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AlphaSense

Senior Software Engineer

AlphaSense

. Architect and optimize infrastructure handling billions of documents and hundreds of queries per second .

Posted 10/9/2026full-timeRemote • IndiaSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in architecting and optimizing large-scale distributed systems, with a focus on performance optimization, monitoring, and proactive engineering practices. Proficient in modern search technologies and data pipeline architecture to enhance information retrieval and system scalability.

Highest-signal resume keywords
Distributed Systems ArchitecturePerformance OptimizationData Pipeline ArchitectureSearch Platforms (Vespa, Elasticsearch, Solr)Kubernetes and Infrastructure as Code

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Distributed Systems FundamentalsShardingReplicationConsistencyPartition ToleranceProfiling and Diagnosing BottlenecksReal-Time ProcessingObservable SystemsHybrid Search ApproachesJVM-Based Systems Tuning
Tools & Technologies
KubernetesCRDsInfrastructure as CodeMonitoring and Alerting Tools
Industry Keywords
Information RetrievalRanking SystemsRecommendation EnginesHigh-Throughput SystemsLarge-Scale Data Platforms

Tech Stack

Tools & technologies
Distributed SystemsElasticSearchKubernetes

About the role

Key responsibilities & impact
  • Architect and optimize infrastructure handling billions of documents and hundreds of queries per second
  • Drive migration from legacy systems to modern architecture, ensuring zero downtime and improved performance
  • Establish comprehensive monitoring, testing, and deployment practices that catch issues before customers do
  • Profile and tune systems from the infrastructure to the application level, balancing cost and performance
  • Own a critical search platform impacting how customers discover insights
  • Build the next generation of information retrieval at scale using modern technologies including hybrid lexical/vector search
  • Transform search infrastructure from reactive to proactive, reduce latency, complete a major platform migration, and build systems that scale with company growth
  • Establish engineering practices that prevent customer issues

Requirements

What you’ll need
  • 5+ years building and operating distributed systems in production
  • Experience with large-scale data platforms or high-throughput systems
  • Expertise in distributed systems fundamentals: sharding, replication, consistency, partition tolerance
  • Strong performance optimization skills, including profiling, diagnosing, and fixing 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
  • Preferred: Experience with search platforms (Vespa, Elasticsearch, Solr) or similar large-scale data systems
  • Preferred: Experience with Kubernetes, CRDs, and infrastructure as code
  • Preferred: Background in information retrieval, ranking systems, or recommendation engines
  • Preferred: Familiarity with hybrid search approaches (lexical and vector)
  • Preferred: Experience with JVM-based systems and tuning
  • Preferred: Knowledge of modern engineering practices from high-growth companies

Benefits

Comp & perks
  • Equal-opportunity employment commitment
  • Reasonable accommodation for qualified employees with protected disabilities, as required by applicable laws
  • AlphaSense never asks candidates to pay for job applications, equipment, or training