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We are looking for a passionate and experienced Software Engineer to join our Networking Group.
In this role, you will play a key part in developing our cloud-based, proprietary networking and security management solutions.
You will also design and implement highly scalable processes for gathering and analyzing real-time network statistics, events, and large-scale data.
Responsibilities:
End-to-end backend development: from processing large-scale data to designing efficient microservices.
Develop and enhance high-performance, scalable services.
Improve the reliability, security, and scalability of existing infrastructure.
Work closely with cross-functional teams including Product, Data, Security, and UX.
Research and adopt new technologies to improve our products.

We're looking for an experienced Software Engineer to join our Data Platform Group. In this key role, you will build the company data platform: cloud-based microservices and data pipelines that process on the order of 1M records/sec at low latency. Because the platform is the foundation other groups build on, your work has a direct impact on our customers and enables engineering, product, and research teams across the organization.
The Lakehouse team owns the data itself - how it is stored, organized, retained, and served. We own our analytical storage layer, the batch processing built on top of it, and the APIs through which customers and the rest of the company consume data. If you enjoy the problems that only appear at petabyte scale - physical data layout, query performance, storage cost, and retention - this is the role.
Responsibilities:
End-to-end ownership of our large-scale analytical storage layer: data modeling, schema and table design, partitioning, retention, and query performance.
Design and develop the batch processing layer over our data lake using Spark on EMR (Java and PySpark).
Build and evolve Java/Spring Boot services that expose our data through well-defined APIs to customers and to consumers across the company.
Own performance and cost: query optimization, file layout and compaction, cluster sizing, and storage efficiency at scale.
Research new technologies in the lakehouse and analytical-storage space and adapt them for use in our product.
Work closely with product, DevOps, and security teams.

We're looking for a bright and passionate Senior Software Engineer to join our Endpoint Data Protection team. In this critical role, you will design, develop and maintain core components of our endpoint clients running on Windows and Mac, used by hundreds of thousands of users worldwide, across households and enterprise environments. You will help take our clients to the next level - building new low-level capabilities at the heart of how people move, share and protect their files, devices and network traffic. The scope is broad and the room to grow is real: ownership and technical leadership scale with you.
Responsibilities:
Developing core low-level components for our clients on Windows and Mac
Researching new technologies, including ways to use AI to accelerate engineering and product capabilities
Taking ownership on new features and leading collaborative efforts end to end
Supporting the entire application lifecycle, including release management and supporting production
Collaborating with quality assurance, technical support, product management and other engineering teams to deliver integrated features

We are looking for a Software Engineer to join the Research & Infrastructure team in our Security Research group.
You'll build the systems behind our security research and help turn that research into product capabilities. You'll work closely with researchers across the group to understand what they need, and you'll own each solution from requirements and architecture through implementation and delivery.
Our team builds platforms for threat intelligence, malware hunting and attack analysis, along with scalable pipelines for processing large volumes of data. AI tools are part of how we design, build, test and research every day.
Responsibilities:
Own the full development lifecycle of systems and applications: gather requirements, define technical specifications, design the architecture, and build backend services and web interfaces.
Build threat intelligence, malware hunting and attack analysis platforms that support our security operations and its Managed Threat Detection & Response (MDR) service.
Build tools that let researchers investigate threats, develop security content and create detection signatures.
Design the workflows and infrastructure that bring research outputs into our customer-facing products.
Build scalable data processing and analysis solutions on the Cloud data warehouse, automate protocol analysis, and integrate with internal and external services.

We're looking for a hands-on Agentic AI Engineer to build practical, high-impact AI solutions for our Product Support organization.
This is not a research role. You'll design and ship real AI systems that improve support workflows and processes - building custom solutions where off-the-shelf tools fall short. The role also requires close collaboration across teams: aligning with different stakeholders' needs and priorities, and building strong, ongoing partnerships across the organization.
Responsibilities:
Partner directly with business teams to identify automation and optimization opportunities
Design and implement agent-based AI workflows to automate internal processes end-to-end
Design and build LLM-powered tools (agents, workflows, copilots) using frameworks like LangGraph / LangChain
Develop RAG pipelines, integrate multiple data sources, and build intelligent automation flows
Deep-dive into company data - validate quality, uncover gaps, and ensure AI solutions are built on solid foundations
Take solutions from idea → prototype → production
Governance, Reliability & Security
Ensure AI workflows comply with security, privacy, and compliance requirements
Implement guardrails, approvals, logging, and human-in-the-loop mechanisms where needed
Monitor AI performance, errors, hallucinations, and drift
Collaboration & Enablement:
Partner with business owners to identify automation opportunities
Translate business requirements into AI-driven solutions
Document AI flows, decision logic, and operational runbooks
Educate internal teams on AI capabilities and limitations.

