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Requirements:
Bachelors degree in computer science, Software Engineering, or a related field.
4+ years of hands-on development experience with Python and AWS.
Proven experience with infrastructure as code (preferably AWS CDK, Terraform, or CloudFormation).
Strong knowledge of AWS architecture and services, particularly in data/ML workloads.
Deep experience with CI/CD pipelines (Jenkins or similar).
Strong expertise in Docker and containerized applications.
Demonstrated knowledge of cloud security, scalability, and tenant isolation.
Hands-on experience with observability platforms (preferably Datadog).
Self-motivated and goal-oriented with a high work ethic.
Additional Information
Background in MLOps, Data Platforms, or Machine Learning workflows.
Experience with additional monitoring and logging tools (CloudWatch, Prometheus, ELK).
Leadership experience in scaling cloud-native platforms.
Experience in information security an advantage
Understanding of identity & access management, secrets management, or zero-trust architecture - Bonus.

Requirements:
6+ years of industry experience in AI/ML or Data Science, with at least 1-year leading teams and managing direct reports.
Masters degree or PhD in a technical field (e.g., Computer Science, Machine Learning, Statistics, Engineering).
Solid proficiency in Python and machine learning libraries/frameworks such as scikit-learn, PyTorch, TensorFlow, or Hugging Face.
Strong familiarity with natural language processing (NLP), including LLMs and transformer-based architectures, and their applications to real-world use cases.
Strong technical communication skills and the ability to collaborate across cross-functional teams.
Strategic mindset with the ability to connect AI research to business value and product opportunities.
Additional Information
Familiarity with cybersecurity, identity security, or risk mitigation use cases.
Experience with cloud-based ML infrastructure (e.g., AWS SageMaker, GCP Vertex AI) and big data tools (e.g., Spark, Airflow).
Hands-on knowledge of MLOps tooling for CI/CD, monitoring, and versioning of ML assets.
Publications, patents, or open-source contributions in AI/ML.

Requirements:
5+ years of hands-on experience with GoLang and/or modern C/C++, including system-level programming.
5+ years of experience working with Linux operating systems, including:
Deep understanding of Linux architecture, system calls, and module development.
Experience with Kernel debugging, eBPF and LSM frameworks - advantage
Proven expertise in Linux security: SELinux, namespaces, capabilities, PAM, and secure boot.
Strong background in software architecture, including:
Designing scalable, modular, and testable systems - advantage
Familiarity with Python, CI/CD pipelines, containerization (Docker) advantage
Excellent problem-solving skills and ability to work independently in a fast-paced environment.

Requirements:
At least 5 years in managerial (group manager or above) roles preferably with experience in NLP / Generative AI / LLMs / Agents
Hands-on experience with AWS or other cloud platforms 
Strong analytical skills with a focus on quantifiable model evaluation and continuous improvement 
Excellent communication and leadership skills, with the ability to drive a data-driven and innovative culture and collaborate with multiple R&D teams  
A proactive, problem-solving mindset with the ability to execute in a fast-paced and a dynamic environment 
Additional Information
How you will stand out from the crowd: 
Experience in cybersecurity and AI-driven security solutions 
Strong understanding of NLP, LLM and their fine-tuning, and AI model optimization techniques, Agentic architectures and frameworks, MCP. 
Familiarity with AWS services (SageMaker, Bedrock, Lambda, etc.) 
Experience in Agile methodologies and CI/CD pipelines for AI development 
A track record of publications or contributions to the AI research community.

Requirements:
5+ years of backend or systems development experience, primarily in Python.
Strong understanding of secure API development, authentication models (JWT, OAuth2), and basic access control patterns.
Exposure to secrets management platforms (AWS Secrets Manager, our company Conjur, etc.) - bonus.
Familiarity with or strong interest in AI agent frameworks (LangChain, AutoGen, LlamaIndex, etc.).
Exposure to identity and access management concepts especially in zero-trust or dynamic runtime environments is highly valuable.
Experience building SDKs or developer-focused tools is a plus.
A security-first mindset, attention to detail, and strong debugging/testing skills.
Excellent communication and collaboration skills youll be interfacing with multiple engineering groups to deliver complete and secure solutions.

Requirements:
3+ years of experience as a functional analyst/product owner/product manager/product or solutions architect/lead engineer, in the software industry. Experience in writing functional designs.
Experience with Cloud, specifically Data and ML frameworks over AWS, GCP or Azure
At least 8 years of experience in the software industry.
Innovator by nature. Thinking out of the box.
Excellent communication and presentation skills.
Proven technical skills and self-learning ability, capable of thoroughly understanding the functional and technical aspects of a complex system.
Proven Agile experience.
Self-motivated and goal-oriented with a high work ethic.
Additional Information
Background in MLOps, Data Platforms, or Machine Learning workflows.
Involved in scaling cloud-native platforms.
Experience in information security an advantage
Understanding of identity & access management, secrets management, or zero-trust architecture - Bonus.

Requirements:
Bachelors Degree in Computer Science or Engineering related field / technology Elite unit alumni with relevant experience
10+ years of experience in Python / Go / Java / Node/ C++
3+ of hands on experience in developing and deploying modular cloud-based systems on AWS
Proven experience with creating architecture for cloud-based systems, considering scalability, security, and performance
Have experience leading the design, development and delivery of features in SaaS applications
Participate in continuous and iterative engineering cycles with emphasis on code quality, supportability, scalability, and performance
Be passionate about code design, high-quality code, and code reviews, optimizing and challenging the status quo
An independent, proactive nature, coupled with an internal drive for excellence and improvement
Explore new technologies and tools to keep us using cutting edge solutions
Passionate about code design, high-quality code, and code reviews, optimizing and challenging the status quo
A thorough and methodical approach to any task, with the ability to plan, conduct, prioritize, track, and measure processes
Excellent communication skills and the ability to coach others
Proactive by nature; internal drive for excellence and improvement
Additional Information
Experience with AWS serverless architecture and AWS CDK.
Experienced with modern CI/CD tools, in particular, GitHub, Jenkins, and Artifactory
Experience in enterprise scale application development in cloud/SaaS environment (AWS serverless architecture is a definite advantage)
Good understanding of security and networking implementation and best practices.

Requirements:
Proven experience of at least 5 years in a quality leadership role, preferably within a complex, multi-departmental environment.
Strong understanding of quality assurance methodologies, tools, and processes.
Excellent communication and interpersonal skills, with the ability to influence and drive change.
Strong technical understanding in cloud based large scale SaaS products, continuous CI tools, testing and monitoring tools.
Ability to mentor and develop team members, fostering a culture of continuous improvement.
Strong problem-solving skills and attention to detail.

Requirements:
What you need to succeed
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.