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AI Infrastructure Software Architect @ Cisco

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 AI Infrastructure Software Architect

Job Description

Meet the Team

We are an innovation team on a mission to transform how enterprises harness AI. Operating with the agility of a startup and the focus of an incubator, were building a tight-knit group of AI and infrastructure experts driven by bold ideas and a shared goal: to rethinksystems from the ground up and deliver breakthrough solutions that redefine what's possible faster, leaner, and smarter.

We thrive in a fast-paced, experimentation-rich environment where new technologies arent just welcome theyre expected. Here, you'll work side-by-side with seasoned engineers, architects, and thinkers to craft the kind of iconic products that can reshape industries and unlock entirely new models of operation for the enterprise.

If you're energized by the challenge of solving hard problems, love working at the edge of what's possible, and want to help shape the future of AI infrastructure we'd love to meet you.

Your impact

Cisco is seeking a forward-thinking Architect for AI Infrastructure Software to lead the development next-generation AI infrastructure platform. This is a strategic leadership role at the intersection of software engineering and AI systems, where you'll drive the vision, architecture, and execution of high-performance software. Your work will directly impact how enterprises deploy, scale, and optimize AI workloads.

As an Architect,you will be responsible for mentoring a high-caliber team, delivering robust control and data plane solutions, and operating them as a SaaS service with a relentless focus on uptime, quality, and customer success. Youll also guide strategic decisions on resource usages in generative AI systems, working cross-functionally to align product direction with infrastructure capabilities.

Key Responsibilities
  • Architect and develop a SaaS control plane with a focus on ease of use, scalability, and reliability.
  • Design data models to drive APIs, ensuring best practices for usability and operations.
  • Utilize Kubernetes (K8s) as a platform to build scalable, resilient, and high-availability (HA) architectures.
  • Demonstrate a deep understanding of Nvidia and AMD metric collection and AI-driven analysis.
  • Plan and coordinate engineering work, map tasks to releases, conduct code reviews, and resolve technical challenges to unblock releases.
  • Generate architecture specifications and build proof-of-concept (POC) solutions for clarity when needed.
  • Collaborate with product management to understand customer requirements and build architecturally sound solutions. Work closely with engineers on implementation and track progress to ensure alignment with architectural requirements.
  • Manage technical debt with a strong focus on maintaining product quality.
  • Infuse AI tools into day-to-day engineering practices, including code reviews, early bug detection, and test coverage automation.
Required Skills
  • Deep expertise in Golang, Python, C++, eBPF,
  • Kubernetes (K8s), Helm, Kubebuilder, K8S Operator pattern.
  • Hands-on experience with CI/CD pipelines and their impact on release quality.
  • Proven experience building and running SaaS services.
  • Strong design experience with distributed systems and large-scale data collection.
  • Understanding of SLA/SLO principles and managing application scalability.
  • Hands-on experience with the NVIDIA stack and CUDA development.
Minimum Qualifications:
  • Demonstrable experience with:
    • Golang development.
    • Leading CI/CD tools and API-first design practices.
    • Kubernetes operations for running SaaS services.
    • AI tools and generative AI applications for engineering.
  • Comprehensive understanding of software release processes, including the use of feature flags to ensure predictability.
  • Proficiency in using agents during coding, review, CI, and CD processes.
  • Bachelors degree or equivalent with 10+ years of engineering experience.
Preferred Qualifications:
  • Proven leadership experience in building and guiding SaaS software teams in high-growth, dynamic environments.
  • Masters degree or equivalent.

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Technical Architect
Employement Type: Full time

Contact Details:

Company: Cisco
Location(s): Bengaluru

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Keyskills:   kubernetes continuous integration python golang helm cuda algorithms c++ poc ci/cd mentoring artificial intelligence microservices spring high availability java product management saas bpf software engineering code review data structures

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