לוח משרות דרושים

Requirements:
5+ years of professional experience in software development, with hands-on work across both frontend and backend.
Strong frontend skills with Vue (React experience transfers well), TypeScript, and modern build tools (Vite).
Backend proficiency in Python/Node.js, with experience building APIs and services.
Comfortable with component-driven development, testing (unit tests, Storybook), and design system workflows.
Experience with cloud infrastructure and containerized environments (Docker, Kubernetes).
Familiarity with databases (SQL/NoSQL) and data modeling.
High ownership mindset - you thrive with autonomy, drive alignment through documentation (Confluence, design docs), and communicate effectively across teams.
Comfortable in fast-paced, ambiguous environments with short iteration cycles.
Advantages:
Micro-frontend architecture experience.
Background in cybersecurity, threat intelligence, or related domains.
Experience building visual analytics dashboards or data-intensive UI.
Familiarity with AI/ML integration patterns or agentic application design.
Contribution to internal tooling, developer experience, or platform engineering.

Requirements:
8-10 years experience with DevOps technologies.
Experience with design, build, development and maintenance of DevOps solutions.
Experience with one of the major cloud providers: AWS, GCP, Azure.
Experience Working cloud & on-prem environments and solutions.
Experienced with deployment technologies.
Experienced with CI\CD technologies.
Experience with bootstrapping projects, introducing new technologies and building systems from scratch.
Good coding capabilities (python\bash etc.)
Team Player!
Advantages:
Prior experience with endpoint security products (agents, sensors, collectors).
Background in working with AI components (training, inference, serving).
Tech Stack:
AWS, Kubernetes, EKS, ECS, Jenkins, IaC, GitHub, Terraform, Python, Ansible, Docker + Compose, ArgoCD, MongoDB, RabbitMQ, Redis, Go, Neo4J, AI, and more.

Requirements:
5+ Years as a Data Scientist with proven production-level impact.
Master's degree in computer science, mathematics or Engineering with focus on machine learning.
Proven track record designing and training anomaly-based models for large datasets.
Strong programming skills in Python and familiarity with modern ML tooling and frameworks.
Experience conducting applied research and working with transformers, open-source LLMs, or other advanced deep learning architectures.
Demonstrated ability to work effectively in cross-functional teams, collaborate with colleagues, and contribute to a positive work environment.
Excellent problem-solving abilities and a strong experimental mindset.
Effective collaborator with strong communication skills.
Curiosity and a passion for learning new technologies, methods, and domains.
Background in the cyber security domain - an advantage.

Requirements:
5+ Years as a Data Scientist with proven production-level impact.
Masters degree in Computer Science, Mathematics, Statistics or Engineering (PhD is a plus but not required).
Experience conducting applied research and working with Transformers, open-source LLMs, or other advanced deep learning architectures.
Strong programming skills in Python and familiarity with modern ML tooling and frameworks.
Excellent problem-solving abilities and a strong experimental mindset.
Effective collaborator with strong communication skills.
High curiosity and a passion for learning new technologies, methods, and domains.

Requirements:
5+ years of backend development experience with Python.
Experience building and operating data pipelines, data lakes, or large-scale data infrastructure.
Experience with distributed systems and the challenges they bring (consistency, failure modes, debugging across services).
Familiarity with microservices architecture and tooling (Docker, Kubernetes).
Experience with NoSQL databases.
High independence - you thrive with autonomy and ownership in ambiguous environments.
Advantages:
Experience building distributed systems.
Data management at scale - ETL, data quality, governance.
Experience in cybersecurity, threat intelligence, or related domains.
Familiarity with AI/agentic application patterns.
Experience with graph and NoSQL databases.
- Startup or small-team experience.

