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Job Description DevOps and Full Stack Engineer, AVP Position Overview Job Title: Full Stack and DevOps Engineer, AVP Location: Pune, India Role Description - We are seeking a results-driven engineer with a strong foundation in Test Automation, DevSecOps, and the use of AI-enhanced developer tools like Gemini, GitHub Copilot, and OpenRewrite. The role involves building robust automated test solutions, integrating secure DevOps practices on GCP, and continuously improving software quality and delivery through intelligent tooling. - If you are actively coding, have a passion for AI and want to be part of developing innovative products - then apply today. What we'll offer you As part of our flexible scheme, here are just some of the benefits that you'll enjoy, - Best in class leave policy. - Gender neutral parental leaves - 100% reimbursement under childcare assistance benefit (gender neutral) - Sponsorship for Industry relevant certifications and education - Employee Assistance Program for you and your family members - Comprehensive Hospitalization Insurance for you and your dependents - Accident and Term life Insurance - Complementary Health screening for 35 yrs. and above Your key responsibilities Develop and maintain automated test frameworks for APIs, UI, and integration workflows. - Ability to develop microservices using Spring boot, Python based services in Cloud (Openshift/GCP) - Implement and manage CI/CD pipelines on Google Cloud Platform (GCP) using Cloud Build, Cloud Functions, and related services. - Utilize Gemini, GitHub Copilot, and OpenRewrite to accelerate test development, modernize codebases, and enforce best practices. - Integrate tools like Dependabot, SonarQube, Veracode, and CodeQL to drive secure, high-quality code. - Promote and apply shift-left testing strategies and DevSecOps principles across all stages of the SDLC. - Collaborate cross-functionally to deliver scalable, intelligent automation capabilities embedded within engineering workflows. Your skills and experience Skills You'll Need - Experience with Spring boot-based services in Cloud/GCP. - Experience with test automation frameworks such as Selenium, Cypress, REST Assured, or Playwright. - Deep understanding of DevOps and cloud-native delivery pipelines, especially using GCP. - Hands-on with AI/ML tools in the development lifecycle, including Gemini, GitHub Copilot, and OpenRewrite. - Familiar with DevSecOps tools: SonarQube, Veracode, CodeQL, Dependabot/Renovatebot. - Proficient in scripting (Python, Shell) and using version control systems like Git. - Knowledge of Agile methodologies (Scrum, Kanban), TDD, and BDD. - Experience with Infrastructure-as-Code (Terraform, GCP Deployment Manager) Skills Nice to have: - Experience with GCP services such as DataFlow, Pub-Sub, Cloud Storage, BigQuery. - Experience in Python, Pandas and AI Libraries (Langchain, Langgraph, OpenAI etc.) - Stakeholder Communication: Ability to explain AI concepts to non-technical audiences and collaborate cross-functionally. - Adaptability & Innovation: Flexibility in learning new tools and developing innovative solutions. - Experience in GCP Vertex AI. - Exposure to GKE, Docker, or Kubernetes.). - Knowledge of performance/load testing tools (e.g., JMeter, k6). - Relevant certifications in GCP, DevOps, Test Automation, or AI/ML. How we'll support you - Training and development to help you excel in your career. - Coaching and support from experts in your team. - A culture of continuous learning to aid progression. - A range of flexible benefits that you can tailor to suit your needs. About us and our teams Please visit our company website for further information: We strive for a in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.
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