C

Cisco

Makes networking gear and security software

Software Engineer - Multiple Teams

AI Application EngineeringPosted on Nov 13
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related STEM field plus 7 years of related experience; or a master's degree plus 4 years of related experience; or a Ph.D. plus 1 year of related experience.
  • Solid conceptual and practical expertise in software engineering and distributed systems, with broad proficiency across multiple technical job families and modern technology stacks.
  • Expert-level hands-on coding proficiency in one or more of Python, TypeScript, JavaScript, Go, Java, C++, or Rust, with confirmed experience architecting and shipping critically important, enterprise-grade software.
  • A consistent track record of independently leading complex technical features, driving architectural design RFCs, and applying agile engineering methodologies across the full software development lifecycle.
  • A strong background in writing modular, highly testable code, designing automated test suites, and performing comprehensive code reviews.

Responsibilities

  • Apply advanced proven experience, industry procedures, and deep systems understanding to solve technical problems and elevate product capabilities.
  • Work with high autonomy and minimal guidance to resolve optimal architectural patterns, technical designs, and implementation approaches.
  • Drive initiatives end-to-end by scoping requirements, delegating tasks, conducting technical reviews, and delivering results on schedule.
  • Lead medium-to-large feature delivery from architectural design through testing, deployment, and post-launch optimization.
  • Write clean, high-performance, modular code and comprehensive test suites independently.
  • Conduct detailed code reviews to identify immediate bugs and broader architectural risks and maintain a high quality bar.
  • Test, profile, and optimize code to enhance scalability, execution velocity, token throughput, and runtime reliability across distributed systems.
  • Contribute to threat modeling, secure architecture design, and data privacy safeguards across platform features.
  • Monitor production health, serve as a customer concern point for on-call issues, lead blameless postmortems, and author root cause analysis reports.
  • Serve as a recognized subject matter expert across multiple core functional components and AI platform subsystems.
  • Partner across Product Management, Design, Site Reliability Engineering, and Security to identify multi-product synergies and customer value.
  • Track product adoption, performance metrics, and competitive landscapes, and integrate market insights into technical feature designs.
  • Coordinate across engineering teams to provide accurate estimates, track achievements, and proactively remediate risks.
  • Share technical knowledge through internal blogs, tech talks, architecture RFCs, and engineering newsletters.
  • Mentor peer engineers and junior team members through technical guidance and pair programming.
  • Take holistic ownership of feature roadmaps, lead project delivery through delegation and technical review, collaborate with product managers and UX designers on customer-centric solutions, author architectural and user documentation, champion product innovation, optimize the software development lifecycle, and resolve complex development and production issues.

Desired Qualifications

  • Hands-on production experience with generative AI technologies, large language models, Model Context Protocol, LangGraph, LlamaIndex, vLLM, or multi-agent orchestration frameworks.
  • Experience architecting and scaling high-concurrency microservices, low-latency APIs, event-driven architectures using Kafka or RabbitMQ, and distributed caching with Redis.
  • Deep familiarity with cloud-native infrastructure, container orchestration using Docker or Kubernetes, GPU compute environments using Triton Inference Server or CUDA, and vector databases.
  • Expertise in enterprise security patterns, OAuth 2.0, Token Exchange (RFC 8693), Zero Trust architecture, and automated threat modeling.
  • Hands-on experience with modern observability stacks including OpenTelemetry, Prometheus, Splunk, or Grafana, and automated CI/CD deployment pipelines including canary or blue-green deployments.
  • Communication, presentation, and cross-functional leadership skills, including the ability to influence technical roadmaps and mentor engineering teams.

About the Company

Cisco

Makes networking gear and security software

Cisco makes the switches and routers that connect offices, data centers, and cloud services, and it also sells cybersecurity tools and Webex video meetings to businesses and governments. It was one of the first companies to sell routers that let different kinds of computer networks exchange data, and in 2000 it briefly became the world's most valuable company. Customers run its network gear, from Wi-Fi access points to AI data center systems, with Cisco software that sets up and secures the network, while its Splunk unit searches computer logs to catch outages and attacks. Cisco earns money from hardware sales, software subscriptions, and support contracts. It was founded in 1984 and is based in San Jose, California.

Company size
10,001+
Company stage
IPO
Headquarters
San Jose, CA
Founded
1984

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