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Requirements:
Spearhead Hands-on Agentic Development: Lead the design and implementation of agentic AI solutions, acting as a core technical contributor to aggressively push forward strategic, high-priority projects.
Embed and Accelerate: Fluidly join different development teams across the organization, learning their domains quickly and working side-by-side with them to accelerate the delivery of cutting-edge features.
Upskill and Enable: Act as a catalyst for AI-driven engineering by mentoring development teams on the practical, day-to-day usage of AI tools, transforming how they write, test, and ship code.
Master Context Switching: Work with a high degree of independence and flexibility, rapidly adapting to new technology stacks, architectural challenges, and business contexts as you move between teams.
Influence Without Authority: Build rapid trust and deep connections with engineers and leadership alike, leveraging your technical excellence and interpersonal skills to shape best practices and architectural decisions globally.

Requirements:
10+ years of hands-on software development experience with extensive background in Python or/and C++ (advantage) within cloud-based microservices environments.
Windows communication and authentication protocols, including WinRM, LDAP, and Kerberos.
Deep understanding of cloud architecture patterns, RESTful APIs, asynchronous workflows, and event-oriented design.
AI development skills (e.g., prompt engineering, API integration, LLM tooling, or basic ML/AI model usage)
Passionate about system design, high-quality code, peer code reviews, performance optimization, and challenging the status quo.
Excellent written and verbal communication skills in English with the ability to articulate complex architectural decisions simply.
How will you stand out from the crowd:
Extensive experience building enterprise-scale SaaS applications using AWS services and Infrastructure-as-Code (AWS CDK or Terraform).
Solid understanding of security protocols, networking best practices, and Identity & Access Management concepts .
Hands-on experience with modern CI/CD automation tools (GitHub, Jenkins, Artifactory)
Architected and implemented end-to-end AI capabilities by developing custom skills, sub-agents, and LLM integrations including robust guardrails.

Requirements:
5+ years of hands-on experience working as a Software, DevOps, or infrastructure developer.
Significant development experience with the following: Python, Groovy, Bash, PowerShell
Deep knowledge and experience in cloud infrastructure such as AWS, Azure, or Google Cloud
Experience with Containers and Orchestrators (Docker, Kubernetes, ECS, etc.)
Experience with CI/CD Tools and Configuration Management Systems (e.g. Jenkins, Git, Ansible, Terraform, etc.)
Experienced with building the full application release cycle (CI/CD).
Experience in creation of highly automated Infrastructures - as code
Knowledge of operating system administration
Excellent design and analytical skills
Creative troubleshooting skills and out-of-the-box thinking.
Know your way around the open-source community
Strong communication skills, Team player
Open-minded, Creative out of the box thinker.
A thorough and methodical approach to any task, ability to plan, conduct, prioritize, track and measure processes
Decision-making skills: taking into account both architectural and business considerations, at times with incomplete information.
Strong ability to use new technologies and understand them in depth through rapid self-learning.
Proactive by nature; internal drive for excellence and improvement
Highly motivated, autonomous
Fluent in English, good writing skills
How will you stand out from the crowd:
BA in Computer Science or MAMRAM graduate
Experience in testing methodologies and developing tests (e.g Unit tests, integration tests, system tests)
Strong networking foundations (TCP/IP, DNS, Network Protocols, Routing)
Security principles and techniques (Risk management, Threat modeling, secure configuration)
Database usage experience and understanding
Experience with Agile development and practices
Cloud Solution Architect Certificate.

Requirements:
Proven PM Leader: At least 5 years of Product Management experience, including at least 1 year managing Product Managers or closely related technical product roles.
Cyber Security Background: Hands-on experience in cyber security preferably in the Identity security domain.
Preferred Qualifications:
Cloud Security Expertise: Direct experience with cloud provider IAM (AWS IAM, Azure Entra ID, GCP IAM), role-based access controls, or just-in-time / just-enough-access frameworks in enterprise environments, Kubernetes and SaaS applications.
Session & Audit Depth: Familiarity with session recording, behavioral analytics, or compliance audit requirements (SOC 2, ISO 27001, HIPAA) in cloud or privileged access contexts.
Enterprise Go-to-Market Instinct: Experience bringing technically complex security controls to market - working with field teams, customers, or partners to translate deep features into clear, adopted capabilities.
Builder Mindset: You lead by creating context and clarity - able to coach a team through ambiguity, align cross-functional partners around a vision, and hold the line between strategic direction and tactical execution.