As a Senior SDE III on the Elastic Compute team, you work where silicon meets software - your decisions ripple across millions of EC2 instances and shape the performance, security, and cost efficiency of the AWS compute platform. A day might start by root-causing a fleet-wide latency anomaly across the full stack, from the hypervisor and Nitro offload path down to firmware; move into owning the architecture for a multi-year initiative and leading the design review where the hard questions about scale, failure domains, and safe fleet-wide rollout get asked - often co-designed directly with silicon and hardware partners; and end deep in a low-level C/C++ or Rust change, a down-to-the-instruction performance investigation, or twenty minutes pairing with a newer engineer because raising the bar around you is part of the job, not a distraction from it. The systems you build run continuously, at massive scale, with little tolerance for error - so a great day ends with something shipped or a hard problem genuinely understood, knowing your work will be quietly running in data centers around the world tomorrow.

We are looking for talented engineers to join the Pre-silicon Verification team and help us technically lead the challenges of the next decade, developing a semiconductor platform based on revolutionary architecture, and taking part in the development of cutting-edge products within a disruptive system architecture.
Youll have the opportunity to work on the technologies that power the worlds largest cloud provider, in a dynamic, open, and fast-paced environment.

We are seeking an exceptional Applied Scientist to join our Prime Video Sports personalization team in Israel. Our team is dedicated to developing state-of-the-art science to personalize the customer experience and help customers seamlessly find any live event in our selection. You will have the opportunity to work on innovative, large-scale projects that push the boundaries of what's possible in sports content delivery and engagement. Your expertise will be crucial in tackling complex challenges such as information retrieval, sequential modeling, realtime model optimizations, utilizing Large Language Models (LLMs), and building state-of-the-art complex recommender systems.

Key job responsibilities
We are looking for an Applied Scientist with domain expertise in Personalization, Information Retrieval, and Recommender Systems, or general ML to develop new algorithms and end-to-end solutions. As part of our team of applied scientists and software development engineers, you will be responsible for researching, designing, developing, and deploying algorithms into production pipelines. Your role will involve working with the latest technologies in recommender systems and search.

You'll also tackle unique challenges like temporal information retrieval to improve real-time sports content recommendations. As a technologist, you will drive the publication of original work in top-tier conferences in Machine Learning and Recommender Systems. We expect you to thrive in ambiguous situations, demonstrating proven analytical abilities and comfort in collaborating with cross-functional teams and systems.

The ideal candidate is a self-starter with the ability to learn and adapt quickly in our fast-paced environment.

As a System Verification Software Engineer, you will join a unique team that works at the heart of chip development, at the HW/SW boundary, collaborating across teams to ensure our semiconductor platforms meet the highest standards before they reach production, as we lead the market with our cutting-edge devices.
Youll be part of a team that verifies Graviton chips across emulation, silicon, and AWS production fleets-developing the tests, automation, and debug tooling that give us confidence our features function correctly on real hardware.

Key job responsibilities
* Verify and validate Graviton chips in emulation, silicon, and post-production.
* Develop tests that ensure our features function as intended.
* Build automation and debugging tools for silicon regressions and bring-up.
* Collaborate with hardware design and software teams to identify, analyze, and resolve design issues and verification gaps.
* Debug failures across diverse platforms (emulation and silicon).

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 Amazon 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 are seeking a software engineer with a passion, knowledge, and experience for taming, training, and controlling LLM and ML models, for diverse use cases and users. In this role, you will take part in all the steps of shipping GenAI, from idea to enterprise-grade solution, across all stages of the product development lifecycle.

Responsibilities:
Get deeply acquainted with a problem domain, investigate and prototype technologies and architectures for an adequate solution
Collaborate with product and engineering teams to translate customer-facing features into detailed product specifications and solution design
Build GenAI-powered applications/agents from the ground up - from data collection and model training to deployment and production monitoring
Conduct experiments and model evaluations, analyze performance metrics, and iterate rapidly to maximize accuracy and effectiveness
Develop and propagate best practices, including reusable tools or frameworks, to ensure robust and maintainable GenAI engineering
Stay updated with emerging trends and advancements in AI - including new models, frameworks, and techniques - and bring forward innovative ideas for their adoption

we are seeking a talented Backend Engineer with deep expertise in server-side development and a passion for building scalable, high-performance systems and services. In this role, you will design and maintain robust data analysis and reporting services that serve as the backbone for our innovative data governance platform, ensuring seamless monitoring and reliability of entire customer financial data.

