R&D Staff Software Engineer

BroadcomSan Diego, CA
3dOnsite

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. As a Staff Engineer, you will be architecting and building high-performance, cloud-scale analytics and security solutions. You will play a critical role in envisioning and delivering highly resilient, microservices-based solutions that process massive streams of telemetry for application performance, security, and intelligence.

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).
  • BS/MS in Computer Science or a related technical field.

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

  • Architectural Leadership: Lead the design and implementation of distributed microservices for low-latency data processing and high availability.
  • Scale & Performance: Build and optimize data pipelines capable of handling millions of records, ensuring the platform scales elastically in hybrid environments.
  • Tech Stack Orchestration: Leverage a sophisticated stack to build durable, stateful workflows to manage complex backend processes.
  • Data Strategy: Design schemas and optimize queries across a polyglot persistence layer (OpenSearch, PostgreSQL, Redis, and Neo4j) to provide time sensistive insights to customers.
  • Mentorship: Act as a key technical leader by conducting deep-dive code reviews, driving engineering best practices, and mentoring junior engineers.

Benefits

  • Medical, dental and vision plans
  • 401(K) participation including company matching
  • Employee Stock Purchase Program (ESPP)
  • Employee Assistance Program (EAP)
  • company paid holidays
  • paid sick leave and vacation time
  • The company follows all applicable laws for Paid Family Leave and other leaves of absence.
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