Senior Platform Automation and DevOps Engineer

Why PWC

At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us.

At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.

Responsibilities 

• Design, architect, and implement enterprise automation solutions for operational and business requirements. 

• Build and maintain cloud-native platforms and automation frameworks across AWS and Azure environments. 

• Design and implement serverless and event-driven architectures using cloud-native services. 

• Develop and maintain Infrastructure as Code (IaC) and configuration management solutions. 

• Build and support CI/CD pipelines for platform, application, and automation deployments. 

• Develop automation solutions using Python, Shell Scripting, APIs, and cloud services. 

• Manage platform operations, system administration, monitoring, troubleshooting, and reliability initiatives. 

• Evaluate business problems, create proof-of-concepts, recommend technical solutions, and drive implementation through production deployment. 

• Design and implement AI-enabled automation solutions leveraging LLMs, RAG architectures, cloud AI services, and intelligent workflows. 

• Implement logging, monitoring, observability, and operational reporting solutions. 

• Support cloud governance, security, performance optimization, and cost optimization initiatives. 

• Collaborate with engineering, operations, and business teams to deliver scalable and reliable platform solutions. 

Mandatory Skill sets:

• Platform Engineering 

• DevOps Engineering 

• Cloud Engineering 

• Infrastructure Automation 

• AWS Cloud Services 

• Azure Cloud Services 

• Terraform 

• Ansible 

• Jenkins 

• CI/CD Pipeline Design and Implementation 

• Python 

• Shell Scripting 

• Linux Administration 

• REST API Integration and Automation 

• Serverless Architecture 

• Event-Driven Architecture 

• Monitoring and Observability, especially NewRelic 

• Docker and Container Technologies 

• System Design and Solution Architecture 

• Production Support and Troubleshooting 

• AI/LLM Fundamentals 

• RAG Architecture Concepts 

• AI-Powered Automation Solutions 

Preferred Skill sets:

• React.js 

• Node.js / Express.js 

• Databricks, Functional and CICD 

• Basics of Machine Learning and Predictive Analytics, e.g. XGBoosts, NLU, BERT etc. 

• AWS Bedrock 

• Azure OpenAI Services 

• Playwright and Selenium 

• Cost Optimization Platforms 

• Full Stack Development Exposure 

• Enterprise Reporting and Analytics Solutions 

Years of experience required:

5-8

Education qualification:

BE/B.Tech/MCA/M.Tech