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Backend Engineer

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Vizag, Andhra Pradesh, India Miracle Software Systems, Inc Full time ₹ 18,00,000 - ₹ 25,00,000 per year

Strictly looking for min 6+ Years of relevant experience - NOT INTERNS (or) Freshers.

Role: Backend Engineer (Python)

Exp: 6-9+ Years

Location: Visakhapatnam

Mode: Permanent

Skills:
Python, FastAPI, GCP, DevOps

Description:

We are seeking a highly skilled Backend Engineer to design and develop scalable Generative AI solutions on Google Cloud Platform (GCP). The ideal candidate will have strong expertise in Python, FastAPI, and Test-Driven Development (TDD), along with hands-on experience in deploying AI-driven products in cloud-native environments.

Responsibilities:

  • Design, build, and optimize backend services and APIs using Python and FastAPI.
  • Work with software and ML engineers to design and deploy Agentic AI solutions.
  • Develop and manage infrastructure using Infrastructure as Code (IaC) tools for development, staging, and production environments.
  • Maintain and improve CI/CD pipelines, automating deployment and release processes.
  • Inspect, debug, and optimize application code, APIs, and infrastructure configurations.
  • Implement strong testing practices using TDD and ensure high-quality, maintainable code.
  • Collaborate with cross-functional teams to standardize and enhance cloud-native development practices.
  • Continuously research, experiment, and introduce modern tools and techniques for backend and AI development.

Required Qualifications:

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 5-8 years of backend development experience, with strong proficiency in Python and FastAPI.
  • Hands-on experience with Google Cloud Platform (GCP), including deployments, IAM, and monitoring.
  • Proven experience in Test-Driven Development (TDD) and automated testing frameworks.
  • Strong understanding of CI/CD pipelines, DevOps principles, and IaC tools (Terraform, Cloud Build, etc.).
  • Experience integrating AI/ML models or APIs into production systems.
  • Good understanding of microservices architecture, RESTful APIs, and containerization (Docker, Kubernetes).
  • Strong debugging, problem-solving, and analytical skills.
  • Excellent collaboration and communication abilities with a product-focused mindset.

Preferred Qualifications:

Experience working on Generative AI or Agentic AI projects.

Familiarity with Vertex AI, LangChain, or similar frameworks.

Exposure to event-driven architectures and asynchronous processing.

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