Description

What you’ll be doing:

Lead and mentor a team of infrastructure and tooling engineers; set technical direction, define priorities, and grow team capabilities

Design, build, and maintain scalable infrastructure for development, integration, and test environments supporting SONiC OS.

Architect and deliver LLM-based tools for intelligent regression analysis — failure classification, root cause clustering, anomaly detection, and test flakiness prediction

Lead efforts to reduce regression runtime through parallelization, smart test selection, and dependency-aware scheduling

Develop deep technical knowledge of SONiC Network OS internals, including its subsystem architecture, SAI/ASIC abstraction layer, and management plane

What we need to see:

B.Sc. degree or equivalent experience in Engineering/Computer Science/related field

8+ overall years of software engineering experience, with at least 3 years of experience in a leadership role, managing software development teams

Proven ability to lead technical teams: hiring, mentoring, technical roadmapping, and cross-team influence

Experienced with developing software testing tools and tests infrastructure

Strong Python programming skills; experience building production-quality automation frameworks and tooling

Demonstrated experience designing and operating CI/CD systems at scale (Jenkins, GitLab CI, GitHub Actions, or equivalent)

Hands-on experience with LLMs or AI-assisted developer tooling — building, integrating, or productizing AI capabilities in an engineering workflow

Strong analytical and problem-solving skills with a bias toward measurable outcomes and data-driven decisions

Ways to stand out from the crowd:

Deep Linux expertise: system internals, networking stack, process management, and scripting

Prior experience building LLM-powered test analysis pipelines or AI-enhanced DevOps tooling in a real production environment

Knowledge of networking protocols and hardware: Ethernet switching, L2/L3 protocols, QoS, VLANs, high-performance data center networking

Experience with code coverage instrumentation in large-scale C/Python codebases and using coverage data for test prioritization

Track record of measurably improving regression runtime, test reliability, or CI throughput in a complex embedded or systems software environment

Key Skills

Education

Any Graduate