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Requirements:
4+ years building backend systems in production
Strong Python experience
Comfortable with distributed systems fundamentals (queues, retries, idempotency, monitoring)
Bonus points if youve touched reverse engineering / security research / low-level tooling
Nice to Have
Experience with decompilers or reverse engineering tools
Background in security research or malware analysis
Experience working on performance-critical systems.

Requirements:
Strong background in reverse engineering or security research
Experience with low-level programmingDeep understanding of operating systems, binary formats and common executables format
Comfort working with decompiled code and imperfect signals: partial symbols, noisy decompilation, obfuscation, etc.
Ability to clearly communicate technical findings
Nice to Have
Experience with vulnerability research or malware analysis
Experience reversing high-level languages
Public work: blog posts, talks, or CTF participation.

Requirements:
What We Need To See:

BSc or MSc in Electrical/Computer Engineering, Computer Science, or Mathematics.

3+ years of managerial experience in chip design.

8+ overall years of industry experience in RTL design, dynamic verification, or related domains.

Strong understanding of chip design flows and verification methodologies.

Excellent leadership, analytical, problem-solving, and communication skills.

Requirements:
Engineering Excellence / Mindset
Ability to anticipate technical risks, identify bottlenecks, and drive long-term engineering improvements.
Takes ownership of code quality, documentation, reliability, and observability.
Comfortable working with product teams to balance technical trade-offs with user and business needs.
Autonomous and proactive; capable of mentoring others or leading technical initiatives.
Bonus Points
Background in security agents, observability tools, or other components deployed directly into customer environments.
Experience with APM agents, JVM agents, Python tracing, V8 internals, or other instrumentation/profiling frameworks.
Experience with telemetry systems (metrics, tracing, logging) including batching, rate-limiting, and safe data collection.
Familiarity with sampling techniques, bytecode manipulation, eBPF, or low-overhead tracing.
Exposure to safety-critical or high-throughput environments where reliability and minimal overhead are mandatory.
Contributions to open-source instrumentation, tracing, or internals-related projects.
Requirements
This is a full-time on-site position located in Tel Aviv.
Ability to thrive in a dynamic, fast-paced startup environment is essential.
Experience
5+ years of hands-on research or development roles.
Deep expertise in at least one runtime (Node.js, Python, or Java/JVM), including understanding of internals (event loop, GC, tracing hooks, bytecode/JIT, etc.).
Hands-on experience building in-process production components (SDKs, agents, profilers, monitoring/security tools) that must be safe, stable, and backward-compatible.
Strong performance engineering skills - profiling CPU/memory, avoiding overhead, understanding how instrumentation affects runtime behavior.
Defensive engineering mindset - experience designing systems that fail-open, degrade gracefully, protect the host application, and never introduce instability.
Track record debugging production issues (latency, memory leaks, regressions, deadlocks) in real-world distributed systems.
Solid understanding of modern backend architectures - experience with microservices, distributed systems, async and event-driven patterns, containers/orchestration (Docker/K8s), cloud runtimes, and the performance or reliability challenges they introduce.
Proven ability to ship stable, resilient, maintainable systems in production.

Requirements:
What you have:
7+ years of experience in security architecture, cloud/infrastructure security, application security, or DevSecOps roles.
Proven experience leading security design reviews and architecture work across multiple R&D teams or domains.
Strong understanding of SSDLC practices and how to scale them across a large engineering organization.
Deep knowledge of cloud-native architecture and services (AWS, GCP).
Hands-on experience securing CI/CD pipelines, containers, and infrastructure-as-code (e.g., Terraform, Kubernetes).
Deep knowledge of network and identity security concepts, such as zero trust, IAM, and secrets management.
Proven experience working with product and R&D teams performing architecture.
Experience working in a SaaS product company at scale.
Excellent communication skills, with the ability to translate complex technical risks into clear business impact and to influence senior R&D stakeholders.
A proactive mindset, strong problem-solving ability, and a passion for designing secure, scalable systems.
Strong collaboration skills and the ability to drive change across cross-functional teams.
Bonus Points:
Experience in high-scale distributed SaaS environments.
Certifications such as GCP or AWS Certified Security Specialty, OSCP or OSWE- Advantage
Being introduced by a team member.

