Principal engineer building AI-native developer platforms for Broadcom’s enterprise infrastructure customers. Designing APIs, Kubernetes tooling, and LLM systems while influencing product roadmaps.
Responsibilities
Serve as a technical authority, enterprise developer advocate, and field-to-engineering leader across the Infrastructure Software Division
Embed with complex enterprise accounts to improve how developer teams build, deploy, and scale AI-native applications
Design, validate, and standardize REST, gRPC, and GraphQL APIs, Kubernetes CRDs, and SDKs
Establish continuous delivery pipelines, GitOps patterns using ArgoCD and Flux, and self-service developer portals
Build CLI tools, testing harnesses, and automation frameworks for VKS and VCF platform adoption
Architect production environments for real-time LLM inferencing, agentic frameworks, and RAG pipelines on GPU clusters
Standardize integrations for LangChain, LlamaIndex, AutoGen, and vLLM and expose enterprise-compliant model-serving API gateways
Define execution patterns for containerizing, orchestrating, and tuning AI runtime engines alongside vector databases and caching layers
Write production Go, Python, and TypeScript code, including platform operators, custom controllers, and AI wrappers
Upstream field contributions into core ISG product codebases
Translate developer friction and field workarounds into architectural requirements for product managers
Establish API design, developer documentation, and code quality standards across the FDE organization
Requirements
10+ years of software engineering experience
5+ years driving Developer Experience (DevEx), API design, or AI platform architectures at scale
Proven technical credibility with C-suite leadership while remaining hands-on with staff-level software developers and systems engineers
Authority-level mastery of RESTful API design, gRPC, OpenAPI specifications, and API Gateway integration
Deep understanding of Kubernetes internals, custom controllers, CRDs, Operator patterns, and Cluster API (CAPI)
Proficiency in GitOps workflows and infrastructure-as-code automation
Hands-on experience building or supporting LLM/Generative AI application stacks
Experience with LangChain, LlamaIndex, Haystack, Semantic Kernel, Ray, vLLM, SGLang, and Triton Inference Server
Experience with vector databases and search technologies including Milvus, Qdrant, Pinecone, pgvector, and Weaviate
Experience with Apache Kafka, Redis, Pulsar, Apache Spark, and Flink
Experience integrating virtualized GPU workloads including NVIDIA vGPU, MIG, and GPUDirect RDMA
Advanced proficiency in Go, Python, and TypeScript/Node.js
Fluency across EKS, GKE, AKS, OpenShift, and Rancher
Experience with standard application network and storage abstractions
17+ years of total professional experience in technical software roles required
Bachelor's degree in Computer Science, Software Engineering, or related technical field preferred; relevant years of equivalent experience considered in lieu of a degree
Benefits
Discretionary annual bonus
Competitive new hire equity grant
Annual equity awards
Medical, dental and vision plans
RRSP participation including company matching
Employee Stock Purchase Program (ESPP)
Employee Assistance Program (EAP)
Company-paid holidays
Paid sick leave
Vacation time
Leaves of absence in accordance with applicable laws
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