---
title: 'Senior SDET at Verantos'
canonical: 'https://feeny.ai/job/senior-sdet-verantos-pune-1tp2p22xn58a'
type: 'job'
last_seen: '2026-09-08'
---

# Senior SDET at Verantos

- **Company:** Verantos
- **Location:** Pune, India
- **Posted:** 2026-09-07
- **Last confirmed live:** 2026-09-08
- **Apply:** https://job-boards.greenhouse.io/verantos/jobs/6174470004

## Job description

## Overview

Verantos ([https://verantos.com](https://verantos.com/)) is the market leader in high-accuracy real-world evidence (RWE) generation. The Verantos RWE platform integrates heterogeneous real-world data sources and generates evidence with the accuracy necessary for regulatory and reimbursement use. The platform leverages data science and artificial intelligence, along with advanced data sources such as electronic health records (EHR), to generate RWE capable of supporting complex clinical studies. Some of the largest biopharma companies in the world are Verantos customers.

We use a heterogeneous AWS-centric tech stack with data processing, AI, workflows, and analytics. Our teams are cross-functional and collaborative, bringing together engineering, product, design, QA, and clinical domain experts to deliver meaningful, real-world impact.

This position is open only to candidates currently based in Pune.

Description

We're looking for a Senior SDET to own end-to-end quality for assigned product features across web apps and backend APIs, with a strong focus on evaluating AI/LLM-powered workflows. You'll build CI-gated automation and evaluation harnesses — covering UI, API, and non-deterministic AI agent behavior — set testing standards for the team, and drive a shift-left quality culture with engineering and product teams.

## Responsibilities

- Design and maintain Python-based test automation frameworks for UI (Playwright) and REST APIs — reusable, scalable, and maintainable across the team's test suites
- Build automated evaluation suites for AI/LLM-powered features — tracking output correctness, hallucination rate, and regression across model/prompt versions — using tools such as Langfuse, Ragas, or equivalent
- Collaborate with engineering leads to define and integrate CI/CD quality checks in GitHub Actions — wiring test suites and evaluation runs into the pipeline and agreeing on pre-merge gates that block on failed tests, evaluation-score thresholds, or schema-compatibility issues
- Set testing standards and best practices for automation and AI evaluation, and mentor other SDETs on the team
- Contribute to acceptance criteria and flag quality risks early, working with cross-timezone engineering and product stakeholders
- Execute release verification for assigned features — feature-flag checks, smoke tests, and rollback validation

## Qualifications

- 5+ years as an SDET with end-to-end quality ownership across web apps, backend APIs, and release processes
- Strong Python skills for test automation, API testing, and Pytest; hands-on experience with Playwright
- Experience evaluating AI/LLM-powered features — familiarity with metrics such as hallucination rate, output correctness, or LLM-as-judge approaches, and hands-on experience with at least one evaluation/tracing tool (e.g., Langfuse, Ragas)
- Experience integrating quality checks into CI/CD pipelines in GitHub Actions (or equivalent) — writing and maintaining pre-merge checks, test/quality gates, and pipeline configuration
- Track record of setting testing standards or mentoring other engineers/SDETs
- Strong communication skills; comfortable working across time zones
- Bachelor's in CS, Engineering, or equivalent experience

## Nice to Have

- SQL proficiency and experience validating ETL/batch transforms in Snowflake, Athena, or equivalent; familiarity with idempotency and failure recovery
- Experience testing access control and data security in multi-tenant systems (RBAC, dataset-level permissions); exposure to compliance frameworks such as HIPAA, SOC 2, or HITRUST
- Working knowledge of AWS (S3, ECS, CloudWatch) and tracing/logging tools
- Experience conducting performance, load, or stress testing (k6, JMeter)
- Familiarity with healthcare data infrastructure, the OMOP Common Data Model (CDM), or clinical vocabularies

Why Verantos?

Work at the intersection of cutting-edge tech, complex data, and healthcare research — where your quality engineering directly shapes research-grade evidence.

