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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 at 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.

We're looking for an exceptional senior Chip Design Engineer to join our Nitro team and help shape what comes next. You'll work alongside a world-class, fast-moving engineering team, take full ownership of critical IP blocks, and see your work deployed at a scale no other platform can match- powering hundreds of thousands of businesses across 190 countries.

As a Senior Chip Design Engineer on the Nitro team, you will take full end-to-end ownership of one or more critical IP blocks within the product, guiding them from micro-architecture definition through RTL design, debug, synthesis, timing closure, and final sign-off before tape-out. Your work will ship in silicon that powers AWS at global scale.
You'll partner closely with the Verification and Emulation teams to shape test plans, review coverage, and close gaps early in the design cycle. Beyond your own IP, you'll collaborate across disciplines with Product Definition, Software, Physical Design, and Verification teams to deliver a fully integrated, production-ready chip.

Key job responsibilities
Full ownership of one or more IPs within the product:
Micro-architecture definition.
RTL coding and debug.
Synthesis and timing closure.
Sign-off before tape-out.
Supporting the Verification and Emulation teams: Test plan development, coverage review.
Ensuring the chip meets quality and reliability standards.
Collaborating with cross-functional teams, including Product Definition, Verification, Software, and Physical Design.

We are looking for talented Engineers to join our Virtual Platforms team.
Virtual platforms play a crucial role in accelerating the development process by enabling early Software development, System-Level testing, and architectural exploration without the constraints of physical prototypes.

Key job responsibilities
As a Virtual Platform Engineer, you will:
Develop accurate and efficient simulation models of hardware components.
Create and maintain Virtual Platform environments for software development and system-level validation.
Debug and optimize complex hardware-software interactions.

This role requires strong communication skills and a collaborative mindset, as you'll frequently interact with various teams across AWS to deliver optimal solutions.

The Data Path HAL team is looking for an experienced Embedded Software Engineer, 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.

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.

We are looking for a software development engineer for the storage- and durability-focused data plane group that owns core EBS logic and contributes to a broad and strategic set of projects. You will be part of a team of engineers that develop and maintain the components enabling EBS storage, high durability and performance.

Key job responsibilities
You will collaborate with and learn from the industry's best minds to solve interesting and challenging problems at an enormous scale on a daily basis. This collaboration extends beyond just the team in EBS. You will have the opportunity to work with many other teams in AWS to build a secure, performant, and reliable system.

The WWSO AI Infrastructure team is the go-to partner that delivers the architecture, deployment, and optimization guidance required for self-managed workloads. The ideal candidate must be self-motivated with a proven track record of customer obsession and delivering results. The ability to connect technology with measurable business value is critical. You should also have a demonstrated ability to think strategically about business, products, and technical challenges in AI.

Key job responsibilities
- Own and execute the AI Infrastructure go-to-market strategy for Israel, driving pipeline creation, deal progression, and revenue attainment across EC2 accelerated compute, Amazon EKS for AI workloads, and Amazon SageMaker HyperPod and Inference.
- Identify, engage, and win high-value AI infrastructure customers-including model producers, AI-native startups, and enterprises building domain-specific AI solutions across industries such as financial services, healthcare, manufacturing, and telecommunications.
- Develop and execute account-level strategies for priority customers running or evaluating large-scale AI training and inference workloads, positioning us as the platform of choice.
- Execute strategic partner co-sell motions with key ecosystem players including NVIDIA, open-weight model providers (e.g. Meta, Mistral), and inference framework communities (vLLM, Ray, Anyscale).
- Collaborate with consulting and systems integration partners to enable AI infrastructure best practices and drive joint customer engagements
- Lead scaled GTM motions including developer community engagement, customer roundtables, workload assessments, and regional campaigns that position our AI infrastructure leadership
- Aggregate voice-of-customer feedback on capacity, performance, pricing, and feature requirements-working with our service teams to influence product roadmaps and regional infrastructure investments
- Contribute to EMEA-wide AI Infrastructure initiatives beyond your primary region, collaborating with peers across France, Germany, UKI, and the Nordics on strategic programs and high-value opportunities

