud provider, both in terms of ability to execute and completeness of vision. With only 5% of all IT spend in the cloud, we are still in the early stages of what is possible.

Shape the future of how technology is deployed for our customers. Amazon Web Services is growing our Cloud Sales Center (CSC) team to help more companies make the move to us. If you are passionate about cloud technology, sales, and driving meaningful impact to a wide variety of customers, we could be the right fit for your next career move. we offer an innovative environment where you can advance your career through our growing sales organization on a learning and earning path.

Key job responsibilities
* Work with other sales team members to ensure the opportunity is understood and next steps are clearly defined via demonstrations, discovery, and qualification.
* Utilize product knowledge and internal resources that will help you leverage technical skillsets to meet customers needs.
* Achieve all input and output goals including: contacts sourced, leads qualified, customer calls complete, customer meetings, and opportunities created.
* Drive net new business via customer acquisition by leveraging one-to-many and one-to-one outbound campaigns in addition to qualifying inbound opportunities from marketing and partner channels.
* Expand services breadth and consumption within your existing customer base via account planning and territory management.
* Accurately track activity and develop pipeline using a CRM (Salesforce), with the ability to leverage self-service reporting tools.
* Innovate new and creative ways to engage with new customers and expand on existing customer relationships.
* Understand the technology footprint, technical challenges, and business objectives that each one of your customers faces.

Were searching for a Lab Technion Student who will be responsible for the installation, configuration, maintenance, and troubleshooting of our Linux-based server infrastructure, as well as managing various network services and components.

Student will have at least 4 semesters remaining in their degree. The ideal candidate will posses a strong passion for learning new things and the ability to quickly put that new knowledge and skills into practice. You will have the ability to perform basic troubleshooting for hardware, software, and networking issues without guidance.

We are building the first Neuron performance engineering team in Tel Aviv. As a Machine Learning Performance Engineer, you'll help shape the direction of this team from the ground up - profiling and optimizing workloads across the full ML software stack, writing high-performance kernels, and improving the Neuron SDK that external developers depend on. You'll work at the boundary between software and hardware, collaborating directly with compiler, runtime, and chip design engineers to close performance gaps customers care about.

The team is new and small, which means broad scope, direct ownership, and real influence over the technical direction we take. If you enjoy digging into performance bottlenecks and turning analysis into measurable wins, this role is for you.

Key job responsibilities
Design and implement high-performance compute kernels for ML operations, leveraging the Neuron architecture and programming models.
Profile ML workloads end-to-end to identify bottlenecks - memory, compute, or communication - and drive optimizations through to a measured improvement.
Enhance the programming model and tooling that kernel and model developers rely on, improving usability and debugging workflows.
Identify and drive optimization opportunities across the Neuron software stack (compiler, runtime, frameworks).
Document software designs, operational runbooks, and performance findings so the broader team can build on your work.

A day in the life
You might start your morning reviewing profiling data from a customer's large diffusion model training job, tracing a utilization gap back to a specific kernel. After a design discussion with compiler engineers about a new operator fusion strategy, you spend the afternoon writing and benchmarking a kernel prototype. Later, you review a teammate's pull request for a runtime optimization and share your findings in a short write-up for the broader Neuron organization. Your work directly translates into faster model execution and lower cost for AWS customers running ML workloads at scale.

