Role: Senior Level Quality Assurance Engineer
Location: India, Remote
Experience: 8+ Years

Algoworks

About the Company

We are a global team of engineers, architects, designers, researchers, operators and innovators who share a passion for achieving client goals. Our engineering services help businesses thrive at the intersection of technology and people. From the latest AI implementations to legacy platform migrations and everything in between, our services span the enterprise technology spectrum. Our world class experience transformation playbook elevates digital success and increases ROI with a relentless focus on the human experience. Our customer base includes Fortune 500 companies around the globe. We’ve got the skills and insights and we’re also fun to work with. Our global team spans a diverse cultural spectrum, with wide ranging interests, enabling us to bring personality and depth to every engagement.


Follow the video below to know about us! Clipchamp     

Role Overview

We are seeking a highly technical, data-focused Senior QA Automation Engineer to support Corporate Technology initiatives across accounting, treasury, finance, and enterprise integration platforms. This role will be central to validating complex data flows involving Airflow and related financial system integrations.
This position is best suited for a QA engineer with strong expertise in integration testing, data validation, reconciliation, and API- and file-based workflows, along with experience in AI-assisted automation. There is minimal focus on traditional UI testing. Success in this role requires the ability to quickly understand complex system flows, ask the right questions early, build automation alongside testing, and communicate effectively across engineering, product, finance, treasury, and vendor teams.

Key Responsibilities:

  • Own QA strategy and execution for enterprise integration initiatives, including Airflow implementation.
  • Design and execute tests for API, ETL, batch, and file-based workflows across upstream and downstream systems.
  • Build automated validation assets during testing, including SQL checks, reconciliation queries, Python-based data validation scripts, API test suites, and reusable regression utilities.
  • Use AI coding assistants (e.g., Codex, Claude Code) to accelerate automation, data analysis utilities, test scaffolding, and repeatable QA assets, while validating outputs for correctness and maintainability.
  • Validate source-to-target mappings, transformations, business rules, ledger impacts, exception handling, duplicate prevention, rerun safety, and operational controls.
  • Test Airflow DAG behavior, including scheduling, dependencies, retries, failure handling, backfills, parameterization, and re-runs.
  • Collaborate with business and technical stakeholders to clarify requirements, identify gaps, and proactively surface risks.
  • Support release readiness, cutover validation, post-deployment verification, and production issue triage.

Required Qualifications:

  • 6+ years of QA experience with a strong focus on integration, ETL, data, financial systems, or enterprise platform testing.
  • Strong SQL expertise with experience in data validation, reconciliation, balancing, completeness, and accuracy checks.
  • Hands-on experience testing APIs, file-based integrations, and batch/workflow-driven systems.
  • Strong automation mindset with experience building scripts, utilities, or frameworks for test automation.
  • Experience using AI-assisted coding tools (e.g., Codex, Claude Code) in QA workflows.
  • Ability to read, review, and validate code/scripts, particularly in Python (or similar languages).
  • Strong communication skills (written and verbal).
  • Proactive and self-driven working style with the ability to operate independently.
  • Strong analytical thinking and problem-solving capabilities.

Nice to have:

  • Experience with Airflow or similar workflow orchestration tools.
  • Experience with accounting, treasury, capital markets, ERP, or general ledger systems.
  • Familiarity with CI/CD pipelines, logging frameworks, SonarQube, Docker, or Kubernetes.
  • Experience supporting vendor implementations or enterprise system upgrades.
  • Background in mortgage, lending, fintech, or financial services.

Must-Have Skills:

  • Strong SQL and data validation skills.
  • API, file-based, and batch workflow testing experience.
  • Python/scripting and QA automation experience.
  • AI-assisted coding tools familiarity.

Desired Attributes:

  • Strong ownership and accountability.
  • Ability to work effectively in ambiguous environments.
  • Detail-oriented with a focus on data accuracy and quality.
  • Confident in asking questions and challenging assumptions.
  • Continuous learning mindset with adaptability to new tools and systems.

What Success Looks Like:

  • Builds automation alongside testing, not as an afterthought.
  • Identifies and mitigates risks early in the lifecycle.
  • Leverages AI tools effectively while maintaining validation rigor.
  • Communicates clearly and drives alignment across teams.
  • Acts as a force multiplier for both testing speed and depth.

Interview Process
2 to 3 Rounds of Discussions.


View all job openings