AI-Powered Cloud Software Engineer (Hybrid)

kcura

Illinois

Hybrid

USD 79,000 - 119,000

Full time

10 days ago
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Job summary

Relativity in the United States (Illinois) is seeking a Software Engineer to join the Enrichment team, building scalable, cloud-native data processing systems for vast datasets.

You will design distributed services, work across databases and processing layers, and contribute to testing and DevOps practices using Azure and serverless technologies.

This hybrid role offers opportunities to impact legal tech with AI and modern architectures, while growing ownership across cloud-based platforms.

Qualifications

  • Bachelor’s degree in Computer Science or related field.
  • Experience with object-oriented programming in C#, Java, or similar languages.
  • Experience building REST APIs.
  • Experience working on an agile software development team.
  • Knowledge of software engineering practices across the application stack.

Responsibilities

  • Design performant, scalable, and secure software with a strong focus on quality.
  • Collaborate with a software development team to deliver high-quality solutions that operate on data at massive scale.
  • Build and maintain distributed systems leveraging modern cloud and serverless technologies.
  • Develop comprehensive testing strategies, including unit and integration testing and static analysis.
  • Improve software development processes by recommending enhancements to tools, policies, and procedures.
  • Participate in pair programming to strengthen code quality and share knowledge across the team.

Skills

OOP (C#, Java)
REST APIs
Agile
Software practices
Cloud & serverless

Education

Bachelor’s Degree in CS

Tools

Azure DevOps
Azure Functions
Azure Service Bus
DDD
Event-Driven Architecture

Job description

Relativity in the United States (Illinois) is seeking a Software Engineer to join the Enrichment team, building scalable, cloud-native data processing systems for vast datasets.

You will design distributed services, work across databases and processing layers, and contribute to testing and DevOps practices using Azure and serverless technologies.

This hybrid role offers opportunities to impact legal tech with AI and modern architectures, while growing ownership across cloud-based platforms.

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