לוח משרות דרושים בוגרי יחידות טכנולוגיות/אקדמיה משרה מלאה

Cisco Silicon One team is undergoing rapid growth and seeking Software Engineers at all stages of their careers whether you're just starting out or bringing years of experience.



Meet the Team

Join the Cisco Silicon One team developing a unified silicon architecture for web-scale and service provider networks. Cisco's silicon team provides an outstanding, unique experience for ASIC and Software engineers by combining the resources offered by a sizable multi-geography silicon organization with the startup culture and breadth of growth opportunities that working in a smaller team can provide.



Your Impact

Craft and develop software driving the world's most complex infrastructures
Gain intimate knowledge of world-class silicon and programming models
Work with architecture and design teams to define the next generation of ASIC products being developed

We're a high-impact, fast-moving data fabric team within the CX Platform at Cisco, serving as the core of our enterprise data platform. Our team blends data engineering with a strong focus on scalability, infrastructure, and data-intensive workflows. You'll be working alongside seasoned engineers with deep expertise in modern data pipelines, cloud-native architectures, AI/ML integration, and large-scale distributed systems offering exceptional opportunities to learn cutting-edge technologies and advance in a rapidly evolving field.

Your Impact

As a Software Engineer in the team, you will contribute to the design, development, and operation of our comprehensive data fabric an enterprise-grade system that enables data-driven decision-making and high-impact product features across Cisco. You'll work closely with a cross-functional team of engineers, product managers, and data experts to build scalable data infrastructure and intelligent data management capabilities that power internal and external services. You will:
Drive the development of sophisticated and robust logic and backend infrastructure that supports large-scale data and compute workflows.
Collaborate across teams to design solutions that meet performance, reliability, and security requirements.
Contribute to the automation and optimization of engineering processes, improving deployment velocity and system health.
Participate in the full software development lifecycle, from ideation and design to deployment and monitoring.
Help shape engineering standards, technical architecture, and operational best practices within the team.

Cyberint, a market leader in External Risk Management, empowers global organizations to detect, respond, and remediate external threats efficiently. Now part of Check Point, Cyberint continues to grow and innovate at the intersection of cybersecurity and cloud-native SaaS technologies.

Join Our Operations Team

We are seeking a proactive, experienced Site Reliability Engineer (SRE) to join our dynamic Operations team. Youll be working on a cutting-edge SaaS solution that runs on AWS (EKS-based Kubernetes infrastructure), supporting an architecture with many moving parts. If you're driven by reliability engineering, love automation, and want to make an impact on mission-critical platforms, this role is for you.

What Youll Do

As an SRE at Cyberint, you will be instrumental in ensuring the observability, stability, and scalability of our platform. You will develop automated solutions and monitoring tools to proactively detect and respond to incidents, improve system resilience, and collaborate with engineering teams across the company to embed operational excellence into our product lifecycle.

Additionally, you will help evolve our AI-driven operational and monitoring tooling, including our on-call assistant bot, which leverages AI technologies to streamline incident resolution, automate repetitive tasks, and support real-time decision-making for engineers.

Key Responsibilities
Design, implement, and maintain monitoring and alerting systems (e.g., Prometheus, Grafana) to detect and prevent reliability issues.
Develop tools and automation (Python, Bash, etc.) for improving infrastructure reliability and operational efficiency.
Collaborate with R&D and Product teams to embed reliability-first principles into every stage of the development process.
Participate in and improve incident response processes, including running blameless postmortems and implementing preventive measures.
Enhance our Infrastructure-as-Code (IaC) and CI/CD practices to streamline deployments and reduce risk.
Maintain and extend internal AI-driven tools, such as bots that support SRE workflows (on-call management, triaging, etc.).
Document infrastructure, playbooks, and operational procedures to facilitate onboarding and knowledge sharing.