Staff Engineer

3 Hours ago • 15 Years +

Job Summary

Job Description

The Staff Engineer will lead complex analytics initiatives, focusing on big data, AI/ML, distributed systems, and high-performance computing. Responsibilities include architecting and designing scalable data analytics platforms, developing and optimizing services using GoLang, C++, and Python for ingesting and analyzing data, implementing data pipelines with SQL/NoSQL databases, building search and indexing systems using OpenSearch or Lucene, designing data modeling practices, and collaborating with ML engineers to deploy AI/ML models. This role requires a deep understanding of data engineering principles and a strong background in networking or cloud infrastructure.
Must have:
  • 15+ years of experience in software/data engineering.
  • Expertise in GoLang, C++, and Python.
  • Deep understanding of SQL and NoSQL databases.
  • Strong hands-on experience with search technologies such as OpenSearch, Lucene.
  • Proven experience with data modeling, pipeline optimization, and data architecture.
  • Solid foundation in AI/ML concepts.
Good to have:
  • A strong background in networking; with proven experience in building high performance networking appliances
  • Experience in telemetry, network data analytics, or observability systems.
  • Familiarity with Kubernetes, Kafka, Spark, or similar distributed systems technologies.

Job Details

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Job Description:

About Us

Join the Avi Application Load Balancer Analytics team which plays a critical role in driving insights, performance optimization, and intelligent automation across our platforms. Beyond our daily responsibilities, our team has a proven history of innovation, with an impressive portfolio of multiple patents. We encourage and support each other in exploring new ideas and turning them into deployable solutions, fostering a culture of creativity and intellectual curiosity.

We’re looking for a seasoned Staff Engineer to lead complex analytics initiatives that intersect big data, AI/ML, distributed systems, and high-performance computing.

This is an on-site position in Bangalore, India, where you will be part of a larger cross-border team of smart and motivated engineers located both in Bangalore, India and Palo Alto, USA while enjoying the autonomy and support to express yourself creatively and deliver at your best.

What You’ll Do

  • Architect and lead the design of scalable, high-performance data analytics platforms and systems.
  • Develop and optimize services using GoLang, C++, and Python for ingesting, processing, and analyzing massive volumes of telemetry and network data.
  • Implement data pipelines and analytics workflows across SQL/NoSQL databases (e.g., PostgreSQL, TimescaleDB, Redis, etc.).
  • Build and manage search and indexing systems using OpenSearch or Lucene, ensuring low-latency querying and efficient data retrieval.
  • Design and enforce strong data modeling practices across structured and unstructured data sources.
  • Collaborate closely with ML engineers to deploy AI/ML models for predictive analytics, anomaly detection, and intelligent insights.


Must have -

  • 15+ years of experience in software/data engineering, preferably within large-scale networking, cloud infrastructure, or data platforms.
  • Expertise in GoLang, C++, and Python — with production-level experience in performance-critical systems.
  • Deep understanding of SQL and NoSQL databases, their tradeoffs, scaling strategies, and schema design.
  • Strong hands-on experience with search technologies such as OpenSearch, Lucene, or Elasticsearch.
  • Proven experience with data modeling, pipeline optimization, and data architecture.
  • Solid foundation in AI/ML concepts with applied experience in deploying models into production analytics systems.
  • Strong communication and leadership skills with a passion for mentorship and technical excellence.


Nice to Have -

  • A strong background in networking; with proven experience in building high performance networking appliances 
  • Experience in telemetry, network data analytics, or observability systems.
  • Familiarity with Kubernetes, Kafka, Spark, or similar distributed systems technologies.

Broadcom is proud to be an equal opportunity employer.  We will consider qualified applicants without regard to race, color, creed, religion, sex, sexual orientation, national origin, citizenship, disability status, medical condition, pregnancy, protected veteran status or any other characteristic protected by federal, state, or local law.  We will also consider qualified applicants with arrest and conviction records consistent with local law.

If you are located outside USA, please be sure to fill out a home address as this will be used for future correspondence.

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About The Company

A global infrastructure technology leader built on more than 60 years of innovation, collaboration and engineering excellence.

 

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