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IntegriChain

Life sciences data analytics for access

Senior Software Quality Automation Engineer

Test Automation EngineeringConfirmed live in the last 24 hours
Full-timePune, Maharashtra, IndiaNo salary listedHybrid

About the Job

Requirements

  • Hands-on professional QA engineering experience at a senior level, with a strong automation focus and at least 5 years of experience understanding test requirements, preparing test data and plans, and designing test cases for both automation and manual testing.
  • Expert Python testing skills, including pytest, test framework design, fixtures, and reporting.
  • At least 3 years of production test automation experience with Playwright for UI and API testing, including creating, executing, and maintaining automated test cases using Selenium WebDriver version 3 or later, Playwright, Postman, or Python requests; Python programming experience is required.
  • Deep BDD expertise, including framework design, Gherkin authoring, step library architecture, and living documentation.
  • Strong expertise writing complex database SQL queries, including joins, aggregations, and window functions, and performing data validation and reconciliation; hands-on experience with Snowflake and databases such as Postgres, MySQL, or RDS is required.
  • Hands-on experience in an AI-augmented or agentic development/testing environment, such as Claude Code, Copilot, AWS Bedrock, or equivalent.
  • Experience working in an Agile/Scrum environment, including sprint planning and iterative delivery.
  • Strong analytical and problem-solving skills, with a track record of owning quality outcomes end-to-end and being accountable for team-level quality outcomes.
  • Ability to influence technical decisions through well-supported proposals and demonstrated expertise, and to begin shaping team practices through example and mentorship.
  • Excellent written and verbal communication skills in a geographically distributed, cross-functional team.

Responsibilities

  • Work alongside AI agents as co-workers within the AI-SDLC framework, using Anthropic Claude Code, GitHub Copilot, and AWS Bedrock throughout design, development, testing, deployment, and maintenance cycles.
  • Use Jira tickets and Confluence documentation as the source of truth for requirements, decisions, and context.
  • Apply domain and product knowledge to evaluate and challenge requirements, ensuring they are precise, complete, and structured for effective processing by human engineers and AI agents.
  • Participate in Agile ceremonies, including sprint planning, stand-ups, retrospectives, and backlog refinement, to keep delivery on track and priorities aligned.
  • Surface and mitigate quality risks before they escalate by communicating test coverage gaps, flagging scope concerns during planning, and helping keep the team's quality commitments on track.
  • Own the test strategy and automation architecture with data quality as the primary focus, spanning ETL/ELT pipeline validation, source-to-target reconciliation, functional testing, end-to-end testing with Playwright, BDD, and performance testing with JMeter.
  • Build and maintain Python-based test frameworks and BDD feature suites, including reusable SQL and pandas/PySpark assertion libraries for data comparison, profiling, and reconciliation, aligned with biopharma business requirements.
  • Design and govern JMeter performance test plans for application and data layers, covering pipeline throughput, load-window adherence, and large-volume query response; analyze results and drive remediation with development teams.
  • Design data validation pipelines and complex SQL queries in PostgreSQL and Snowflake.
  • Serve as the go-to QA engineer for complex test challenges involving high complexity, regulatory risk, or system ambiguity.
  • Produce test strategy documents, defect trend analyses, and quality reports that inform team and stakeholder decisions; communicate quality status and risk to technical and non-technical audiences.
  • Incorporate pharma manufacturer client needs and regulatory requirements into test coverage decisions, and participate in incident responses and quality reviews with direct client impact.
  • Diagnose complex test failures, anticipate system failure modes, proactively design test coverage, evaluate quality trade-offs, and drive decisions with appropriate rigor.
  • Take accountability for individual work and the team's quality output by managing risks, communicating progress, and owning quality end-to-end.
  • Lift the team's quality output through proactive test design collaboration, knowledge sharing, unblocking, and raising the bar on delivered work.
  • Stay current with the team's evolving test toolset, including AI-augmented testing practices, Playwright updates, BDD patterns, and biopharma regulatory developments, and bring relevant updates into team practices.
  • Partner with backend developers, UI/UX developers, product analysts, and domain stakeholders within a geographically distributed team.
  • Mentor junior QA engineers and champion quality best practices across the team.
  • Evaluate and integrate AI-powered testing tools into the QA workflow.

Desired Qualifications

  • Experience with JMeter test plan design, distributed execution, and results analysis.

About the Company

IntegriChain

Life sciences data analytics for access

IntegriChain provides data-driven analytics for the life sciences industry to improve patient access to therapies. It combines an subscription-based data platform with managed services to cover the full brand lifecycle, from pre-launch to post-market. Its platform collects and aggregates data and applies analytics to identify access obstacles and opportunities in areas like government pricing, rebates, and gross-to-net calculations, helping pharmaceutical manufacturers optimize distribution and pricing strategies. The company differentiates itself by offering an end-to-end solution that blends technology with hands-on managed services, serving a broad base of clients (more than 220 life sciences companies) and using private equity backing to expand capabilities. Its goal is to help clients remove access barriers and maximize patient access to therapies while improving commercial operations.

Company size
501-1,000
Company stage
Debt Financing
Total funding
$8M
Headquarters
Philadelphia, PA
Founded
2005

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