דרושים » הנדסה » Full Stack Developer

is looking for a skilled and experienced Backend Developer to join our team. Youll play a key role in designing, developing, and maintaining advanced software systems in Node.js, working with cutting-edge technologies in an agile and collaborative environment. If you're passionate about building high-performance backend systems and want to work in a fast-paced, sports-tech company we want to hear from you!
As part of your role, you will:
Design and implement robust backend services using Node.js
Work closely with cross-functional teams to build scalable and reliable systems
Integrate various cloud services and data solutions
Participate in code reviews and contribute to best practices
Solve complex technical challenges in real-time video and data-intensive environments
You will take ownership of a production-grade product, ensuring its stability, scalability, and performance in real-world environments.

Were looking for a skilled Backend Developer specializing in Go to join our hybrid team and take part in building a strategic new product from scratch. The system connects smart cameras installed in sports venues to powerful cloud-based infrastructure, delivering real-time video streaming at scale.
Youll work in a pod-based structure, alongside backend and cloud experts, in a fast-paced Agile environment. If you love distributed systems, cloud-native development, and want to work with GO, AWS, and AI-integrated infrastructures wed love to meet you!
As part of your role, you will:
Design and develop robust, cloud-based software systems using GO
Collaborate with cross-functional team members including backend, cloud, and AI engineers
Tackle real-world challenges involving video processing, hardware integration, and real-time delivery
Work on a new product in early-stage development with significant architectural and technical ownership
Build scalable, reliable services deployed on AWS

We are seeking an exceptional Applied Scientist to join our Prime Video Sports tech team in Israel. Our team is dedicated to developing state-of-the-art science to allow for personalizing the customers experience and customers to 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 temporal information retrieval, leveraging Generative AI and Large Language Models (LLMs), and building state-of-the-art 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 lead the development of 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 cutting-edge technologies such as Gen AI/LLMs to enhance content discovery and search capabilities. 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 Information Retrieval. We expect you to thrive in ambiguous situations, demonstrating outstanding 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.

we are a leader in cloud-native networking software for Hyperscalers and service providers who are building the largest infrastructures in the world for network services and AI platforms. Founded in December 2015, our company disrupted some of the most challenging high-scale markets, transforming the way Networks are built, scaled, and consumed. We also built the largest network in the world, with more than half of AT&Ts backbone running on our companys Network Cloud. our companyhas raised $587 million in three funding rounds which enable us to dream big and bring on the most talented people.
The Role
We are looking for a Full Stack Software Engineer to join our Network Orchestration group. Our group is responsible for developing scalable, high-performance distributed systems that support complex network infrastructures.
In this role, you will be working on both backend and frontend development, contributing to the design, implementation, and optimization of our software solutions. You will work end to end on features, from design and development to deployment and monitoring in production.
You will collaborate closely with team members, QA engineers, Product Managers, Project Managers, and UI/UX Designers to deliver high-quality, production-ready applications.
We embrace an agile mindset you should be comfortable with context switching, handling multiple priorities, and adapting quickly to changing requirements.
Responsibilities
Develop and maintain backend services using Node.js (TypeScript, NestJS/Express) and frontend applications with Angular.
Work end to end on features, from design and development to deployment and monitoring in production.
Write clean, maintainable, and well-tested code, following best practices.
Work with relational and NoSQL databases, designing efficient data models and queries.
Collaborate with QA engineers, Product Managers, Project Managers, and UI/UX Designers to deliver high-quality features.
Participate in code reviews, providing constructive feedback and ensuring best practices.
Troubleshoot and debug application issues, ensuring smooth functionality in production.
Work with distributed systems, understanding their challenges and ensuring scalability and reliability.
Stay updated with modern development trends, frameworks, and best practices.

We are seeking a highly skilled Senior Full Stack GenAI Engineer to join a newly formed innovation team, dedicated to advancing Generative AI technologies within our digital intelligence solutions. In this role, you will play a central part in bridging cutting-edge AI research and real-world applications by building scalable, intuitive web applications that showcase the power and potential of GenAI.

As a key technical lead, you will transform AI-driven ideas into operational, production-ready systems that deliver real impact to our global customers. Youll work at the intersection of deep tech, product design, and user experience to shape the future of digital intelligence tools.

