לוח משרות דרושים מהנדסים בתל אביב יפו

Requirements:
23 years of experience as a Software Developer, preferably with Full Stack or data-platform experience
Strong working experience with Python and/or TypeScript/JavaScript (Node.js)
Solid understanding of software engineering principles, design patterns, and clean code practices
Experience with REST APIs, SQL and NoSQL databases
Familiarity with Docker, cloud infrastructure, and microservices architectures
Strong problem-solving abilities and the ability to work independently in a fast-paced environment
Team player with excellent communication, ownership, and collaboration skills
BSc in Computer Science, Software Engineering, or equivalent experience

Requirements:
14 years of professional experience in a relevant networking or security support role
Excellent written and verbal communication skills in English
Practical experience with TCP/IP networking protocols
Hands-on experience with Routing & Switching technologies (e.g., OSPF, BGP, VLAN)
Experience working with security technologies such as IPSec, SSL-VPN, NAT
Experience working with Linux-based systems
Strong troubleshooting skills with the ability to independently debug complex network environments involving diverse media and protocols
Review traffic captures to identify and resolve network or security-related problems.
Ability to quickly learn new technologies and adapt to evolving environments (self-learning abilities).
Excellent problem-solving skills, customer focus, and ability to work effectively in a team environment.

Requirements:
Minimum Qualifications:

A PhD in computer science or related fields OR Masters with 1 year of related industry experience OR Bachelors with 2 years of related industry experience (or equivalent coursework/research experience).
Strong programming skills in generic programming languages such as Python or Golang.

Experience in one or more of the following areas:
Designing and building scalable, reliable, and secure backend infrastructure (e.g., distributed systems, cloud services, data pipelines, APIs) for large-scale applications.
Developing and deploying machine learning or deep learning models, with practical application of core concepts such as bias and variance, supervised and unsupervised learning, and Generative AI.

Preferred Qualifications:

Comfortable with fast, iterative development cycles in an environment that requires autonomous thinking, risk taking and bias for action.

Ability to use the latest GenAI technologies and methodologies for software development workflows.

Familiarity with ML frameworks like PyTorch.

Excellent written and verbal communication skills, strong analytical and problem-solving skills.

Fluency in reading academic papers on AI/ML and security and the ability to translate their ideas into prototype or production systems.

Requirements:
Minimum Qualifications:

A PhD in computer science or related fields with 5 years of industry or academic experience in artificial intelligence, OR Masters with 7 years of related industry experience OR Bachelors with 10 years of related industry experience.
Strong programming skills in generic programming languages such as Python.

Experience in one or more of the following areas:
Designing and building scalable, reliable, and secure backend infrastructure (e.g., distributed systems, cloud services, data pipelines, APIs) for large-scale applications.
A strong background in AI, machine learning, and deep learning technologies, with a solid understanding of core ML concepts such as bias and variance, supervised and unsupervised learning, and Generative AI.
Developing, training, fine-tuning, or evaluating AI/ML models, algorithms, or platforms (including deep learning, reinforcement learning, generative models, etc.).

Preferred Qualifications:

Comfortable with fast, iterative development cycles in an environment that requires autonomous thinking, risk taking and bias for action.
Ability to use the latest GenAI technologies and methodologies for software development workflows.
Familiarity with ML frameworks like PyTorch.
Excellent written and verbal communication skills, strong analytical and problem-solving skills.
Fluency in reading academic papers on AI/ML and security and the ability to translate their ideas into prototype or production systems.

Requirements:
Minimum Qualifications

5+ years of professional experience in software engineering, data engineering, or product ownership roles.
Strong development experience with Python or Golang (both advantage).
Demonstrated ability to translate business requirements into technical roadmaps and deliverables.
Experience working in Agile/Scrum environments and managing product backlogs.
Experience with orchestration and containerization (Kubernetes, Docker).
Familiarity with Linux and cloud infrastructure (especially AWS).
Preferred Qualifications

Bachelors or masters degree in computer science, Engineering, or related field.
Familiarity with data warehousing and modern data stack technologies.
Proven hands-on experience with Apache Airflow, and Apache Spark.
Knowledge of message queues and real-time systems (RabbitMQ, Redis, Kinesis).
Knowledge of DevOps and CI/CD tools.
Strong stakeholder management and communication skills.
Ability to balance technical depth with strategic vision.

Requirements:
Minimum Qualifications:

A PhD in computer science or related fields OR Masters with 2 years of related industry experience OR Bachelors with 4 years of related industry experience.
Strong programming skills in generic programming languages such as Python or Golang.

Experience in one or more of the following areas:
Designing and building scalable, reliable, and secure backend infrastructure (e.g., distributed systems, cloud services, data pipelines, APIs) for large-scale applications.
AI, machine learning, and deep learning technologies, with a solid understanding of core ML concepts such as bias and variance, supervised and unsupervised learning, and Generative AI.

Preferred Qualifications:

Comfortable with fast, iterative development cycles in an environment that requires autonomous thinking, risk taking and bias for action.
Ability to use the latest GenAI technologies and methodologies for software development workflows.
Familiarity with ML frameworks like PyTorch.
Excellent written and verbal communication skills, strong analytical and problem-solving skills.
Fluency in reading academic papers on AI/ML and security and the ability to translate their ideas into prototype or production systems.