At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.

Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.

Skills

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

Analyse and identify the linkages and interactions between the component parts of an entire system.
Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
Develop skills outside your comfort zone, and encourage others to do the same.
Effectively mentor others.
Use the review of work as an opportunity to deepen the expertise of team members.
Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

The Opportunity

When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, you’ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You’ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills.

As part of the Data and Analytics team you will design, build, and operate resilient systems that power applications across multiple cloud platforms. As a Manager you will oversee DevOps practices, mentor junior engineers, and maintain the implementation of quality practices in container orchestration and CI/CD pipelines.

Responsibilities

Design and implement resilient, scalable infrastructure to support GenAI and LLM-powered applications in production, ensuring cloud-native best practices and scalability.
Lead the end-to-end development and automation of CI/CD pipelines across multi-cloud environments using tools like GitHub Actions, Azure DevOps, or Jenkins.
Architect and govern Kubernetes-based container orchestration strategies across multi-cloud platforms, leveraging Infrastructure-as-Code tools such as Terraform.
Drive observability by implementing comprehensive monitoring, logging, and alerting systems across AI pipelines and cloud infrastructure.
Define and enforce architecture standards for messaging and event-driven systems using Azure Service Bus, AWS SQS, Kafka, and RabbitMQ.
Maintain hands-on expertise across at least two major cloud platforms (AWS, Azure mandatory, or GCP), including their native AI/GenAI services and LLMOps tools such as MLflow and LangSmith.
Lead, mentor, and develop engineering teams, fostering high performance, career growth, and aligning team culture with organizational goals.
Maintain strong knowledge of coding tools, DevOps tooling, version control, and code quality/security tools to ensure project lifecycle standards and pipeline quality.

What You Must Have

Bachelor's Degree
8+ years of experience
Oral and written proficiency in English required

What Sets You Apart

Proven experience managing production infrastructure for large-scale, high-availability systems ensuring reliability and performance.
Architect and govern enterprise-wide CI/CD pipelines using Azure DevOps, GitHub Actions, and OCI DevOps for seamless automation.
Skilled in Kubernetes and Helm for orchestrating containerized AI workloads efficiently.
Strong expertise in Infrastructure-as-Code tools such as Terraform and Bicep for scalable, repeatable infrastructure management.
Proficient in implementing monitoring, logging, and code quality tool integrations to maintain system observability and code standards.
Experience with security frameworks and compliance to ensure secure and compliant infrastructure operations.

PwC Acceleration Center India

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