דרושים » תוכנה » Software Engineer (Rust) Endpoint

Requirements:
Bachelors degree in Computer Science or equivalent practical experience
You have 4+ years of hands-on software development experience
You have strong coding skills in C or C++
Solid understanding of Windows internals and system architecture
Proven track record of building and maintaining large-scale systems
Excellent communication and collaboration skills
Preferred Qualifications
Experience in endpoint security or related fields
Coding experience in Rust
Background in building secure, high-performance infrastructure.

Requirements:
At least 10+ years of hands-on software development experience must.
At least 2 years of experience as a Software Architect /or as a Principal Engineer must.
Proven experience in designing large-scale, high-availability systems with complex architecture and high traffic volumes must.
Experience in .NET and C# programming must.
Experience with Microsoft SQL Server and T-SQL development
Significant experience with relational database design and internals
Proven experience leading technical teams and driving end-to-end delivery of complex software projects, Proven experience in leading software projects and development teams must.
Strong background in designing scalable, secure, and high-performance software and data systems
Experience with cloud services and architectures (AWS preferred) must
Familiarity with database design and implementation, including both relational and NoSQL databases
Strong knowledge of software development lifecycle, best practices, and modern development methodologies
Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes)
Experience with operating systems (Windows, Linux)
Experience with scripting languages such as PowerShell and Python
Analytical mind with excellent problem-solving skills
Self-taught, quick learner of new technologies
Nice to have:
BSc in Computer Science, Engineering or Mathematics.
Hands on experience with data analysis of large and complex data sets using NOSQL, Elasticsearch and/or Snowflake
Cyber Security or Information Security background.
Experience with enterprise level release & change management processes.
Experience with Machine learning
Experience in the fintech industry ideally from companies operating in payments, banking, or financial platforms
Frontend development background a plus (Vue.js, React, Angular)
Hands-on experience with NoSQL technologies (Redis is a significant advantage)
Experience working with Snowflake or other cloud-based data warehousing solutions a significant advantage
Familiarity with containerized environments and cloud infrastructure (preferably AWS)
Exposure to AI-related technologies, including MCP servers or tools like GitHub Copilot (MCP experience is a plus).

Requirements:
3+ years of hands-on experience in Java (must)
Experience with Microservices architecture
Proven experience in building high-scale services
Experience with SQL and NoSQL database systems (MySQL, Aurora, MongoDB, Redis, etc.)
Strong understanding of developer testing (unit, component, integration, and e2e tests)
A team player with a strong sense of ownership and a can-do attitude
Independent, responsible, and communicative, thriving in a hybrid work mode
Nice to have
Familiarity with AWS Cloud and Kubernetes (advantage)
Experience with Queuing technologies like Kafka and RabbitMQ (advantage)
Experience in Financial industries - FinTech (strong advantage).

Requirements:
5+ years of relevant industry experience as a software engineer
Experience in OS Internals such as Linux/Android/Windows and system-level programming
Proficiency in software security
Substantial experience building complex software systems
Mastering software development processes and methodologies
B.Sc. in Computer Science or Software Engineering or Equivalent military experience courses in elite intelligence corps.
Advantages

Experience in Objective-C or Swift using iOS or OS X frameworks - a major advantage
Experience developing in Apple's ecosystem (macOS/Xcode)
Experience in JavaScript - a major advantage
Hands-on experience with Python
Knowledge of reverse engineering techniques and tools (e.g., IDA Pro)

Requirements:
Strong programming experience in at least one of the following: C++, Java, Rust, .NET, or Python.
Experience working with python data analytics libraries (such as numpy, pandas, polars).
Experience working on backend services or data-intensive applications.
Understanding of distributed systems, data pipelines, and production monitoring.
Experience in hybrid infrastructure environments (on-prem + cloud).
An open-minded technologist with a willingness to learn and adopt new technologies and best practices.
Nice to Have:
Familiarity with Apache Iceberg or other table/data format technologies (e.g., Delta Lake, Hudi, Parquet, ORC).
Familiarity with Streaming technologies Kafka, Flink.
Experience with orchestration tools like Airflow or Argo.
Exposure to analytics engines (e.g., Spark, DuckDB, Trino).
Knowledge of Kubernetes and containerized deployments.
Experience in MLOps or supporting machine learning pipelines.

Requirements:
Essential Requirements
Extensive background in Kubernetes (K8s) and OpenShift Container Platform (OCP), focusing on authentication and authorization.
Experienced in Go and knowledgeable about software engineering principles.
Skilled in scripting with Python and Bash and CI/CD automation, utilizing tools such as Git, Jenkins, Jira, and Confluence.
Strong problem solver capable of coding, debugging, and guiding others in designing scalable programs.
Desirable Requirements
6 to 8 years of experience in software development with a bachelors degree in computer science engineering, or a related field
Proficient in C++ with a focus on multithreading and inter-process communication.

Requirements:
At least 5 years experience as a Low-level Engineer - Mandatory
Proficient in C/C++/Rust, with a good knowledge of Its ecosystems - Mandatory
Experience with Go - Mandatory
Experience working with Linux - Mandatory
Experience working with eBPF - Mandatory
Experience working on low-latency, high throughput data processing initiatives
Demonstrated engineering and architectural understanding on projects ranging in scope and focus
In depth understanding of System design and OS concepts
Knowledge in Computer Networking
Prior experience in the cybersecurity industry- Advantage.

Requirements:
B.Sc. in Computer Engineering or Computer Science (preferably cum laude, from a leading university)
5+ years of experience as a C++ software engineer
Result oriented and experience in working on complex and large-scale systems
Passionate about code, self-motivated, fast learner, can do attitude and a great team player

Requirements:
3+ years of hands-on experience in security research.
BSc. or M.Sc. in Computer Science, Software Engineering, or relevant practical experience (e.g. service in elite technology unit in IDF).
Code fluency in either C#, Python or Rust.
A drive to tackle hard problems with level of ambiguity.
knowledge of the security threat landscape, with experience in the modern attacker kill chain and MITRE ATT&CKespecially in cloud, application, identity, and AI-related threat scenarios.
Team player open to ideas and enjoys working with others to achieve shared goals.
Familiarity with cloud environments, and hybrid cloud enterprise services
Preferred Qualifications:
Good hands-on knowledge of AI/LLM fundamentals and concepts, including technical aspects related to usage of AI/LLM in production systems and agentic frameworks.
Familiarity with OAuth and other identity protocols, as well as knowledge of the AI domain - especially MCP, A2A, and related technologies.
Industry recognized author of security research papers, blogs, or books.
Low-level/security knowledge of other operating systems.

Requirements:
Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred.
A minimum of 10 years of experience in software engineering, with at least 5 years in a leadership role.
Proven track record of managing large-scale software projects and leading engineering teams to success.
Experience with cloud computing technologies and distributed systems is highly desirable.
Exceptional communication skills, with the ability to clearly articulate technical concepts to non-technical stakeholders.
Demonstrated ability to drive technical innovation and adapt to changing market demands.
Passion for technology and a deep understanding of software engineering principles.