We are seeking a Project Management Team Lead to lead, mentor, and scale a high-performing team of Project Managers. In this strategic role, you will transition our organization from managing individual projects to optimizing our entire Professional Services portfolio - overseeing rigorous delivery governance, balancing long-term resource capacity, and ensuring expected revenue is realized on time. Combining a sharp commercial mindset with hands-on leadership, you will serve as both a strategic pipeline builder and a critical escalation partner, turning high-stakes client challenges into profitable, long-term relationships.
Responsibilities
Lead & Scale: Mentor a high-performing PM team delivering complex, large-scale solutions across diverse market segments (from startups to global enterprises).
Remove Impediments: Act as the ultimate escalation point and catalyst for the team, proactively clearing roadblocks and driving continuous efficiency improvements.
Optimize the Pipeline: Shift the organization from managing individual projects to strategically executing the entire Professional Services portfolio.
Capacity & Revenue Planning: Balance and forecast resource capacity through to project completion to ensure expected PS revenue is realized on time.
Standardize Execution: Establish rigorous delivery governance, ensuring projects strictly adhere to scope, timeline, budget, quality, and technical requirements.
Cross-Functional Alignment: Partner internally with Sales, Customer Success, and Delivery, as well as external technology partners, to ensure seamless project and support execution.
Crisis Resolution: Step into high-stakes client escalations hands-on, using a commercial mindset to rebuild trust and protect long-term partnerships.
Reporting & Risk Mitigation: Lead project review sessions and produce regular progress reports, proactively communicating forecasted risks to internal teams and client decision-makers.

We are looking for an experienced Senior DevOps & Platform Engineer to join our DevOps team and help customers modernize their software delivery platforms, cloud infrastructure, and engineering practices.
This role combines hands-on engineering, software development, platform architecture, and customer-facing consulting. You will work directly with customers to assess their development lifecycle, understand their tooling and processes, and design scalable, secure, and automated solutions that accelerate software delivery and improve developer experience.
Responsibilities:
Design, implement, and maintain cloud-native platforms across AWS, Azure, and Kubernetes environments
Implement and optimize Kubernetes platforms and cloud infrastructure solutions for enterprise customers
Build CI/CD pipelines, GitOps workflows, Infrastructure as Code solutions, and deployment automation
Develop automation, integrations, and platform services using Python, Go, and modern engineering practices
Lead customer discovery sessions, technical assessments, and workshops to understand existing development and operational processes
Interview Development, Operations, Security, and Leadership teams to identify challenges and improvement opportunities
Design target-state architectures, platform roadmaps, and implementation plans
Implement observability, monitoring, logging, and security best practices across customer environments
Deliver technical presentations, workshops, and knowledge-transfer sessions
Contribute reusable automation, documentation, and internal platform assets

We're hiring a hands-on delivery engineer to take Cortex deployments from initial setup through production rollout and keep them running well afterward. You'll own the technical execution of Cortex projects for our customers: standing up the platform, onboarding data sources and endpoints, tuning detections, and building automation playbooks. Once a deployment goes live, you'll also pick up operational issues for it and for other customers.
Responsibilities:
Configure and deploy Cortex XDR, XSIAM, and XSOAR, translating architecture and design decisions into a working environment
Lead endpoint agent rollout, log source and data onboarding, and integration configuration across a customer's security and IT stack
Tune detection rules and correlation logic to reduce noise and align with each customer's environment and threat profile
Build and maintain XSOAR playbooks that automate response actions and reduce manual triage work
Troubleshoot production issues across the platform: agent health, ingestion failures, integration breakage, playbook errors, and detection gaps
Write clear documentation and runbooks
Escalate to Palo Alto support channels when an issue requires vendor involvement, and manage the case through to resolution
Validate a project's technical scope against the signed SOW before kickoff, and flag gaps or risks early

Required Principal/Senior Windows Exploit Researcher (Cortex)
As a Principal/Senior Windows Exploit Researcher, you will be a key member of our Tel Aviv R&D center, responsible for leading research into Windows Anti-Exploit capabilities. You will leverage your top-notch knowledge of the latest exploitation techniques and deep Windows internals to architect and develop the next generation of security protections. Your work will directly contribute to safeguarding our customers from the most sophisticated cyber threats.
Key Responsibilities:
Lead advanced research into novel vulnerabilities and complex exploits targeting the Windows operating system.
Architect, develop, and improve sophisticated anti-exploitation mitigations using low-level OS mechanisms, challenging the status quo with innovative solutions.
Drive the design, evaluation, and implementation of next-generation security technologies from conception to deployment.
Develop proof-of-concept (POC) exploits to validate research findings and test the effectiveness of new and existing mitigations.
Analyze customer escalations to help with detecting and preventing malicious activities in our customers networks
Publish research done internally.

