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We are seeking a Senior Backend Engineer - Data Platform to join our expanding team and play a crucial role in designing, building, and maintaining robust and scalable data pipelines and infrastructure. In this role, you will directly enable data-driven decision-making and support the development and deployment of AI/ML products that power Health.

Youll collaborate closely with engineering, product, and data science teams to ensure our data systems are high-quality, resilient, and scalable as we grow. As a Senior Backend Engineer on our Data Platform team, you will drive efforts to deliver reliable, efficient, and consistent data services across the organization. You will also help enable the rapid development and deployment of advanced features, insights, and AI-driven capabilities that improve outcomes for clinicians and clients.

Who are you?
You are a seasoned backend or data engineer with experience working on production-grade ML/AI-powered products. You thrive in fast-paced, high-ownership environments and are passionate about building scalable and reliable systems. You understand the unique requirements of delivering AI/ML features in production, and you are comfortable working with modern technologies in the LLM/RAG ecosystem.
You pride yourself on delivering high-quality solutions quickly, without sacrificing design or reliability. Youre known for your responsiveness, collaborative spirit, and service-oriented mindset-especially when youre on-call and the stakes are high.How will you contribute?
Design, implement, and maintain scalable and reliable data pipelines and backend systems supporting both operational and analytical needs, with a focus on ML/AI product enablement.
Ensure data processing is optimized for speed, efficiency, and fault tolerance, enabling seamless integration with AI/ML workflows and reliable performance across all our Health products.
Monitor and improve uptime, reliability, and observability of our data infrastructure and pipelines.
Build and maintain systems to ensure data quality, consistency, and usability across the organization, enabling advanced analytics and AI solutions.
Work closely with product and engineering teams to deliver new features rapidly and with a high standard of technical excellence.
Drive innovation in how we build, measure, and optimize data features, backend services, and AI product integrations.
Participate in on-call rotations with a service-oriented approach and fast responsiveness.
Lead scalability efforts to support increasing data volumes, expanding AI/ML initiatives, and new product launches.

Required xEngineer
the company makes it possible for anyone to succeed online. since 2006, weve grown to 5,000 employees in 17 countries, launched over 40 products, and serve over 230 million users and their visitors worldwide. here, we push you to innovate, evolve in non-traditional ways, and grow outside your comfort zone. we operate in small teams that work closely together to create incredible things. although were already industry leaders in web creation and business, our work is nowhere near done. our goal is to become the main engine of the internet so we can create a more open web for all. we believe solving complex problems starts by building strong infrastructure and platforms supported by engineers working with cutting-edge technology. as a dev-centric company, we rely on testing, implementing smart feedback loops, measuring impact, and using fail fast methodologies to keep our high-scale traffic and advanced products in constant progress with a 99.99% uptime.
as a backend xengineer, youll design and own the core systems that impact millions of users, working with an ai-native focus to craft high-performance backend architectures and scalable, reliable platforms. in your day-to-day, you will:
design and own end-to-end backend systems and features that impact millions of users
focus on backend architecture and system design, making thoughtful trade-offs around scalability, reliability, security, and maintainability
take full ownership from data models and apis to production systems and distributed architectures
use ai as an integral part of your daily work-for planning, design, execution and production, while ensuring ai-assisted outputs meet the highest production standards
work with modern technologies (e.g., JAVA, scala, Node.js, cloud, and ci/cd) while continuously evolving your toolkit with ai-powered tools
collaborate closely with product managers, designers, and engineers to shape solutions while ensuring production quality, observability, and long-term system health
here, we believe our best work happens together. our work model is fully in person, with 5 days a week from our office. flexibility remains a core value at the company and special requests are handled thoughtfully at the team level.
we are the company's backend xengineering group - a team of xengineers who specialize in backend development. we provide integrated tools for microservice development to improve Developer productivity and best practices. as xengineer, we use ai-native workflows that allow us to concentrate on what truly requires human judgment: system architecture, security, and scalability. to handle high-scale traffic, our team runs production across distributed data centers worldwide. we take complete ownership of our systems, and maintain the deep expertise required to manage a global engine of the internet.