The Data Engineering team is a cross-functional team responsible for data integration, monitoring, and quality. This includes automating data flows, alerting, fetching, and checking across various stages of data transformation and projection.
Key Responsibilities
Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
Develop data architecture for data ingestion, validation, and processing.
Identify, design, and implement process improvements, such as automating manual tasks, optimizing data delivery, and redesigning infrastructure for enhanced scalability.
Create and maintain optimal data pipeline architecture using microservices.
Work with other members of the data team, including data architects, data analysts, and data scientists.
Key Takeaways
Use the tools and languages that are best suited to the job - Complete flexibility to problem-solving with novelty and creativity encouraged.
Be around very bright and lovely people.
Your intellectual curiosity and hard work contributions will be welcome to our culture of knowledge sharing, transparency, and shared fun and achievement.
Provide education and documentation to empower team members to make the most of technical resources.
Contribute to our software engineering culture of writing correct, maintainable, elegant, and testable code.
Utilize AWS services and tools such as S3, EventBridge, Athena, and DynamoDB to build a robust and scalable data architecture for data ingestion, processing, and storage.
Collaborate on data infrastructure that supports LLM-driven workflows - leveraging tools like Cursor to accelerate code development, enhance reproducibility, and streamline iteration on intelligent systems.

We are looking for a hands-on Senior DevOps Engineer with a strong cloud-native mindset to build, maintain, and evolve our highly scalable, highly-available cloud infrastructure. This role is pivotal in driving operational excellence, security, and automation across our entire engineering organization. You will promote communication, integration, and collaboration to significantly enhance our software development productivity and reliability. You'll work closely with engineering and product teams to streamline delivery, enforce platform standards, and enable a high-velocity development environment-all while keeping reliability and security top of mind.
Responsibilities
Design, Automate, and Manage complex cloud infrastructure on AWS using best-in-class Infrastructure as Code (IaC) practices.
Lead the operation and enhancement of our production Kubernetes environments (EKS), focusing on automation, security, observability, and seamless CI/CD integration.
Drive continuous improvement across platform tooling, developer experience, and operational processes to meet our ambitious performance and uptime goals.
Implement and enforce security-first infrastructure patterns, including strong IAM, network segmentation, and secure secrets management.
Actively contribute to high-level technical design discussions and cross-functional architectural decision-making, ensuring solutions align with long-term platform strategy.

Were looking for an experienced and passionate Software Engineering Team Leader to join our Elastic WAF group - the group behind most strategic and modern next-generation WAF product lines within the AppSec organization.
The Foundation team builds the core infrastructure that powers these products. The team is responsible for developing the foundations of new Cloud-Native and SaaS WAF solutions, designed for simple, fast, and DevOps-friendly onboarding and installation. These products deliver best-of-breed security through a modern, scalable architecture and seamless operational experience.
If youre passionate about leading talented engineers, designing scalable systems, and shaping the architecture of cutting-edge security products, wed love to meet you.
Key Responsibility:
Lead a team of 4 skilled developers focused on building and maintaining core components, shared services, and developer tooling.
Lead distributed system design decisions and continuously improve system performance, maintainability, and technical standards.
Design and evolve scalable, multi-tenant SaaS architecture and cloud-native platform services (microservices, APIs, event-driven systems).
Be hands-on with architecture and development in Java, Go, and Kubernetes.
Drive cross-team initiatives that improve development efficiency, reliability, and scalability.
Act as a mentor and coach to help team members grow professionally and technically.
Collaborate with engineering leads and product stakeholders to set technial direction and priorities.
Champion innovation, transparency, and a strong engineering culture.
Ensure reliability and operational excellence, implementing observability (metrics/logs/tracing) and strong incident response practices.

