לוח משרות דרושים הייטק

Requirements:
3+ years of experience in DevOps, SRE, or Cloud Engineering
Proficient in at least one major cloud provider: AWS, Azure, or GCP
Hands-on experience with Terraform and Python automation
Proven ability to design and implement cloud-native architectures
Built secure Landing Zones with strong network/security best practices
Experience with monitoring tools such as Prometheus, Datadog, or ELK
Comfortable with Kubernetes, Docker, and Serverless infrastructures
CI/CD experience using Azure DevOps, GitHub Actions, or GitLab
Bonus Points:
Experience with LLMOps and vector databases (e.g., Pinecone, Weaviate)
Background in anomaly detection or AI/ML-based alerting systems
Knowledge of FinOps practices and cloud cost optimization.

Requirements:
3+ years of experience in technology consulting, with at least 2 years focused on Generative AI.
Proven track record in managing client-facing projects, including budgeting, timelines, and stakeholder communication.
Strong understanding of language models (LLMs), tools like OpenAI, Hugging Face, and cloud platforms (AWS, Azure, GCP).
Ability to translate business needs into scalable AI solutions.
Excellent command of English spoken and written.
Leadership experience or mentoring capabilities.

Requirements:
Minimum 5 years of experience in technology project delivery, with at least 3 years in a professional services environment (e.g., Big 4, system integrators, software houses).
Proven experience managing vendors, subcontractors, and matrixed teams.
Strong understanding of enterprise technology and business processes.
Excellent communication and stakeholder management skills, including experience working with senior executives.
Fluent in Hebrew and English verbal and written.
Bachelors degree in a relevant field (Computer Science, Engineering, Information Systems, Business); Masters degree an advantage.
PMP / Agile certifications strong advantage.
Experience in delivering Data and AI-related projects a significant advantage.

Requirements:
2 - 4 years of experience in manual software testing.
Experience testing web-based systems in dynamic environments.
Experience testing for REST APIs and APIs in general.
Knowledge of API testing tools (postman etc).
Strong understanding of QA methodologies, SDLC, and bug lifecycle.
Hands-on experience with bug tracking and test management tools (e.g., Jira, TestRail).
Detail-oriented mindset with strong communication and problem-solving skills.
Comfortable working independently and across teams.
Excellent written and verbal English skills - both for documentation and for collaborating across teams.
Experience working in Agile/Scrum environments.
Familiarity with SQL for data validation.
B.Sc. in Computer Science or a related field is a plus.

Requirements:
Proven experience with LLMs and GenAI technologies
Hands-on development of RAG-based systems and applications
Strong backend development skills (Python, APIs, microservices)
Experience with cloud platforms: GCP, Azure, AWS
Ability to work independently and collaboratively in dynamic environments
Passion for innovation and solving complex challenges with AI.

Requirements:
Data Analysis Proficiency: Experience with SQL (e.g., ClickHouse, PostgreSQL), Python (e.g., Pandas), and BI tools (e.g., Superset, Tableau).
Ownership & Independence: Able to work autonomously, take initiative, and fully own your projects and workflows.
Analytical & Curious Mindset: A curious mindset with the ability to spot patterns and turn data into actionable ideas.
Collaborative Attitude: Strong collaboration skills; comfortable working with multiple teams and adapting to their needs.
Product Thinking: Understanding of product context and how data impacts users, features, and business outcomes.
Communication: Clear in written and verbal English; skilled at turning complex analysis into simple takeaways.
Attention to Detail: Accurate, thorough, and quality-focused when working with large and sensitive datasets.
This role is also suitable for recent graduates with a relevant degree, even without prior experience.
Bachelors degree in a relevant field such as Industrial Engineering, Information Systems.

Requirements:
Two years of experience
Hands-on capabilities on Microsoft Power Platform or Dynamics 365
Knowledge and understanding of technological processes such as identification, design, development, and testing of client requirements
Fluent control of the English Language
Experience from the world of consulting is an advantage
Preliminary acquaintance with AZURE is an advantage
Capability to self-teach, self-start, think independently, and take initiative are always a plus.

Requirements:
4+ years of experience in software development, with at least 2 years in AI/ML-related roles.
Proven hands-on experience with Generative AI frameworks and tools (e.g., OpenAI, Hugging Face, LangChain, LlamaIndex, vector databases).
Strong programming skills in Python (including libraries such as PyTorch, TensorFlow, Transformers).
Experience with cloud platforms (Azure / AWS / GCP) and deploying AI models in production.
Solid understanding of ML lifecycle, MLOps, and data pipelines.
Experience working in or with professional services / consulting firms an advantage.
Excellent communication skills and ability to work with both technical and non-technical stakeholders.
BSc or MSc in Computer Science, Data Science, Engineering, or a related field.
Nice to Have:
Experience with Retrieval-Augmented Generation (RAG), fine-tuning LLMs, or building custom copilots.
Familiarity with enterprise use cases in finance, healthcare, or public sector.
Contributions to open-source AI projects or research publications.