Responsibilities:
Design and develop backend systems using Python to support data processing and governance.
Architect, implement, and manage cloud infrastructure on AWS (e.g., EC2, S3, RDS)
Collaborate with full-stack teams to integrate backend services into the platform seamlessly.
Optimize systems for performance, scalability, and reliability
Maintain code quality and organization through best practices and thorough code reviews.
Contribute to Agile development processes and support continuous integration/deployment pipelines.
Monitor and troubleshoot system performance, ensuring minimal downtime and high availability.

As a Senior Backend/Frontend Developer , youll play a crucial role in shaping the technical direction of our platform. Youll be a key contributor to our backend architecture, ensuring scalability, security, and performance, while also contributing to the frontend user experience using React. Youll work closely with a talented team of engineers, product managers, and designers to deliver solutions that directly impact peoples lives and support our growing user base. This role offers the potential to grow into a Tech Lead position.

Were looking for a passionate and experienced developer who thrives in a fast-paced startup environment, takes ownership of challenges, and is excited about using technology to make a real-world impact, particularly in the mental health space.

Our Stack: Node.js, ReactNative, React, Redis, AWS, PostgreSQL, Typescript.


Responsibilities:
Backend Development:
Design, develop, and maintain robust, scalable, and secure backend services using Node.js and Typescript.
Contribute to the architecture and evolution of our platform, ensuring it meets current and future requirements.
Optimize backend performance and identify/resolve bottlenecks.
Develop and maintain RESTful APIs and integrate with various services.
Work with databases (PostgreSQL, Redis) to ensure data integrity and performance.
Contribute to the integration of AI models and services into our backend infrastructure.


Frontend Development:
Develop and maintain user interfaces using React native.
Collaborate with designers to implement UI/UX designs.
Ensure the frontend is performant, accessible, and user-friendly.
Write clean, well-documented, and testable code.

We are looking for a Research Engineer - Device Physics to join our team and to support our meaningful growth.

What Will You Do?

Testing and characterization: Planning experiments, writing test codes, using standard testing equipment and dedicated test equipment, performing experiments, analyzing data and drawing conclusions and recommendations
Data Analysis: Collect, process and analysis of raw data from our MEMS devices, implants and other inputs, including data from various points in the production process and field deployments
Modeling: Build empirical and theoretical models based on experimental data and physical models, device physics research, interface with Algo team for drift mitigation based on those models. Develop deep understanding of Left Atrium Pressure measurement system, based on those models and recommend system improvements
Heat transfer Perform thermal FEA and analytical models to the system (implant and external electronic unit) and conduct experiments to verify those analytical and numerical models
Failure Analysis, reliability and burn in: Investigate and diagnose any anomalies or failures in the ASICs, MEMS devices and systems (implant and external electronic unit) by running tests, analyzing data, identifying root causes, and proposing corrective actions. Runing reliability and burn-in tests on the device in its different life cycle points (Device, ASIC, Open implant, final implant, and integrated system which includes implant and external electronic unit)
Performance Optimization: Collaborate with cross-functional teams to optimize performance based on data-driven insights, contributing to product enhancements and reliability improvements
Reporting: Create comprehensive reports and visualizations to communicate findings, insights, and recommendations to stakeholders, including engineering teams and management

We are seeking a sharp, execution-oriented Project Manager for Field Operations and Execution with a proven track record of managing on-site battery energy storage system (BESS) construction end-to-end.

This role is not focused on design consultancy or upper-level supervisory advisory, but on hands-on operational and field execution leadership - managing contractors on-site, controlling schedules, solving real-time field problems, and coordinating all stakeholders on the ground.

Responsibilities
Full On-Site Management & Supervision: Lead the construction execution of BESS sites, represent the company directly in front of main contractors and subcontractors, and enforce strict adherence to schedules, quality standards, and operational guidelines.

Pre-Construction Field Input: Conduct site surveys and provide operational and practical execution inputs during the planning phase.

Work Plan Formulation & Control: Derive project timelines, set operational priorities, and continuously monitor on-site crews and subcontractors.

Deep-Dive Project Control: Track daily progress across all projects, proactively identify bottlenecks, and resolve field delays at the highest level of detail.

Interface & Stakeholder Synchronization: Lead site status meetings, drive the systematic closing of Punch Lists, and clearly delineate responsibilities among planning teams, field crews, and subcontractors.

System Tracking: Maintain real-time task management, documentation, and progress tracking within Jira and project management software.