Full Stack and DevOps

Job Title: Full Stack and DevOps & AI Engineer, AVP

Location: Pune, India

Role Description

• We are seeking a talented and experienced AI Engineer to join our team. The ideal candidate will be hands-on and drive design, development, and implementation of AI based solutions for CB Tech. This role involves working with large datasets, conducting experiments, and staying updated with the latest advancements in AI and Machine Learning.
• This person is expected to innovate and lead the efforts in modernizing the engineering landscape by identifying AI use cases and provide local support. E.g. Test Automation using AI etc.
• 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

What You'll Do

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.
• Ability to develop & deploy Chatbot, RAG, and Agent based AI solutions.
• 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

• 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.
• Experience in Python, Pandas and AI Libraries (Langchain, Langgraph, OpenAI etc.)
• Experience in GCP Vertex AI.
• 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.
• 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.
• 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 at DWS are committed to creating a diverse and inclusive workplace, one that embraces dialogue and diverse views, and treats everyone fairly to drive a high-performance culture. The value we create for our clients and investors is based on our ability to bring together various perspectives from all over the world and from different backgrounds. It is our experience that teams perform better and deliver improved outcomes when they are able to incorporate a wide range of perspectives. We call this #ConnectingTheDots.