Requirements:
7+ years of hands-on software engineering experience in a modern language (Go preferred; Python, Node.js, or C++ also great).
Strong cybersecurity engineering background - Deep understanding of attacker TTPs, lateral movement, privilege escalation, credential abuse, and network exploitation.
Familiarity with enterprise security environments (Active Directory, cloud infrastructure, EDR/XDR, network segmentation).
Advantages:
Experience building AI/ML-driven systems or agent-based simulations.
Experience as a red teamer, penetration tester, or security researcher.
Knowledge of graph modelling or graph databases (e.g., Neo4j) for attack-path representation.

Requirements:
5+ years of experience in backend/software engineering (Go or Python are a strong advantage)
Proven experience designing and operating distributed, high-scale systems
Strong understanding of microservices architecture, containers, and orchestration (Docker, Kubernetes)
Solid background in databases and modern storage/search technologies
Experience with messaging, stream processing, and scalable data patterns
Ability to evaluate and adopt new technologies, with a deep understanding of underlying trade-offs
A strong sense of ownership and leadership, with the ability to guide complex technical efforts.

Requirements:
4+ years of experience in cyber security, with significant hands-on experience in malware research focused on APTs and state-linked actors.
Strong proficiency with RE tools such as IDA Pro, Ghidra, x64dbg/WinDbg, and common dynamic analysis/sandbox environments.
Deep understanding of OS internals (Windows/Linux/Android/Mac), common persistence and execution techniques, and modern offensive tradecraft.
Demonstrated experience extracting configs, C2 endpoints, and capabilities from both compiled and scripted malware.
Strong investigative mindset, attention to detail, and ability to work with incomplete or obfuscated data.
Experience researching or defending government or critical infrastructure organizations- Advantage.

Requirements:
Is it all about experience? You must have experience with cloud based solutions selling, experience in selling to C-Level and technical buyers and a proven track record as a successful field-based salesperson.
Technology, technology, technology. Highly knowledgeable of technology industry trends and strategies in relation to appropriate industry segments. Experience in any of the following industries: cloud computing, CDN, Streaming, web analytics, Load balancing, security, WAN optimization or managed hosting solutions.
You know whats best. You have the Skill to prioritize opportunities that will lead to new industry penetration, new account acquisition and incremental revenue growth.
Sharing is caring. Ideal candidates will bring a range of enterprise and internet industry-related contacts with them.
Team player. Do we need to say more?
Entrepreneurial attitude. Be the CEO of your business. Ability to work independently, appreciate aggressive goals, have superior organizational skills and a make-it-happen attitude.
We care about your values. High level of integrity and ethical standards.
People smile at you. You are fun and nice!
Communication. Fluent Hebrew and English, another language is an advantage.
What else? Highly motivated, autonomous and intelligent. Ability to ork alone as well as part of a team. Ability to work in a fast paced, fluid operating environment. Excellent presentation and communication skills. A quick learner and executor.
We all like bonuses. Well tell you all about that!

Requirements:
3-6 years of DevOps experience
Strong understanding of DevOps/SRE concepts: CI/CD, Branching/Deployment/Testing strategies and so on
English language of upper intermediate or more. Were working in an English speaking environment and need to communicate with our customers via Slack/meetings, write documentation, etc
Proven production experience with:
Cloud services: AWS, GCP, or Azure (self hosted clouds are also welcome)
IaC tools: Terraform, Terragrunt (CloudFormation, Pulumi, Crossplane optional)
Docker/Docker Compose
Kubernetes: managed & self-hosted clusters, multi-environment setups, multi zones, autoscaling, etc
Configuration management tools: Ansilble, Chef
CI/CD tools Jenkins, GitLab, GitHub Actions, Argo
Monitoring and logging systems: ELK/EFK, PLG, Kube Prometheus Stack (Victoriametrics, Logs.io, NewRelic, Datagod optional)
Secrets management tools: Hashicorp Vault, AWS Secret Manager
Bash and one of programming language like Python/Golang
Linux!
Network problem troubleshooting (TCP/IP, HTTP, DNS, etc.)