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Requirements:
What Should You Bring to the Table?
Significant real-world experience (at least 5 years) of developing software for production backend systems (Go, Python, Typescript, Node etc).
Proficiency in LLM application concepts and techniques such as Agentic Memory, Retrieval-Augmented Generation (RAG), embeddings, Multiagent systems, and more.
Hands-on experience with measuring AI systems - developing datasets, evaluation benchmarks, and performance monitoring systems for LLM applications.
A solid understanding of state-of-the-art advancements in the field of Large Language Models .
Ability to take initiative, scope work iteratively, and make meaningful design decisions to drive projects to completion.

Preferred Qualifications:
A strong focus on data and data quality, with the ability to optimize data flows for developing cutting-edge LLM-based applications.
Familiarity with Langchain, LangGraph or other LLM-based frameworks
The ideal candidate possesses a data science mindset combined with an engineer's agility and focus on swiftly bringing solutions into production.

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:
Bachelors or Masters degree in computer science, Engineering, or a related technical field.
At least 5 years experience as a researcher and development and deploying advanced algorithms.
In depth familiarity with deep-learning algorithms, classic machine learning and computer vision.
Experience in Python & PyTorch or other machine learning frameworks and mathematical modelling.
Good communication skills, self-motivated, proactive, flexible and passionate about learning
Focus on end to end delivery of solutions for real world scenario in challenging timeframe.
Deep knowledge in CNN for object detection, classification & segmentation

Requirements:
Requirements
6+ years of experience in SOC operations, incident response, or threat detection.
Hands-on experience triaging alerts, conducting investigations, and working with tools like SIEM, EDR, SOAR, and XDR.
Strong understanding of logs, telemetry, and data formats (Syslog, JSON, Zeek, Windows Event Logs, etc.).
Experience defining detection or triage logic in Python, YAML, or other rule-based formats is a plus.
Familiarity with cloud security signals (AWS, Azure, GCP) and SaaS application logs is a bonus.

Preferred Skills
Prior experience building security content for SOAR/SIEM platforms.
Exposure to AI/ML use in security triage (optional but valued).
Passion for building scalable, repeatable, and impactful security solutions.

Requirements:
Requirements:
6+ years of experience in SOC operations, incident response, or threat detection.
Hands-on experience triaging alerts, conducting investigations, and working with tools like SIEM, EDR, SOAR, and XDR.
Strong understanding of logs, telemetry, and data formats (Syslog, JSON, Zeek, Windows Event Logs, etc.).
Experience defining detection or triage logic in Python, YAML, or other rule-based formats is a plus.
Familiarity with cloud security signals (AWS, Azure, GCP) and SaaS application logs is a bonus.

Preferred Skills:
Prior experience building security content for SOAR/SIEM platforms.
Exposure to AI/ML use in security triage (optional but valued).
Passion for building scalable, repeatable, and impactful security solutions.

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.

Requirements:
5+ years of experience designing digital SaaS products, ideally in cybersecurity or other complex domains.
Strong portfolio showcasing UX and UI excellence in complex systems.
Proven ability to lead initiatives, ask the right questions, and challenge assumptions.
Skilled in user research methodologies from generative discovery to usability testing.
Actively seeks feedback, validates ideas with users, and works in an iterative design process.
Takes total ownership of their work, bringing the right people together to drive solutions.
Comfortable working in ambiguity and bringing structure to complex problems.
Excellent communication and collaboration skills with a team-first mindset.
Positive attitude, low ego, and proactive approach to driving change.