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Stryker

Staff Engineer - Full Stack Developer (Cloud)

Posted 17 Days Ago
Be an Early Applicant
Gurugram, Haryana
Senior level
Gurugram, Haryana
Senior level
Design and maintain scalable full-stack applications, collaborate across teams, troubleshoot software issues, and contribute to project planning and documentation.
The summary above was generated by AI
Work Flexibility: Hybrid

What You Will Do:

  • Design, develop, and maintain complex, high-performance, and scalable full-stack software applications
  • Collaborate with cross-functional teams, including data scientists, AI researchers, mobile app developers, and AI/ML engineers, to gather requirements, define project scope, and ensure alignment with business objectives and goals.
  • Contribute to the selection, evaluation, and implementation of software technologies, tools, and frameworks in a cloud-native (Azure) environment.
  • Troubleshoot and resolve complex software issues, ensuring optimal application performance and reliability
  • Assist in the planning and estimation of software development projects, ensuring the efficient allocation of resources and timely delivery of solutions.
  • Contribute to the development and maintenance of technical documentation, including design specifications, API documentation, and user guides.

What You Will Need:

Basic Qualification

  • Bachelor’s degree in computer science or engineering or equivalent work experience 
  •  A minimum of 8 years of experience in software development, with a focus on full-stack development.
  • Strong knowledge of multiple programming languages, such as JavaScript, Python, Java, or C#.
  •  Proven experience with front-end technologies and frameworks, such as React, Angular, or Vue.js.
  •  Solid understanding of back-end technologies and frameworks, such as Node.js, Django, or Spring Boot.
  •  Familiarity with database technologies, such as SQL, NoSQL, and ORM tools.

Preferred Qualification / Engineering tools:

  • Experience with Azure cloud platform, services, and best practices.
  • Knowledge of AI and machine learning concepts, technologies, and integration techniques.
  • Experience with version control systems, such as GitLab, and project management tools such as Jira or Azure DevOps.
  • Knowledge of CI/CD pipelines, containerization technologies like Docker and Kubernetes, and infrastructure-as-code tools such as Terraform or Azure Resource Manager (ARM) templates.

Travel Percentage: None

Top Skills

Angular
Azure Devops
Azure Resource Manager
C#
Django
Docker
Gitlab
Java
JavaScript
JIRA
Kubernetes
Node.js
NoSQL
Python
React
Spring Boot
SQL
Terraform
Vue

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