Requirements:
Your Experience
Bachelors degree in Computer Science, Software Engineering, or a related technical field.
High-Level Language Expertise: 5+ years of hands-on experience building production-grade software in languages such as Python, Java, Go, C#, or Scala.
Cloud Engineering: 2+ years designing and deploying cloud-native solutions on major cloud platforms (AWS, GCP, or Azure).
Proven Delivery Record: Demonstrated track record of taking complex software products from initial design to production delivery with measurable business impact.
AI Tool Proficiency: Hands-on experience using modern AI coding assistants (e.g., GitHub Copilot, Cursor, Claude Code) and productivity agents to accelerate technical output.
SDLC / ASDLC Mastery: Strong expertise navigating full lifecycle software development, with a clear advantage for candidates experienced in an Agentic SDLC (ASDLC) environment.
Preferred Qualifications
Serverless Architectures: Experience designing event-driven, serverless systems (e.g., AWS Lambda, Cloud Functions, EventBridge).
Data & Messaging Ecosystems: Experience with modern storage platforms (e.g., Vector DBs, Apache Iceberg, Aurora, DynamoDB, Redis, Graph DBs) and messaging systems (e.g., SQS, RabbitMQ, MSK, or cloud equivalents).
Agentic Engineering & RAG: Hands-on experience building Retrieval-Augmented Generation (RAG) systems, deploying AI agents, structuring context/prompt pipelines, or authoring custom AI skills.
Advanced Degree: Masters degree in Computer Science or a quantitative field.

Requirements:
10+ years experience in backend software engineering
At least two years hands-on experience building and shipping production-grade SaaS or cloud-nativeservices (AWS preferred)
Proven ability to quickly learn and adapt to new technologies, taking on tasks with a proactive, can-do attitude and a strong commitment to expanding beyond the comfort zone within the teams tech stack-including Python, C++, Go and Typescript (React).
Hands-on proficiency with modern AI-assisted development tools (e.g., Cursor, Claude Code, GitHub Copilot) to accelerate design, implementation, and code reviews, with clear judgment on when to leverage AI.
Exceptional interpersonal skills with the ability to collaborate effectively within a team
Bachelors Degree in Computer Science or Engineering related field / technology Elite unit alumni with relevant experience.
Preferred Qualifications
Experience with Python/Go/C++ programming languages
Proficiency in networking protocols and diagnostic tools (eg. wireshark), foundational security principles, or databases
Strong expertise in Linux systems, containerization architectures (Docker, Kubernetes/ECS), and multi-threaded system programming.
Experience designing, implementing, and scaling robust Agentic AI solutions and multi-agent workflows, including developing custom Model Context Protocol (MCP) servers and integrations to autonomously resolve complex tasks.

Requirements:
5+ years of hands-on experience as a Data Scientist, with proven ability in designing, building, and deploying solutions utilizing LLMs, RAG, or other Agentic AI frameworks.
Msc degree from a university in Computer Science, Statistics, Mathematics, Engineering, Data Science or related field, with a thesis on Data Science. GPA above 85.
Solid understanding of machine learning fundamentals and a strong grasp of data structures, algorithms, and probability.
Demonstrated independent research capabilities and a self-driven approach to learning and problem-solving.
Passion for solving meaningful problems and eagerness to learn in a fast-paced, collaborative environment.
Strong communication skills and ability to explain technical concepts to different audiences.
Additional information
Hands-on experience with deep learning frameworks (e.g., PyTorch, TensorFlow) or NLP libraries (e.g., Hugging Face).
Experience working with cloud platforms (e.g., AWS, GCP) or distributed data tools (e.g., Spark).
Knowledge or interest in cybersecurity - a big plus!

