דרושים » הנדסה » Malware Reverse Engineer-2647

Requirements:
Bachelor's degree in computer science, Software Engineering (or equivalent work experience)
At least 5 years of experience in a similar role
Programming Languages: Proficiency in at least one of Go/C#/ C++/ language
Experience with developing software for Linux OS.
Experience in scripting languages (e.g., Python, Bash).
Experience with cloud services (GCP/AWS/Azure).
Hands-on experience with high performance code and multithreading.
Advantage:
Experience with Linux internals module development for multiple distros.
Experience with Netlink, NFTables and IPTables.
Solid grasp of networking protocols and stack, including HTTP, TCP/IP, UDP, etc.

Requirements:
Bachelor's degree or equivalent military experience.
At least 5 years of experience in Linux system-level programming.
Extensive knowledge of Linux internals, or Linux 'under the hood'.
Very strong system-programming skills in C++.
Strong debugging skills with various tools on different Linux platforms.
Proven experience with multi-threaded application development.
Preferred Qualifications
Linux kernel programming experience.
Experience with containers, Docker, or Kubernetes.
Familiarity with multiple Linux distributions (e.g., RHEL, Ubuntu).
Experience with software security and/or Linux Security modules (e.g., SecureBoot, SELinux, AppArmor).

Requirements:
Bachelor's degree in computer science, Software Engineering (or equivalent work experience).
5+ years of experience as a software engineer with hands-on production experience working in the backend side of complex systems.
Strong proficiency in at least one backend programming language (e.g., Go, C#) and associated frameworks.
Hands-on experience in the following technology stack: Kubernetes & Helm, Frontend experience, NodeJS (Typescript), Elasticsearch.
Experience with relational databases (PostgreSQL- advantage), and ability to design efficient schemas and write optimized queries.
Strong problem-solving skills and ability to work both independently and as part of a team.
Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams.
Low-level understanding of network protocols and Windows internals- advantage.
Experience with cloud services (GCP/AWS/Azure)- advantage.

Requirements:
Your Experience:
Bachelors Degree in Computer Science or a related engineering field, or relevant experience from a technology elite unit.
At least 7 years of software development experience.
5+ years of experience in a backend language such as Python, Go, Node.js, Ruby, or Java.
Deep knowledge and expertise in at least one modern frontend framework (React, Angular, or Vue).
Excellent communication skills, with fluency in written and spoken English.
Preferred Qualifications:
Professional experience with Python.
Good knowledge of TypeScript and RxJS.
Deep knowledge and experience in state management libraries such as Redux or MobX.
A passion for technology and a desire to learn and understand new things in depth.
Proactive nature with an internal drive for excellence and continuous improvement.

Requirements:
Professional Experience - 3-5 years of hands-on backend software development experience, demonstrating solid coding skills and a foundational understanding of software design and architecture.
Technical Proficiency -
Production Systems and Cloud - Experience building and operating production-grade services on a cloud platform (AWS preferred), including familiarity with containerization (Docker/Kubernetes), CI/CD, and observability tools like Grafana and Prometheus.
Programming - Strong command of at least one programming language, with Python or Rust being a strong advantage.
Web Services - Proficiency in designing and maintaining web services and APIs, particularly with REST and WebSocket protocols.
AI-Augmented Development - Hands-on experience using AI coding tools in your day-to-day workflow, with genuine curiosity to push their boundaries.
Mindset -
Engineering Quality - A commitment to clean, robust, and rigorously tested code - you treat quality as a first-class engineering concern, not something retrofitted at the end of a sprint.
Self-Learner - A strong ability to self-learn, step out of your comfort zone, and independently take a concept from research to production.
Problem Solver - Strong capability to work through complex issues and adapt to evolving technologies and environments.
Advantages -
Familiarity with the ML model lifecycle - training, evaluation, deployment, and monitoring of models in production.
Experience with Data Engineering and big-data pipelines (e.g., Dagster, Airflow, Iceberg).
Experience with TensorFlow, PyTorch, or Computer Vision concepts.
Experience with distributed systems, message queues (Kafka, RabbitMQ, SQS), and high-scale infrastructure.

Requirements:
Requirements
10+ years of software development experience.
Proven experience as a Tech Lead, Senior Software Engineer, or equivalent technical leadership role.
Strong expertise in cybersecurity, data security, or security software development.
Proven experience conducting cybersecurity research and developing security technologies.
Strong software architecture and system design skills.
Extensive hands-on experience with C/C++ development on Linux.
Experience designing and developing complex enterprise software systems.
Strong understanding of secure software development methodologies and security-focused system design.
Ability to analyze complex security problems and develop practical engineering solutions.
Excellent technical leadership, communication, and problem-solving skills.
Ability and willingness to travel occasionally.
B.Sc. in Computer Science, Software Engineering, or a related field (M.Sc. is an advantage).

