דרושים » תוכנה » Senior Developer (.NET Core + React)

Requirements:
Minimum 7 years as a Fullstack Engineer on production-grade systems
Substantial hands-on experience building production software with coding agents (Claude Code, Cursor, Codex, or equivalent). We'll want to talk in detail about what you've shipped this way, where the approach failed you, and how you handle review and architectural drift
Proficiency in React, TypeScript, and modern frontend patterns (custom hooks, reusable components)
Strong Python backend experience, particularly with FastAPI, Flask, or Django
Proven expertise designing and building scalable APIs and backend systems
Familiarity with relational and non-relational databases (PostgreSQL, MongoDB, Redis)
Familiarity with CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes)

Requirements:
Who Are You?
7+ years of experience as a software engineer, with deep expertise in full-stack development, including strong command of modern backend technologies (Node.js, TypeScript) and frontend frameworks (e.g., React, Next.js).
Demonstrated track record as a go-to technical expert: you have led complex multi-system initiatives, set architectural standards, and influenced technical direction across teams.
Experience building customer-facing products and working closely with product managers and customer facing stakeholders. You think instinctively about user impact - not just technical correctness.
Hands-on production experience operating data systems at high scale - billions of records.
You are comfortable working with Redis, Kafka, SQS, Elasticsearch, MySQL, and Snowflake. You know how to design efficient data-access layers, work with sharded and partitioned systems, optimize schema and query performance under load, and build reliable ingestion and transformation pipelines.
Strong familiarity with cloud-native environments. AWS experience is a significant advantage.
Experience building products or workflows powered by LLMs or Agentic AI.
Experience enabling and mentoring engineers on your team.
Excellent communication and collaboration skills. You can discuss architecture with engineers, align on roadmap with product managers, and explain tradeoffs to non-technical stakeholders.
Experience using modern AI development tools such as Claude, GitHub Copilot, or similar to accelerate development and improve quality.
Proven ability to self-manage, work autonomously, and drive projects forward without heavy oversight.

It Would be Really Cool if you Also Have:
Deep experience with designing or maintaining high-scale data pipelines, including streaming, batching, or real-time enrichment workflows.
Experience with micro-services or micro-frontend ecosystem architectures.
Experience leading workshops, sharing knowledge internally, or driving community practices.
Experience participating meaningfully in recruiting - crafting interview questions, conducting technical interviews, and contributing to hiring decisions.

Requirements:
BSc in Computer Science or equivalent experience.
7+ years of experience building and shipping production software, with a strong track record of owning features or systems end-to-end.
Strong system design fundamentals and experience building scalable SaaS systems in the cloud.
Ability to make sound architectural decisions independently and understand technical trade-offs.
Solid understanding of REST APIs, asynchronous programming, distributed systems, microservices, and testing.
Hands-on experience with AI coding tools such as Claude Code, Cursor, Codex, GitHub Copilot, or similar.
Strong ability to review, challenge, and improve AI-generated code rather than relying on it blindly.
Strong product mindset, with the ability to balance technical and business priorities and focus on solving the underlying problem.
Strong ownership mentality and ability to drive work independently from idea to production.
Excellent communication skills and high proficiency in English, with the ability to work directly with Product and engineering teams.

Requirements:
7+ years of experience in full stack development (with a strong backend orientation)
Proven experience designing and building scalable, distributed systems in production environments
Deep expertise in Node.js and TypeScript
Strong experience with modern frontend frameworks (React) and advanced JavaScript/TypeScript
Solid understanding of system design, APIs (REST/OpenAPI), and microservices architecture
Experience working with both NoSQL and relational databases. Proficiency with MongoDB and/or PostgreSQL is required, including schema design, query optimization, and handling production-scale data.
Hands-on experience with relational and non-relational databases
Experience working with event-driven architectures (e.g., Kafka, queues, pub/sub systems)
Experience with cloud platforms and serverless architectures (e.g., AWS Lambda)
Experience applying AI-powered development tools (e.g., GitHub Copilot, Cursor) to improve productivity. Familiarity with MCPs and AI agents is a must.
Strong problem-solving skills with the ability to operate independently and take initiative
Excellent communication skills and ability to collaborate across teams
Fluent in English
Nice to have:
Experience leading technical projects or mentoring engineers
Experience in high-scale SaaS environments
Familiarity with observability, performance optimization, and CI/CD pipelines

Requirements:
What you'll need:
6+ years of backend engineering experience with strong expertise in Node.js and TypeScript.
Hands-on experience building or integrating LLM-powered features or agentic workflows into a production product (not just internal tooling).
Experience with distributed systems and event-driven architectures, and comfort with stores like Kafka, Redis, Elasticsearch, MySQL, and Snowflake.
Strong familiarity with cloud-native environments. AWS experience is a significant advantage.
Deep systems thinking: you design for scale, resilience, and maintainability from the start.
Experience building customer-facing products alongside product managers and designers.
Excellent communication: you can align engineers, product, and non-technical stakeholders around a technical decision.
Proven ability to own and drive complex initiatives with minimal oversight.

