Qualitest

AI-powered software testing and quality engineering

Senior Automation Architect

Test Automation EngineeringPosted on Nov 11

Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

15–20 years of overall IT experience, with significant experience in automation engineering, solution architecture, and technical leadership.
Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related technical field.
Strong hands-on experience with Python, Playwright, Java, object-oriented programming, scripting, and exception handling.
Experience with PyTest, Robot Framework, and developing reusable or custom libraries.
Experience with ETL/ELT, SQL, data validation, and pipeline testing.
Strong experience with Appium for Android/iOS mobile automation.
Knowledge of model evaluation, training and validation concepts, drift monitoring, and bias and fairness testing.
Experience with Git, Jenkins or equivalent CI/CD tools, and automated quality gates.
Experience with REST APIs, JSON, authentication, and system integration.
Experience with AWS, Azure, or GCP and infrastructure automation concepts.
Knowledge of design patterns, framework architecture, scalability, and maintainability.
Ability to produce technical documentation, mentor engineers, conduct design reviews, and communicate with stakeholders.
Experience with AWS, Microsoft Azure, or Google Cloud Platform.

Responsibilities

Design and implement scalable enterprise automation architectures and reusable automation frameworks.
Develop Python-based automation solutions using PyTest, Robot Framework, or equivalent tools.
Architect cloud automation solutions for infrastructure provisioning, configuration management, deployment, scaling, and operational lifecycle management.
Automate cloud infrastructure using Terraform, Ansible, and native cloud automation services.
Integrate automated testing and infrastructure deployment into CI/CD pipelines.
Design API integrations, monitoring solutions, event-driven automation, and automated remediation workflows.
Provide technical leadership, define architecture standards, mentor engineers, and collaborate with cross-functional stakeholders.
Design and implement automated testing for data pipelines, ETL/ELT workflows, data quality, and data integrity.
Develop automated validation strategies for big data platforms and distributed data processing systems.
Develop automation frameworks for AI/ML model testing, including accuracy, performance, drift, fairness, bias, and explainability.

Desired Qualifications

Telecommunications domain knowledge, particularly telecom network operations, service assurance, fault management, and event correlation.
Experience with MLOps, model monitoring, and AI-powered test automation.
Familiarity with Apache Kafka and Apache Airflow.
Experience with hybrid cloud, multi-cloud environments, cloud security, and cost optimization.

Job Title: Senior Automation ArchitectExperience Required: 15–20 yearsStart Date - 15th Jan, 2027Role OverviewSeeking a highly experienced Senior Automation Architect with 15–20 years of overall IT experience and strong expertise in automation architecture, Python-based test automation, cloud automation, data testing, ETL/ELT pipelines, big data platforms, and AI/ML model validation. The candidate should have proven experience designing enterprise-scale automation frameworks, automating cloud infrastructure and operations, driving test strategy, integrating automation into CI/CD pipelines, and leading technical teams across complex projects.Key Responsibilities1. Design and implement scalable enterprise automation architectures and reusable automation frameworks.2. Develop Python-based automation solutions using PyTest, Robot Framework, or equivalent tools.3. Architect cloud automation solutions for infrastructure provisioning, configuration management, deployment, scaling, and operational lifecycle management.4. Automate cloud infrastructure using tools such as Terraform, Ansible, and native cloud automation services.5. Integrate automated testing and infrastructure deployment into CI/CD pipelines.6. Design API integrations, monitoring solutions, event-driven automation, and automated remediation workflows.7. Provide technical leadership, define architecture standards, mentor engineers, and collaborate with cross-functional stakeholders.7. Design and implement automated testing for data pipelines, ETL/ELT workflows, data quality, and data integrity.8. Develop automated validation strategies for big data platforms and distributed data processing systems.9. Develop automation framework for AI/ML model testing covering accuracy, performance, drift, fairness, bias, explainability, etc.Skill area: Required capabilitiesProgramming: Strong hands-on experience with Python, Playwright, Java, object-oriented programming, scripting, exception handlingAutomation: Good experience with PyTest, Robot Framework, and developing reusable/custom librariesData engineering: ETL/ELT, SQL, data validation, pipeline testingDevices Automation: Strong experience with Appium for Android/iOS mobile automationAI/ML: Model evaluation, training/validation concepts, drift monitoring, bias and fairness testingDevOps: Git, Jenkins or equivalent CI/CD tools, automated quality gatesAPIs and integration: REST APIs, JSON, authentication, system integrationCloud and infrastructure: AWS, Azure, or GCP; infrastructure automation conceptsArchitecture: Design patterns, framework architecture, scalability, maintainabilityLeadership: Technical documentation, mentoring, design reviews, stakeholder communicationCloud platforms: AWS, Microsoft Azure, or Google Cloud Platform (GCP).Good-to-Have Skill1. Telecommunications domain knowledge is a plus, particularly telecom network operations, service assurance, fault management, and event correlation.2. Experience with MLOps, model monitoring and AI-powered test automation.3. Familiarity with Apache Kafka and Apache Airflow4. Experience with hybrid cloud, multi-cloud environments, cloud security, and cost optimization Qualifications15–20 years of overall IT experience, with significant experience in automation engineering, solution architecture, and technical leadership.Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related technical field.

About the Company

Qualitest

AI-powered software testing and quality engineering

Qualitest provides software testing services powered by AI to help clients in healthcare, finance, and technology improve quality and speed up time to market. Its core product is Qualisense, an AI tool that enhances risk-based testing by prioritizing testing efforts, identifying high-risk areas, and optimizing test coverage. This allows Qualitest to automate and accelerate testing workflows, reduce costs, and improve operational efficiency for large, diverse enterprises worldwide. The company differentiates itself from competitors through its focus on AI-driven testing and risk-based strategies, enabling faster release cycles and better customer experiences. Qualitest aims to help organizations deliver reliable software quickly and at lower overall risk by combining specialized testing services with advanced AI-enabled tooling, primarily under long-term service contracts and partnerships.

Company size: 1,001-5,000
Company stage: Acquired
Total funding: $497M
Headquarters: Fairfield, CT
Founded: 1997

Recently Posted Jobs

Explore more opportunities at Qualitest

See more jobs