דרושים Cisco

Requirements:
Minimum Qualifications

8+ years of professional software engineering experience, with proven ability to design, implement, and deliver complex distributed systems in production.

Strong problem-solving, debugging, and system-design skills, with a focus on scalability and maintainability.

Validated experience in backend or full-stack development using one or more of the following languages: Java, TypeScript/Node.js, Go, or Python.

Proven understanding of distributed systems, microservices architecture, and RESTful or GraphQL APIs.

Hands-on experience with cloud-native development on AWS, including containerized workloads running on EKS (Kubernetes).

Proficiency with databases relational (e.g., PostgreSQL) or NoSQL (e.g., MongoDB, Redis, OpenSearch) and familiarity with data-driven application design.

Deep understanding of authentication, authorization, and modern identity and access management concepts.

Familiarity with streaming and messaging systems, such as Apache Kafka.

Preferred Qualifications

Experience building or integrating with multiple identity providers (e.g., Okta, Azure AD, Ping) and designing identity fabric or zero-trust architectures.

Exposure to AI-driven platforms, leveraging AI/ML for developer productivity, anomaly detection, or access intelligence.

Knowledge of Infrastructure as Code (IaC) tools such as Helm and Terraform, and familiarity with observability stacks (Prometheus, Grafana, OpenTelemetry).

Background in security-focused design, including secrets management, policy-as-code, and compliance automation.

Experience contributing to platform engineering or developer-enablement initiatives in large-scale environments.

Passion for innovation, continuous improvement, and building tools that make developers lives easier.

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 software engineering experience, with proven ability to design, implement, and deliver complex distributed systems in production.

Strong problem-solving, debugging, and system-design skills, with a focus on scalability and maintainability.

Proven experience in backend or full-stack development using one or more of the following languages: Java, TypeScript/Node.js, Go, or Python.

Solid understanding of distributed systems, microservices architecture, and RESTful or GraphQL APIs.

Hands-on experience with cloud-native development on AWS, including containerized workloads running on Kubernetes (EKS).

Proficiency with databases relational (e.g., PostgreSQL) or NoSQL (e.g., MongoDB, Redis, OpenSearch) and familiarity with data-driven application design.

Experience using GitHub and GitHub Actions for version control, CI/CD, and collaborative development.

Understanding of authentication, authorization, and modern identity and access management concepts.

Familiarity with streaming and messaging systems, such as Apache Kafka.

Preferred Qualifications

Experience building or integrating with multiple identity providers (e.g., Okta, Azure AD, Ping) and designing identity fabric or zero-trust architectures.

Exposure to AI-driven platforms, leveraging AI/ML for developer productivity, anomaly detection, or access intelligence.

Knowledge of Infrastructure as Code (IaC) tools such as Helm and Terraform, and familiarity with observability stacks (Prometheus, Grafana, OpenTelemetry).

Background in security-focused design, including secrets management, policy-as-code, and compliance automation.

Experience contributing to platform engineering or developer-enablement initiatives in large-scale environments.

Passion for innovation, continuous improvement, and building tools that make developers lives easier.

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.

Requirements:
Minimum Qualifications
B.Sc. in Electrical Engineering with 5+ years of experience
Strong logic design and coding skills
Solid understanding of networking principles and protocols

Preferred Qualifications
Proficiency in software development (C++, Python)
Strong technical documentation and presentation skills
Ability to quickly learn new concepts and technologies
Meticulous attention to detail in networking system solutions

Requirements:
Minimum Qualifications

5+ years of hands-on frontend development experience with React, Angular, Webpack/RSPack, and SCSS/HTML.
Up to date with AI tools and methodologies, and familiar with UI Ops and continuous delivery practices.
Excellent English communication skills (verbal and written) and proven experience working with global, cross-functional teams.

Preferred Qualifications

Backend development experience.
Experienced in modern testing tools such as Cypress and Playwright, experience with Playwright MCP a major advantage.
Experience with advanced product integrations and cross-product AI-driven interfaces.
Experience mentoring and coaching junior frontend developers.
A perpetual learner with a passion for clean, scalable, and user-friendly design.

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

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

6+ years of experience in digital logic design verification
Advanced knowledge of SystemVerilog and UVM
Strong debug skills both pre-silicon and in-lab

Preferred Qualifications

Scripting skills (Python, Perl, TCL, or shell)
Experience with system-level integration (AMBA, PCIe, SPI, I2C, JTAG, CPU)
Basic software knowledge (driver-level)
Basic design knowledge and familiarity with CDC concepts

Requirements:
Minimum Qualifications:

B.Sc. in Computer Science, Software Engineering, or a related field, with 8+ years of related experience
Extensive experience designing and building large-scale distributed backend systems
Strong expertise in backend technologies (Python, NodeJS, AWS, Docker, Kubernetes, etc.)
Demonstrated ability to lead complex technical projects from design to deployment
Preferred Qualifications:

Proven experience leading architecture initiatives and mentoring development teams
Deep understanding of performance optimization, reliability, and scalability principles
Strong communication and cross-team collaboration skills
Experience defining product direction and managing technical backlogs in collaboration with cross-functional teams
Ability to balance product goals with technical constraints, ensuring high-impact, high-quality delivery
Ability to influence without authority and drive alignment on technical decisions
Passion for innovation, continuous improvement, and engineering excellence