Senior Go Engineer — AI-Driven Data Systems (Remote)

Ladders

EUA

Teletrabalho

USD 185 000 - 255 000

Tempo integral

há 8 horas
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Vantagens oferecidas por esta oferta de emprego

Remote options
Professional development
AI tools access
Collaborative culture
Health benefits

Resumo da oferta

Ladders is seeking a Senior Software Engineer to join a leader in Enterprise Technology, focusing on query processing and analytics. You will design and optimize data systems powering historical querying for internal teams and customers, shaping a high-performance storage and ingestion architecture while applying distributed systems practices.

You will collaborate with peers to apply AI-informed approaches, ensure observability and data correctness, and lead architectural decisions, driving

Qualificações

  • 5+ years of experience building and operating production backend systems.
  • Strong proficiency in Go or a comparable language, with eagerness to work in Go.
  • Hands-on experience with data-intensive systems, including ingestion pipelines and analytical datastores.

Responsabilidades

  • Build AI-natively, integrating AI as a core part of problem-solving.
  • Shape and optimize the ClickHouse-based storage layer for performance and scalability.
  • Design and manage data ingestion pipelines from event streams and workflows.
  • Serve historical data efficiently to product teams and customers, minimizing bottlenecks.
  • Lead technical discussions and architectural decisions for complex data challenges.
  • Champion observability using tools like Honeycomb and Datadog to ensure data correctness and performance.
  • Drive rapid progress on ambiguous data problems from design to production.

Conhecimentos

Go
Distributed systems
Data ingestion
Mentoring

Ferramentas

ClickHouse
Honeycomb
Datadog

Descrição da oferta de emprego

Ladders is seeking a Senior Software Engineer to join a leader in Enterprise Technology, focusing on query processing and analytics. You will design and optimize data systems powering historical querying for internal teams and customers, shaping a high-performance storage and ingestion architecture while applying distributed systems practices.

You will collaborate with peers to apply AI-informed approaches, ensure observability and data correctness, and lead architectural decisions, driving

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