11 - Senior Staff Engineer, Software

Team Lead, Network Automation Infrastructure (SONiC & AI)

Req ID: 134329
Region: Americas
Country: USA State/Province: New Hampshire
City: Remote Employee US

General Overview

Functional Area: Engineering
Career Stream: Design - Software Engineering
Job Code: SSE-ENG-DSE
Job Level: Level 11
IC/MGR: Individual Contributor
Direct/Indirect Indicator: Indirect

Summary

We are seeking a visionary Team Lead to spearhead the design and deployment of a next-generation, network device automation infrastructure. This is not a traditional "scripting" role; you will be building a full-stack, SDLC-integrated ecosystem centered around products running SONiC (Software for Open Networking in the Cloud) and OpenBMC.

Your mission is to bridge the gap between cloud-native software development and physical on-prem hardware. You will lead a team in building a platform that automates everything from the moment a developer submits a Pull Request to the final Regression Validation on physical test beds using high-performance IXIA traffic generators. You will use your knowledge of AI agents to integrate intelligent workflows that can select the best automation test cases to run to analyze test failures for rapid resolution.

Detailed Description

Infrastructure & SDLC Integration

• 
  Architect a CI/CD Pipeline: Design the integration between Git-based workflows and physical hardware labs, ensuring code changes trigger automated builds and deployments to SONiC-based switches.
  
• 
  Cloud-to-On-Prem Connectivity: Lead the development of a cloud-hosted GUI and backend services that securely manage and command on-premise physical test beds.
  
• 
  Hardware Abstraction: Oversee the management of physical test beds, ensuring consistent state and availability for automated testing.
  

Test Engineering & Validation

• 
  Framework Leadership: Standardize automated testing using SPyTest, ensuring robust coverage for NOS (Network Operating System) features.
  
• 
  Traffic Emulation: Integrate IXIA traffic generators into the automated suite to perform high-scale performance, stress, and regression testing.
  
• 
  Regression Management: Own the final validation gate, ensuring that no code reaches production without passing a rigorous, automated physical battery.
  

AI-Driven Operations (The Future)

• 
  Failure Analysis Agents: Build and deploy AI/LLM-based agents to parse complex log files and SPyTest results to identify the "root cause" of test failures automatically.
  
• 
  Self-Healing Test Beds: Develop agents capable of test bed failure recovery (e.g., automatically power-cycling hung PDUs, re-flashing corrupted ONIE images, or re-seating virtual links).
  
• 
  Quality Insights: Leverage AI to analyze long-term software quality trends and predict potential regressions before they occur.
  

Leadership & Mentorship

• 
  Lead a cross-functional team of Network, Software, and DevOps engineers.
  
• 
  Define the technical roadmap and drive the adoption of Platform Engineering Ops culture across the organization.
  

Knowledge/Skills/Competencies

• 
  Networking: Deep expertise in SONiC, SAI (Switch Abstraction Interface), and standard protocols (BGP, EVPN, VXLAN).
  
• 
  Automation Frameworks: Expert-level knowledge of SPyTest and Python-based automation.
  
• 
  Hardware: Experience with IXIA (IxNetwork/IxLoad) and physical switch hardware (Mellanox/NVIDIA, Broadcom-based whitebox).
  
• 
  Software Development: Strong proficiency in Python, C/C++, Rust, or Java; experience building RESTful APIs and cloud-native backends (Google Cloud Platform/Azure).
  
• 
  AI/ML: Familiarity with integrating LLM APIs (like Google Gemini) for text/log analysis.
  
• 
  DevOps: Advanced experience with GitHub Actions, Azure DevOps or Jenkins, and containerization (Docker/Kubernetes).
  

Physical Demands

• Duties of this position are performed in a normal office environment.
• Duties may require extended periods of sitting and sustained visual concentration on a computer monitor or on numbers and other detailed data.
• Repetitive manual movements (e.g., data entry, using a computer mouse, using a calculator, etc.) are frequently required.
• Occasional travel may be required.

Typical Experience

• 12 to 18 years

Typical Education

Bachelor degree or consideration of an equivalent combination of education and experience.

Educational Requirements may vary by Geography

Notes

This job description is not intended to be an exhaustive list of all duties and responsibilities of the position. Employees are held accountable for all duties of the job. Job duties and the % of time identified for any function are subject to change at any time.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Celestica's policy on equal employment opportunity prohibits discrimination based on race, color, creed, religion, national origin, gender, sexual orientation, gender identity, age, marital status, veteran or disability status, or other characteristics protected by law.
This policy applies to hiring, promotion, discharge, pay, fringe benefits, job training, classification, referral and other aspects of employment and also states that retaliation against a person who files a charge of discrimination, participates in a discrimination proceeding, or otherwise opposes an unlawful employment practice will not be tolerated. All information will be kept confidential according to EEO guidelines.

COMPANY OVERVIEW:
Celestica (NYSE, TSX: CLS) enables the world's best brands. Through our recognized customer-centric approach, we partner with leading companies in Aerospace and Defense, Communications, Enterprise, HealthTech, Industrial, Capital Equipment and Energy to deliver solutions for their most complex challenges. As a leader in design, manufacturing, hardware platform and supply chain solutions, Celestica brings global expertise and insight at every stage of product development - from drawing board to full-scale production and after-market services for products from advanced medical devices, to highly engineered aviation systems, to next-generation hardware platform solutions for the Cloud. Headquartered in Toronto, with talented teams spanning 40+ locations in 13 countries across the Americas, Europe and Asia, we imagine, develop and deliver a better future with our customers.

Celestica would like to thank all applicants, however, only qualified applicants will be contacted.
Celestica does not accept unsolicited resumes from recruitment agencies or fee based recruitment services.

This location is a US ITAR facility and these positions will involve the release of export controlled goods either directly to employees or through the employee's movement within the facility. As such, Celestica will require necessary information from all applicants upon an applicant's acceptance of employment to determine if any export control exemptions or licenses must be filed.