- Work alongside AI agents as co-workers within our AI-SDLC framework — using Anthropic Claude Code, GitHub Copilot, and AWS Bedrock throughout design, development, testing, deployment, and maintenance cycles
- Drive work from Jira tickets and Confluence documentation as the source of truth for requirements, decisions, and context
- Leverage deep domain and product knowledge to evaluate and challenge requirements — ensuring they are precise, complete, and structured for effective processing by both human engineers and AI agents
- Participate actively in Agile ceremonies — sprint planning, stand-ups, retrospectives, and backlog refinement — to keep delivery on track and priorities aligned
- Surface and mitigate quality risks before they escalate — proactively 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, end-to-end (Playwright), BDD, and performance (JMeter) layers
- Build and maintain robust Python-based test frameworks and BDD feature suites — including reusable SQL and pandas/PySpark assertion libraries for data comparison, profiling, and reconciliation — that align test coverage to biopharma business requirements
- Design and govern JMeter performance test plans covering both application and data layers — pipeline throughput, load-window adherence, and large-volume query response; analyse results and drive remediation with development teams
- Design data validation pipelines/complex SQL queries in PostgreSQL and Snowflake
- Serve as the go-to QA engineer for the harder test challenges — the person the team relies on when complexity, regulatory risk, or system ambiguity is highest
- Produce clear test strategy documents, defect trend analyses, and quality reports that inform team and stakeholder decisions; communicate quality status and risk effectively to both technical and non-technical audiences
- Incorporate pharma manufacturer client needs and regulatory requirements into test coverage decisions; participate actively in incident responses and quality reviews that have direct client impact
- Apply strong analytical and problem-solving skills to diagnose complex test failures — anticipating system failure modes and designing test coverage for them proactively rather than reactively; evaluate quality trade-offs and drive decisions with appropriate rigour
- Demonstrate full accountability for your own work and the team's quality output — holding yourself answerable to team-level quality outcomes, not just individual test deliverables; proactively managing risks, communicating progress, and owning quality end-to-end
- Lift the overall quality output of the team — through proactive test design collaboration, knowledge sharing, unblocking, and consistently raising the bar on what the team ships
- Stay current with the team's evolving test toolset — including AI-augmented testing practices, Playwright updates, BDD patterns, and biopharma regulatory developments — and actively bring relevant updates into team practices
- Partner effectively across backend developers, UI/UX developers, product analysts, and domain stakeholders — communicating clearly 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
- Hands-on professional QA engineering experience at a senior level, with a strong automation focus - 5+ years of strong expertise in Test requirement understanding, test data, test plan & test case designing. Develop detailed test cases and test data to ensure business functionality is thoroughly tested – Automation & Manual.
- Expert Python testing skills — pytest, test framework design, fixtures, and reporting
- Strong hands-on experience with Playwright in production test suites - 3+ years of test automation – UI and API testing – Creating, execution and maintenance of automated test cases with Selenium web-driver (v3+)/playwright and Postman/ Python requests, with programming experience in Python (MUST)
- Deep BDD expertise — framework design, Gherkin authoring, step library architecture, living documentation
- Strong expertise in database SQL queries (MUST) – complex joins, aggregations, window functions, data validation and reconciliation – with hands-on experience on Snowflake and other databases such as Postgres/ MySQL/ RDS
- JMeter experience — test plan design, distributed execution, and results analysis (Good to have)
- Hands-on experience working in an AI-augmented or agentic development/testing environment (e.g. Claude Code, Copilot, AWS Bedrock, or equivalent)
- Solid 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 — accountable to team-level quality outcomes, not just individual deliverables
- Influences technical decisions on the team through well-supported proposals and demonstrated expertise; beginning to shape team practices through example and mentorship
- Excellent written and verbal communication skills within a geographically distributed, cross-functional team
What does IntegriChain have to offer?
- Mission driven: Work with the purpose of helping to improve patients' lives!
- Excellent and affordable medical benefits + non-medical perks including Flexible Paid Time Off and much more!
- Robust Learning & Development opportunities including over 700+ development courses free to all employees
#LI-NS1
IntegriChain is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment without regard to race, color, religion, national origin, ethnicity, age, sex, marital status, physical or mental disability, gender identity, sexual orientation, veteran or military status, or any other category protected under the law. IntegriChain is an equal opportunity employer; committed to creating a community of inclusion, and an environment free from discrimination, harassment, and retaliation.
