R&D Staff Software Engineer

Broadcom•San Diego, CA

1d•$121,900 - $195,000•Onsite

About The Position

Join the Avi Analytics team to deliver high-scale performance monitoring, security, and intelligence telemetry for global enterprises. Beyond our core charter, this team has a storied history of innovation and an extensive patent portfolio. We foster a culture of intellectual curiosity turning creative ideas into tangible solutions. You’ll fit right in if you're someone who adopts a first-principles approach to problem-solving, love deep-diving into distributed systems to optimize scale and performance, and enjoy the challenge of making data flow seamlessly at a massive scale. This on-site position is based in Palo Alto, California. You will join a global, cross-border team of talented engineers operating across India, Germany, and the USA.

Requirements

Minimum of 12+ years of experience in software development with a focus on backend systems.
Proven experience leading the end-to-end lifecycle of a product, from initial design to production deployment and maintenance.
Expert Level (GoLang & Python): Deep mastery of Go (concurrency, profiling, and performance tuning) and Python (data manipulation and backend services).
Moderate Level (C++): Ability to maintain and optimize performance-critical components or interface with lower-level system libraries.
Microservices at Scale: Proven experience designing and delivering production-grade microservices for high-throughput, cloud-scale environments.
Communication Protocols: Proficiency in gRPC, Google Protocol Buffers (Protobuf), and RESTful API design, with a deep understanding of the HTTP/S stack.
Data Persistence & Search: Hands-on experience with one or more of the following: OpenSearch/Elasticsearch, PostgreSQL, Redis, or Neo4j (or their equivalents).

Nice To Haves

Networking Domain Expertise: Strong understanding of L4–L7 networking, TCP/IP, HTTP/S protocols, and load-balancing principles.
Advanced Data Engineering: Background in building data pipelines specifically for security and intelligence platforms (e.g., threat detection, anomaly detection, or predictive analytics).
Analytics Background: Familiarity with time-series data, stream processing, and large-scale data visualization backend logic.
Data Science Tools: Experience with data modeling and statistical analysis using Python libraries such as Pandas, NumPy, and Scikit-Learn.
Orchestration: Working knowledge of Kubernetes and experience with Temporal (or similar workflow engines like Cadence) for managing distributed transactions.

Responsibilities

Architecting and building high-performance, cloud-scale analytics and security solutions.
Envisioning and delivering highly resilient, microservices-based solutions that process massive streams of telemetry for application performance, security, and intelligence.
Lead the design and implementation of distributed microservices for low-latency data processing and high availability.
Build and optimize data pipelines capable of handling millions of records, ensuring the platform scales elastically in hybrid environments.
Leverage a sophisticated stack to build durable, stateful workflows to manage complex backend processes.
Design schemas and optimize queries across a polyglot persistence layer (OpenSearch, PostgreSQL, Redis, and Neo4j) to provide time sensitive insights to customers.
Act as a key technical leader by conducting deep-dive code reviews, driving engineering best practices, and mentoring junior engineers.