## We Offer

Competitive salary

Comprehensive medical benefits and work-life balance

Collaboration with healthcare technology visionaries

## About Verantos

## Company Overview
- **One-liner**: Verantos generates high-validity real-world evidence (RWE) for life sciences by combining AI-driven analysis of clinical narratives with linked administrative data.
- **Entity Type**: Private (early-stage, grant-funded)
- **Headquarters**: Menlo Park, California, United States
- **Founded**: 2015
- **Founders**: Not publicly disclosed

## Core Business
- **Primary industry**: Healthcare IT / Real-World Evidence (RWE) for life sciences
- **Target customers**: B2B – top-10 life sciences firms, regulatory agencies (FDA), health systems
- **Mission or purpose**: To make possible what seemed impossible—generating high-validity real-world evidence at scale that enables regulatory and reimbursement approvals.

## Products & Services
- **[Pragmatic Registry](https://verantos.com)**: Disease-specific registry of subjects generated from routinely collected real-world data. Provides clinically rich, high-reliability data in standardized OMOP CDM format, ready for research-grade evidence generation. (SaaS / Data product)
- **[High-Validity RWE Platform](https://verantos.com)**: Integrates heterogeneous real-world data sources (EHR clinical narratives, claims) and uses AI to produce evidence for clinical development, market access, medical affairs, pharmacovigilance, and regulatory initiatives. (SaaS Platform)

## Market Standing
- **Valuation / Market Cap**: Not disclosed
- **Key Metric**: Annual Revenue ~$6.7M (latest estimate) and Total Funding ~$1.4M (all grants from NSF, NIH)
- **Notable Investors / Partners**: National Science Foundation (NSF), National Institutes of Health (NIH), National Center for Advancing Translational Sciences (NCATS). Partners: Amgen, FDA, CuriMeta.
- **Growth Signals**: 61 employees (+24.2% YoY); ranked #319 on Deloitte Technology Fast 500 (2024); named to Inc. 5000 for four consecutive years; launched Alzheimer’s Disease, Inflammatory Bowel Disease, and NASH Pragmatic Registries in 2024-2025; recognized in top 25 Healthcare AI Companies of 2025.

## Competitive Advantages
- **High-validity at scale**: Only RWE firm able to achieve measured high validity (accuracy, completeness, traceability) across large populations – manual curation cannot scale beyond ~100 patients.
- **Clinically rich data**: AI extracts variables from the full patient record (including narrative unstructured data) that are rarely or never coded in structured fields.
- **Scientific validation**: Science peer-reviewed and funded by NIH, NSF, and FDA; selected as an FDA-demonstration project for data quality guidance.
- **Network of US health systems**: Direct relationships with academic medical centers and community health systems, providing generalizability and external validity.

## Strategic Focus
- **Current priorities**: Expanding Pragmatic Registries across therapeutic areas (Alzheimer’s, IBD, NASH, etc.) and deepening partnerships with top-10 life sciences firms. Continue to drive regulatory and market-access adoption of high-validity RWE.
- **Direction for growth**: Use technology to automate high-validity RWE generation at scale, reducing reliance on manual curation and accelerating time to market for therapies.

## Why Work Here
- **Culture highlights**: Diverse team of physicians, data scientists, clinical researchers, and engineers driven to bring richness and reliability to RWE as healthcare moves toward precision medicine.
- **Remote/hybrid policy**: Not explicitly stated; offices in Menlo Park (HQ) and Pune, India.
- **Notable perks / engineering culture**: Cutting-edge work at the intersection of AI, bioinformatics, and real-world evidence; opportunities to collaborate with leading life sciences firms and regulatory bodies; strong emphasis on scientific rigor and innovation.

## Sources
1. [verantos.com](https://verantos.com)
2. [verantos.com/careers](https://verantos.com/careers/)
3. [linkedin.com/company/verantos](https://www.linkedin.com/company/verantos)
4. [cbinsights.com/company/verantos](https://www.cbinsights.com/company/verantos)
5. [verantos.com/about](https://verantos.com/about/)

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