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Requirements:
5+ years of experience as a software engineer or data scientist building production systems.
2+ years of experience with large language models and NLP techniques
Background in developing AI agents for content heavy tasks.
Experience with multiple LLM Vendors, RAG or Fine Tuning OSS or Commercial models.
Technical Sills:
Proficiency in Python and machine learning libraries such as TensorFlow or PyTorch.
Deep understanding of LLM architectures and NLP applications like entity recognition, document classification, and summarization.
Experience with model grounding techniques, retrieval-augmented generation (RAG), and deploying robust AI models in production environments.
Skills in designing and deploying AI models through APIs, containerization (Docker, Kubernetes), and cloud platforms (AWS, GCP, Azure).
Understanding of best practices for continuous monitoring, evaluation, and iterative improvement of deployed models.

Requirements:
5+ years of experience in software engineering with a focus on AI-driven or autonomous systems.
Proven track record of deploying AI models or agents in production environments.
Technical Skills:
Proficiency in Python.
Databases: Proficiency in SQL (PostgreSQL, MySQL) and NoSQL (e.g. Document DB, Vector DB).
Cloud: Experience deploying large scale production applications on AWS, GCP, or Azure.
Security: Understanding of OAuth2, JWT, and best practices for securing systems.

Requirements:
5+ years of experience as a frontend, fullstack, or software engineer.
Proven experience building production-grade web applications, preferaby in AI-driven or data-intensive environments.
Experience working in early-stage startup environments is a plus.
Technical Skills
Frontend
Proficiency in modern frontend frameworks such as React, Vue, Svelte, or Angular (bonus for React or Svelte).
Strong skills in TypeScript, JavaScript, HTML, CSS.
Experience with UI/UX best practices and responsive design.
Backend
Experience building APIs using Node.js Strong understanding of REST/GraphQL API design.
Experience with SQL (PostgreSQL, MySQL)
Experience with CI/CD pipelines for automated testing and deployment.

Requirements:
5+ years of experience in backend or infrastructure engineering, ideally supporting production AI/ML systems or high-throughput data pipelines.
Proven track record of building and scaling infrastructure in production environments.
Technical Skills:
Proficiency in Python.
Databases: Proficiency in SQL (PostgreSQL, MySQL) and NoSQL (e.g. Document DB, Vector DB).
Cloud: Deep experience deploying and scaling large production applications on AWS, GCP, or Azure.
Containerization and orchestration: Docker, Kubernetes.
Security: Strong understanding of OAuth2, JWT, and best practices for securing distributed systems.

Requirements:
8+ years in platform engineering roles
4+ years leading distributed technical teams
Proven track record building and scaling SaaS products from ground up
Experience with large-scale installations under enterprise security requirements
Fluent English and Hebrew. Experience leading multi lingual and global teams
Technical Skills:
Expert in cloud platforms (AWS, Azure, GCP) and hybrid architectures
Proficient with Kubernetes, Docker, Infrastructure as Code (Terraform, Ansible)
Strong knowledge of CI/CD pipelines, monitoring, and observability platforms
Deep understanding of security best practices and compliance frameworks
Experience with C# development is an advantage.

Requirements:
8+ years of DevOps/SRE experience in SaaS or cloud-native environments
4+ years in a senior leadership role, including direct experience managing managers or team leads, not just ICs
Strong hands-on background with Terraform/Terragrunt, Kubernetes (AKS), Helm, and Istio, with enough depth to review and challenge technical decisions directly
Track record of leading organizational change initiatives from strategic framing through execution
Proven ability to mentor senior engineers and develop other managers
Strong cross-functional collaboration skills, particularly with Security and Product leadership
Experience with Zero Trust architecture, PIM/RBAC, and secure network configuration in Azure
Preferred Qualifications:
Experience scaling a DevOps or platform function through a management layer (i.e., building out team leads under you)
Experience with Kafka, event-driven systems, and distributed systems architecture
Background in identity, security, or compliance-heavy SaaS products
Experience presenting technical strategy to executive audiences
History of building internal platforms or tools adopted by other engineering teams

Requirements:
4+ years of experience in Product Support, including leadership or team management responsibilities.
Deep understanding of Semperis products and technologies.
Experience with Active Directory, Microsoft 365, Okta and identity and access management solutions.
Understanding of DNS, networking concepts, and security protocols.
Advanced PowerShell scripting skills for automation, diagnostics, and troubleshooting.
Experience supporting production software environments and resolving customer-impacting issues.
Excellent written and verbal communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences.
Business Experience:
Demonstrated leadership experience, including coaching, mentoring, and serving as an escalation point within a support organization.
Strong organizational skills with the ability to manage competing priorities while maintaining high customer satisfaction.
Experience working with cloud platforms such as Microsoft Azure, AWS, and Google Cloud Platform (GCP).
A proactive approach to learning new technologies and adapting to changing customer needs.
Strong analytical and problem-solving abilities, including the ability to define issues, collect data, identify root causes, and drive effective solutions.
Understanding of identity and access management (IAM), cybersecurity solutions, and the broader identity security market landscape.

Requirements:
Must have qualifications
5+ years of professional software development experience.
Strong experience with both backend development (Python/Node.js/Go) and modern frontend frameworks (React, Vue, or similar).
Experience developing cloud-native applications on AWS, GCP, or Azure.
Experience building distributed systems using technologies such as Kafka, RabbitMQ, Amazon SQS, or similar.
Ability to design and consume RESTful APIs and work with modern build pipelines.
Preferred background
Experience building complex dashboards, data visualizations, or interactive UX.
Experience with TypeScript and modern frontend tooling.
Knowledge of cloud internals (AWS, Azure, GCP).
Familiarity with the cybersecurity domain.
B.Sc. in Computer Science or equivalent experience (including military).

Requirements:
Must have qualifications:
5+ years of experience developing backend systems and distributed services.
Deep knowledge of backend development using Python, Go, or Node.js (Python preferred).
Hands-on experience building cloud-native systems deployed on AWS, GCP, or Azure.
Strong experience with distributed messaging and processing frameworks such as Kafka, RabbitMQ, Amazon SQS, Celery, or similar.
Strong understanding of system design, scalability, observability, and performance optimization.
Preferred background:
Experience designing RESTful APIs with OpenAPI specifications.
Knowledge of cloud provider internals and cloud infrastructure patterns.
Experience in cybersecurity, data processing, or analytical product domains.
Experience with async programming (e.g., asyncio).
B.Sc. in Computer Science or equivalent experience (including military).