לוח משרות דרושים הייטק תוכנה במרכז

Requirements:
6+ years of backend engineering experience, including at least 2 years in a technical leadership or management role.
Experience developing in Python -Advantage
Experience using emerging AI tools in development platform and building new methodologies to increase velocity and quality.
Strong expertise in distributed systems, high-scale architectures, and backend frameworks.
Solid understanding of databases, API design, and system integrations.
Proven ability to lead engineering teams, mentor individuals, and foster collaboration.
Excellent communication and problem-solving skills.
Experience in fintech, mobility, or transactional systems is a strong advantage.

Requirements:
5+ years of engineering experience (writing code and delivering products!).
2+ years of hands-on experience with React, building web-based products.
Leadership experience, whether it's leading people, projects, or technologies.
Strong people skills.
Full stack experience with server-side technologies and specifically Python (advantage).
Experience in fast-paced startup environments (advantage).

Requirements:
Python developer with at least 5+ years of experience
BSc in Computer Science or equivalent
Ability to thrive in a fast-paced startup working environment
Pro-active and independent achiever, self-learner, able to handle a task from idea to production
Leadership experience, whether it's leading people, projects, or technologies
Experience working with cloud service providers and DB technologies. Experience with AWS and Postgres - advantage
Proven work with Python at large scale. Either for data analysis, backend development, system development or similar - advantage
Good vibes and a sense of humor - must.

Requirements:
5+ years of software engineering experience, with strong hands-on experience in React and TypeScript.
Familiarity with backend development - whether through production experience or a genuine willingness to learn and grow in this area.
Experience leading teams, mentoring developers, or driving significant projects. We're also open to senior engineers with strong informal leadership experience ready for their first formal management role.
Passion for solving complex problems, strong technical intuition, and clear communication skills.
A collaborative, empowering leadership style that develops and inspires others.
Nice to Have:
Experience with Python, Django, or similar server-side technologies.
Familiarity with cloud infrastructure (AWS) and relational databases (Postgres).
Previous experience in dynamic, fast-paced startup environments.

Requirements:
The Experience: 8+ years of software engineering experience, with at least 3 years in a leadership role (Team Lead or Tech Lead).
The Tech Stack: Deep expertise in Python (OOP, heavy data processing, or backend systems). You know how to write clean, high-performance code at scale.
Infrastructure: Strong experience with Docker, Kubernetes, and Cloud environments (AWS/GCP).
Data Engineering: Proven experience working with relational databases and data engineering pipelines.
The "Builder" Mindset: You have experience taking a product from concept to production. You are not just maintaining legacy systems; you love the chaos and creativity of building something new.
Soft Skills: You are a natural collaborator and communicator. You know how to explain complex technical risks to non-technical stakeholders.
Education: B.Sc. in Computer Science, Electrical Engineering, or equivalent.
Advantage (Nice to have):
Experience with Orchestration tools (Airflow, Dagster, etc.).
Previous experience in a startup environment.

Requirements:
Must have:
* Background in AI Safety and/or Responsible AI and/or AI Ethics
* Familiarity with recent Generative AI models and agents is essential, though direct technical experience is not a prerequisite.
* Command of English at a near-native level.
* Attention to detail, organizational capabilities, and the capacity to juggle numerous tasks concurrently. Additional Wants:
* Experience with Webint / OSINT.
* Experience with various model types (Text-to-Text, Text-to-Image) is desirable.
* A self-starter attitude, with the energy to excel in a fast-moving and variable environment.
* Ability to work independently and in a team environment.

Requirements:
At Least 4 years of hands-on experience developing backend scalable systems (microservices) in production environments end to end from design to execution.
Experience working with AI tools or building new MCP's. Passion in emerging tools and new technologies and methodologies is a Must!
Experience with Docker and container orchestration tools
Strong understanding of cloud-native architecture; preferably with AWS .
Proficiency in SQL and NoSQL databases
Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams

Requirements:
Requirements:
10+ years in software engineering, including 4+ years in architecture roles.
Deep expertise in AWS and cloud-native design.
Strong engineering background with experience in modern programming languages (our stack includes .NET and Python).
Proven experience designing large-scale, multi-domain distributed systems.
Experience defining API boundaries and secure, reliable integration patterns.
Ability to design shared standards, reusable components, and platform-wide foundations.
Strong understanding of reliability, observability, quality gates, and production readiness.
Cost-aware architectural decision-making.
Excellent communication, collaboration, and leadership skills.

Advantages:
Experience building engineering platforms or developer tooling.
Experience with inner-source models.
Exposure to AI/LLM systems or automation workflows - or motivation to grow in this area.
Familiarity with ADLC, LLMOps, or AI governance.
Experience with automation tools (n8n, Make, Zapier, Airplane).
Background in data/analytics architecture.

Requirements:
3+ years of experience as a Data Analyst / Data Researcher.
Strong Proficiency with SQL.
Experience with BI tools such as Powerbi ,Tableau or similar.
Pro-active and independent achiever, self-learner, able to understand complex ideas and simplify it to relevant stakeholders.
Strong technical orientation with a passion for solving problems through data handling tasks, from ideation to delivery.
Team player with effective interpersonal skills to manage relationships with partners across the company.
Bachelor's degree in Industrial Engineering, Statistics, Mathematics, Economics, or a closely related field.
Ability to thrive in a fast-paced startup working environment.
Experience with dbt - an advantage.