Requirements:
What you have:
3+ years of experience in Application Security, Penetration Testing, or Product Security in a SaaS company
Deep understanding and hands-on experience of web application security, including OWASP Top 10, authentication, encryption, and secure coding principles
Proficiency in scripting or programming languages (Terraform, Python, JavaScript, Go, etc.) for security automation and infrastructure.
Experience with cloud security best practices (AWS, GCP, or Azure)
Strong communication skills, with the ability to explain security risks and recommendations to technical and non-technical stakeholders, including executive management
Experience working with large-scale, complex R&D environments
Bonus Points:
Hands-on experience with DevSecOps and integrating security tools into CI/CD pipelines
Bachelor's degree in Computer Science, Information Security, or a related field (or equivalent experience)
Being introduced by a team member.

Requirements:
What we need to see:

BSc/MSc in Electrical Engineering, Computer Science from a known university.

Experience in developing simulation models.

4+ years of experience in a relevant role as chip architecture or system integration

Knowledge and understanding of computing and networking systems.

Strong debug skills.

A can-do attitude and high energy with leadership and excellent interpersonal skills and possess the ability to learn complex concepts in a fast pace environment.

Utmost passion for attention to details in design and a high focus on design quality.

Ways to stand out from the crowd:

Experience and love for system architecture, CPU/GPU/Memory/Storage/Networking.

We are widely considered to be one of the tech worlds most desirable employers.

Master's degree in Electrical Engineering, Computer Science or related technical field.

5+ years of relevant practical experience.

Experience with network simulation tools (omnet, ns3, sst, gem5).

Requirements:
4+ years of software development experience, including strong hands-on experience in modern C++.
Proven experience leading software engineers, technical projects, or development teams.
Strong understanding of data structures, algorithms, concurrency, multithreading, and performance optimization.
Experience developing high-performance, low-latency, or large-scale distributed systems.
Strong experience working in Linux environments.
Solid understanding of software architecture, design patterns, and scalable system design.
Demonstrated ability to drive technical initiatives from concept to production.
Strong analytical and problem-solving skills.
Excellent communication, collaboration, and leadership abilities.
Advantage:
Experience serving in a technological military unit.
Experience with cellular networks and telecom technologies, including 4G/LTE, 5G, Core, or Radio networks.
Strong knowledge of networking protocols and network architecture.
Experience working with high-throughput, low-latency, or real-time systems.
Experience building distributed systems or network infrastructure products.
Familiarity with Kubernetes, cloud-native technologies, microservices, and containerized environments.
Experience with performance profiling, optimization, and large-scale production systems.
Background in cybersecurity, network intelligence, or monitoring and analytics platforms.

Requirements:
Education & Experience
Education: Bachelor's degree in Computer Science, Cybersecurity, Information Systems, or a related field.
Experience: 1-3 years of experience in cybersecurity, threat intelligence, and hands-on experience in web application, API, or cloud security research.
Underground Ecosystems: Familiarity with dark web/underground forums, cybercrime marketplaces, and threat actor communication channels is a strong advantage.
Work Environment & What We Offer
Flexibility: Office-first with the flexibility to work remotely depending on your geography.
Collaborate closely with internal marketing, product, security engineering, and field sales teams to translate intelligence into actionable business value.
Autonomous Culture: Work in a result-oriented environment where performance is evaluated on output, innovation, and impact, supported by senior leadership.
Global Exposure: Opportunities for global travel to attend and present at major cybersecurity conferences and industry events.

Requirements:
3+ years of experience in data analyst role
Experience working independently on analyses, demonstrating understanding of the underlying data and business questions
Strong knowledge of SQL and scripting
Experience investigating data issues/ troubleshooting skills/ detail oriented
Bachelor's degree Statistics / Math / Engineering or other field emphasizing statistical and analytical skills
Self-motivated and fast learner with a strong sense of ownership
Strong verbal and written communication skills in English
Nice to Have
Familiarity and experience with the advertising industry
Experience working on big data platforms
Good knowledge of JIRA.

Requirements:
Basic Qualifications
3+ years of experience in Enterprise B2B SaaS solution deployment, specifically within consulting, professional services, or functional implementation
3+ years specifically leading complex, large-scale global external client-facing SaaS implementation projects for medium to large enterprises
Proven ability to take full ownership of projects, operate independently, and manage multiple priorities, timelines, governance and workstreams effectively
Lead complex conversations and manage senior stakeholder expectations
Ability to work effectively across both technical and business stakeholders, creating clarity for partners and internal teams even when priorities or requirements are evolving
Strong problem-solving skills, with the ability to troubleshoot technical issues and drive resolution
Other Qualifications
Bachelors degree in Business, Information Systems, Industrial Engineering, or a related field
2+ years of experience delivering AI-enabled solutions, intelligent automation, or ML-powered features within an enterprise context
Familiarity with NoSQL/SQL database and Postman
Familiarity with Agile methodologies and the software delivery lifecycle
Availability and flexibility to work during US hours
Industry knowledge of HR Tech Industry.

