Generative AI -DevOps-Senior Associate

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

The Opportunity

Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day.

As a Generative AI - DevOps - Senior Associate, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Data and Analytics Engineering practice, you will focus on leveraging advanced analytics and statistical techniques to extract insights from large datasets, helping solve complex business problems and inform strategic decisions. As a Senior Associate, you will build meaningful client connections and learn how to manage and inspire others. You will navigate increasingly complex situations, growing your personal brand and deepening your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality work even when the path forward isn’t clear.

In this role at PwC Acceleration Center India, you will engage in exploratory and descriptive analysis, statistical modeling, and creating data visualizations. You will use a broad range of tools and methodologies to generate new ideas and solve problems, while upholding professional and technical standards. This position offers a unique opportunity to develop a deeper understanding of the business context and how it is evolving, allowing you to grow both personally and professionally.

Responsibilities

- Deploy, manage, and scale Kubernetes applications using kubectl and Helm, including performing rolling updates and rollbacks.

- Build, push, and manage Docker images through JFrog Artifactory and Azure Container Registry.

- Design, implement, and maintain YAML- driven CI/CD pipelines across Azure DevOps, GitHub Actions, and Oracle Cloud Infrastructure DevOps, integrating automated testing, security scans, and artifact promotion.

- Develop and maintain Terraform modules to provision compute, networking, and platform resources across AWS, Azure, GCP, and Oracle Cloud.

- Set up and manage monitoring, logging, and alerting systems using Datadog, Prometheus, Grafana, or ELK Stack, and define SLOs/SLAs to support incident response and root cause analysis.

- Automate infrastructure provisioning, routine maintenance, and monitoring workflows, including managing IP address assignments and DNS mappings for services.

- Utilize LLMOps tools like MLflow or LangSmith for experiment tracking and model monitoring in machine learning workflows.

What You Must Have

- Bachelor's & Master's Degree in computer science, Data Science, or a related field

- 4+ years of experience in technical/technology roles

- Oral and written proficiency in English required

What Sets You Apart

- Preferred Master’s degree in Engineering, Computer Science, or related field, with relevant certifications like AWS Certified DevOps Engineer or Azure DevOps Engineer.

- Experience working across multi-cloud environments including AWS, Azure, GCP, or Oracle Cloud.

- Proven ability to build and manage CI/CD pipelines using tools such as GitHub Actions, Azure DevOps, or Jenkins.

- Hands-on expertise with monitoring and logging tools like Datadog, Prometheus, Grafana, or ELK Stack.

- Strong skills in container orchestration and automation of CI/CD workflows.

- Proficient in infrastructure as code (IaC) practices and scripting for automation tasks.

Travel Requirements

Not Specified

Job Posting End Date

• Bachelor's & Master's Degree in computer science, Data Science, or related field
• 4+ years of experience in technical/technology roles
• Oral and written proficiency in English
• Master's degree in Engineering, Computer Science, or related field
• AWS Certified DevOps Engineer or Azure DevOps Engineer certification
• Experience working across multi-cloud environments including AWS, Azure, GCP, or Oracle Cloud
• Proven ability to build and manage CI/CD pipelines using GitHub Actions, Azure DevOps, or Jenkins
• Hands-on expertise with monitoring and logging tools like Datadog, Prometheus, Grafana, or ELK Stack
• Strong skills in container orchestration and automation of CI/CD workflows
• Proficient in infrastructure as code (IaC) practices and scripting for automation tasks