Senior Software Engineer

Posted Oct 9

This is a fully remote position, open to applicants in India.

πŸ“‹ Description

β€’ Design and enhance infrastructure capable of managing billions of documents and processing hundreds of queries every second.

β€’ Lead the transition from legacy systems to contemporary architecture, guaranteeing no downtime and enhanced performance.

β€’ Develop thorough monitoring, testing, and deployment procedures that identify issues before they reach customers.

β€’ Analyze and optimize systems from the infrastructure level to the application level, achieving a balance between cost and performance.

β€’ Take ownership of a vital search platform that influences how customers uncover insights.

β€’ Create the next generation of scalable information retrieval utilizing modern technologies, including hybrid lexical/vector search.

β€’ Shift search infrastructure from a reactive stance to a proactive one, minimizing latency, completing a significant platform migration, and constructing systems that grow alongside the company.

β€’ Implement engineering standards that avert customer-related issues.


⛳️ Requirements

β€’ Over 5 years of experience in building and managing distributed systems in a production environment.

β€’ Proficiency in large-scale data platforms or high-throughput systems.

β€’ In-depth knowledge of distributed systems principles: sharding, replication, consistency, and partition tolerance.

β€’ Strong skills in performance optimization, including profiling, diagnosing, and resolving bottlenecks throughout the stack.

β€’ Experience with data pipeline architecture, real-time processing, or database internals.

β€’ Excellence in creating observable systems with extensive monitoring and alerting capabilities.

β€’ Preferred: Familiarity with search platforms (Vespa, Elasticsearch, Solr) or comparable large-scale data systems.

β€’ Preferred: Experience with Kubernetes, CRDs, and infrastructure as code practices.

β€’ Preferred: Background in information retrieval, ranking systems, or recommendation engines.

β€’ Preferred: Understanding of hybrid search methodologies (lexical and vector).

β€’ Preferred: Experience with JVM-based systems and performance tuning.

β€’ Preferred: Knowledge of modern engineering practices from rapidly growing companies.


🏝️ Benefits

β€’ Commitment to equal-opportunity employment.

β€’ Reasonable accommodations for qualified employees with protected disabilities, as mandated by applicable laws.

β€’ AlphaSense does not require candidates to pay for job applications, equipment, or training.

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