we are seeking a Business Analyst to join our growing Global Services Group. In this role, you will collaborate closely with customers to understand their business needs, translate them into actionable product solutions, and help deliver real value through the platform.
This is a unique opportunity to join a dynamic, fast-growing team where youll play a key role in shaping the Business Analyst function.
Youll leverage your analytical mindset, technical understanding, and communication skills to drive successful customer outcomes and contribute to a high-performing team culture.
people come first. We believe in teamwork, trust, and empowering our employees to grow, learn, and reach their full potential.
What Youll Do:
Analyze customer use cases and translate them into actionable product recommendations and configurations
Present solutions, demos, and detailed documentation to customers
Facilitate business requirement gathering sessions with global customers
Lead business discussions to define, refine, and prioritize customer needs
Support integration scenarios between and third-party technologies
Conduct ongoing data analysis to identify optimization opportunities and improve use cases
Reproduce customer scenarios to identify product gaps and contribute to feature enhancements
Provide knowledge transfer and training to customers and internal teams

We are seeking a highly motivated and qualified Analytical Chemist for a temporary maternity leave replacement position with a strong passion for laboratory work. As part of our CMC team, you will play a central role in the chemical characterization of our products by developing and implementing analytical methods to identify and quantify both known and novel plant-derived compounds.
You will work closely with multidisciplinary teams - including QA/QC, Regulatory Affairs, Tech, and Clinical - to support drug development activities and regulatory submissions, including FDA approval of inhalation technology.
Key Responsibilities:
Operate, maintain, and troubleshoot analytical instruments such as GC/MS, UPLC, and Karl Fischer titrators.
Perform routine and non-routine chemical analyses.
Develop, optimize, and validate analytical methods.
Write and execute protocols related to method development and validation.
Contribute to the preparation of regulatory documentation for drug development submissions.
Support ongoing and future research and development initiatives.
Collaborate effectively with cross-functional teams to advance project goals.

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.​ ​

At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we pioneered the world's first fully automated suite of AI-powered vehicle inspection systems, combining computer vision, machine learning, and generative AI. With over $380M in funding and strategic partnerships with Toyota, Amazon, General Motors, JLR, Volvo, and Hertz, our technology is deployed across manufacturing plants, dealerships, wholesale auctions, fleets, and seaports worldwide. Named one of Fast Company's Most Innovative Companies of 2026, our 300+ global employees are solutions-oriented, accountable, and driven by one shared goal: making roads safer for everyone.
We are looking for an experienced Data Engineering Team Leader In this role, you will lead and strengthen our Data Team, drive innovation, and ensure the robustness of our data and analytics platforms.
?A day in the life and how you’ll make an impact:
* Drive the technical strategy and roadmap for the data engineering function, ensuring alignment with overall business objectives.
* Own the design, development, and evolution of scalable, high-performance data pipelines to enable diverse and growing business needs.
* Establish and enforce a strong data governance framework, including comprehensive data quality standards, monitoring, and security protocols, taking full accountability for data integrity and reliability.
* Lead the continuous enhancement and optimization of the data analytics platform and infrastructure, focusing on performance, scalability, and cost efficiency.
* Champion the complete data lifecycle, from robust infrastructure and data ingestion to detailed analysis and automated reporting, to maximize the strategic value of data and drive business growth.

We are seeking a highly skilled and motivated Back-End Software Developer to join one of our fast-growing, forward-thinking development teams.

What is the job:

Our Cloud team is responsible for developing and maintaining the core services that orchestrate, monitor, and analyze our attack mitigation and cloud cybersecurity solutions.

The application includes robust analytics, operational dashboards, and advanced forensics and reporting tools-providing deep visibility and control for our customers.

We are looking to hire a Senior QA Automation Engineer to join our team at this exciting stage of our companys growth.
What Youll Do:
Architect & Build: Lead the design of automation frameworks focusing on Component Testing and E2E flows.
Cloud Integration: Orchestrate automated test environments that deploy our services onto AWS using Docker (and ideally K8s).
Pipeline Ownership: Fully integrate test suites into our GitHub Actions CI/CD pipelines.
Strategy & Mentorship: Create comprehensive test plans and mentor junior/mid-level team members on automation best practices.
API Excellence: Maintain and expand our Rest Assured API automation suite.