we are looking for an AI Platform Engineer to revolutionize engineering productivity and drive AI-powered innovation across the organization. This role is part of our Platform Engineering initiative, focused on enabling engineers and product teams with cutting-edge AI tools, intelligent automation, and scalable AI platforms.
If youre an innovator at heart, passionate about applying AI to solve complex engineering problems, and thrive in an environment that values experimentation, ownership, and entrepreneurship-this role is for you.
Responsibilities
Develop and integrate AI-powered solutions that enhance engineering productivity, automate workflows, and improve developer efficiency across the organization.
Evaluate, prototype, and implement state-of-the-art AI platforms using latest models and frameworks (e.g., ChatGPT, Claude, Gemini, LangGraph, Librechat, AWS Agentcore Bedrock) to address engineering and operational challenges.
Design, build, and maintain AI-driven internal platforms, including knowledge management systems, AI-enhanced coding assistants, intelligent automation tools, and AI-powered chatbots.
Collaborate closely with engineering, DevOps, and product teams to embed AI capabilities into everyday development workflows.
Lead Proof-of-Concept (PoC) initiatives, experimenting with LLMs, generative AI, and automation frameworks to deliver tangible business impact.
Research emerging AI trends, tools, and models, and translate them into practical, production-ready solutions.
Build and operate scalable AI infrastructure that integrates with cloud environments and existing engineering toolchains.
Promote a culture of innovation by empowering teams to adopt AI-driven solutions and sharing knowledge and outcomes across the organization.

we are revolutionizing maritime operations with cutting-edge computer vision, augmented reality, and autonomous technologies. Our mission is bold: make ocean shipping safer, more efficient, and significantly greener.
From real-time navigation assistance to AI-driven insights that reduce fuel consumption and prevent collisions, were building a future where ships sail smarter. Join our growing team and help shape the next generation of intelligent maritime systems used by leading fleets across the globe.
The Role
Were looking for a Senior Software Engineer with a passion for solving tough technical challenges, working across the stack, and building systems that matter. This is your opportunity to work on an advanced, real-world product involving computer vision, edge computing, and scalable cloud architecture.
What Youll Do
Design and implement robust, scalable components across the software stack.
Take end-to-end ownership of complex features-from concept to deployment.
Collaborate with product managers, system engineers, and AI researchers to build integrated solutions.
Contribute to a high-performance platform that combines real-time sensor data, video analytics, and cloud services.
Build and maintain CI/CD pipelines and automated test frameworks.
Lead with quality-writing clean, testable code and applying TDD principles.
Mentor teammates, share knowledge, and help set best practices across the team.

We are looking for an experienced Full-Stack Engineer with strong backend expertise to join our growing Sales R&D team in Tel Aviv. This is a backend-leaning role focused on building and maintaining high-performance systems while contributing across full-stack services. As part of our team, youll drive the evolution of our Sales platform, take end-to-end ownership of impactful features, and contribute to an AI-first engineering culture that embraces automation, intelligent tooling, and continuous improvement. You will play a key role in improving product quality, engineering productivity, and system reliability as we support rapid business growth.
Responsibilities:
Design and deliver end-to-end features across backend services and frontend applications, with strong emphasis on backend architecture, data integrity, and system reliability.
Develop and maintain SPA web applications for admin and product platforms using React + TypeScript and Next.js, including contributing to the modernization of legacy Ruby components.
Develop and maintain backend services across Python (FastAPI) and Node.js (NestJS) microservices, ensuring strong performance, robust data management, and ongoing modernization efforts.
Design, implement, and maintain reliable REST APIs with clear contracts, validation, and consistent error handling.
Work with complex relational data models, continuously improving query performance and data reliability.
Lead investigations and root-cause analysis for performance, optimization, and production-related issues, driving long-term improvements.
Collaborate closely with frontend, backend, QA, and product teams in a multi-repo environment, including active code reviews and cross-site collaboration with our Boston engineering team.
Take ownership of code quality and production stability by writing automated tests (e.g., pytest, Jest) and driving issues from investigation through resolution and prevention.

As a Backend & Infrastructure Engineer, you will design, build, and operate production-grade systems that serve as the backbone of our products.

Your responsibilities will include:

Owning and evolving core backend services with a focus on reliability, performance, and scalability
Designing and maintaining infrastructure components, including cloud resources, deployment pipelines, and monitoring systems
Leading database design, migrations, and operational stability of data-intensive services
Operating and optimizing LLM/ML infrastructure, improving performance, resilience, and cost efficiency
Supporting customer integrations by building and maintaining robust inbound and outbound integration systems
Collaborating closely with Product, DevOps, and other engineers to translate product requirements into long-term technical solutions
Contributing to frontend or cross-stack work when needed to deliver complete, end-to-end features


This role is ideal for engineers who enjoy working close to infrastructure, take pride in operational excellence, and like contributing across system boundaries rather than staying narrowly scoped.

