Key skills
Automation Script Framework DevelopmentAutomation Script DebuggingSONiCOpenBMCData Center Hardware ManagementAI Agent IntegrationTest-Driven DevelopmentCI/CD PipelinesREST APIWebhooksAWSAzureGCPLinuxL2/L3 Network ProtocolsSTPBGPOSPFVLANsVXLANLLDPMLAGACLsSNMPDHCPDNSSSLDoSIXIAIxNetworkIxLoadSpirentPythonPyTestRobot FrameworkAzure DevOpsBitBucket PipelinesModular Automation Framework ArchitectureKubernetesDockerGitHub ActionsJenkinsAnalytical TransformationAILLMAgenticPytestTDDBitbucket PipelinesBitbucketSDLCCI/CDCustomer SuccessNetwork Security
About this role
Celestica is a technology leader dedicated to driving customer success and market advancements. They are seeking an experienced network automation script specialist to create an automation script framework that integrates seamlessly into existing software development pipelines, optimizing the product SDLC process. The role involves collaborating with the DevTestOps Team to manage and operate a network automation test infrastructure, utilizing AI for intelligent workflows and predictive quality assessment.
Responsibilities:
- Drive innovative test transformation by creating an automation script framework
- Analyze existing network automation scripts and develop a list of automation script enhancements
- Collaborate with the larger DevTestOps Team and software development teams to build a robust control center for managing network automation test infrastructure
- Integrate agentic AI workflows into automation scripts for test failure problem determination and remediation suggestions
- Lead the design and implementation of a robust automation script framework that enables AI to quickly create new automation scripts
- Maintain and enhance existing automation scripts for execution reliability
- Analyze script failures to identify software components that are below accepted reliability standards
- Work closely with DevTestOps and software development teams to provide debugging and retesting services
Requirements:
- Proven experience building complex automation script frameworks using extensive sets of common libraries
- In depth experience running, triaging, and debugging automation scripts
- Familiarity with high-performance networking environments, specifically SONiC, OpenBMC, and data center hardware management
- Practical experience integrating AI agents or LLM-based workflows into software applications to automate decision-making and analysis
- Deep understanding of test-driven development (TDD), CI/CD pipelines, and robust software engineering practices
- Ability to bridge the gap between cloud-hosted software and physical hardware distributed across global sites
- Lead the design and implementation of a robust, automation script framework that enables AI to quickly create new automation scripts that will run within a confederation of Automation Testbeds
- Maintain and enhance existing automation scripts to maintain hardened execution reliability
- Integrate agentic AI workflows to automate resolution of script failures
- Analyze script failures to identify software components that are below accepted reliability standards
- Work closely with DevTestOps and software development teams to ensure the control center provides services to engineers to assist with debugging and retesting updated scripts
- Understanding of L2/L3 protocols (STP, BGP, OSPF, VLANs, VXLAN), port features (LLDP, MLAG, and ACLs), network services (SNMP, DHCP, DNS), and network security (SSL, DoS)
- Hands-on experience with high-performance traffic generators, specifically IXIA (IxNetwork/IxLoad) or Spirent
- Familiarity with using and configuring IXIA, network switches, and network servers
- Mastery of Python (the industry standard for network automation) and its testing frameworks (PyTest, Robot Framework)
- Experience integrating automation scripts into Azure DevOps or BitBucket Pipelines
- Ability to move beyond 'linear scripts' to build modular, reusable automation scripting framework that can evolve with AI advancements
- The ability to audit legacy scripts and identify specific 'technical debt' to be replaced by AI-driven optimizations
- Ability to speak the 'language' of both hardware network engineers and cloud software developers
- Capacity to see the 'Test Automation Control Center' as a holistic product rather than a collection of isolated scripts
- To connect cloud-hosted control applications with on-prem physical hardware
- Familiarity with hosting automation controllers in environments like AWS, Azure, or GCP
- Advanced knowledge of Linux environments for switch management and script execution