Job
Description
Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary 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 decisionmaking and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Why PWC & Summary Job Overview As a Cloud Engineer , you will be responsible for developing, deploying, and managing cloudbased applications and services on AWS . You will use your expertise in Java 17+ , Spring Boot , and Microservices to build robust and scalable cloud solutions. This role will involve working closely with development teams to ensure seamless cloud integration, optimizing cloud resources, and leveraging AWS tools to ensure high availability, security, and performance. Key Responsibilities Cloud Infrastructure Design, build, and deploy cloudnative applications on AWS , utilizing services such as EC2 , S3 , Lambda , RDS , EKS , API Gateway , and CloudFormation . Backend Development Develop and maintain backend services and microservices using Java 17+ and Spring Boot , ensuring they are optimized for the cloud environment. Microservices Architecture Architect and implement microservicesbased solutions that are scalable, secure, and resilient, ensuring they align with AWS best practices. CI/CD Pipelines Set up and manage automated CI/CD pipelines using tools like Jenkins , GitLab CI , or AWS CodePipeline for continuous integration and deployment. AWS Services Integration Integrate AWS services such as DynamoDB , SQS , SNS , CloudWatch , and Elastic Load Balancing into microservices to improve performance and scalability. Performance Optimization Monitor and optimize the performance of cloud infrastructure and services, ensuring efficient resource utilization and cost management in AWS. Security Implement security best practices in cloud applications and services, including IAM roles , VPC configuration , encryption , and authentication mechanisms. Troubleshooting & Support Provide ongoing support and troubleshooting for cloudbased applications, ensuring uptime , availability, and optimal performance. Collaboration Work closely with crossfunctional teams, including frontend developers, system administrators, and DevOps engineers, to ensure endtoend solution delivery. Documentation Document the architecture, implementation, and operations of cloud infrastructure and applications to ensure knowledge sharing and compliance. Required Skills & Qualifications Strong experience with Java 17+ (latest version) and Spring Boot for backend development. Hands on experience with AWS Cloud services such as EC2 , S3 , Lambda , RDS , EKS , API Gateway , DynamoDB , SQS , SNS , and CloudWatch . Proven experience in designing and implementing microservices architectures. Solid understanding of cloud security practices, including IAM , VPC , encryption , and secure cloudnative application development. Experience with CI/CD tools and practices (e.g., Jenkins , GitLab CI , AWS CodePipeline ). Familiarity with containerization technologies like Docker , and orchestration tools like Kubernetes . Ability to optimize cloud applications for performance, scalability, and costefficiency. Experience with monitoring and logging tools like CloudWatch , ELK Stack , or other AWSnative tools. Knowledge of RESTful APIs and API Gateway for exposing microservices. Solid understanding of version control systems like Git and familiarity with Agile methodologies. Strong problemsolving and troubleshooting skills, with the ability to work in a fastpaced environment. Preferred Skills AWS certifications, such as AWS Certified Solutions Architect or AWS Certified Developer . Experience with Terraform or AWS CloudFormation for infrastructure as code. Familiarity with Kubernetes and EKS for container orchestration in the cloud. Experience with serverless architectures using AWS Lambda . Knowledge of message queues (e.g., SQS , Kafka ) and eventdriven architectures. Mandatory skill sets Cloud Engineer (Java, Spring Boot, Microservices, AWS) Preferred skill sets Cloud Engineer (Java, Spring Boot, Microservices, AWS) Years of experience required 3 8 years Education qualification BE/BTECH, ME/MTECH, MBA, MCA Education Degrees/Field of Study required Master of Engineering, Bachelor of Technology, Master of Business Administration, Bachelor of Engineering Degrees/Field of Study preferred Required Skills Full Stack Development Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 28 more} No