Itd be really cool if you also have:
Experience with LangChain, LangGraph, LangFuse, or similar orchestration and observability tooling.
Hands-on experience with AWS Bedrock or other LLM provider APIs.
Experience designing or running AI evaluation frameworks (evals, LLM-as-judge, regression suites).
Familiarity with MCP (Model Context Protocol) or building tools for coding agents.
Experience with React, Next.js, or micro-frontend architectures.
Knowledge of Python for AI/data workflows.

Requirements:
At least 3 years of strong production experience with Python
Backend service development (FastAPI / MongoDB / Redis)
Cross-platform software development (macOS / Windows / Linux / WSL)
Solid grasp of OS, networking and low-level concepts
Interest in the AI ecosystem - LLMs, AI agents, MCP, and the dev-tools built on top (Copilot, Cursor, Claude Code)
Advantage
Rust experience (a growing part of our stack - desktop agent, MCP proxy)
Frontend (React / TypeScript / Mantine)
Security, endpoint or networking background
Docker & Kubernetes
Nice to have
Reverse-engineering / digging into other apps' internals
Policy engines or data-inspection systems
Browser extensions or IDE plugins.

Requirements:
WHAT YOU WILL BRING
7+ years of professional software engineering experience, with significant hands-on experience in both backend and frontend development.
Deep knowledge of Go or Python for backend services, and React with TypeScript for frontend applications.
Experience designing and working with distributed systems and microservices architecture.
Proven experience with backend testing frameworks such as Pytest or unittest for Python, and Gos testing package along with tools like testify or gomega.
Strong understanding of web fundamentals, API design, system scalability, and data processing.
Experience with performance monitoring and visualization tools like Grafana or Datadog.
A product-driven mindset with an eye for good UX and intuitive design.
Proven experience with testing practices across the stack.
Experience with CI/CD pipelines, Docker, and cloud-native infrastructure.
Strong sense of ownership, collaboration, and accountability.
Excellent communication skills and ability to work cross-functionally.

Requirements:
* 1 year of actual development experience.
* Hands-on experience using AI coding tools (e.g., Cursor, Claude, Gemini, Codex) as part of your regular development workflow- troubleshooting, code generation, and refactoring.
* Proficiency in a modern frontend framework (Vue, Angular, or React) and solid backend development using TypeScript and Node.js.
* Data Fluency: Comfortable working hands-on with data, including familiarity with databases and data stores.
* Data-Driven Decision Making: Able to draw insights and make decisions based on data rather than assumptions.
* Hands-on experience with one of the major cloud ecosystems (AWS/Azure/GCP), Databricks, Git, GitHub, Jira, and CI/CD pipelines (e.g., TeamCity).
* Basic grasp of software architecture, enough to find your way around microservices and data streams.

Requirements:
7+ years of hands-on experience building, deploying, and operating large-scale, production cloud systems end-to-end.
Strong Computer Science foundations: Solid grasp of software design principles, concurrency, data structures, and cost/performance trade-offs.
Cloud-Native & Event-Driven Systems: Hands-on experience designing and operating cloud-native, event-driven architectures and working with modern databases (SQL, NoSQL, or vector DBs).
Language Proficiency: Deep proficiency in **Python** (or equivalent backend languages).
Cross-Domain Adaptability: Comfortable working across backend contexts, including data pipelines, backend core logic, and applicative microservices.
Ownership Mindset: A strong sense of personal accountability and a proven track record of taking complex backend systems from zero to production.
Education BSc in Computer Science, Software Engineering, or equivalent practical experience.
Advantages :
AI Agent Workflows Experience building or integrating AI agents, LLM orchestration, or modern AI frameworks into production services.
DevOps & CI/CD: Hands-on experience setting up robust, automated CI/CD pipelines and infrastructure-as-code.
Full Stack Flexibility: Prior exposure to modern Frontend/UI frameworks (e.g., React, TypeScript)

Requirements:
Strong builders mindset - balancing deep system thinking with practical, hands-on delivery.
10+ years of full stack system architecture and complex platform engineering experience.
Deep expertise designing distributed, composable, and extensible systems across frontend and backend environments.
Strong hands-on skills with frontend frameworks (e.g., React, Next.js) and backend systems (e.g., Node.js, Python, Go, microservices, event-driven architectures).
Proven experience integrating and operationalizing AI-assisted development tools (e.g., GitHub Copilot, Cursor) into engineering workflows.
Experience building plugin frameworks, extension systems, or developer platforms that emphasize modularity and scalability.
Track record of defining and promoting engineering best practices - especially in the context of AI-driven development.
Demonstrated technical leadership - mentoring engineers, shaping architecture standards, and driving adoption of new paradigms.