Staff Engineer

Job Description

Please Note: 1. If you are a first time user, please create your candidate login account before you apply for a job. (Click Sign In > Create Account) 2. If you already have a Candidate Account, please Sign-In before you apply. 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.