Key Responsibilities:
Lead Development of GenAI Applications: Build and maintain full-stack solutions that bring GenAI research into production environments.
Design Scalable Architectures: Create flexible and modular systems that can evolve with rapidly changing AI technologies.
Collaborate Across Disciplines: Work closely with GenAI researchers, product managers, and designers to integrate AI capabilities into intuitive user interfaces.
Prototype and Experiment: Rapidly iterate on AI-driven concepts to explore innovative use cases and technologies.
Optimize Performance: Implement best practices for scalability, responsiveness, and system robustness across frontend and backend services.

our companys Saas department is focused on building software and products at scale, from infrastructure that handles massive amounts of data to outstanding customer centric user experiences in B2B, B2C and B2D products that change billions of lives worldwide.
We're seeking a Staff engineer - AI Builder to lead the design and implementation of AI-native technical frameworks that redefine how large-scale systems are built, extended, and evolved.
This role is deeply technical and architecture-driven, focused on designing modular, extensible, and AI-first system foundations that enable scalable development with AI as a core engineering collaborator.
You will work across the full stack, building infrastructure where AI actively generates, extends, and maintains software components as part of the native development flow.
This is not about incremental AI integration this is about architecting the frameworks that let AI scale software engineering 10x faster and smarter.
Responsibilities
Architect and lead the development of AI-native system frameworks that emphasize modularity, extensibility, and adaptive scalability.
Build platform primitives that enable dynamic AI-driven module and extension generation.
Design and implement developer workflows optimized for AI-assisted software development, embedding AI collaboration as a first-class design principle.
Define and codify AI-native engineering practices, patterns, and guidelines to elevate our companys software development lifecycle.
Establish and champion best practices for AI-assisted engineering across system design, code quality, testing, observability, and operational scalability.
Drive hands-on prototyping and iterative delivery across frontend, backend, and orchestration layers.
Provide technical leadership and mentorship, fostering an AI-first engineering culture across teams.
Partner closely with Product, AI, and Engineering teams to align system evolution with AI-native goals.

We are At Cross River, we're building the financial infrastructure that powers global innovation. With our cutting-edge suite of embedded payments, cards, and lending solutions, we enable millions of businesses and consumers to transact seamlessly and securely. With 900+ employees worldwide and an R&D center of over 160 employees in Jerusalem - we’re reshaping how financial technology is developed and delivered. .

The Role:
We are looking for a backend engineer who can design, build, and operate highly reliable Node.js services on AWS that enable generative?AI capabilities across our products and internal workflows. You will create scalable APIs, data pipelines, and serverless architectures that integrate large?language?model (LLM) services such as Amazon Bedrock, OpenAI, and open?source models, enabling teams to safely and efficiently leverage generative AI.

Who You Are:

* You have experience building Retrieval?Augmented Generation (RAG) systems or knowledge?base chatbots.
* You're Hands?on with vector databases such as Pinecone, Chroma, or pgvector on Postgres/Aurora.
* Have AWS certification (Developer, Solutions Architect, or Machine Learning Specialty).
* Experience with observability tooling (Datadog, New Relic) and cost?optimization strategies for AI workloads.
* Background in microservices, domain?driven design, or event?sourcing patterns.

What You’ll Actually Be Doing:

* Design and implement REST/GraphQL APIs in Node.js/TypeScript to serve generative?AI features such as chat, summarization, and content generation.
* Build and maintain AWS?native architectures using Lambda, API Gateway, ECS/Fargate, DynamoDB, S3, and Step Functions.
* Integrate and orchestrate LLM services (Amazon Bedrock, OpenAI, self?hosted models) and vector databases (Amazon Aurora pgvector, Pinecone, Chroma) to power Retrieval?Augmented Generation (RAG) pipelines.
* Create secure, observable, and cost?efficient infrastructure as code (CDK/Terraform) and automate CI/CD with GitHub Actions or AWS CodePipeline.
* Implement monitoring, tracing, and logging (CloudWatch, X?Ray, OpenTelemetry) to track latency, cost, and output quality of AI endpoints.
* Collaborate with ML engineers, product managers, and front?end teams in agile sprints; participate in design reviews and knowledge?sharing sessions.
* Establish best practices for prompt engineering, model evaluation, and data governance to ensure responsible AI usage.


Why You’ll Love Working Here:
We’re a collaborative, humble, and fast-paced team that takes pride in building real solutions to real problems. You’ll work on meaningful products that empower businesses and people, alongside curious, supportive teammates who are always up for a challenge. Innovation and ownership are part of our DNA—and we’re just getting started.

Next Step:
Hit Apply. Bring your AI vibes. We’ll bring the challenge - and the snacks.

