Senior AI Engineer (Site Reliability)

HYDERABAD OFFICE INDIA, India

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Job Location

HYDERABAD OFFICE INDIA

Job Description

About SRE Team:

Site Reliability Engineering (SREs) is responsible for keeping all production systems running efficiently including some bug fixing. SREs are a blend of pragmatic operators and software craftspeople that apply sound engineering principles, operational field, and mature automation to our operating environments and the P&G codebase. SREs specializes in systems (operating systems, storage subsystems, networking), while implementing standard processes for availability, reliability, and scalability, with multifaceted interests in algorithms and distributed systems.

In this role, you'll be constantly learning, staying up to date with industry trends and new technologies in data solutions. You'll have the chance to work with a variety of tools and technologies, including big data platforms, machine learning frameworks, and data visualization tools, to build innovative and effective solutions.

So, if you're passionate about the possibilities of data, and eager to make a real impact in the world of business, a career in SRE team might be just what you're looking for. Join us and become a part of the future of digital transformation.

About P&G IT:

Digital is at the core of P&G’s accelerated growth strategy. With this vision, IT in P&G is deeply embedded into every critical process across business organizations comprising 11+ category units globally crafting impactful value through Transformation, Simplification & Innovation. IT in P&G is sub-divided into teams that engage strongly for revolutionizing the business processes to deliver outstanding value & growth - Digital GTM, Digital Manufacturing, Marketing Technologist, Ecommerce, Data Sciences & Analytics, Data Solutions & Engineering, Product Supply.

Responsibilities:

As a Site Reliability Engineer (SRE) at P&G, you will play a crucial role in ensuring the reliability, availability, and performance of our production systems. Your role will blend software engineering principles with operational field to build scalable and highly available systems. You will collaborate with development and operations teams to implement automation, optimize costs, and troubsolve issueshey arise.

  • Oversee and maintain the smooth operation of production systems, ensuring high availability and reliability.

  • Lead post-incident reviews to identify improvements in processes and systems. 

  • Develop monitoring and observability dashboards and alerts to provide actionable insights into system health.

  • Design and implement automation solutions for routine operational tasks to improve efficiency and reduce manual intervention.

  • Develop and maintain automatic tests to ensure the quality and reliability of production systems.

  • Analyze system performance and resource utilization to identify opportunities for cost optimization.

  • Work with teams to implement best practices for prioritization and cost-efficient architecture.

  • Participate in the change management process to facilitate flawless production deployments.

  • Plan, execute, and supervise production deployments to ensure minimal downtime and service disruption.

  • Collaborate with other teams to ensure accurate deployment strategies and rollback mechanisms are in place.

Job Qualifications

Qualifications:

  • A Bachelors or Master’s degree in Computer Science, Software Engineering or related field

  • Understanding of cloud computing concepts and services, particularly within Microsoft Azure

  • Python programming skills on intermediate level at least (sophisticated level will be a plus)

  • Experience with AI / ML products such as Azure Machine Learning and Databricks

  • Experience in monitoring, and observability and logging implementation

  • Experience with source control management tools (GitHub) including verification of Pull Requests and static code analysis (e.g. SonarQube)

  • Experience in writing the tests in Pytest will be a plus

  • Strong problem-solving skills

  • Strong written and verbal communication in English

About us

We produce globally recognized brands, and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders are able to lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax® and more. Our community includes operations in approximately 70 countries worldwide.

Visit http://www.pg.com to know more.

We are an equal opportunity employer and value diversity at our company. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, HIV/AIDS status, or any other legally protected factor.

"At P&G, the hiring journey is personalized every step of the way, thereby ensuring equal opportunities for all, with a strong foundation of Ethics & Corporate Responsibility guiding everything we do.
All the available job opportunities are posted either on our website - pgcareers.com, or on our official social media pages, for the convenience of prospective candidates, and do not require them to pay any kind of fees towards their application.”

Job Schedule

Full time

Job Number

R000135406

Job Segmentation

Experienced Professionals (Job Segmentation)
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Architecture Azure Big Data Computer Science Databricks Data visualization Distributed Systems E-commerce Engineering GitHub Machine Learning Python

Perks/benefits: Career development Startup environment

Region: Asia/Pacific
Country: India

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