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We are growing rapidly and we are seeking a Senior Full Stack Developer to join our technology team. This position will be instrumental in developing new products and capabilities on our platform for our clients.
Responsibilities:
Collaborate closely with Product and Design teams to build new features end-to-end.
Coordinate with engineering and product leadership to define projects that help us meet business objectives.
Support existing platforms including: additions to features, upgrade of technology and implementation of new clients requests.
Work with support to investigate and debug technical support requests and client issues.
Work in an Agile environment, at a sustainable pace of one/two-week sprints.
Continuously learn and evaluate new technologies and guide team decision making.
Mentor, pair, and delegate work to encourage the professional and technical growth of peers.

We are growing rapidly, and we are seeking a Full Stack Developer to join our technology department. This position will be instrumental in developing new products and capabilities on our platform for our clients.
Responsibilities:
Collaborate closely with Product and Design teams to build new features end-to-end.
Coordinate with engineering and product leadership to define projects that help us meet business objectives.
Support existing platforms including: additions to features, upgrade of technology and implementation of new clients requests.
Work with support to investigate and debug technical support requests and client issues.
Work in an Agile environment, at a sustainable pace of one/two-week sprints.
Continuously learn and evaluate new technologies and guide team decision making.
Mentor, pair, and delegate work to encourage the professional and technical growth of peers.

The Senior Product Manager, SW Platform / Enablement will lead the direction and roadmap execution for shared platform capabilities that help CathWorks solutions scale across cath labs worldwide, including infrastructure, connectivity, cloud enablement, shared services, and efficient clinical software development.
You will partner with engineering, architecture, cybersecurity, quality, regulatory, clinical, commercial, and product teams to turn platform needs into clear requirements and priorities aligned with business, roadmap, technical, and regulatory goals.
The ideal candidate brings strong product ownership, technical curiosity, and practical experience with software infrastructure, cloud technologies, and Agile delivery, with the ability to discuss complex topics with engineering and communicate platform value to stakeholders.
Responsibilities may include the following and other duties may be assigned:

Own the roadmap for shared software platform capabilities across products and applications. Lead platform features for infrastructure, connectivity, cloud enablement, shared services, and scalability. Improve reuse, interoperability, development efficiency, and technical sustainability. Translate platform strategy into requirements, priorities, and measurable outcomes. Balance near-term delivery with long-term platform architecture goals
Own platform requirements from concept through release and learning. Define user needs, requirements, acceptance criteria, and release scope
Prioritize and manage the platform backlog with Agile teams. Support roadmap, release, sprint planning, backlog refinement, and feature acceptance. Track adoption, performance, risks, and business impact
Partner with engineering and architecture to define scalable, secure software infrastructure. Define connectivity, data flow, integration, and cloud platform services. Support platform decisions for future products, ecosystems, and multi-application growth. Translate technical constraints into product tradeoffs and priorities
Partner with engineering, architecture, cybersecurity, quality, regulatory, clinical, commercial, and product teams. Represent product in roadmap, Agile, design review, and release readiness forums. Align teams on priorities, dependencies, risks, sequencing, and delivery plans. Communicate platform direction to technical and non-technical audiences
Document platform requirements and decisions per quality, regulatory, and cybersecurity. Support Agile execution and applicable product development processes
Contribute to roadmap governance, release reviews, and cross-functional decisions. Manage risks, dependencies, mitigation plans, and escalations for platform initiatives.

We are seeking an experienced Senior DevOps Engineer to build and maintain the critical infrastructure that powers our multi-platform development pipeline, from cloud-based development environments to embedded automotive systems.
This role combined traditional cloud infrastructure, embedded systems tooling, and safety-critical automotive software deployment.
You will work closely with our embedded systems, software, and quality teams to enable rapid, reliable, and traceable releases across multiple customer programs (VinFast, JoyNext, and internal platforms).
Responsibilities
Expert in infrastructure cost optimization, cloud resource management, and identifying opportunities to reduce operational expenses without compromising performance or reliability
Design, implement, and maintain CI/CD pipelines using GitHub Actions, supporting multi-repository development workflows and versioned manifest-based releases
Build and optimize cloud infrastructure for development, testing, and OTA (Over-The-Air) deployment pipelines (x86-based build systems, container orchestration, monitoring, and observability)
Establish and enforce DevOps best practices for safety-critical automotive software (ISO 26262, AUTOSAR, traceability, audit logs, change management)
Collaborate with embedded systems teams to ensure deterministic, bit-identical builds across different platforms and environments
Troubleshoot and resolve infrastructure issues affecting development velocity and production systems.