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, automation, and scalable AI platforms.
If youre an innovator at heart, passionate about leveraging AI to solve complex problems, and thrive in an environment where experimentation and entrepreneurship are encouragedthis role is for you.
Responsibilities:
 Develop and integrate AI-powered solutions to enhance engineering productivity, automate workflows, and improve developer efficiency.
Evaluate and implement state-of-the-art AI platforms (ChatGPT, Claude, Gemini, custom models) to solve engineering and operational challenges.
Design and maintain AI-driven internal platforms such as knowledge management systems, AI-enhanced coding assistants, intelligent automation tools, and AI-powered chatbots.
Work alongside engineering, DevOps, and product teams to embed AI into everyday development workflows.
Lead Proof-of-Concept (PoC) projects, experimenting with LLMs, generative AI, and automation frameworks to create tangible business impact.
Stay ahead of emerging AI trends, researching and implementing cutting-edge AI models and tools.
Build scalable AI infrastructure that integrates with cloud environments (AWS, GCP, Azure) and engineering toolchains.
Promote a culture of innovation, empowering teams to embrace AI-driven solutions and fostering AI adoption across the organization.

dedicated to reducing supply chain cyber risk so companies worldwide can quickly and securely do business together. We provide a comprehensive third-party cybersecurity solution that creates a new business world where cybersecurity isnt just a necessary cost of doing business, but an integral driver of growth. our customers defenses are constantly evolving with their risk landscape, enabling companies to confidently scale with a solution that grows as they do.

About You
Humble and growth-minded: You lift others up, stay open to feedback, and see leadership as a craft to continually improve.
People-first and psychologically safe: You lead with empathy, protect your team from distractions, and create a space where people feel valued and safe to speak up.
Strong in the storm: You stay calm under pressure, buffer outside noise, and handle tough situations with maturity.
Curious and hands-on: You still enjoy coding, learning new tech in your free time, and diving into complex systemsespecially when they involve data.
Outcome-focused and holistic: You deliver results that matter by balancing tech, people, product, and processnever cutting corners on collaboration or quality.
Socially smart and adaptable: You build real connections, flex your style across different personalities, and lead with authenticity.
Team-centered across the org: You treat peers, stakeholders, and other functions as an extension of your teamcollaborating intentionally across boundaries.
Reliable and hungry: You raise your hand when it countsincidents, deadlines, challengesand push for excellence with humility.
Tech-savvy and scale-aware: You understand system design at scale and what good engineering looks like from code to architecture.
About the Role
As Team Lead, youll lead a talented full-stack team and take ownership of key platform areas. Youll be responsible for growing the technical depth of the team, fostering strong engineering practices, and ensuring scalable, high-quality delivery. Youll manage a group of engineers, including one QA engineer (manual and automation), and work closely with CS, Product, and peer engineersbuffering noise, unblocking delivery, and occasionally joining customer calls. Youll play a central role in building a healthy, effective, and psychologically safe team that delivers real impact.

Youll lead a full-stack team that owns core platform areas, including:
Full-stack feature development across our platformincluding our live analytics dashboards.
External APIs serving customers and partners and their infra across the platformdesign, scalability, and quality are critical.
Data pipelines from MongoDB, and Postgres into BigQuery via Kafka.
Looker dashboards and queries.
A RabbitMQ-based legacy data pipeline.

we are a leader in cloud-native networking software for Hyperscalers and service providers who are building the largest infrastructures in the world for network services and AI platforms. Founded in December 2015, our company disrupted some of the most challenging high-scale markets, transforming the way Networks are built, scaled, and consumed. We also built the largest network in the world, with more than half of AT&Ts backbone running on our companys Network Cloud. our companyhas raised $587 million in three funding rounds which enable us to dream big and bring on the most talented people.
About us
we are a leader in cloud-native networking software for Hyperscalers and service providers building the worlds largest infrastructures. Founded in 2015, our company has transformed the way networks are built and scaled including powering over half of AT&Ts backbone. With $587 million raised to date, we continue to grow and innovate with bold ideas and top-tier talent.
About the Role
Were looking for a Team Leader to build a new engineering team and an innovative product from the ground up. This role is ideal for a hands-on leader who thrives in a startup-like environment, enjoys technical challenges, and is excited about shaping a products architecture and development strategy.
Key Responsibilities
Lead & mentor a high-performing development team in building advanced, scalable software solutions.
Recruit, mentor, and grow a team of engineers.
Architect & implement microservices-based solutions with high availability and fault tolerance.
Develop & optimize backend services using Node.js (TypeScript, NestJS/Express) and frontend applications with React along with state
management solutions (Redux, MobX, etc.)
Ensure scalability & performance by optimizing distributed systems and database architectures.
Collaborate with cross-functional teams, including QA engineers, Product Managers, Project Managers, and UI/UX Designers, to ensure seamless development and delivery of high-quality products.
Work closely with QA to implement best practices for testing and automation, ensuring high software quality and reliability.
Coordinate with Product Managers to align development with business priorities and roadmap planning.
Work alongside the Project Manager to track progress, mitigate risks, and ensure timely delivery of features.
Stay updated on the latest trends in distributed computing and modern software development.