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Platform Backend Engineer

hackajob

Salary not specified
Nov 9, 2025
Remote, US
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Leo Technologies is looking to hire a Backend Engineer (Application) to architect, build, and maintain mission-critical backend services that enable users to gain actionable insights from their unique dataset(s). The role involves creating new solutions for a growing product, addressing challenges like search/data-mining and multi-tenancy.

Requirements

  • At least 6+ years of back-end development experience, with a solid understanding of data structures, distributed systems and system design.
  • A good understanding of system design and running server-less workloads at scale is essential for this role.
  • Proficiency with programming languages such as Elixir, Java, C++, Go or similar languages.
  • Experience with PostgreSQL, ElasticSearch and KV stores.
  • Proficiency working with AWS Serverless workflows like Lambdas, Step-Functions etc.
  • Experience with streaming technologies with working knowledge of frameworks like Kafka, Kinesis or similar technologies.

Responsibilities

  • architecting, building and maintaining our mission-critical backend services that allows our users to gain actionable insight from our unique dataset(s).
  • creating new solutions as our product grows.
  • working on solving multi-tenancy challenges when saving and serving customer data.
  • participate in all stages of the product development and deployment lifecycle.
  • idea generation, planning, design, prototyping, execution, shipping and iteration.

Other

  • Strong engineering background in fields such as Computer Science, Software Engineering and Mathematics.
  • Good understanding of how technical decisions impact the people who will use what you're building.
  • Experience with different Agile methodologies and familiarity with JIRA and Confluence.
  • Skill and comfort working in a fast-paced environment with dynamic objectives and quick iterations.
  • Demonstrated ability to learn continuously, work independently, and make decisions with minimal supervision.