---
title: 'Lead Quality Assurance Engineer at Onit, Inc.'
canonical: 'https://feeny.ai/job/lead-quality-assurance-engineer-onit-inc-pune-j5jptra80j9r'
type: 'job'
last_seen: '2026-10-16'
---

# Lead Quality Assurance Engineer at Onit, Inc.

- **Company:** Onit, Inc.
- **Location:** Pune, India
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-10-07
- **Last confirmed live:** 2026-10-16
- **Apply:** https://jobs.lever.co/onit/750c4936-2a47-43b4-8acf-00817e4e057d

## Job description

## About Onit

We're redefining the future of legal operations through the power of AI. Our cutting-edge platform streamlines enterprise legal management, matter management, spend management and contract lifecycle processes, transforming manual workflows into intelligent, automated solutions.

We’re a team of innovators using AI at the core to help legal departments become faster, smarter, and more strategic. As we continue to grow and expand the capabilities of our new AI-centric platform, we’re looking for bold thinkers and builders who are excited to shape the next chapter of legal tech. If you're energized by meaningful work, love solving complex problems, and want to help modernize how legal teams operate, we’d love to meet you.

## Key Responsibilities

Analytics Testing

- Perform hands-on testing of Tableau Superset dashboards, reports, and analytics capabilities.
- Validate dashboard data against underlying databases, data warehouses, and source systems.
- Validate Tableau Superset filters, parameters, calculated fields, dimensions, measures, aggregations, and drill-down functionality.
- Verify that reports accurately represent underlying business data and reporting requirements.
- Validate dashboards across different datasets and business scenarios.
- Identify and troubleshoot discrepancies between Tableau Superset reports and underlying data.

KPI & Data Validation

- Understand business KPIs, metrics, calculations, and reporting definitions.
- Independently translate KPI definitions and business rules into SQL validation queries.
- Write complex SQL queries to validate metrics displayed in reports and dashboards.
- Validate calculations including counts, sums, averages, percentages, ratios, trends, and period-over-period metrics.
- Perform data reconciliation between source systems, data warehouses, and reporting layers.
- Validate data for accuracy, completeness, consistency, uniqueness, and integrity.
- Work closely with Product and Analytics teams to ensure KPI definitions and acceptance criteria are clear, measurable, and testable.

ETL / ELT & Data Pipeline Validation

- Perform end-to-end ETL/ELT testing and data validation.
- Validate data across source → staging → transformation → warehouse → reporting layers.
- Validate source-to-target mappings and transformation/business rules.
- Verify full loads, incremental loads, historical data loads, and data refresh processes.
- Validate handling of null values, duplicates, missing records, incorrect mappings, and data-type issues.
- Perform reconciliation of large datasets across different stages of the data pipeline.
- Troubleshoot data discrepancies and identify the stage at which data quality issues are introduced.
- Validate data pipeline failure, retry, and recovery scenarios.

Test Automation & Quality Engineering

- Design and implement comprehensive test strategies for analytics, reporting, data pipelines, APIs, and application functionality.
- Develop and maintain automated tests for data validation, API testing, and regression testing.
- Automate repetitive SQL and data-validation scenarios.
- Build reusable automation frameworks and quality-validation utilities.
- Integrate automated tests and quality checks into CI/CD pipelines.
- Continuously improve regression coverage and reduce dependency on manual testing.
- Perform root-cause analysis for production and customer-reported issues.
- Drive a quality engineering and defect-prevention mindset throughout the development lifecycle.

AI-Assisted Quality Engineering

- Use AI-assisted engineering tools as part of day-to-day work.
- Leverage AI to accelerate:
- Test-case and test-scenario creation
- Automation script development
- API test creation
- Test-data generation
- Log analysis and troubleshooting
- Identify opportunities to introduce AI-driven automation into existing Quality Engineering processes.
- Continuously evaluate new AI tools and techniques that can improve quality, test coverage, and engineering productivity.

Benefits & Perks That Support You: Onit offers a comprehensive total rewards package designed to support the whole employee at work and beyond: Health Coverage: Employee and immediate family members. Time Away: Flexible paid time off and 10 company paid holidays annually. Family Support: Exceptional paid leave for birth parents, non-birth parents, and caregivers.  Onit also offers surrogacy and adoption reimbursement. Income Protection: 100% employer-paid life and disability insurance. Additional Coverage Options: Voluntary benefits including hospital indemnity, critical illness, accident. Tax-Advantaged Accounts: Flexi, NPS. Community Engagement: One paid volunteer day each year to give back to the community.

Our Commitment to Applicants We know that not everyone will check every box in a job description. At Onit, we value diversity, inclusion, and authenticity. If you’re excited about this role but your experience doesn’t align perfectly with every qualification, we encourage you to apply. You may be exactly who we’re looking for.