Requirements:
10+ years of industry experience in a production web environment, including monitoring and performance tuning.
5+ years of experience with backend technologies in a Linux environment.
Can do attitude, not afraid to get your hands dirty
A real passion for solving problems and delivering value.
Experience in owning scalable modern web architecture throughout the full development lifecycle: design, development, testing, monitoring.
Experience working with both relational and non-relational databases.
Experience with AWS.
Experience working in a continuous integration environment; container orchestration (Docker, K8s) - advantage.
The ability to write clean code, as well as continuously refactor and improve existing code.
Good grasp of networking protocols and Linux internals.
The ability to work both autonomously and as part of a team.
Effective written and verbal English communication skills.
BSc in Computer Science (MSc advantage) or equivalent practical experience.

Requirements:
4+ years of industry experience in a production web environment, including monitoring and performance tuning.
3+ years of experience with Python/Node/Go/Ruby in a Linux environment.
Experience with complex cloud architectures with asynchronous communication.
Experience working with both relational and non‑relational databases.
Experience with monitoring and visualization tools.
Experience with Kubernetes (advantage).
Experience with prompt engineering or working with LLM-based systems (preferred).
A real passion for solving problems and delivering value.
The ability to write clean code, as well as continuously refactor and improve existing code.
The ability to work well autonomously and as part of a team.
Effective written and verbal English communication skills.

Requirements:
What we're looking for:

6+ years of backend engineering experience, with strong proficiency in more than one major programming language (such as Python, Java, Go, Rust, or Kotlin).
Solid understanding of AI systems architecture and experience working in environments involving AI agents, LLMs, or inference pipelines.
Proven experience in building and scaling backend APIs, microservices, and background jobs.
Strong experience with relational and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB, Redis), including schema design, data modeling, and query optimization.
Experience with message brokers and distributed systems (e.g., Pub/Sub, Redis Streams, RabbitMQ).
Highly adaptable, a strong team player, with the ability to quickly learn and apply new technologies.

Advantages:

Strong proficiency in Python and/or Node.js/NestJS.
Experience with clinical systems and healthcare data standards (FHIR, EMR/EHR).
Hands-on experience with AI agent frameworks such as LangChain, LangGraph, or LiteLLM.
Experience orchestrating hybrid model stacks combining commercial APIs (OpenAI, Google Gemini) with self-hosted or fine-tuned LLMs.
Familiarity with observability tools for AI systems (Langfuse, OpenTelemetry).

Requirements:
3+ years of experience in web development.
Strong proficiency in JavaScript, React, and modern frontend frameworks.
Experience with Node.js, Golang, or comparable programming language.
Passion for online publishing and content-driven platforms.
Comfort using AI-powered coding tools as part of your daily development workflow.
Self-motivated, collaborative, and excited about working as part of a global, hybrid team.

Requirements:
10+ years of backend development experience, with at least 3+ years in an architectural or senior technical leadership role
Strong hands-on experience with Python in production environments
Proven experience designing and building distributed systems and microservices architectures
Extensive experience with AWS (S3, SNS, Lambda, Batch, DynamoDB, RDS, etc.)
Experience with containerization and orchestration technologies (Docker, Kubernetes, Helm, Terraform, ArgoCD)
Deep understanding of scalability, high availability, resilience, and system design principles
Experience with monitoring and observability tools such as Datadog
Proven track record of delivering large-scale, high-quality SaaS products
Strong understanding of LLM application architecture: prompt/version management, tool/function calling, structured outputs, retrieval-augmented generation (RAG), and agent/workflow patterns.
Proven ability to design for AI reliability and safety: guardrails, policy enforcement, content filtering, hallucination mitigation, and failure-mode design (fallbacks, safe defaults).
Experience with data governance and privacy for AI: PII handling, retention policies, redaction, tenant isolation, and secure logging/tracing in SaaS environments.
Ability to control cost/performance tradeoffs: model selection strategies, caching, batching, streaming, rate limits/quotas, and capacity planning for AI workloads.
Experience integrating AI services into distributed systems on AWS (e.g., scalable inference/RAG pipelines, async jobs, event-driven orchestration).
Advantage

Deep understanding of networking concepts
Experience with event-driven architectures
Experience working with enterprise customers and complex technical environments
Experience with vector databases / embedding pipelines and retrieval systems (indexing, chunking, relevance tuning).
Experience with model gateways / multi-provider routing, prompt registries, and feature flagging for model & prompt rollouts.
Familiarity with security & compliance considerations for AI (SOC2-ready controls, audit trails for AI actions, customer data boundaries).
Experience enabling AI-assisted SDLC / SDD practices (AI in design docs, code review, incident analysis) with governance and standards.

Requirements:
Strong understanding of Frontend architecture and scalable software design
4+ years of hands-on experience in web development using TypeScript and FE Frameworks (preferably React).
Strong experience with both Class Components and Functional Components
Proven experience with state management libraries, including Redux and Zustand
Solid knowledge of CSS, SASS, and styled-components
Experience applying Functional Programming principles, alongside a good understanding of OOP
Hands-on experience working with bundlers, transpilers, and build tools such as Webpack and Vite
Ability to support the following:
Familiarity with or hands-on experience in microfrontend architecture - not mandatory but big advantage
BE experience (Fullstack development)
Experience with NPM modules.
Experience with CI/CD pipelines, test runners, and automated testing workflows Familiarity with storybook.
Working in Agile development methodologie.