drjobs Backend Engineer

Backend Engineer

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1 Vacancy
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Job Location drjobs

Pune - India

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Key Responsibilities

  • Collaborate Across Teams: Partner with product managers architects and global colleagues to design and deliver backend solutions that address complex challenges in the clinical trials domain.
  • Design and Implement Scalable Systems: Translate business problems into technical solutions validate designs with architects and develop highquality scalable backend systems that meet performance and reliability goals.
  • Champion Best Practices: Apply agile methodologies promote testdriven development and integrate QA into the development lifecycle to ensure robust welltested and maintainable code.
  • Deliver Impactful Products: Work closely with product teams to deliver backend systems that drive customer success and exceed expectations.
  • Mentor and Lead: Guide and support team members through task planning and prioritization fostering a collaborative and highperforming development environment.
  • Innovate and Optimize: Continuously improve processes adopt new technologies and explore innovative approaches to enhance system performance and team productivity.

Qualifications

Education

  • Bachelors or Masters degree in Computer Science MIS IT or a related field or equivalent professional experience.

Experience

  • 8 years of experience delivering enterprisegrade SaaS solutions with a focus on building scalable productionready systems.
  • 3 years working with cloud technologies big data solutions and data analytics at scale.

Technical Skills

  • Deep expertise in cloud platforms (e.g. AWS Azure GCP) including cloudnative services and tools.
  • Proficiency in backend programming languages such as Python Java or Node.js.
  • Strong knowledge of database systems (SQL NoSQL Graph) and data integration techniques.
  • Handson experience with API design microservices architecture and containerization technologies (e.g. Docker Kubernetes).
  • Familiarity with data visualization tools and modern data engineering pipelines is a plus.

Employment Type

Full Time

Company Industry

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