Python & React Engineer

👋🏼 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 (18,500+ experts across 36 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in!

By this point in your career, it is not just about the tech you know or how well you can code. It is about what more you want to do with that knowledge. Can you help your teammates proceed in the right direction? Can you tackle the challenges our clients face while always looking to take our solutions one step further to succeed at an even higher level? Yes? You may be ready to join us.

Seeking a highly skilled Senior Full-Stack Engineer to join our team. The ideal candidate should have a blend of frontend and backend experience, with a strong proficiency Python/FastAPI, Typescript/React, Google Cloud/ Terraform/ Kubernetes & interest in healthcare and life sciences.

Responsiblities: 

• Actively contribute to the development of software applications.
• Write complex code, conduct code reviews, and establish coding standards for the team.
• Work closely with product managers, designers, and other developers.
• Ensure that requirements are well-understood and implemented correctly.
• Engage with clients to understand their needs and provide technical support.

• Minimum of 5 years of experience with Python and React
• Python/FastAPI, Typescript/React, Google Cloud/ Terraform/ Kubernetes.
• Proven track record of delivering high-quality software solutions.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills and ability to work in a team environment.
• Previous experience in the healthcare or life sciences industry is highly desired.

• Knowledge of healthcare standards such as DICOM, HL7, FHIR would be a plus
• Familiarity with medical ontologies like ICD-10, SNOMED, etc

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