Senior Staff Engineer, Software

Team Lead, Network Automation Infrastructure (SONiC & AI)

Req : 134329

Region: Americas

Country: USA

State/Province: New Hampshire

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.

• 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.
• Framework Leadership:
  Standardize automated testing using SPyTest, ensuring robust coverage for NOS 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.
• 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.
• Lead a cross‑functional team of Network, Software, and Dev Ops engineers.
• Define the technical roadmap and drive the adoption of Platform Engineering Ops culture across the organization.

• Networking:
  Deep expertise in SONiC, SAI, 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 (GCP/Azure).
• AI/ML:
  Familiarity with integrating LLM APIs for text/log analysis.
• Dev Ops:
  Advanced experience with Git Hub Actions, Azure Dev Ops or Jenkins, and containerization (Docker/Kubernetes).

• Duties are performed in a normal office environment.
• May require extended periods of sitting and visual concentration on a computer monitor.
• Repetitive manual movements such as data entry are frequently required.
• Occasional travel may be required.

Base Salary: 136K – 212K. Target Short‑Term Incentive (STI) compensation is included.

Typical

Experience:

12 to 18 years

Typical

Education:

Bachelor degree or equivalent combination of education and experience.

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, 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.