We are looking for a highly skilled and motivated Embedded Software Team Lead to drive our development efforts from the trenches. You will lead a team of talented engineers, combining strong technical leadership with deep hands-on involvement. In this role, you will be responsible for the architecture, design, and implementation of complex embedded software, while mentoring team members and ensuring high code quality. This is a "player-coach" role for someone who loves to solve hard technical problems and thrives on developing people.
Responsibilities
Leadership & Mentoring:
Lead and mentor a team of embedded software engineers, setting day-to-day priorities and fostering a high-performance culture
Provide technical guidance, perform code reviews, and act as the go-to person for complex technical challenges
Facilitate team collaboration and ensure clear communication across the R&D organization
Foster a culture of excellence, accountability, and continuous learning
Technical Ownership (Hands-on):
Remain deeply involved in hands-on design, architecture, and coding (approx. 50% coding/design work)
Design and implement robust embedded software for real-time systems, focusing on performance, scalability, and safety
Ensure best practices in coding standards, unit testing, and CI/CD integration
Collaborate with hardware and systems engineers to ensure seamless integration between software and hardware components (SoCs, MCUs, sensors, etc.)
Execution & Delivery:
Own the delivery of specific embedded modules, from design to production
Translate product requirements into actionable technical tasks and roadmaps
Drive engineering processes to increase efficiency and code quality
Work closely with customers and Tier-1 partners on technical requirements, escalations, and delivery commitments
Stay updated with industry trends in embedded systems and automotive tech to continuously improve our stack.

Were looking for a Senior Software Engineer, to design and build scalable, production-grade systems powering our AI-native platform.
This is an AI-native engineering role- AI copilots and tools (such as Claude, Cursor, and Copilot) are a core part of how we design, prototype, and ship software. Engineers use AI as a force multiplier to move quickly, iterate rapidly, and focus their time on architecture, system design, and complex problem solving.
Youll work across multiple services, platform infrastructure, and AI-driven capabilities, owning features end-to-end and helping bring intelligent healthcare products from concept to production.
Key Responsibilities:
AI-Native Development - Design and build scalable systems using AI copilots such as Claude, Cursor, and Copilot as a core part of the workflow.
AI-Powered Features - Develop and integrate AI-driven capabilities and pipelines into production systems.
End-to-End Ownership - Own features from architecture and development through deployment and monitoring.
Cloud Infrastructure - Build and operate scalable cloud-native systems on AWS.
Collaboration & Engineering Excellence - Work closely with Product, Data, and AI teams, contribute to architecture decisions, and help raise the technical bar across the team.

We're looking for exceptional engineers with strong back-end fundamentals and proven experience building high-scale distributed systems to join us at Hola, where we offer a unique and widely used VPN service that serves millions of users around the world with a strong focus on privacy, performance, and innovation. In this role, you will solve hard engineering problems on a large-scale visual challenge solving platform that spans orchestration services, computer-vision inference, and cloud infrastructure. You will take full ownership of critical systems, from design to production, in a fast-paced and professional agile environment.

Responsibilities
End-to-end design, development and ownership of critical back-end services, from architecture to production.
Participate in system design and architecture planning, for optimal software performance, scalability and reliability.
Solve complex engineering problems: distributed state, concurrency, tail latency, fault tolerance and high-throughput pipelines.
Debug production issues end-to-end across services: gRPC channel churn, DNS/ASG failover, Redis queue backpressure, worker saturation and memory fragmentation.
Design and maintain solver logic for complex visual challenges: image grids, drag-and-drop, object detection and browser automation.
Build and optimize pipelines integrating OpenAI reasoning, computer-vision inference, Redis Streams, MongoDB session tracking and S3 screenshot archival.
Take on independent responsibilities, while contributing to the team's collective goals.
Actively learn, adapt and stay up-to-date with the evolving tech landscape, including best practices.

