לוח משרות דרושים מתכנת Python

Requirements:
Required Qualifications:
3+ years of experience in large-scale product development and maintenance of production systems.
professional experience developing in C or C++.

Other Requirements:
Ability to meet us, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: 
Our Cloud Background Check: This position will be required to pass the Cloud Background Check upon hire/transfer and every two years thereafter.

Preferred Qualifications:
Bachelor's Degree in Computer Science.
OR related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript,
OR Python
OR Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience.
1+ years experience with operating systems internals.
Familiarity with scrum tracking tools such as JIRA or Azure DevOps.
Understanding TCP/IP and other networking concepts.
Experience in one or more of the following: Linux and Windows networking stacks and other OS components; Reliable, high availability software development; Host network offloads; RDMA, SR-IOV; Virtualization (hypervisors, virtual machine switching); TCP/IP; Switching and routing protocols; Network hardware - NICs, switches, routers; Load balancing; Network virtualization (NVGRE, VXLAN); QoS and scheduling; Networking at scale, deployment and servicing at scale; Cloud networking architectures; Performance optimization of low-level code.

Requirements:
The ideal candidate for the AI Team Lead position should have:

A Masters or Ph.D. in Computer Science, Machine Learning, or a related field.

Over 5 years of experience in AI/ML roles, with at least 1 year in a leadership capacity.

A strong technical background in machine learning, deep learning, and data science.

A proven track record of successfully delivering AI projects in a production environment.

Expertise in Python and popular ML frameworks.

Experience with cloud platforms (AWS, GCP, or Azure) and proficiency in MLOps tools is a plus.

A strong understanding of software engineering principles and best practices.

Excellent communication skills, with the ability to convey complex technical concepts to both technical and non-technical audiences.

Familiarity with agile development methodologies.

Strong leadership and mentoring abilities, with the talent to inspire and motivate a team.

Requirements:
5+ years of experience in software development
Deep experience in at least one OOP language (e.g., Python, C#)
Experience with cloud-native environments and containerization (Docker, Kubernetes).
Familiarity with scalable architecture, distributed systems, and performance optimization
Strong understanding of testing strategies, code quality, and security best practices
Fluent in English and Hebrew - written and verbal
Experience with fintech, global teams, or scaling SaaS - Bonus
Bachelors degree in computer science or equivalent experience

Requirements:
7+ years of experience in software development
Deep experience in at least one OOP language (e.g., Python, C#)
Experience with cloud-native environments and containerization (Docker, Kubernetes).
Familiarity with scalable architecture, distributed systems, and performance optimization
Strong understanding of testing strategies, code quality, and security best practices
Fluent in English and Hebrew - written and verbal
Experience with fintech, global teams, or scaling SaaS - Bonus
Bachelors degree in computer science or equivalent experience

Requirements:
5 years of experience in building complex backend systems.
Experience in Python / C# / Golang is a significant advantage.
Expertise in microservice architecture
Proficiency in working with various backend technologies such as databases, caches, k8s, containers, Kafka and cloud environments.
Excellent problem-solving skills and ability to work well in a team.
Experience in the cybersecurity space is an advantage.

Requirements:
3+ years of experience working in DFIR/Research roles.
High-level of proficiency in coding, particularly in Python (PySpark).
Demonstrate knowledge of Windows and Linux forensic techniques, tools, and concepts.
Strong knowledge of network architecture fundamentals (Proxies, NAT, firewalls, IDPS, DMZ, etc.) as well as common network protocols and applications (TCP/UDP, DNS, HTTP/S, etc.)
Strong technical foundation of standard Information Technology concepts and services, including active directory environment.
Experience working with multiple enterprise security solutions (e.g., SIEMs, Firewalls, IDPS, AV/EDRs, IAM, DLP, etc.)
Proven success contributing to a team-oriented environment.
Strong critical thinking, deductive reasoning, problem-solving, and prioritization skills.

Requirements:
8 years of experience in Backend development (At least 2 years experience in developing big systems with Python) - Must
Asynchronous programming and experience in developing performance-critical applications
2 years of experience working with AWS, Docker, and microservices Must
Experience with Machine Learning Advantages
Algorithms development (collaborative filtering, similarity, data normalization, clustering) - Advantages
Excellent analytical and time management skills
Teamwork skills with a problem-solving attitude.

