Description

You will architect and build the core infrastructure supporting the company's AI systems, focusing on distributed systems, observability, and performance optimization.

This role is on-site.

Responsibilities

• Architect and build core infrastructure including distributed key-value stores, schema-less data stores, and event streaming pipelines.
• Enhance system observability and reliability by implementing distributed logging, tracing, monitoring, and alerting tools.
• Define performance metrics for microservices and product functionalities to identify and resolve bottlenecks.
• Collaborate with ML, search, data, and frontend teams to define infrastructure needs and influence the technical roadmap.
• Deliver deadline-sensitive work requiring close interdependence with other engineering teams.

Required Skills

• 5+ years of experience designing, building, shipping, and maintaining backend distributed systems.
• Proficiency in at least one of the following: Python, Golang, Java, or C++.
• Experience with containerization using Docker.
• Familiarity with cloud infrastructure providers such as AWS, GCP, or Azure.
• Operational experience with open source technologies like Kafka and Elasticsearch.
• Proven ability to solve complex problems related to performance, optimization, scalability, and latency.
• Degree in Computer Science or a related field.

Key Skills

Education

Any Graduate