Design and deliver high-performance solutions using Java and Microservices. Lead architecture discussions, mentor teams, and drive AI adoption in SDLC.
Company Description
👋🏼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 (17700+ experts across 39 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!
Job DescriptionREQUIREMENTS:
- Total experience 9+ years
- Strong experience in Java, Spring Boot, and Microservices Architecture (MSA).
- Hands-on experience with Python, especially for AI/ML integration and automation.
- Strong experience with Microsoft Azure Artificial Intelligence and Machine Learning services.
- Proven experience in designing scalable, secure, and high-performance distributed systems.
- Experience with API design, event-driven architecture, and system integration patterns.
- Strong understanding of DevOps practices, CI/CD pipelines, and containerization (Docker/Kubernetes).
- Ability to drive AI adoption across the Software Development Life Cycle (SDLC) including code generation, automated reviews, and testing acceleration.
- Strong stakeholder management and experience working with cross-functional teams.
- Ability to translate business requirements into technical solutions and architecture.
RESPONSIBILITIES:
- Design and deliver scalable, secure, and high-performance solutions using Java and Microservices architecture.
- Lead architecture discussions and provide technical direction across teams.
- Drive adoption of AI capabilities within SDLC to improve engineering productivity and quality.
- Collaborate with cross-functional teams to translate business requirements into technical solutions.
- Ensure best practices in system design, coding standards, and DevOps integration.
- Mentor development teams and guide them on modern architecture and design patterns.
- Evaluate and implement emerging technologies aligned with organizational goals.
- Ensure robust API design, event-driven systems, and distributed architecture implementation.
- Oversee system performance, scalability, and reliability improvements.
- Work closely with stakeholders to ensure timely and high-quality delivery of solutions.
Bachelor’s or master’s degree in computer science, Information Technology, or a related fields
Top Skills
Artificial Intelligence
Docker
Java
Kubernetes
Machine Learning
Microservices Architecture
Azure
Python
Spring Boot
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