לוח משרות דרושים מתכנת Node.js עבודה היברידית

we are looking for a Senior Frontend Developer.
As a Senior Frontend Developer, you'll lead the development of intuitive and scalable applications, collaborate closely with diverse teams, drive impactful and shape cutting-edge SaaS solutions in our innovative, fast-paced environment.
Youll Own:
The Full Feature Lifecycle: Taking accountability for your features from the initial ideation and wireframing phases-collaborating closely with Product and UX-all the way to production.
Architectural Voice: Participating in our "Architecture Huddles," where you will directly influence the future of our codebase and define the engineering best practices for the entire team.
Your Professional Growth: Utilizing dedicated learning time and attending professional workshops and lectures provided to continuously sharpen your technical edge.

We are seeking a seasoned Backend Developer with a solid background in high-load environments and experience in managing multiple Linux servers. The ideal candidate is someone who thrives in a fast-paced, innovative, and technology-driven culture.
Responsibilities:
Own architecture for high-scale, user-facing backends and data pipelines.
Lead and mentor engineers; guide design reviews, roadmaps, and execution.
Operate production systems with clear SLOs/SLAs, on-call quality, and blameless postmortems.
Evolve our K8s/GPU platform, CI/CD, and observability to increase deployment velocity and resilience.
Integrate and serve ML models (PyTorch, CUDA/TensorRT, Triton) with a focus on throughput and cost.
Partner cross-functionally (ML, Product, Security, Finance) on priorities and cost/perf trade-offs.
Hire, level up the team, and uplevel engineering standards.

We are seeking a seasoned Backend Tech Lead with a solid background in high-load environments and experience in managing multiple Linux servers. The ideal candidate is someone who thrives in a fast-paced, innovative, and technology-driven culture.
Responsibilities:
Own architecture for high-scale, user-facing backends and data pipelines.
Lead and mentor engineers; guide design reviews, roadmaps, and execution.
Operate production systems with clear SLOs/SLAs, on-call quality, and blameless postmortems.
Evolve our K8s/GPU platform, CI/CD, and observability to increase deployment velocity and resilience.
Integrate and serve ML models (PyTorch, CUDA/TensorRT, Triton) with a focus on throughput and cost.
Partner cross-functionally (ML, Product, Security, Finance) on priorities and cost/perf trade-offs.
Hire, level up the team, and uplevel engineering standards.

we are looking for a Senior Software Engineer.
What will you do:
You will be responsible for owning our end-to-end development process, from design to production, contributing to platform infrastructure and architectural decisions, and help driving best practices in system design, code quality and AI-assisted development.
You will design and implement scalable backend services in Java (Spring Boot) and NestJS (Node.js/TypeScript), build RESTful and event-driven APIs, and develop reliable systems supporting publishers management, bidding logic, reporting, and customer-facing dashboards.
You will build and maintain modern frontend applications using Angular (15+), ensuring seamless integration with backend services and consistent UX performance.
You will engage in research of core technologies, integrations with external APIs and third-party services, and provide effective solutions to production and scalability challenges.
You will write high-quality, testable code (unit, integration, E2E), improve observability (logs, metrics, tracing), and actively participate in design reviews and technical discussions.

We're seeking an outstanding and passionate Software Engineering to join our growing R&D team.

You will work in an energetic startup environment following Agile concepts and methodologies. Joining the company at this unique and exciting stage in our growth journey creates an exceptional opportunity to take part in shaping our team and technology at the forefront of Fintech and AI.

If you have more front-end or back-end orientation, don't hesitate to apply.

What you'll do:

Be responsible (together with the team members) for the platform, its up-time, architecture & scale.

Be part of building a high-scale and robust backend platform.

Work closely with company leadership, and iterate over core infrastructure.

Write high-quality and performant code following industry best practices and standards.

Experiment with new technologies, tools, and 3rd party frameworks. Utilize them to deliver state-of-the-art tech.

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.
What Youll 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.