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Sobre esta vaga de Software Engineer na Relativity

Relativity · Presencial · Illinois

Posting Type

Hybrid

Job Overview

WHAT YOU'LL DO
Design, develop, and operate cloud-based services that enable organizations to manage and process data at scale across multiple platforms. Build full-stack features across .NET/C# backend services, React/JavaScript frontends, and SQL data layers to support core product workflows. Build and maintain integrations with external systems and internal platform services, including third-party cloud data sources, notification providers, and cross-team APIs. Apply cloud-native patterns, including containerization, event-driven architecture, and infrastructure-as-code, to deliver scalable and resilient services on Azure. Manage and troubleshoot CI/CD pipelines (Azure DevOps, GitHub Actions) and drive independent deployments across team-owned services. Use observability tooling, including structured logging, metrics dashboards, and distributed tracing, to investigate production issues and advocate for system improvements. Triage and remediate security vulnerabilities as part of the team's ongoing security posture work. Participate in on-call rotations, contribute to incident response, and complete follow-up work to drive continuous improvement. Collaborate cross-functionally with engineers, product managers, and adjacent teams to deliver committed sprint work on a regular cadence.

Job Description and Requirements

WHAT WE'RE LOOKING FOR


Required

  • Bachelor's degree or equivalent practical experience.
  • Proficiency in C# and .NET, or a comparable object-oriented language with a willingness to ramp onto the stack.
  • Experience building software services, ideally cloud-based.
  • Ability to work through well-defined features and debug issues with support from senior team members.
  • Familiarity with relational databases and SQL.

Preferred

  • Experience with JavaScript/TypeScript and React for full-stack development.
  • Working knowledge of CI/CD pipeline tooling (Azure DevOps, GitHub Actions, or similar).
  • Familiarity with observability platforms such as New Relic, Splunk, or equivalent APM/logging tools.
  • Exposure to authentication patterns (OAuth 2.0, OIDC, or SAML) in enterprise SaaS applications.
  • Experience building or maintaining integrations with third-party APIs or enterprise SaaS systems.
  • Familiarity with cloud-native concepts such as containerization, event-driven design, or infrastructure-as-code (Azure preferred).

Relativity is committed to competitive, fair, and equitable compensation practices.

This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.

The expected salary range for this role is between following values:

$79,000 and $119,000

The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. 

Required Skills:

Automation, Documentations, Engineering Design, Problem Solving, Process Improvements, Project Management, Quality Assurance (QA), Research and Development, System Integration, Troubleshooting
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Como este salário de Software Engineer se compara

Esta vaga paga $99,000/yr — abaixo da faixa típica para vagas de Software Engineer.

$106,838 a mediana $159,750 $225,000

Faixa típica $136,125–$200,000/yr, com base em 284 vagas de Software Engineer comparáveis na JobsRadar (pagamento anualizado em USD). Ver insights salariais de Software Engineer →

Sobre a Relativity

We’re solving big data challenges in the legal tech industry, and we’re always looking for more people to join us on the journey. At Relativity, you'll learn cross-functional skills to grow your career and have the chance to make a big impact on our customers, our industry, and our communities. We admire and value our employees, so it’s no surprise that our hiring process is designed to help us really get to know you – and for you to get to know us, too.

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