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NTT DATA Logo NTT DATA · IT - Software Development

DevOps/QA Automation Engineer with Playwright skills

India, Bangalore · Job Posted May 29, 2026
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Job Description

Model Control System (MCS) is used to manage firm-wide inventory of models by front-office, finance, operations, control, and oversight functions. It is the central repository for storing model meta-data, documentation, and implements model workflows in accordance with The Firm Global Model Risk Management Policy.

Job Responsibility

  • The team supports cross-divisional business areas with high visibility and oversight from both internal risk management and external regulatory authorities across the globe
  • To support significant growth in business functionality and support changing regulatory environment, including implementing new global policy frameworks such as AI/ML/GenAI model framework, MCS is undergoing significant modernization using latest technology stack
  • The new technology platform being built needs to support model inventory management, workflows, event management, Model Usage, Model documentation, GenAI integration, analytics, and reporting
  • The candidate needs to be highly motivated, self-learner, and a team player with effective communication skills
  • In addition, the candidate must value producing quality software and have a solid understanding of computer science fundamentals
  • We would need someone who can assume responsibility for projects with a strong mindset of DevOps and Test automation
  • Their goals will be to Improve DevOps practices, improve the QA automation, and modernize applications using industry standard practices

Requirements

  • Strong knowledge of DevOps and related tools, like Github, GitOps, Splunk, Grafana, OpenTelemetry and other Observabilities tools
  • Strong knowledge about containerization and orchestration, experiences with Docker, Podman, Kubenetes and releated yaml files to deploy the applications
  • Strong knowledge about CI/CD and experiences with Jenkins Pipeline, GitHub Actions
  • Strong knowledge of infrastructure as Code and related scripting languaes, like Puppet, Ansible, Python, etc.
  • Strong knowledge of QA test scenarios Analysis and test automation with automation framework like Selenium, Cypress, JBehave, Cucumber, and Gerkins language
  • Strong Knowledge of Relational Databases, SQL, MongoDB, and NoSQL
  • Strong scripting technique with Python or other scripting language
  • Strong knowledge of JAVA including collection framework
  • Strong Analytical and problem-solving techniques
  • Strong knowledge of GIT source code management

Nice to have

  • Knowledge of Representation state transfer (RESTful Web services)
  • Knowledge about liquibase to apply the database changes indempotently
  • Knowledge of HTTP, XML, JSON and YAML
  • Knowledge of Unix/Linux
  • Knowledge about cloud technologies like AWS, Azure, Snowflake, Mongo Atlas, and Databricks
  • Knowledge about Helm chart to manage the Kubenetes resources
  • Knowledge aobut Spring framework ( Spring MVC, Spring Boot, Spring Integration Test), with strong mindset of Clean Code and Clean Architectural design
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