Requirements:
Technical Expertise:
Programming: Advanced proficiency in Python for backend development and AI applications
GenAI Mastery: Deep understanding of large language models (LLMs) and experience with major model APIs (OpenAI, Anthropic, Google, etc.)
Multi-Agent Systems: Expertise in designing and implementing GenAI multi-agent architectures
Prompt Engineering: Advanced skills in prompt design, optimization, and engineering techniques
Cloud Platforms:
Required: Hands-on experience with AI services in at least one major cloud platform (GCP, Azure, or AWS)
Advantage: Experience across multiple cloud platforms (AI Search, Vertex AI, SageMaker, etc.)
Development Frameworks: Experience with GenAI frameworks like LangChain and cloud-based retrieval services
Software Engineering: Strong background in microservices architecture, API development, and production system design
AI/ML Fundamentals: Solid understanding of deep learning principles and GenAI techniques
Containerization (Advantage): Experience with Docker and Kubernetes for deployment and orchestration
OCR Technologies (Advantage): Experience with Optical Character Recognition systems and document processing
Data Pipelines (Advantage): Experience building and maintaining data processing pipelines
Professional Experience:
Mid+ Level Experience: 2+ years in AI/ML development with significant GenAI project experience
Production Systems: Proven track record of deploying and maintaining AI solutions in production environments
Client-Facing Experience: Comfortable with technical presentations and requirement gathering sessions
Education & Background:
Preferred: Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or related technical field
Alternative: Demonstrated industrial experience in developing deep learning and GenAI solutions (degree not required with strong portfolio)
Soft Skills:
Problem-Solving: Excellent analytical and creative problem-solving abilities
Communication: Strong technical communication skills for both technical and non-technical audiences
Collaboration: Proven ability to work effectively in cross-functional teams
Adaptability: Thrives in fast-paced environments and eager to learn emerging technologies
Consulting Mindset: Ability to understand client needs and provide strategic technical guidance.

Requirements:
Minimum of 3 years of experience in project or product management, including hands-on experience with AI-related initiatives.
Strong understanding of data architecture, data management, and analytics frameworks.
Proven track record of delivering AI and Generative AI capabilities into productionfrom concept to full implementation.
Ability to communicate complex technical concepts to non-technical stakeholders.
Experience managing complex projects with multiple stakeholders; strong organizational and project management skills.
Strong analytical thinking and critical reasoning skills; ability to derive insights from data and make data-driven decisions.
Excellent verbal and written communication skills; ability to present ideas clearly and persuasively to diverse audiences.
Deep understanding of client needs and a passion for delivering value through innovative solutions.
Ability to thrive in a dynamic, fast-paced environment with multiple priorities and tight deadlines.

Requirements:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field
3+ years of experience in data engineering
Expertise in Elasticsearch, cloud technologies (such as AWS, Azure, or GCP), Kafka and Databricks
Proficiency in programming languages such as Python, Java, or Scala
Experience with distributed systems, data warehousing and ETL processes
Experience with Container environment such AKS\EKS\OpenShift is a plus
high security clearance is a plus.

Requirements:
1-5 years of professional B2B tech sales/ BD or BDR. experience/partnerships/management/ consultancy experience - MUST.
Native French and English speaker - Strong verbal and written. communication skills - MUST.
Experience in payments and/or eCommerce - an advantage.
Sales-oriented and highly motivated.
Good analytical & research skills and ability to use both in an effective and relevant way in a sales process.
Strong interpersonal skills, approachable, and able to build strong and long-term relationships with prospects.
Excellent public speaking skills.
Must be able to interact and communicate with individuals at all levels of the organization.
Ability to work in a fast-paced sales environment with minimum supervision.
Technical experience - an advantage.
Consulting background - an advantage.
Additional languages - an advantage.

Requirements:
8+ years of hands-on software development experience, including at least 5 years in cloud-native SaaS full-stack teams.
3+ years of proven success as a Tech Lead or Staff Engineer.
Bachelors degree in Computer Science (or equivalent) preferred.
Experience leading projects spanning multiple systems or teams.
Mastery of JavaScript/TypeScript and modern frameworks (Node.js, React, Next.js).
Strong experience with microservices, API design (REST/GraphQL), data modeling, and event-driven systems.
Solid understanding of system design, distributed architectures, and performance tuning.
Deep knowledge of CI/CD pipelines, Infrastructure-as-Code, cloud platforms (AWS/GCP/Azure).
Leadership & Mindset

Thrives in high-autonomy, fast-paced product squad environments.
People-first operator: raises the level of those around them - through mentorship, clarity, energy, influence and strong technical example.
Driven by impact: your squad owns a business-critical product relied on daily by customers. You dont just ship code - you deliver stability, reliability, and velocity at the core of the user experience.

Requirements:
8+ years of hands-on development experience in high-performance, large-scale systems
5+ years working in high-scale cloud SaaS product companies (preferably B2B)
3+ years of proven success leading full-stack product teams using a JavaScript-centric stack (Node.js, React, Next.js, TypeScript)
Bachelors degree in Computer Science (or equivalent) from an accredited institution
Mastery of JavaScript/TypeScript and modern front-end/back-end frameworks
Deep experience with microservices, API design (REST/GraphQL), data modeling, and event-driven architectures
Strong system design and architectural skills across complex, distributed systems
Solid understanding of cloud infrastructure (AWS/GCP/Azure), deployment automation, monitoring, and performance tuning
Experienced in CI/CD pipelines, DevOps collaboration, and Infrastructure-as-Code practices
Proven ownership and accountability for customer-facing, production-grade services
Owns architectural vision, sets development standards, and leads by example
Builds and scales high-performing teams - attracts top talent, mentors effectively, and fosters a culture of high retention
Drives execution with autonomy, velocity, and accountability
Collaborates seamlessly across product, design, QA, and customer-facing teams.