דרושים » מחשבים ורשתות » Software Architect

Requirements:
* 2-5 years of development experience in C ++ over Linux.
* BSc./B.A. in Computer Science /Computer Engineering/equivalent degree graduate.
* Strong problem-solving skills along with the ability to work independently.
* Highly motivated, confident, a quick learner and a team player.
* Strive to learn new things and gain experience.
* Ability to read and understand a large and complex existing code-base, as well as analyze and debug complex multi-threded code. Preferred Qualifications
* Development experience in Python.
* Experience with Git.
* Knowledge in Storage.
* Experience in clustered and performance-oriented development.
* Experience in developing enterprise class software.
About a global provider of enterprise Storage platforms and solutions. Installed in Global Fortune 500 companies around the world supporting a wide variety of applications and use cases, our software defined Storage architecture delivers microsecond latency, autonomous automation, powerful cyber Storage resilience, 100% guaranteed availability, and dramatically reduces enterprise Storage CAPEX and OPEX. The companys portfolio has been named a Leader in the Gartner Magic Quadrant for primary Storage, has received the Gartner Peer Insights Customers Choice Award based on end-users ratings, as well as numerous other awards from the Storage analyst and Storage press community. Our success continues to be based on the talent, experience, and motivation of employees who leverage their skills and abilities to make a real impact in the industry. If you have the power to be the best of the best, we would love to have you join the family and make a mark as an essential player in our companys growth.

Requirements:
4+ years working as a Backend engineer in a web environment
In Depth understanding of OOP, SOLID and know functional programming principles
Can understand and write multi-threaded code, specifically a web server's request lifecycle
Have an excellent understanding of database systems, relational and otherwise, including big data applications
Are able to conduct performance analysis for a system and find its bottlenecks
Familiar with Linux development
Broad knowledge of modern backend and frontend frameworks, tools, and architecture
Experience working on a high scale, production-grade projects
B.Sc. in Computer Science or Mathematics (or equivalent experience) is a big plus
Result oriented, self-motivated, fast learner, can do attitude and a great team player
Experience with Python + SQL - major advantage
Experience with Pandas/SQL-alchemy - advantage

Requirements:
BSc / MSc degree in Computer Science/ Engineering / Mathematics or Statistics
At least 5 years of experience working as a Data Engineer or Data Architect or ML Engineer
At least 3 years of experience working in high level software development, preferably in Python
Proven hands-on experience in designing, developing and optimizing complex solutions that move and/or manipulate large volumes of data
Sound understanding of different big data file formats such as Parquet, Arrow, HDF5, etc.
Experience with Docker, Linux, CI/CD tools and concepts, Kubernetes.
Experience with data pipelining tools such as Airflow, Kubeflow, MLFlow and similar technologies.
Hands-on experience with large-scale distributed computing systems and related technologies (e.g., Spark, Hive)
Understanding of ML concepts and processes.
Result oriented, self-motivated, fast learner, can do attitude and a great team player
Advantage:
Experience and understanding of various storage solutions (NFS, S3, software defined distributed storage, etc.)
Experience working with data versioning tools such as DVC, LakeFS, GitLFS or similar technologies.
Experience working with AWS data processing tools and concepts.
Experience with large, offline on-premises production deployments.
Experience with Pandas, Numpy, Jupyter notebook.
Hands-on experience in lower-level programming languages such as C++ or RUST.

Requirements:
4+ years of proven experience in C or C++ in HW modeling, FW embedded or linux/MacOS Driver development
HW-FW integrations.
ARM architecture knowledge
Python experience is an advantage
VLSI understanding
Verilog or verification experience is an advantage
Deep understanding of Wifi or BT - an advantage.
Experience in developing virtual machine is an advantage
Ability to lead data investigations and analysis projects with ambiguous requirements
Should be a team player with excellent communication skills and the desire to take on diverse challenges
Curious and have excellent analytical and problem solving skills
Excellent written, verbal, and data communication skills
- B.Sc / M.Sc in Electrical / Computer Engineering/ Computer Science.

