Senior Staff Engineer (Cloud)

👋🏼We're Nagarro

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17500 experts across 36 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

Requirements:

• Experience : 7.5 Years+
• Extensive expertise in Microsoft Azure and AWS for enterprise workloads
• Comprehensive hands-on knowledge of AI services on Azure (Azure Cognitive Services, Azure Machine Learning, Azure OpenAI, Azure Bot Services) and AWS (Amazon SageMaker, AWS Lambda for AI, Amazon Recognition, Amazon Comprehend, Lex, Polly, and Translate)
• Demonstrated ability to design, implement, and operationalize AI/ML solutions leveraging cloud-native services, including model training, deployment, and MLOps pipelines
• Proficient in integrating AI capabilities—such as computer vision, speech recognition, natural language processing, and conversational AI—into enterprise applications using both Azure and AWS platforms
• Skilled at evaluating and selecting appropriate AI services to address specific business needs, ensuring scalability, security, and compliance
• Experienced in managing data pipelines for AI workloads, including data ingestion, preparation, and feature engineering across hybrid and multi-cloud environments
• In-depth knowledge of Azure certifications (AZ-900, AZ-104, AZ-305, AZ-500) and AWS Solutions Architect
• Experienced in cloud architecture design, migration, and modernization
• Skilled with IaC tools: Terraform, ARM templates, AWS CloudFormation
• Proficient in CI/CD pipeline integration and automated deployments
• Strong foundation in on-premises data center and hybrid cloud integration
• Experienced in network architecture: F5 load balancers, firewalls, VPNs, routing
• Designs high availability, disaster recovery, and scalability solutions
• Advanced understanding of cloud security, IAM, and encryption
• Familiar with compliance frameworks and risk management
• Experience using monitoring/observability tools for cloud health
• Skilled in cost optimization, tagging, and governance
• Troubleshoots complex cloud/network issues in hybrid setups
• Knowledgeable in containerization/orchestration (Docker, Kubernetes)
• Experienced in performance tuning and capacity planning
• Able to apply DevOps practices and collaborate with app teams
• Over 10 years in infrastructure/cloud engineering, including 8+ years in cloud architecture leadership
• Excellent problem-solving, ownership

Responsibilities:

• Writing and reviewing great quality code
• Understanding the client's business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements
• Mapping decisions with requirements and be able to translate the same to developers
• Identifying different solutions and being able to narrow down the best option that meets the clients' requirements
• Defining guidelines and benchmarks for NFR considerations during project implementation
• Writing and reviewing design documents explaining overall architecture, framework, and high-level design of the application for the developers
• Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed
• Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it
• Understanding and relating technology integration scenarios and applying these learnings in projects
• Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken
• Carrying out POCs to make sure that suggested design/technologies meet the requirements.

Bachelor’s or master’s degree in computer science, Information Technology, or a related field.