דרושים » תוכנה » Software Engineer III, CloudNet Telemetry Instrumentation and Collection

Requirements:
Bachelors degree or equivalent practical experience.
2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.
2 years of experience with data structures or algorithms.
2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.

Preferred qualifications:
Experience working with large datasets.
Experience with analytics, metrics, and experimentation methodologies.
Experience with large scale pipelines.

Requirements:
Bachelors degree or equivalent practical experience.
2 years of experience with software development in one or more programming languages (e.g., Java, Kotlin, Python, C, C++, JavaScript), or 1 year of experience with an advanced degree in an industry setting.
2 years of experience developing or launching products or technologies within Artificial Intelligence or Machine Learning (AI or ML).
Experience testing, maintaining, or launching software products, and with software design and architecture.
Experience with push notifications and subscriptions.

Requirements:
Experience: Minimum of 5 years of professional experience in MacOS development.
Technical Skills:
Expert proficiency in C++ 11/14/17.
In-depth knowledge of MacOS internals, system frameworks, and libraries.
Proven experience in system-level programming, debugging, and performance tuning.
Familiarity with Xcode, LLDB, and other MacOS development tools.
Strong understanding of macOS security mechanisms and best practices.
Soft Skills:
Excellent analytical and problem-solving abilities.
Strong communication skills, both written and verbal.
Ability to work effectively in a remote and collaborative environment.
Education: Bachelors degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
Preferred Qualifications:
Experience with Endpoint security framework and system extensions development.
Experience with Swift, Objective-C and application development for macOS.
Understanding of networking protocols and system-level APIs.
Previous experience in leading projects or teams in a remote work environment.

Requirements:
Bachelors degree or equivalent practical experience.
1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
1 year of experience with data structures or algorithms.

Preferred qualifications:
Experience with Google Cloud Platform (GCP) services.
Experience with data migration, replication, or data integration concepts.
Experience with RESTful APIs and microservices architecture.
Experience with the GO programming language.
Experience with control plane development or distributed systems.
Knowledge of SaaS (Software as a Service) and cloud computing concepts.

Requirements:
Minimum Qualifications
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
Engineering, or a related technical discipline or equivalent experience
7+ years of experience in UNIX and TCP/IP network fundamentals
7+ years of coding experience
Experience learning development languages (PHP, Python, C++, and Java)
Experience learning software, frameworks and APIs
Experience performing 'guerilla capacity planning' for internet service architectures
Knowledge in internet service architectures (such as load balancing, LAMP, CDNs)
Experience in configurating and maintaining of applications such as Apache, Memcached, Squid, MySQL, NFS, DHCP, NTP, SSH, DNS, and SNMP
Preferred Qualifications
BS or MS in Computer Science.

Requirements:
Bachelors degree in electrical engineering, computer science, or equivalent
5+ years experience developing software in Python/C/C++
2+ year experience with SW design
Experience with multiprocessing, microservices, dockers, and Linux memory management
Ability to lead concept development from design to implementation, testing, and deployment
Appreciation for clean and well-documented code
Preferred candidates will also have:
Hands-on experience with electronics, imaging sensors, or optical equipment
Experience with embedded systems
Experience with image processing
Medical device background

Requirements:
Experience: Minimum of 5 years of professional experience in Linux development.
Technical Skills:
Expert proficiency in C++ 11/14/17.
In-depth knowledge of Linux internals, including kernel architecture, modules, and system calls.
Proven experience in system-level programming, debugging, and performance optimization.
Familiarity with version control systems (e.g., Git) and development tools (e.g., GDB, Make, CMake).
Strong understanding of Linux security mechanisms and performance tuning.
Soft Skills:
Excellent analytical and problem-solving skills.
Strong communication skills, both written and verbal.
Ability to work effectively in a remote and collaborative environment.
It would be great if you have:

Passion and experience with the cybersecurity domain
Knowledge of Security products (especially AV/EDR/EPP solutions)
Knowledge of malware analysis or some background in it-security, SOC analyst, security research
Education: Bachelors degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
Preferred Qualifications:
Experience with eBpf, ftrace, auditd or other equivalent tracing frameworks.
Experience with scripting languages (Python, Bash) for automation tasks.
Familiarity with cloud technologies and containerization (Docker, Kubernetes).
Previous experience leading projects or teams in a remote work environment.
Benefits:
Competitive salary and comprehensive benefits package.
Flexible working hours with fully remote work options.
Opportunities for professional growth and continuous learning.
A collaborative and innovative team culture.