Requirements:
8+ years of experience in software engineering, SDET, or quality engineering roles.
Proven experience designing and building automation frameworks and infrastructure at scale.
Strong programming skills in Python, TypeScript/JavaScript, Java, C#, or similar languages.
Experience with cloud-native technologies such as Kubernetes, Docker, and distributed systems.
Experience with CI/CD pipelines and modern software development practices.
Strong understanding of software testing methodologies, automation architecture, and quality engineering principles.
Excellent technical communication, collaboration, and mentoring skills.
Your Experience
Experience with AWS and cloud-native SaaS platforms.
Experience with Infrastructure-as-Code (AWS CDK, Terraform).
Experience with UI automation frameworks such as Playwright.
Experience with performance, scalability, and resilience testing.
Knowledge of Identity and Access Management concepts (SSO, OAuth2/OIDC, SAML, RBAC/ABAC).
Experience working in cybersecurity or enterprise SaaS environments.
Experience building end-to-end features using models from AI providers like OpenAI or Anthropic.

Requirements:
Required Qualifications
Minimum of 5+ years of hands-on experience in a BI, Product Analytics, or Data Analytics role.
Bachelors degree in Industrial Engineering, Information Systems, Computer Science, or a related quantitative field.
Advanced expertise in building, optimizing, and maintaining scalable Tableau dashboards and visual analytics solutions.
Expert-level SQL skills and solid data modeling intuition for complex analytical tasks.
Outstanding cross-functional communication skills to present complex findings to non-technical stakeholders.
Proven track record of independently managing end-to-end BI projects and taking complete ownership of deliverables.
Preferred Qualifications
Proficiency in Python for basic data manipulation, scripting, or analysis.
Experience creating AI-assisted prompts or custom workflows for automated data tasks and analytics generation.
Strong interest or proven experience in mentoring peers, setting visual standards, and leading analytics enablement efforts.

Requirements:
A minimum of 10 years of professional experience, with demonstrated expertise in SaaS-based software architecture.
A collaborative technical leader who develops those around them and works constructively with peer architects to advance shared architectural goals.
Strong track record of leading POCs and hands-on technical exploration to introduce new technologies and continuously advance the product architecture.
A proactive, results-driven mindset with strong decision-making skills that balance architectural excellence and business priorities.
Strong understanding of system integration design patterns, with the ability to anticipate, assess, and mitigate technical risks.
Hands-on experience with containerized environments (Kubernetes, Docker, EKS, ECS, etc.) and/or serverless technologies (e.g., AWS Lambda).
Excellent verbal and written communication skills, with full professional fluency in English.
Highly self-directed, with a strong commitment to quality, continuous improvement, and technical excellence.
A self-learner with a passion for exploring new technologies and sharing knowledge across the team.
What Will Set You Apart
Proficiency in Go, Ruby, or Java.
Strong hands-on experience with AWS cloud services.
Deep understanding of security principles and best practices for building highly scalable systems.
In-depth knowledge of authentication and authorization protocols.
Previous experience as an R&D manager.

Requirements:
10+ years of software engineering experience across modern, enterprise-grade technology stacks.
5+ years of hands-on experience architecting and implementing highly available, fault-tolerant solutions on AWS.
Deep expertise in security principles and best practices, including OWASP guidelines, encryption standards, and enterprise authentication protocols (LDAP, RADIUS, SAML, OIDC).
Exceptional executive-level communication skills, with a demonstrated ability to translate complex technical decisions into clear, strategic narratives for senior stakeholders.
5+ years of C++ development experience, with a strong track record of designing and delivering high-performance, high-availability systems.
Comprehensive understanding of networking fundamentals and remote communication protocols, including RDP, WinRM, and SSH.
5+ years of experience with modern CI/CD pipelines and cloud deployment automation, including tooling such as Jenkins and related
infrastructure-as-code practices.
Preferred Qualifications
Proven experience in agentic development, including the design and integration of AI-driven autonomous systems.
Proficiency in Python, with practical experience leveraging Python libraries in production environments.