דרושים » תוכנה » Solutions Architect

Requirements:
Bachelor of Science in Computer Science/Software Engineering or related field
5+ years of experience with Backend Engineering in a high-level programming language (e.g. Java, C#, Python, Go)
3+ years of experience as a Team Lead
Experience with cloud platforms and products (e.g. AWS, GCP and Azure)
Experience implementing data-intensive systems (message queue technologies)
Experience with microservices based architecture
Experience in the cyber security industry - advantage.

Requirements:
Excellent analytical, diagnostic skills, and problem-solving skills
High motivation for a role that combines deep technical and customer-management dimensions
Confidence speaking and presenting in a collaborative customer setting
2+ years of software development/consulting/support experience, preferably in several distinct industries/verticals
Familiarity with enterprise-scale software architectures, application development methodologies, and software deployment and operations
Competence in at least one of the following languages (in no particular order): Java, C++, C#, C#, Node.js (JavaScript), Ruby, Perl, Scala, Go
Experience with databases such as MongoDB, Oracle, MS SQL Server, and PostgreSQL
Familiarity with Linux diagnostics and tuning; Windows tuning knowledge is a plus
Should be capable and comfortable with frequent travel for short trips to customer sites during the working week
Should have strong capability with, minimally, both English and any local language - as necessary

Requirements:
Minimum 7 years of full-stack development experience, with at least 2 years in a leadership role.
Strong experience with Node, React, Python, SQL or any equivalent language.
Experience with cloud, DevOps, and modern tooling (e.g., GCP/AWS, Kubernetes, Docker, CI/CD).
Excellent problem-solving skills and ability to handle multiple projects in a fast-paced environment.
Strong communication skills, with the ability to interact effectively with both technical and non-technical stakeholders.
Passion for innovation, AI technology, and building scalable, impactful products.
BSc in Computer Science, or Engineering degree is a plus.
Ability to thrive in a fast-paced, dynamic environment with a proactive and goal-oriented mindset.

Requirements:
Technical Expertise:
Advanced proficiency in Python for backend development and AI systems
Deep understanding of large language models and generative AI techniques
Hands-on experience designing and implementing multi-agent architectures
Advanced prompt engineering and orchestration strategies
Strong background in microservices architecture, API development, and production system design
Hands-on experience with at least one major cloud platform (GCP, Azure, or AWS)
Professional Experience
3-4+ years of experience in AI/ML development with significant GenAI project exposure
Proven experience in end-to-end software development in Python
Proven experience deploying and maintaining AI systems in production
Client-facing experience in technical consulting or solution delivery roles
Advantages:
Hands-on experience developing directly against LLM provider SDKs and APIs (e.g., OpenAI, Anthropic, Google), including tool/function calling, streaming, and advanced orchestration patterns
Docker and Kubernetes experience
OCR systems and document intelligence experience
Data pipeline development and maintenance experience
Education & Background:
Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or related field (or equivalent demonstrated industry experience)
Soft Skills:
Strong problem-solving and analytical capabilities
Excellent technical communication skills
Ability to collaborate effectively across teams
Adaptability in fast-paced, evolving technical environments
Consulting mindset with strong client focus

Requirements:
Strong proficiency in C/C++, with a focus on performance and reliability.
BSc/MSc in Computer Science or an equivalent field.
Experience in Linux development (advantage).
Networking experience (advantage).
Familiarity with security principles and practices.
Problem-solving skills and the ability to work on complex systems.
Team player with excellent communication skills.
Nice to Have:
Experience with scripting languages like Python or Bash for automation.
Familiarity with open-source frameworks and tools commonly used in security applications.
Knowledge of network protocols or cryptographic libraries.

Requirements:
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:
5+ years of experience as a Software Engineer
2+ years of experience in people management
Bachelors degree in Computer Science, Engineering, or a related field
Hands-on experience with modern programming languages: Python / JavaScript / C# / Java / Golang / Scala
Proven experience writing code in Agile and CI/CD-based environments
Experience with Generative AI (GenAI) technologies
Advantage: Experience working on large-scale cloud-based services
Advantage: Previous experience in companies with Security / Cybersecurity products
Flexibility and resilience in a dynamic environment
Strong leadership skills with a proven track record of leading and mentoring technical teams
Excellent problem-solving and analytical abilities
Positive, can-do attitude

Requirements:
5+ years of experience building large-scale applications across diverse technologies and platforms.
4+ years of experience working with frontend JS frameworks such as React or Angular.
4+ years of experience in programming backend services in NodeJS.
Experience working with both SQL and NoSQL databases such as PostgreSQL, MongoDB, Redis, or equivalents
Experience with developing and deploying apps to a cloud environment
Experience working with modern CI/CD tools and processes
Great communication skills with verbal and written skills in English
Proactive and entrepreneurial mindset committed to pushing boundaries, taking responsibility, and driving initiatives forward.
Experience with map applications - an advantage

Requirements:
You have 5+ years of experience building backend software in production, using languages like Go, Python, Java, C++, or Rust
Youve contributed to the design and development of backend services or APIs, and enjoy solving real-world engineering problems
Youve had some exposure to distributed systems (e.g., fault tolerance, messaging, scalability) and are excited to deepen your expertise
You write clean, maintainable code and approach system design with thoughtfulness and curiosity
Youre collaborative and eager to grow your impact by working on high-scale, high-reliability systems
Youre excited about leveraging AI tools to enhance how you code, solve problems, and build - or eager to learn how
You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output
Bonus: Youre motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products

Requirements:
5+ years as a Team Leader, with proven experience and a strong record of leading development teams
10+ years of engineering experience in software development
Experience leading and mentoring highly skilled developers toward technical and professional excellence
Deep understanding of backend development of SaaS and microservices, using cloud-native practices
Familiarity with DevOps and Kubernetes domains, with the ability to define requirements and collaborate closely with DevOps engineers
Solid understanding of frontend development and the ability to guide frontend engineers
Hands-on experience in Go, Java, C++, or C#
Knowledge of TypeScript or JavaScript is an advantage
Proven experience designing and implementing scalable, reliable, high-performance production systems
Strong architectural skills, with the ability to make sound design and implementation decisions
Ability to manage delivery, set milestones, and resolve technical and organizational challenges
A self-driven and fast-learning mindset, able to quickly adapt to new technologies and evolving product needs
Experience working in both startup and enterprise environments is an advantage
Familiarity with AI-powered development tools and agentic technologies is an advantage