Requirements:
Basic Qualifications:
4+ years of hands-on experience in Data Science/ML
Proven experience in developing agents and other LLM-based products
Experience with Python.
Experience with LLM evaluations
Experience developing with modern AI tools (Cursor/Claude Code/Codex/etc.)
Advanced knowledge of modern LLM practices (RAG/MCPs/etc.)
Passion for learning, staying current with innovative technologies, and thriving in a fast-paced, high-ownership environment
Fluent in English, including both written and verbal communication
Authorization to work in Israel
Other Qualifications:
Bachelors Degree in Computer Science or other relevant fields, advantage for a M.Sc.
Experience with Conversational AI
Experience in software architecture design
Experience in a cloud-based environment and CI/CD flows.

Requirements:
Basic Qualifications:
4+ years of experience as a machine learning engineer, data scientist, software engineer or in a related technical role.
Strong Python skills, with experience building, shipping, and maintaining production-grade code.
Solid software engineering fundamentals, including clean APIs, testing, CI/CD, observability, and maintainable codebases.
Practical experience working with large-scale data, data modeling, and production systems that support data-driven products.
Familiarity with machine learning, deep learning, and NLP concepts, with hands-on experience using frameworks such as PyTorch, TensorFlow, or scikit-learn.
Other Qualifications:
Bachelors degree in Computer Science or a related field; Masters degree is a plus.
Experience with GenAI and LLMs.

Requirements:
Basic Qualifications:
Applied Generative AI: Proven track record of shipping complex LLM systems to production (e.g., Multi-agent architectures, RAG systems, tool/function calling, complex dialogue managers) coupled with a passion for continuous AI innovation.
5+ years of hands-on software development experience, focusing on building complex, distributed systems.
System Architecture & Cloud: Strong system design skills in cloud-native environments (AWS/GCP), containerization, and modern CI/CD automation.
Engineering Quality for AI: Deep understanding of testing non-deterministic AI systems (eval-driven development, deterministic regression testing, automated benchmarking).
Technical Leadership: Proven experience leading architectural designs, driving cross-functional alignment, and mentoring engineers in AI engineering principles.
Fluent English: High proficiency in both written and verbal communication.
Work Authorization: Authorization to work in Israel.
Preferred Qualifications:
Python Expertise: Deep proficiency in Python and modern backend framework development, with strong API design and asynchronous programming skills.
Vector Search & AI Infrastructure: Hands-on experience with Vector Databases (e.g., Pinecone, Qdrant, Milvus, pgvector) and modern orchestration frameworks (e.g., LangChain, LlamaIndex, AutoGen/CrewAI).
Model Customization & Fine-Tuning: Practical experience with model fine-tuning techniques (e.g., LoRA, QLoRA, SFT, DPO/RLHF) and dataset curation.
LLMOps & Observability: Hands-on experience with LLM tracing and observability stacks (e.g., LangSmith, Phoenix, Arize, Weights & Biases).
Inference & Serving: Familiarity with LLM serving engines and frameworks (e.g., vLLM, TensorRT-LLM, Ollama).
Domain Experience: Background in Conversational AI, Dialogue Management, or Recruitment/HR tech automation.
Data Science/ML Foundation: Formal background or practical grounding in NLP, Machine Learning, or Data Engineering.

Requirements:
Basic Qualifications:
3+ years of hands-on experience in backend software development, focusing on building complex, distributed systems.
Proven Expertise in Python and modern backend technologies/API design.
Direct experience in developing LLM-based products (Agents, RAG, etc.) within production environments.
System Architecture design skills, with experience in cloud-based environments (AWS/GCP) and CI/CD flows.
Database Experience: knowledge of both relational and non-relational databases.
Engineering Quality: Strong understanding of automated testing at all levels of the testing pyramid and Clean Code principles.
Fluent in English, including both written and verbal communication.
Authorization to work in Israel.
Other Qualifications:
Experience with specialized AI infrastructure (Vector Databases, LLM Observability tools).
Experience with Conversational AI or complex Dialogue Management systems.
Familiarity with MLOps practices and monitoring LLM performance in production.
Background in Data Science or Data Engineering.