We are looking for a Software Development Student to join us part-time alongside your studies. You will work on real virtual platform models and environments used across the company, writing and testing code, debugging complex hardware-software interactions, and learning how large-scale platforms are designed and brought up from the ground up.

You will be paired with experienced engineers who will mentor you, review your code, and help you grow.

Key job responsibilities
- Develop and maintain simulation models of hardware components, integrate complex platform environments.
- Write clean, well-tested code and participate in code reviews.
- Debug and investigate complex hardware-software interactions.
- Build tools and automation that improve the team's development and validation flow.
- Collaborate with software, hardware, and silicon engineers across the group.
- Available to work part-time (at least 2-3 days per week) alongside studies.

Were searching for sharp engineers to lead cutting edge products, re:inventing super computers and deploy our new SRD (Scalable Reliable Datagram) network protocol into the largest public cloud on the planet! starting from the identification and definition of project requirement, defining SW and HW interfaces, feature development and deployment, to operation support on a very large scale.

We are seeking a Principal Backend Engineer for our Cortex engineering group, focusing on Cortex XSOAR, Cortex XSIAM, and new Cortex AI solutions. In this role, you will design and implement robust backend services for our leading-edge security orchestration, automation, and response platform. You will also contribute to creating innovative AI-based solutions, enhancing shared Cortex infrastructures. This is an exceptional opportunity for those eager to advance Cortex products with AI-driven capabilities and make a significant impact in the cybersecurity industry.
Key Responsibilities
Own the end-to-end backend development of features and components, from design and development to testing, deployment, and maintenance.
Proactively collaborate and exchange information with peers across different teams and disciplines to shape solutions and ensure alignment on product integrations.
Contribute to team-wide efforts including code reviews, design reviews, and architectural decisions, ensuring high-quality and maintainable code.
Apply a production-oriented approach, providing real-time mitigation and effective solutions to production issues to ensure platform stability and reliability.
Challenge curiously and positively by exploring new technologies and methodologies to enhance our backend services and AI capabilities.
The Team:
Engineering - Our engineering team is at the core of our products and connected directly to the mission of preventing cyberattacks. We are constantly innovating - challenging the way we, and the industry, think about cybersecurity. Our engineers dont shy away from building products to solve problems no one has pursued before. We define the industry instead of waiting for directions. We need individuals who feel comfortable in ambiguity, excited by the prospect of a challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment.

The AWS 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 AWS services to deliver business value and accelerate growth.
Support the evolution and roadmap of the AWS 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.

As a Software Test Development Engineer in our team, you will be responsible for the Graviton servers' software quality.
That includes setting up and maintenance of lab and cloud environments, writing test-plans, automating them and troubleshooting issues.
You will take part in designing, developing, and maintaining our automation frameworks and will work closely with developers to ensure the timely delivery of high-quality Graviton servers to our customers.
As a part of this team, you will solve difficult technical problems, work on test frameworks, test tools, and test case automation for large components. You will build and apply solutions that assess and mitigate quality risks on the Graviton servers.

Key job responsibilities
We are looking for exceptional student engineer with a passion to learn how the Cloud is working "behind the curtain".

You will learn about new features of the server, develop automation to qualify them and implement the tests into a Continuous-Integration (CI) environment that run in lab and in the actual AWS Cloud.

In this highly technical position, the Python Software Engineer student will learn scripting abilities in python to write tests to constantly check the functionality of the Graviton servers' software.
Experience coding in python and testing embedded systems while being able to leverage AI capabilities are key to success.

