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System Architect (Microservices, Python)

Apna Mart

Apna Mart

Software Engineering, IT
Bengaluru, Karnataka, India
Posted on Thursday, May 30, 2024
Role & Responsibilities

  • Design and architect the backend infrastructure using microservices for our products
  • Define system architecture, including data models, APIs, and integration points.
  • Ensure scalability, performance, and reliability of backend systems.
  • Collaborate with product managers, frontend developers, and other stakeholders to translate business requirements into technical specifications.
  • Oversee the development and implementation of new features and system improvements.
  • Conduct code reviews and mentor junior developers to maintain high code quality standards.
  • Implement best practices for security, data protection, and compliance.
  • Monitor system performance and troubleshoot issues to ensure smooth operation.
  • Stay up-to-date with the latest industry trends and technologies to drive innovation.

Ideal Candidate

  • Bachelor's degree in Computer Science, Software Engineering, or a related field.
  • 3-5 years of professional experience in backend development, preferably in a similar industry
  • Strong proficiency in Python and Django web framework.
  • Experience with databases such as PostgreSQL and MongoDB, including data modeling, query optimization, and performance tuning.
  • Familiarity with caching technologies like Redis and search engines like Elasticsearch.
  • Hands-on experience with message brokers and task queues, such as Celery.
  • Knowledge of RESTful APIs and experience in building and consuming them.
  • Solid understanding of software development principles, design patterns, and best practices.
  • Experience with version control systems, preferably Git.
  • Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
  • Self-motivated and proactive, with a strong sense of ownership and accountability.

Bonus Skills -

  • Prior experience working in a startup or fast-paced environment.
  • Experience with cloud platforms such as GCP/AWS/Azure
  • Knowledge of containerization technologies like Docker and tools like Kubernetes.
  • Exposure to CI/CD pipelines and automated testing frameworks.