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R&D Software Engineer

Job in California, Moniteau County, Missouri, 65018, USA
Listing for: Broadcom Inc.
Full Time position
Listed on 2026-02-16
Job specializations:
  • Software Development
    Software Engineer, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: R&D Staff Software Engineer
Location: California

*
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**** 2. If you already have a Candidate Account, please Sign-In before you apply.**##
*
* Job Description:

** 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.##
**** Key Responsibilities
**** 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.
* 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 (Open Search, Postgre

SQL, 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.##
**** Required Skills & Experience****###
**** Professional Experience
***** 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.###
**** Programming Proficiency
***** 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.###
**** Cloud-Native Architecture & API Design
***** 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:
Open Search/Elasticsearch, Postgre

SQL, Redis, or Neo4j (or their equivalents).###
**** Desired

Skills & Qualifications
***** 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, Num Py, and Scikit-Learn.
* Orchestration:
Working knowledge of Kubernetes and experience with Temporal (or similar workflow engines like Cadence) for managing distributed transactions.

* Education:

BS/MS in Computer Science or a related technical field.
** Additional

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