Preferred Qualifications
Experience with relational databases such as PostgreSQL, Oracle, SQL Server, or MySQL.
Understanding of database security concepts including encryption, auditing, access control, authentication, authorization, and data protection technologies.
Background in security research, vulnerability analysis, threat modeling, or security architecture.
Experience analyzing attack surfaces and designing security mechanisms to protect complex software systems.
Experience with operating system security concepts including process isolation, privilege management, memory protection, and Linux security mechanisms.
Familiarity with cryptographic concepts and secure communication protocols.
Experience with vulnerability research, reverse engineering, binary analysis, fuzzing, or security testing methodologies.
Experience developing security-sensitive enterprise software, infrastructure products, or low-level system components.
Understanding of cloud security concepts and modern enterprise security architectures.
Familiarity with security standards and frameworks such as NIST, ISO 27001, CIS, OWASP, or similar

Requirements:
Basic Qualifications
- 4+ years of low-level systems security research and vulnerability testing experience.
- Experience developing security tools (fuzzers, scanners, analysis frameworks).
- Security architecture design and threat modeling experience.
- Proficiency in C and experience with Python.
- Deep knowledge of security aspects of ARM/x86 processor architectures.
- Strong understanding of hardware security (secure boot, cryptographic implementations, side-channel attacks).
- Knowledge of security protocols and cryptographic primitives.
- Experience in AI usage for security research.
- Technical English proficiency.

Preferred Qualifications
- Background in firmware reverse engineering and vulnerability research
- Experience with fuzzing frameworks (AFL++, libFuzzer, Syzkaller).
- Knowledge of virtualization security or hypervisor technologies.
- Familiarity with AWS services.
- Technical leadership, mentoring, and cross-functional collaboration.
- Security publications (research, CVEs).
- CTF, bug bounty, or competitive security research background.

Requirements:
BSc or MSc in Computer Science, Computer Engineering, Electrical Engineering, Data Science, or a related field, or equivalent practical experience.
Typically 7+ years of hands-on experience in production software, ML platform, search, data, or infrastructure engineering, including meaningful recent experience shipping LLM-powered systems; exceptional candidates with equivalent depth are welcome.
Strong Python engineering skills and experience designing maintainable APIs, services, libraries, and data pipelines. Experience with Go, Java, or C/C++ is an advantage.
Strong understanding of transformer-based language models and production inference, including tokenization, context management, batching, KV caching, parallelism, quantization, structured output, tool calling, and common model failure modes.
Demonstrated experience building production RAG or enterprise-search systems using embeddings, vector and/or lexical search, metadata filtering, reranking, source attribution, and systematic retrieval evaluation.
Experience defining task-specific LLM evaluations using representtive datasets, strong baselines, domain-expert review, automated metrics, human feedback, error analysis, and regression thresholds.
Experience deploying and operating containerized services on Linux using Docker and Kubernetes or an equivalent orchestration environment.
Practical experience with GPU-backed model serving, performance profiling, capacity planning, monitoring, and reliability engineering.
Strong knowledge of distributed-system fundamentals, authentication and authorization, API security, secrets handling, encryption, auditability, and data lifecycle controls.
Experience with Git, automated testing, CI/CD, infrastructure as code, observability, and production incident response.
Sound technical judgment about quality, security, maintainability, hardware efficiency, and total cost-not just model benchmark scores.
Ability to lead an ambiguous, cross-functional initiative, explain complex AI behavior in plain language, and help other teams ship safely on a shared platform.

Requirements:
Minimum of 10 years of experience as a software engineer, with a proven track record in large-scale, production-grade software development projects.
At least 4 years in a management or group leadership role, ideally overseeing high-output teams.
A degree in Computer Science, Engineering, or a related field from a reputable university- An advantage
Leadership and Interpersonal Skills:
Strong communication and leadership skills, capable of effectively motivating and managing software development teams.
Experience in leading leaders- An advantage.
Excellent interpersonal skills and a team-oriented mindset.

Requirements:
Minimum Qualifications
5+ years of Low Level Embedded software/firmware development - Mandatory.
Experience and proficiency in C development - Mandatory.
Experience with communications protocols and host I/F such as TCP/IP, UDP, USB, PCIe, UART et.
Exceptional problem solving and debugging skills.
Independent, highly motivated, with good interpersonal skills.
B.Sc or higher degree in Computer Science or technically equivalent field is required.

Preferred Qualifications
Experience with developing mobile products and protocols, WiFi, BT, Cellular, etc.
Experience using other common programming languages, such as Objective- C, Java, C++, Python.
Experience with ARM micro-controllers.
Experience with development in OSX and iOS environments.
Experience with GenAI code analysis and code generation.