Software Engineering Technical Leader
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Responsibilities
- Architect and design cloud-native microservices platforms using Kubernetes, API gateways (APISIX), and service mesh patterns for large-scale enterprise deployments
- Build infrastructure-as-code solutions using Terraform and Ansible to orchestrate multi-hypervisor environments (vSphere, Hyper-V, KVM) across hybrid cloud architectures
- Proficiency in prompt engineering, AI-assisted coding tools and integrating LLMs/SLMs and APIs into applications.
- Design and implement CI/CD pipelines using GitHub Actions with sophisticated workflow orchestration, artifact management, and multi-stage deployment automation
- Develop Python-based automation frameworks for test orchestration, deployment management, and infrastructure lifecycle automation with comprehensive error handling and observability
- Lead architectural decisions on observability stacks (Prometheus, Grafana, OpenSearch, Fluent Bit), secrets management (HashiCorp Vault), and security compliance (FIPS, certificate management)
Requirements
- Bachelor's degree in computer science, IT, or Software Systems with 12-15 years of relevant software architecture and development experience with Object Oriented Programming and software design expertise
- 5+ years of hands-on experience designing and deploying production Kubernetes clusters with proven expertise in Helm, operators, ingress controllers, and persistent storage management
- 4+ years of Python development experience building automation frameworks, REST API/FAST API clients, or orchestration tools with production-quality error handling, retry logic, and observability integration
- 3+ years of Infrastructure-as-Code experience using Terraform or Ansible with multi-cloud or hybrid deployment patterns, including resource provisioning, state management, and module development
- Demonstrated experience architecting and designing microservices platforms with API gateways, message queues (Kafka/Redis), and distributed data persistence (PostgreSQL, object storage) with shown scalability and reliability patterns
- Experience with multi-hypervisor infrastructure management (VMware vSphere/vCenter, Hyper-V, KVM) including VM lifecycle automation, resource pool management, and cross-platform orchestration
- Experience with observability stacks (Prometheus, Grafana, Splunk, OpenSearch, Fluent Bit) including metrics collection, dashboard design, and alerting strategies
- Expertise in GitHub Actions CI/CD pipeline design with composite actions, workflow reusability, matrix jobs, and artifact management across distributed build environments
- Knowledge of secrets management and security compliance including HashiCorp Vault integration, certificate management (cert-manager), FIPS compliance, and audit logging
- Strong architectural interpersonal skills with ability to document complex systems, mentor engineering teams, and drive multi-functional technical decisions in fast-paced environments
- Build solutions following Cisco guidelines, best practices and well-defined processes to ensure high quality work you're doing.
- 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 wor
Benefits
Additional Information
Meet the Team The CX Engineering team builds and operates the next generation of AI empowered Cisco's Customer Experience (CX) automation, orchestration and observability platform. We develop cloud-native, Kubernetes-based infrastructure that powers network automation, service provisioning, and closed-loop automation across Cisco's enterprise customer base. Our platform spans hybrid cloud deployments (on-premises and SaaS-connected), multi-hypervisor infrastructure (vSphere, Hyper-V, KVM), and integrates with Cisco's portfolio of network management solutions. You'll join a team of architects, engineers, and automation specialists working on complex distributed systems that combine microservices architecture, infrastructure-as-code, and sophisticated CI/CD pipelines. We value technical excellence, automation-first thinking, and the ability to architect solutions that scale across diverse enterprise environments.
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Company Intel
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