Onit Values Customer First - Customer success is our success. We deliver value, listen, and act on customer needs. Purposeful Innovation - Innovation fuels our growth. We harness creativity to solve problems and lead with the intentions and expertise. Win as One - Teamwork is how we win. We are accountable, act with integrity, and communicate openly. Intentional Growth - Our people are the difference. We create an environment with compelling work, impactful contributions, and career growth.

## About Onit, Inc.

## Company Overview
- **One-liner**: Onit is an AI-native legal operations platform that helps legal and compliance teams manage workflows, contracts, matters, and spend.
- **Entity Type**: Private (late‑stage; $216.6M total funding over 11 rounds)
- **Headquarters**: Atlanta, Georgia, United States
- **Founded**: 2009 (company site) – some sources list 2011 (LinkedIn); conflicting reports exist.
- **Founders**: Not publicly disclosed

## Core Business
- **Primary Industry**: Legal technology (legal operations software)
- **Target Customers**: B2B, primarily legal and compliance departments in enterprise, Fortune 500, and high‑growth companies
- **Mission / Purpose**: To give legal teams the freedom, flexibility, and technology to run their departments on their own terms, transforming legal business processes with purpose‑built, AI‑native solutions.

## Products & Services
- **Enterprise Legal Management (ELM)**: Full‑lifecycle matter, spend, and vendor management – SaaS platform
- **Contract Lifecycle Management (CLM)**: AI‑powered contract creation, review, negotiation, and storage
- **Intake & Workfloow Automation**: Configurable service‑request portals and approval chains
- **AI Agents & Assistant**: Generative‑AI tools that automate contract redlining, clause policy checks, and answers from corporate policies

All products are unified under a single, adaptable framework.

## Market Standing
- **Valuation / Market Cap**: Not publicly disclosed
- **Key Metric**: Annual revenue ~$78.3M (LinkedIn estimate) – note: this is a third‑party estimate, not official.
- **Total Funding**: $216.6M (11 rounds; latest round not specified)
- **Notable Investors / Partners**: Not disclosed in available sources (investor names not found)
- **Growth Signals**: 3,000+ customers worldwide; 389 employees (+13.3% YoY); LinkedIn followers 63,694 (+50.3% YoY); multiple acquisitions; rapid scaling of AI‑native products.

## Competitive Advantages
- **AI‑native Architecture**: Built from the ground up to leverage AI, not bolted‑on.
- **Domain Expertise**: Created by legal professionals for legal teams – deep understanding of legal workfloows.
- **Configurability**: Highly adaptable platform that allows legal departments to shape the software to their processes.
- **Scale & Trust**: Trusted by over 3,000 customers including Fortune 500 enterprises – demonstrated retention and market penetration.

## Strategic Focus
- **AI‑First Innovation**: Continuing to embed AI agents and generative capabilities across the platform.
- **Acquisitions**: Using M&A to broaden product portfolio and accelerate growth.
- **Global Expansion**: Growing presence in key regions (New Zealand, Ukaine, Uk, India) while maintaining a remote‑first culture.
- **Customer Success**: Deepening relationships and driving value through automation and insights.

## Why Work Here
- **Culture Highlights**: Recognized as a *Most Loved Workplace*; values include Customers First, Purposeful Innovation, Win as One, and Intentional Growth.
- **Remote / Hybrid**: Remote work is embraced, monitored by performance not micro‑management. Office hubs in Atlanta, Pune, New Zealand, Ukaine, and United Kingdom.
- **Benefits**:
  - 24‑wekks paid leave for all new parents (adoption/surrogacy included) from Day 1
  - Company‑wide bonus plans (minimum 6% for all levels)
  - Quarterly performance reviews focused on growth dialogue
  - Multiple internal collaboration platforms (AwardCo, The Wave, intranet, townhalls, AMAs)
- **Engineering Culture**: Emphasis on modern tech stack (Microsoft‑centric, Python, Ruby on Rails), AI engineering roles visible – Senior AI Engineer, Lead Software Engineer – Python, AI Engineer, Senior Software Engineer – RoR.

## Sources
1. [onit.com/careers](https://www.onit.com/careers/); culture, benefits, and values  
2. [onit.com/about](https://www.onit.com/about-onit/); company overview, history, mission, products  
3. [linkedin.com/company/onit](https://www.linkedin.com/company/onit/); employee count, revenue estimate, founding year, funding  
4. [mostlovedworkplace.com/companies/onit](https://mostlovedworkplace.com/companies/onit/); benefits, remote policy, values, awards  
5. [onit.com/leadership](https://www.onit.com/leadership/); leadership mention (Farlekas)

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