*Make sure to include a grade sheet with your CV, in a single PDF*

Palo Alto Networks is looking for a Senior Software Engineer to join our team responsible for the machine identity and access offering, designing and developing services used as part of Palo Alto Networks' SaaS products.
The team designs and develops services that integrate closely with leading cloud vendors like AWS, Azure, GCP, and many other DevOps services and tools, providing managed access to sensitive assets in the organization.
In this role, you will be using advanced AWS micro-services, with Ruby, Golang, Java and Python through the entire SDLC from planning to production.
The team collaborates with security architects, product managers, and other development teams.
Together we produce complex and advanced solutions that meet the highest security and scalability standards.
We are looking for someone energetic and versatile to join our family and help us achieve our goals.
Design and develop new features using container-based architectures
Research new technologies and platforms
Be a member of a highly talented cross-functional development team of developers, architects, and QA engineers, in an agile oriented environment
Participate in continuous and iterative engineering cycles, emphasizing code quality, supportability, scalability, and performance.

Palo Alto Networks is looking for a Senior Software Engineer to join our team responsible for the machine identity and access offering, designing and developing services used as part of Palo Alto Networks' SaaS products.
The team designs and develops services that integrate closely with leading cloud vendors like AWS, Azure, GCP, and many other DevOps services and tools, providing managed access to sensitive assets in the organization.
In this role, you will be using advanced AWS micro-services, with Ruby, Golang, Java and Python through the entire SDLC from planning to production.
The team collaborates with security architects, product managers, and other development teams.
Together we produce complex and advanced solutions that meet the highest security and scalability standards.
We are looking for someone energetic and versatile to join our family and help us achieve our goals.
Design and develop new features using container-based architectures
Research new technologies and platforms
Be a member of a highly talented cross-functional development team of developers, architects, and QA engineers, in an agile oriented environment
Participate in continuous and iterative engineering cycles, emphasizing code quality, supportability, scalability, and performance.

We're looking for a Senior DevOps Engineer with a strong Developer Experience (DevEx) mindset, someone who genuinely enjoys making developers more productive by building and improving the tools, infrastructure, automation, and workflows they use every day.
You will work across CI/CD, developer tooling, automation, infrastructure, observability and productivity. Your primary focus will be making development and delivery faster, simpler, more reliable, and more cost-effective.
We need someone who can independently identify developer pain points, proactively discover opportunities for improvement, and turn them into scalable engineering solutions. You will be expected to measure the impact of your work and continuously improve critical metrics such as CI feedback time, pipeline reliability, deployment time, infrastructure cost, and overall developer productivity.
This role is a perfect fit for someone who thinks far beyond just "keeping the infrastructure running" and is excited about revolutionizing the entire engineering experience.
Your Impact:
You will tackle high-impact engineering challenges across our platform. Representative areas you will own and work on include:
Optimize CI/CD Pipeline Velocity & Stability
Improve CI Stability: Leverage AI to automatically detect recurring test failures, dynamically disable problematic tests, and open Jira tickets for follow-up.
Automate Workflows: Utilize AI to automate merge conflict resolutions and keep the merge train moving smoothly.
Accelerate CI Velocity: Architect workflows to parallelize work both across jobs and within jobs. Introduce highly effective caching strategies and local Artifactory mirrors to drastically reduce build and dependency-fetch times.
Optimize CD: Reduce container image sizes and accelerate deployment times. Partner with QA to introduce and streamline automated regression testing against tenants.
Drive Repository Security & Maintenance
Improve Security Posture: Automate the identification and remediation of Go and Python dependencies with known CVEs.
Automate Maintenance: Design systems to automatically handle Go and Python version upgrades across the codebase.
Ensure Performance: Automate performance testing to proactively detect and alert on performance regressions before they hit production.
Cloud Infrastructure & Cost Engineering
Reduce Infrastructure Costs: Identify and implement innovative opportunities to reduce overall infrastructure and resource consumption.
Resource Efficiency: Introduce mechanisms to make our "slim tenants" even more resource-efficient for development and testing.
Smart Observability: Re-architect our logging strategy by streaming GCP logs to more cost-effective sinks instead of relying exclusively on Cloud Logging.
IaC Governance: Act as a gatekeeper for infrastructure quality by reviewing Terraform Merge Requests (MRs) for correctness, efficiency, maintainability, and strict adherence to engineering standards.