Requirements:
Background in low-level software
Excellent programming (C++/C/Assembly) and scripting skills (Python)
Proficiency with debugging large, complex system software
Experience with kernel, driver and firmware development a plus
Experience with modeling and simulation a plus
Knowledge of ARM and/or X86 architectures a plus
MSCS or MSEE Degree or equivalent.

Requirements:
Minimum 3 years of proven experience as a System Architect with a focus on SaaS solutions. Experience in a cyber security company - advantage
Minimum 3 years of experience in developing SaaS solutions
Strong proficiency in system design and architecture, including cloud technologies (specifically AWS and Azure), microservices and K8s
Experience with tenant and multi-tenant environments in a SaaS solution
Knowledge of security architecture and best practices, preferably as a Security Architect
Deep understanding of big data methods and data pipelines for processing large volumes of data. Experience with Kafka & Flink - advantage
Excellent problem-solving skills and attention to detail
Ability to communicate complex technical concepts to non-technical stakeholders
Very good human relations and communication skills to effectively collaborate with cross-functional teams
English - High level

Requirements:
7 years+ of SW development in variety of programming languages
5 years experience of SW development in the industry.
Research capabilities, machine learning experience
Have the resilience to solve complex difficult problems.
Independent, focused, well organized, and capable of prioritizing and multitasking
Be proactive and detail-oriented, yet comfortable working in a dynamic environment with fast paced deliveries and changing requirements
B.SC from a leading University
Advantages:
Experienced with BigData and Machine learning / AI technologies stack
Experienced with languages Python / C / C++
Proven experience with Deep Learning models optimizations on top of GPU

Requirements:
Spent the last 10+ years designing, building, coding and optimizing large-scale B2B SaaS platforms. We work mostly in Python so extensive experience is a must in addition to at least one of: Java, Javascript, Go.
Are excited about clearly and crisply articulating your thoughts in written and verbal form. You iterate and test your communication to make sure you deliver the right message in the best way possible.
Autonomously managed end-to-end projects, including technical design, coding and collaborating with fellow engineers to deliver business value.
Have deep understanding of the following technologies: Docker, Kubernetes, PostgreSQL, Redis, Apache Spark/Apache Flink and AWS.
Experienced or highly interested in Cybersecurity.

Requirements:
* 2 years of experience in establishing CI/CD processes in GCP or AWS cloud environment.
* Experience in creating Docker images and deploying Kubernetes clusters.
* Proficiency in scripting languages such as Python, Bash, PowerShell, and Infrastructure as Code (IaC) tools like Terraform.
* Ability to lead projects end-to-end and self-learning capability.
* Good understanding of cloud networking (Firewalls, VPC, VPN, ports, protocols).
* Familiarity with cloud security processes (certificates, keys, policies).
* Familiarity with SIEM systems is a plus

Requirements:
At least 3 years of experience working as a Data Engineer
At least 3 years of experience working in python development with emphasis on data analysis tools such as numpy, pandas, polars, Jupyter notebook.
Hands-on experience with Spark for large-scale batch processing.
Hands-on experience working with AWS data processing tools and concepts.
Proven understanding in designing, developing and optimizing complex solutions that move and/or manipulate large volumes of data.
Sound understanding of partitioning and optimization techniques of different big data file formats (such as Parquet, DeltaLake, AVRO, HDF5)
Experience with Docker, Linux, CI/CD tools and concepts, Kubernetes.
Experience with data pipelining tools such as Airflow, Kubeflow or similar.
BSc / MSc degree in Computer Science/Engineering / Mathematics or Statistics.
Understanding of ML concepts and processes.
Advantage:
Hands-on experience with DataBricks platform.
Experience working on large scale and complex on-premises systems.
Hands-on experience in ML frameworks and models training and implementation.
Hands-on experience in lower-level programming languages such as C++ or RUST