Requirements:
Required Skills & Qualifications
Experience: 5+ years of professional software development experience.
Programming Languages: Proficiency in one or more languages such as C#, JavaScript/TypeScript, or Go.
Frameworks & Technologies: Experience with frameworks such as .NET Core & React.
Databases: Strong understanding of relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) databases.
Microservices & APIs: Strong experience in building RESTful APIs and microservices architectures.
Data Lakes & Warehouses (Advantage): Experience working with one of the leading vendors for big data processing, analytics, and storage.
Cloud Platforms (Advantage): Experience with AWS, Azure, or Google Cloud Platform (GCP).
Security & Compliance (Advantage): Understanding of secure coding practices and data protection regulations.
Testing (Advantage): Experience with unit testing, integration testing, and automated testing frameworks.
CI/CD & DevOps (Advantage): Experience with Docker, Kubernetes, Gitlab, or other CI/CD tools.
Education (Advantage): Bachelors or Masters degree in Computer Science, Software Engineering, or relevant army training.
Preferred Skills & Qualifications
Experience working with one of the leading Data Lake & Warehouse vendors for big data processing, analytics, and storage.
Experience with any of the leading cloud platforms AWS, Azure, or Google Cloud Platform (GCP).
Understanding of secure coding practices and data protection regulations.
Experience with unit testing, integration testing, and automated testing frameworks.
Experience with Docker, Kubernetes, Gitlab, or other CI/CD tools.
Experience in distributed systems, event-driven architecture, or message queues (Kafka, RabbitMQ).
Knowledge of front-end development (React, Vue.js, or Angular).
Bachelors or Masters degree in Computer Science, Software Engineering, or relevant army training.
Contributions to open-source projects or personal coding projects.
Familiarity with observability and monitoring tools like Prometheus, Grafana, or Datadog.
Soft Skills
Strong problem-solving and analytical skills.
Excellent communication and collaboration abilities.
Ability to work in a fast-paced, Agile development environment.
Passion for continuous learning and staying updated with industry trends.
Additional Skills:
Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Security-First Mindset, Solutions Design, Testing & Automation, User Experience (UX).

Requirements:
What we need to see:

B.S./M.S. degree in CS/CE or equivalent experience with 5+ years of relevant experience. Experience with parallel programming and at least one communication runtime (MPI, NCCL, UCX, NVSHMEM).

Excellent C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test design.

Experience working with engineering or academic research community supporting HPC or AI.

Practical experience with high performance networking: Infiniband/RoCE/Ethernet networks, RDMA, topologies, congestion control.

Expert in Linux fundamentals and a scripting language, preferably Python.

Familiar with containers, cloud provisioning and scheduling tools (Docker, Docker Swarm, Kubernetes, SLURM, Ansible).

Adaptability and passion to learn new areas and tools.

Flexibility to work and communicate effectively across different teams and timezones.

Ways to stand out from the crowd:

Experience conducting performance benchmarking and developing infrastructure on HPC clusters. Prior system administration experience, esp for large clusters. Experience debugging network configuration issues in large scale deployments.

Familiarity with CUDA programming and/or GPUs. Good understanding of Machine Learning concepts and experience with Deep Learning Frameworks such PyTorch, TensorFlow.

Deep understanding of technology and passionate about what you do.

Requirements:
Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent practical experience.
5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
4 years of experience with performance, systems data analysis, visualization tools, or debugging.
Experience in performance modeling, performance analysis, and workload characterization.

Preferred qualifications:
Masters degree or PhD in Engineering, Computer Science, or a related technical field.
Experience in modern, high-performance CPU/ML architecture and micro-architecture.
Ability and interest to learn other coding languages as needed.
Excellent object-oriented, database design, and SQL skills.