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Full stack architect

8 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

Key Responsibilities:

  • Design, develop, and oversee scalable, secure, and high-performing full-stack architectures for web and mobile applications.
  • Lead and mentor engineering teams, ensuring adherence to best practices in coding, design, and deployment.
  • Collaborate with product managers, designers, and stakeholders to align technical solutions with business goals.
  • Drive the adoption of new technologies and frameworks to enhance system capabilities.
  • Define and implement API strategies, microservices architectures, and integration solutions.
  • Optimize performance and scalability of the system across the entire stack.
  • Ensure system security by implementing industry-standard authentication, authorization, and data protection mechanisms.
  • Conduct code reviews, identify technical debt, and drive initiatives for improvement.
  • Oversee CI/CD pipelines, DevOps practices, and cloud deployments.
  • Stay updated on emerging technologies, tools, and best practices to maintain competitive edge.


Required Skills & Qualifications:

  • Bachelor’s or master’s degree in computer science, Engineering, or a related field.
  • 8+ years of experience in software development with a focus on full-stack architecture.
  • Proficiency in front-end technologies: HTML5, CSS3, JavaScript, React, Angular, or Vue.js.
  • Expertise in back-end technologies: Node.js, Python, Java, or .NET, and frameworks like Spring Boot or Django.
  • Strong knowledge of databases: relational (MySQL, PostgreSQL) and NoSQL (MongoDB, Cassandra).
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Hands-on experience with microservices, serverless architectures, and containerization (Docker, Kubernetes).
  • Proficiency in RESTful API design and GraphQL.
  • Knowledge of DevOps practices, CI/CD pipelines, and version control systems like Git.
  • Exceptional problem-solving and communication skills.


Preferred Qualifications:

  • Experience with AI/ML integrations in web applications.
  • Familiarity with real-time data processing and streaming solutions.
  • Certification in cloud platforms or relevant technologies.
  • Experience working in Agile/Scrum development environments.

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