Required Senior Platform Engineer
About The Role:
As a Senior Platform Engineer, you will build the shared backend platform and AI enablement layer that every product team builds on top of, and you will be a key design partner across R&D - helping teams shape architectures for new AI-powered features, backend services, and agentic systems.
This is a force-multiplier role: instead of shipping one product feature, you raise the velocity and quality of every team. You will make key architectural decisions about how AI is integrated, how services communicate, and how engineers measure and improve what they ship - and you will coach and review designs across the org so we move fast without compromising on quality.
What You'll Do:
Lead and partner on architecture and design across R&D - running design reviews, shaping technical proposals, and helping teams choose the right patterns for AI, backend, and data-driven systems
Design and build core backend platform services and SDKs (auth, eventing, feature flags, configuration, data access) that product teams compose into AI-powered features
Build the AI enablement layer: shared LLM gateways, prompt and agent frameworks, evaluation and tracing tooling, model routing, guardrails, and cost/latency controls - so every team can adopt LLMs and agents safely and consistently
Define and own platform processes that improve engineering velocity and quality: service templates, paved-road patterns, code review standards, release workflows, and golden-path documentation
Build the observability and quality story for AI features end-to-end: structured logging, metrics, distributed tracing, LLM-call instrumentation, prompt/response evaluations, and regression detection
Research, prototype, and lead the selective adoption of new AI tooling, agent frameworks, and backend technologies into the platform.

We're looking for exceptional Senior Back-End JavaScript developers, with expertise in Node.js. MongoDB, Express, Kubernetes, RabbitMQ, Cassandra and Snowflake.

In this role, you will take full ownership of product and feature development, using cutting-edge technologies, in a fast-paced and professional agile environment.

*Hybrid position.

Responsibilities
End-to-end feature development, from conception to production.
Participate in system design and architecture planning, for optimal software performance.
Take on independent responsibilities, while contributing to the team's collective goals.
Actively learn, adapt and stay up-to-date with the evolving tech landscape, including best practices.

were looking for a passionate Tech Lead to join our collaborative team.

Youll be at the forefront of innovation-designing scalable solutions, guiding architecture, and driving technical excellence as we deliver world-class experiences to millions of sports fans around the globe.

Responsibilities
Design robust APIs and services for a vast user base
Architect and guide performance optimization, security, and scalability strategies
Analyze and process large datasets in near real-time to deliver insight
Oversee data pipelines that power real-time push notifications for a global user base
Provide a technical specification for complicated features
Support development team, delegate tasks, and resolve technical blockers
Perform code reviews to ensure best practices are followed and offer constructive feedback for continuous improvement.
Ensure high code quality, maintainability, and test coverage (unit/integration tests)
Own the delivery of releases all the way to production
Help manage hiring process and onboarding of developers

As a Senior Data Scientist , you will be an integral part of our Machine Learning and AI team. The role is hands-on and impact-driven, focusing on building, improving, and delivering machine learning models that directly support business goals.

Responsibilities
Design and deploy production ML systems that drive automated business decisions (pricing, bidding, resource allocation)
Build end-to-end ML pipelines - from data ingestion and model training to serving, monitoring, and incident response
Translate ambiguous business problems into rigorous mathematical frameworks and own them from conception to production impact
Conduct rigorous experimentation (A/B testing, causal inference, uplift modeling) to measure and improve model performance
Maintain and improve real-time models that adapt to incoming data and feedback signals
Mentor junior team members on ML best practices and production standards

We are seeking a highly skilled, motivated Senior Full-Stack Engineer II to join the Customer Experience Offerings (CXO) team. This team delivers and scales our core offerings and agentic experiences, creating smart automation for customers to confidently understand, configure, and optimize their journey.

