External Title: QA Engineer AI/ML

Company Profile

Founded in 1976, CGI is among the largest independent IT and business consulting services firms in the world. With 94,000 consultants and professionals across the globe, CGI delivers an end to end portfolio of capabilities, from strategic IT and business consulting to systems integration, managed IT and business process services and intellectual property solutions. CGI works with clients through a local relationship model complemented by a global delivery network that helps clients digitally transform their organizations and accelerate results.

CGI Fiscal 2024 reported revenue is CA$14.68 billion and CGI shares are listed on the TSX (GIB.A) and the NYSE (GIB). Learn more at cgi.com.

Job Title: Automation Tester

Position: Senior Test Engineer

Experience: 5 7 Years

Category: Software Engineering

Shift: 12.30 PM to 10.00 PM IST

Work Mode: Hybrid (3 days in office, 2 days WFH)

Primary location: India, Karnataka, Bangalore

CGI Office: TPLS Bangalore / E city Bangalore / DLF Chennai / DLF Hyderabad

Employment Type: Full Time

Role Overview

We are seeking a highly skilled and detail oriented Data Testing & Automation Engineer to join our team. In this role, you will be responsible for ensuring the accuracy, reliability, and performance of our complex data pipelines and data processing systems. You will leverage your expertise in Python, SQL, and modern data orchestration tools to validate large scale data transformations, while applying your deep understanding of the banking domain to ensure business logic and reconciliation processes are flawless.

We are also looking for a forward thinking individual who can leverage cutting edge AI/ML tools (like Copilot and Agentic AI) to enhance our testing strategies.

Key Responsibilities

Data Validation & Reconciliation: Design, develop, and execute rigorous data testing strategies, focusing on end to end reconciliation and data validation across complex data architectures.

Pipeline Testing: Validate and monitor ETL pipelines, ensuring data lineage accuracy and tracing data transformations from source to destination using tools like DataStage or Informatica.

Automation Development: Build and maintain robust automation frameworks using Robot Framework, Python scripting (pandas, PySpark, NumPy),



and complex SQL (including cross DB queries and stored procedures).

Orchestration & Workflow Validation: Test and monitor Apache Airflow DAGs, analyzing logs within an OCP (OpenShift Container Platform) environment to ensure smooth task orchestration.

API & System Integration Testing: Perform comprehensive API testing utilizing REST principles and Postman.

Environment Management: Perform log analysis and write shell scripts in Unix/Linux environments to troubleshoot issues and automate routine operational tasks.

Domain Application: Apply deep knowledge of the Banking domain, specifically in Transaction Lifecycle Management (TLM) and financial reconciliation, to design relevant and rigorous test cases.

AI Integration: Actively utilize AI/ML tooling, including GitHub Copilot and Agentic AI solutions, to optimize test script generation, streamline workflows, and drive innovation in QA practices.

Requirements

Must Have Skills & Qualifications

Data Testing: Proven experience in complex data testing, reconciliation, and validation methodologies.

Python: Strong scripting skills utilizing libraries such as pandas, PySpark, and NumPy for data manipulation and testing.

SQL: Advanced proficiency in writing complex SQL queries, cross database querying, and working with stored procedures.

ETL Concepts: Deep understanding of ETL pipelines, data mapping, and data lineage tracking.

Unix / Linux: Comfortable navigating Unix/Linux environments, including shell scripting and comprehensive log analysis.

Airflow: Hands on experience with Apache Airflow, including DAG testing, log analysis, and operating within OCP environments.

API Testing: Solid experience testing RESTful APIs using Postman or similar tools.

Robot Framework: Practical experience building and executing automation scripts using Robot Framework.

Banking Domain: Domain expertise in banking and financial services,



with specific experience in TLM (Transaction Lifecycle Management) and financial reconciliation.

ETL Tools: Practical knowledge of enterprise ETL tools such as IBM DataStage or Informatica.

AI/ML Adoption: Experience or solid familiarity with modern AI/ML development aids, specifically Copilot and Agentic AI workflows.

Nice to Have Skills

Cloud Platforms: Experience testing and operating within cloud based pipeline environments (AWS or Azure).

Test Management: Familiarity with Qtest or similar enterprise test management platforms.

CGI is an equal opportunity employer. In addition, CGI is committed to providing accommodation for people with disabilities in accordance with provincial legislation. Please let us know if you require reasonable accommodation due to a disability during any aspect of the recruitment process and we will work with you to address your needs.

Your future duties and responsibilities

Required qualifications to be successful in this role

Together, as owners, let’s turn meaningful insights into action.

Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because…

You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.

Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.

You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.

That same commitment to fairness extends to how we use technology. To support our recruitment team, AI tools may be used to help assess applications though they never replace human judgement. All hiring decisions remain entirely in the hands of our recruitment professionals.

Come join our team—one of the largest IT and business consulting services firms in the world.

📌 QA Engineer - AI/ML (Bengaluru)
🏢 CGI
📍 Bengaluru