Senior Platform Engineer - High-Performance Search (Remote)

Openkrill; United States; Remote; USD 150,000 - 190,000; Full time

Job summary

AlphaSense seeks an experienced Senior Platform Engineer to own the search platform powering market intelligence across billions of documents. You will build scalable distributed systems, drive migration to modern architectures, and establish robust monitoring and deployment practices for enterprise reliability.

Ideal candidates will have 5+ years in distributed systems, experience with large-scale data platforms, and strong performance optimization skills.

Qualifications

• 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 across the stack.
• Experience with data pipelines, real-time processing, or database internals.
• Excellence in building observable systems with comprehensive monitoring and alerting.

Responsibilities

• 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.

Skills

Distributed systems

High-throughput

Performance optimization

Observability

Data pipelines

Real-time processing

Tools

Vespa

Elasticsearch

Solr

Kubernetes

CRDs

Infrastructure as Code

Job description

AlphaSense seeks an experienced Senior Platform Engineer to own the search platform powering market intelligence across billions of documents. You will build scalable distributed systems, drive migration to modern architectures, and establish robust monitoring and deployment practices for enterprise reliability.

Ideal candidates will have 5+ years in distributed systems, experience with large-scale data platforms, and strong performance optimization skills.