Staff Search Platform Engineer

Alphasense

8 - 13 years

25 - 30 Lacs

bengaluru

Posted:-1 days ago| Platform:

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Skills Required

training architecture equity research market intelligence infrastructure information retrieval performance optimization distribution system monitoring recruitment

Work Mode

Work from Office

Job Type

Full Time

Job Description

This role is perfect for a seasoned engineer who loves large-scale data challenges and has a track record of building robust, high-performance systems. While search experience is valuable, we believe great engineers can master new domains - what matters most is your ability to build systems that scale and dont break.

What Youll Do

Scale Distributed Systems
: Architect and optimize infrastructure handling billions of documents and hundreds of queries per second
Lead Platform Evolution
: Drive the migration from legacy systems to modern architecture, ensuring zero downtime and improved performance
Build Engineering Excellence
: Establish comprehensive monitoring, testing, and deployment practices that catch issues before customers do
Optimize Performance
: Profile and tune systems from the infrastructure to the application level, balancing cost and performance
Drive Technical Strategy
: Own the platform roadmap, making architectural decisions that will scale 10x
Mentor and Lead
: Elevate the teams expertise in distributed systems and large-scale data challenges

What Were Looking For

Required:

8+ years building and operating distributed systems in production
Experience with large-scale data platforms (billions of records) or high-throughput systems (100+ QPS)
Track record of improving system reliability and performance at scale
Deep expertise in distributed systems fundamentals: sharding, replication, consistency, partition tolerance
Strong performance optimization skills - you can profile, diagnose, and fix bottlenecks across the stack
Experience with data pipeline architecture, real-time processing, or database internals
Excellence in building observable systems with comprehensive monitoring and alerting
History of leading technical initiatives and mentoring engineering teams

Preferred:

Experience with search platforms (Vespa, Elasticsearch, Solr) or similar large-scale data systems
Deep knowledge of Kubernetes, CRDs, and infrastructure as code
Background in information retrieval, ranking systems, or recommendation engines
Familiarity with hybrid search approaches (lexical and vector)
Experience with JVM-based systems and tuning
Knowledge of modern engineering practices from high-growth companies

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