Jobs at Onit

Design and build production-grade data pipelines, services, APIs, and data models powering analytics and AI features. Optimize performance and scalability, implement data validation, monitoring, security, and multi-tenancy, and lead troubleshooting. Establish technical approaches, participate in reviews and CI/CD, collaborate across product and data teams, and mentor engineers.

Develop and launch modules, APIs, and product features for Onit’s legal technology platform. Work across backend and frontend development using Ruby on Rails, React, JavaScript, and PostgreSQL; collaborate with designers and project managers; estimate tasks; automate testing; and contribute within an Agile, AWS-based development environment. The role emphasizes backend expertise with growth toward full-stack development and mentoring junior developers and QA resources.

Build and maintain data pipelines, backend services, and APIs supporting analytics and AI features. Develop SQL queries, data models, validation checks, automated tests, and production-grade code. Troubleshoot data and application issues, participate in Agile ceremonies and code reviews, document solutions, and collaborate with senior engineers, architects, product managers, data scientists, and QA.

Own the statistical methodology for a customer-facing benchmarking product. Build comparability models, establish defensibility thresholds, improve data quality, resolve entities, assess external data, and define privacy-conscious governance for anonymized cross-customer analytics. Partner with Product, Engineering, and Data Architecture while communicating uncertainty clearly to nontechnical stakeholders.

Own the architecture of a multi-tenant, data-intensive analytics capability within an enterprise SaaS platform. Select the analytical data platform, design canonical data models, define API contracts, establish performance and availability requirements, and enforce tenant isolation. The role includes hands-on query and performance engineering, architecture decision records, design and code reviews, and translating technical constraints across Product, Design, and Engineering.

Provides frontline technical support for Onit’s SaaS legal operations products through phone, email, and online channels. Responsibilities include troubleshooting, educating users, maintaining product expertise, sharing product feedback, supporting implementations, and owning projects through completion. Requires technical support or software implementation experience, programming fundamentals, strong communication, documentation proficiency, and the ability to manage multiple priorities.

Own and evolve the enterprise modern endpoint environment across Windows and macOS. Design and administer Intune, Windows Autopilot, Entra ID, Conditional Access, application deployment, patching, compliance, endpoint security, and device lifecycle management. Build PowerShell and Graph automations, resolve complex L3 issues, manage endpoint projects through rollout and handoff, strengthen macOS capabilities, document processes, and mentor IT staff.

Owns and advances Microsoft Purview data protection and AI governance across Microsoft 365 and endpoints. Responsibilities include designing and tuning DLP policies, sensitivity labels, retention and eDiscovery controls; assessing SharePoint, OneDrive and Teams exposure; supporting Copilot and generative AI readiness; governing Shadow AI; automating operations with PowerShell and Microsoft Graph; troubleshooting complex L3 issues; and leading data-security projects, documentation and knowledge transfer.

Design and ship production-grade agentic AI systems, including tool-using agents, multi-agent workflows, RAG, context engineering, evaluation frameworks, observability, safety controls, and backend integrations. Partner with product and domain experts to turn ambiguous problems into reliable AI experiences. Own experimentation, regression testing, cost and latency monitoring, failure handling, governance, and safe deployment of AI capabilities.

Designs and executes UI performance, API, and end-to-end automated tests using Playwright or Selenium, Artillery, JavaScript or Java, SQL, and CI/CD pipelines. Analyzes test results, debugs failures, performs root cause analysis, validates data, and collaborates with development and product teams to improve quality. The role also tests AI-driven features and uses AI coding tools. Preferred experience includes cloud technologies, Datadog, Jenkins, Allure, Docker, and permission testing.

Lead hands-on quality engineering for analytics, dashboards, KPIs, ETL/ELT pipelines, APIs, and application functionality. Validate data across source systems, transformations, warehouses, and reporting layers using complex SQL queries. Build test automation, integrate quality checks into CI/CD, troubleshoot discrepancies, perform root-cause analysis, and mentor Quality Engineers. Daily use of AI-assisted engineering tools such as Cursor or Claude is mandatory.

The Senior Product Designer will create intuitive experiences for complex enterprise and AI-driven workflows. Responsibilities include owning product design from discovery through execution, collaborating with product, engineering, research, and stakeholders, evolving design systems, applying accessibility best practices, prototyping solutions, and communicating design rationale. The role requires strong interaction design, systems thinking, experience with data-dense interfaces, and proficiency with modern design and prototyping tools.