What Youll Be Doing
Act as the go-to technical expert across one or more core areas of the CXO platform, setting the standard for code quality, maintainability, and architecture for the team.
Drive technical decision-making on complex, mission-critical systems. Lead design reviews for large-scale initiatives and contribute to all major architectural decisions within your domain.
Own and deliver large, cross-system initiatives, handling open-ended problems with ambiguity. Define key success metrics and measure project impact post-delivery.
Proactively identify and drive improvements to system costs, scale, and operational stability.
Proactively engage with customers to understand their needs, document pain points and suggestions, and drive improvements that benefit multiple teams.
Improve team processes: identify gaps in documentation, design/code review practices, and onboarding; propose and lead adoption of improvements.
Think like a product owner: proactively identify opportunities to improve the customer experience from quality-of-life improvements to impactful new capabilities and bring them to the roadmap.

We are seeking a Senior Front-End Developer to join the core team building our next-generation AI Engine and Unified Chat Assistant. You will architect the UI for complex AI workflows, including multi-tenant agent management, pipelines, and evaluation services. We operate on a forward-thinking model where you will leverage an AI-first, spec-driven development approach to own features end-to-end.


What Youll Do:

Architect and Build: Develop scalable user interfaces for the AI Engine, Unified Chat Assistant, and Evaluation Service using modern web architectures.

AI-First Development: Drive our spec-driven workflow by heavily utilizing AI agents (Cursor, Claude Code) to handle code generation, so you can focus on architecture, planning, and validation.

End-to-End Ownership: Embrace a multi-disciplinary approach by owning the entire feature lifecycle from frontend implementation to backend integration and QA automation.

Global Collaboration: Partner closely with Product, UX, and backend teams (including our Paris office) to ensure seamless API and microservice integrations.

Quality Assurance: Establish and maintain high-quality standards through comprehensive testing strategies, including unit and E2E testing.

we are seeking a Senior Data Analyst position to join the BI Team, with a passion for technology, to solve unique problems within our measurements. Our team solves many challenges in turning raw data into accurate signals and extracting insights to improve the 365Scores products. Appropriate candidates have an understanding of multiple components across the big data stack: large-scale data analysis, data quality, statistics, and visualization. If you are the kind of researcher who's focused on results and a quick learner, this role is for you. This position is located in our Tel Aviv office.

Responsibilities
Function as the data authority in the Monetization domain - performing ad-hoc research and analysis on the company's rich data to support unique and strategic business questions.
Define, analyze, and monitor KPIs and OKR metrics to continually improve company products.
Analyze large, complex data sets to address strategic and operational business questions.
Actively take part in building and maintaining our AI Driven-BI Agentic Architecture.
Build dashboards and visualizations to answer key questions for the company's in-house various teams, specifically for the Monetization Team.
Perform qualitative, quantitative, and statistical analysis.
True passion for understanding data and finding Insights.
Provide actionable recommendations and conclusions from data to shape features and future product road maps.

As a Senior DevOps Engineer on the Price-It Platform team, youll own core cloud infrastructure, CI/CD, and the Kubernetes platform that powers our cloud-based decisioning products for global insurers and banks. Youll take end-to-end technical ownership of high-impact platform initiatives - from design through production - working hands-on across AWS, Kubernetes, and automation, while shaping how the team builds and ships.


What You'll Do:

Own and evolve the cloud platform: AWS infrastructure, EKS/Kubernetes, and Terraform-based Infrastructure-as-Code.

Build and maintain CI/CD pipelines and GitOps workflows that keep delivery fast, safe, and repeatable.

Design and operate secure networking and access (ALB, OIDC/OAuth2, JWT/M2M, Okta, firewalling).

Drive reliability, scalability, and resilience - including disaster recovery and multi-region readiness.

Partner closely with R&D, Product, QA, and Support to take initiatives from design to production.

Improve developer experience and velocity, including through AI-assisted and agentic engineering workflows.

Mentor and raise the engineering bar through technical leadership, design reviews, and documentation.