We are looking for a Senior Frontend Engineer to join our Analytics team. This is a hybrid role based in Israel, reporting to the Manager, Software Engineering.
Youll thrive on turning deep analytical challenges into elegant, simple user experiences by mastering our powerful semantic layer and customer use-cases. Our team creates the lens through which customers explore their data, empowering security experts with intuitive tools that transform complex information into clear, actionable insights.
What youll do (Role Expectations):
Architect and develop user interfaces for our Analytics platform using React and TypeScript
Build efficient, reusable, and scalable frontend features that leverage our semantic layer and data infrastructure
Lead technical design and development cycles from concept through to production
Partner closely with UX designers, product managers, and other engineers to bridge the gap between technical power and user experience
Drive the evolution of our frontend stack by researching and applying new technologies and best practices

Today, more people than ever are speaking publicly about their mental health. Whether it's ourselves, our friends and family or even public figures, taking care of your behavioral health is no longer a taboo, it's vital, and it's only human.

we are on a mission to help deliver the world's most effective behavioral care through data, measurement, and personalization. Or simply put, we want to give clinicians the support they need to do the important work only they can do.

What is this opportunity?
At our company, we build a behavioral health CareOps automation platform that transforms therapy conversations into structured insights and clinical documentation. Our system uses advanced ML and LLM technologies to improve care quality, support therapists daily workflows, and reduce documentation time by over 50%.

As a Senior ML Infrastructure Engineer, you will design and build the infrastructure that powers our ML and LLM systems in production. You will develop scalable pipelines, systems, and tools that enable data scientists and AI teams to efficiently develop, test, and deploy models.
Working closely with data scientists, engineers, and product teams, you will ensure our ML capabilities are reliable, scalable, and production-ready-helping bring cutting-edge AI to improve mental health care.
This is a unique opportunity to join a startup with a real impact on thousands of peoples wellbeing and mental health, applying cutting-edge AI technologies to solve meaningful human problems.

How will you contribute?
Design and build infrastructure and backend services supporting ML and LLM systems

Develop and maintain ML training and deployment pipelines

Build tooling that enables model experimentation, versioning, and reproducibility

Implement CI/CD pipelines for ML workflows and model deployment

Support LLM deployment, prompt management, and optimization pipelines

Improve reliability, monitoring, and observability of ML systems in production

Collaborate with data scientists to productionize models and research prototypes
Ensure secure and compliant handling of sensitive healthcare data

we are looking for a Senior Backend Engineer.
As a Senior Backend Engineer, you will play a pivotal role in shaping the architecture and evolution of our backend services. You'll work in a dynamic, collaborative environment where innovation and creativity are encouraged.
Your responsibilities:
Architect, develop, and test cloud-native microservices, ensuring they meet our high standards of scalability and reliability.
Deeply engage with a range of tech stacks, showcasing your expertise beyond a single framework-particularly in AI technologies, LLM frameworks and cloud infrastructure, including containerized environments like Kubernetes and Docker.
Collaborate closely with cross-functional teams, including sales and customer success, to ensure our solutions are perfectly tailored to customer needs.
Grow a culture of continuous learning and improvement, mentoring team members and guiding their professional development.
Design and build systems with security at the forefront, understanding and applying key security concepts to protect our customers and their data.

Required AI Backend Engineer
Tel Aviv-Yafo, Gush Dan, Israel
We offer the industrys only platform that fuses customer identity and anti-fraud solutions - customer identity management, identity verification, and fraud prevention.
We sell to industries with large, consumer-facing businesses such as: banking, financial services, insurance, fintech, gaming, ecommerce/retail, telco / media, utilities, etc.
About the Role:
As the AI Backend engineer, you will join a team of highly skilled machine learning engineers in developing and deploying advanced AI/ML solutions that power our identity and security products. Youll utilize technical skills to drive innovation, ensure delivery of high-impact projects, and scale our data-driven capabilities across the organization.
This role requires both strategic thinking and hands-on expertise. Youll be responsible for shaping the data science roadmap, mentoring a growing team, and collaborating with product, engineering, and business stakeholders to translate business challenges into practical machine learning solutions.
What youll do:
Design, develop, and maintain backend services for AI agents and tool integrations using latest technologies
Build scalable APIs and microservices that interface with LLMs and AI frameworks
Implement agent orchestration systems, tool calling mechanisms, and workflow engines
Optimize performance and reliability of AI-powered applications at scale
Develop data pipelines for training, evaluation, and monitoring of AI systems
Integrate with various LLM providers (OpenAI, Anthropic, etc.) and manage API interactions.