Software Engineering Technical Leader
AI in this role
Who you will work with
Cisco is transforming its platforms to run the next generation of cloud-native and multi-cloud services. This team builds tools and platforms that enable engineers to procure, manage, and optimize cloud infrastructure at scale across hybrid environments. While we work closely with infrastructure and platform operations, solving complex problems through software engineering is at our core. This role offers the opportunity to operate as a senior technical leader for software and AI-first platform transformation.
Who you Are
You are a senior software engineer with deep technical breadth across architecture, software development, and operations. You lead through both execution and influence, shaping technical direction while enabling teams to deliver high-impact outcomes. You have substantial experience applying AI and machine learning to enterprise software and platform operations and can guide adoption patterns that are scalable, secure, and measurable.
What you'll Do
As a Software Engineer, you will lead strategic platform automation and user-facing capabilities that improve reliability, scalability, and developer experience across Cisco IT cloud services. This role includes leading AI-enabled capabilities, including assistant or agent-driven workflows, intent-based interactions, and ML-enabled operational intelligence. You will drive major initiatives from concept through operation, partnering across product, platform, and engineering organizations.
Responsibilities
Lead development of complex software capabilities that improve cloud platform reliability, scalability, security, and operational efficiency in a DevOps model.
Define and implement AI-enabled platform patterns that improve user journeys and operational outcomes across services.
Architect and guide implementation of cloud-native microservices and APIs in Kubernetes-based environments.
Drive cross-organizational technical planning, architecture alignment, and delivery execution.
Apply LLM/ML frameworks (for example LangChain, LangGraph, PyTorch, or TensorFlow) to enterprise-scale production use cases.
Lead improvements in observability, resiliency engineering, and automation strategy.
Establish high standards for CI/CD, code quality, release reliability, and secure engineering practices.
Lead production-readiness, incident learning, and long-term reliability programs.
Mentor and develop engineers, and provide technical leadership across multiple teams.
Minimum Qualifications
Bachelor's degree in computer science, computer engineering, electrical engineering, or equivalent experience. MS preferred.
9+ years of software development experience with Python and/or Go in enterprise cloud environments.
Deep experience in cloud-native architecture, APIs, microservices, and platform automation.
Strong experience with Kubernetes, containers, CI/CD, and DevOps/SRE-aligned operating models.
Proven experience delivering AI/ML-enabled capabilities in production and scaling adoption across teams.
Strong experience with SQL and NoSQL data platforms and distributed systems concerns.
Demonstrated technical leadership, communication, and cross-functional influence.
Preferred Qualifications
Experience defining AI strategy and implementation standards for platform engineering organizations.
Experience with hybrid cloud platforms and enterprise-scale infrastructure services.
Deep expertise in observability, reliability engineering, and operational excellence practices.
Experience with Infrastructure as Code, policy governance, and secure software supply chains.
Strong track record of mentorship, talent development, and technical community leadership.
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 score this
Software Engineering Technical Leader at Cisco scores 7 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.
AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.
- AI Level 480 to 100
- AI Level 360 to 79
- AI Level 240 to 59
- AI Level 10 to 39
Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- What's a project where you used LangChain hands-on?
- Walk me through how you've used LangGraph in your day-to-day work.
- What are the limits of PyTorch that you've run into, and how did you work around them?
- What's a project where you used TensorFlow hands-on?
Adapt your resume
- List these exact terms on your resume: LangChain, LangGraph, PyTorch, and TensorFlow. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
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