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Software Engineering Technical Leader

Cisco is hiring a Software Engineering Technical Leader in Tel Aviv, Israel. Level rates it ; you can apply on Cisco.

Level's read on this job

  • On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
  • Level classifies it as a senior role.
  • Level lists 1,400+ other open roles at Cisco.
  • The role was posted in the last few days.

AI in this role

Cisco's Cloud Control group in Tel Aviv is looking for a Software Engineering Technical Leader to shape the platform's user experience and technical direction.


Meet the Team

The Cisco AI Software & Platform Group builds Generative AI solutions that transform Cisco products and customer experiences. The group is also developing offerings that help customers adopt Generative AI responsibly and at scale. Its platforms support Cisco teams and partners across Security, Enterprise Networking, Collaboration, and Splunk.


Your Impact

As a Technical Leader in Cisco Cloud Control, you’ll help build the next-generation platform that brings Cisco’s product portfolio together through an AI-native experience. You’ll provide hands-on technical leadership across engineering teams in Tel Aviv and around the world, helping turn product goals into technical direction, architecture, and reliable product capabilities.

  • Set technical direction for complex, end-to-end product capabilities, balancing customer needs, delivery plans, and long-term platform health.
  • Lead architecture and design for scalable distributed systems, including services built with relational and NoSQL databases, message queues, and event-driven patterns.
  • Guide the development of modern web experiences and supporting backend services, including cross-product integrations.
  • Lead technical discussions with architects, product managers, designers, and engineering partners, bringing teams to clear decisions and plans.
  • Raise the bar for security, scalability, resilience, performance, observability, and production readiness across the systems you influence.
  • Stay hands-on in the codebase, review designs and code, and help teams resolve complex technical and production issues.
  • Mentor engineers and technical leads, share context across teams, and help grow a strong engineering culture.
  • Help evolve our AI software factory practices by identifying high-value stages of the software lifecycle for AI-assisted or agent-based workflows, and guiding teams in building reusable workflows for activities such as implementation, testing, review, documentation, and delivery.
  • Establish practical quality and safety controls for AI-assisted development, including human review, automated tests, security checks, evaluation of generated changes, and monitoring of outcomes.

Minimum Qualifications

  • 9+ years of hands-on software development experience, or equivalent practical experience.
  • Strong experience with cloud-native architectures, microservices, APIs, and production operations, including designing and operating scalable, reliable distributed systems.
  • Hands-on experience with SQL and NoSQL databases, message queues, and event-driven architectures.
  • Experience with modern software development practices, including CI/CD, observability, and production system integration.
  • Demonstrated ability to set technical direction, make architecture decisions, and guide delivery across multiple engineers or teams; strong communication skills to explain trade-offs and build alignment across engineering and product teams.

Preferred Qualifications

  • Full-stack software development experience.
  • Experience integrating AI capabilities into production software.
  • Experience using AI coding assistants or agent-based tools in a production software development lifecycle.
  • Experience designing or improving reusable AI-enabled engineering workflows, such as agents or automation for requirements, design, coding, testing, code review, documentation, or CI/CD.
  • Understanding of how to evaluate AI-generated code and workflows for correctness, security, privacy, reliability, and maintainability.
  • Experience leading geographically distributed teams and cross-functional initiatives.
  • Strong adaptability and resilience in a dynamic environment.
  • Strong written and verbal English communication skills.

Why Cisco?

At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.

Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.

We are Cisco, and our power starts with you.

How we rate this

Software Engineering Technical Leader at Cisco rates 62 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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