Requirements:
At least 2 years as team leader of R&D team.
At least 3 years of proven experience as a software engineer, 2 out of them hands-on in Python.
Working with a multi-threaded environment and on large-scale systems
Working with AWS, Docker, and microservices Advantages
Teamwork skills with a problem-solving attitude
Strong troubleshooting skills
Ability to solve a complex problem in a timely manner
Soft Skills
Great interpersonal skills
Fast technology adaptation
Independently driven, proactive, accountable, reliable, team player.

Requirements:
5+ years of hands-on experience in software development, with strong proficiency in C# or Java
Proficiency in Python, SQL, PySpark (advantage).
Understanding of microservice architecture (advantage).
Familiarity with Kubernetes (advantage).
Experience with cloud and technologies such as Databricks (Apache Spark) (advantage).
Strong analytical mindset, excellent problem-solving skills, and a drive to turn complexity into clarity.
Excellent communication and collaboration skills, with the ability to work independently and adapt quickly in a dynamic environment.
Demonstrated ability to lead and deliver end-to-end data solutions, integrating across teams and driving execution to completion.

Requirements:
5 years of experience in building complex backend systems.
Experience in Python / C# / JAVA / .NET is a significant advantage.
Expertise in microservice architecture
Proficiency in working with various backend technologies such as databases, caches, k8s, containers, Kafka and cloud environments.
Excellent problem-solving skills and ability to work well in a team.
Experience in the cybersecurity space is an advantage.

Requirements:
At least 3 years of experience as an AI Architect/Principal Engineer.
At least 2 years of experience with building ML or LLM-based applications in production.
At least 5 years of Python or equivalent programming experience.
Bachelors or a master's degree in computer science, data science, or equivalent field.
Knowledge in MLOps - bonus.
Team player with a positive and fun attitude.
Strong interpersonal, leadership, and communication skills.
Capacity to work in a fast-changing environment.
Experience designing, building, and operating large systems with scalability, availability, testing, and performance requirements.

Requirements:
3-4 years of Python or Javascript programming experience.
Team player with a positive and fun attitude.
Capacity to work in a time-sensitive and high-volume environment.
Bachelors Degree or equivalent practical experience in a relevant field.
Strong interpersonal and communication skills.
Familiarity with test-driven development, clean architecture, and design patterns.
Advantages:
Experience designing, building, and operating large systems with scalability, availability, testing, and performance requirements.
knowledge of functional programming principles and NLP or conversational AI.

Requirements:
4+ years of experience in managerial positions.
4+ years of hands-on software engineering experience in Python and Javascript (Node.JS) (advantage)
Familiarity with industry-standard monitoring systems (e.g. Splunk, DataDog, New Relic, etc.)
Familiarity with AWS / Azure / GCP services
Experience using Databases (MySQL / Postgres / Snowflake / MongoDB)
Experience designing, building, and operating large systems with emphasis on scalability, high availability, comprehensive testing, and performance optimization.
Experience building virtual assistants or SaaS products - advantage
Strong interpersonal and communication skills with proficient English

Requirements:
5+ years of experience in Data Science. Experience in developing ML / DL / LLM / NLP algorithms.
Bachelors or Masters degree in Data Science, Computer Science, Statistics, or a related field, with a significant focus on machine learning.
High proficiency in Python.
Excellent understanding of machine learning techniques, algorithms, and methodology.
Experience with common data science toolkits, such as Pandas, Scikit-learn, Tensorflow, and more.
High-level applied statistics skills, such as distributions, statistical testing, etc.
Experience in data mining and insight drawing from large data sets.
Data-oriented personality, analytical mind, and problem-solving aptitude.
Experience in Constraint programming or Network science - an advantage.
A team player with a can-do attitude, delivery-oriented.

Requirements:
5-6 years of Python or Javascript programming experience.
Team player with a positive and fun attitude.
Capacity to work in a time-sensitive and high-volume environment.
Bachelors Degree or equivalent practical experience in a relevant field.
Strong interpersonal and communication skills.
Familiarity with test-driven development, clean architecture, and design patterns.
Advantages:
Experience designing, building, and operating large systems with scalability, availability, testing, and performance requirements.
knowledge of functional programming principles and NLP or conversational AI.