Design, develop, and maintain Python backend services, RESTful APIs, and scalable microservices. Deploy and manage Azure cloud solutions, CI/CD pipelines, automated testing, Docker, and Kubernetes environments. Collaborate in Agile/Scrum teams through code reviews, planning, and architecture discussions. Apply database, data modeling, cloud architecture, scalability, security, and performance optimization knowledge, with potential work involving Databricks, Golang, React, infrastructure as code, and event-driven systems.
Description
- Design, develop, and maintain backend services using Python.
- Build and optimize RESTful APIs and microservices.
- Work with Microsoft Azure (priority) to design, deploy, and manage cloud solutions.(Experience with GCP is acceptable as an alternative.)
- Implement CI/CD pipelines and automated testing workflows.
- Work with Docker and Kubernetes in production environments.
- Collaborate in an Agile/Scrum team and participate in code reviews, planning, and architecture discussions.
Backend Developer
4 months contract
India, Remote
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Tasks:
Core Responsibilities of a Lead Backend Developer:
- Strong commercial experience as a Python Backend Developer (mid–senior level).
- Hands‑on experience with Azure (App Services, Functions, AKS, Storage, etc.).
- Experience with FastAPI and/or Django.
- Proven experience designing RESTful APIs and scalable microservice architectures.
- Solid understanding of CI/CD, automated testing, and deployment pipelines.
- Proficiency with Docker and Kubernetes in production.
- Comfortable working in English and collaborating in cross‑functional teams
- Strong knowledge of SQL/NoSQL databases and data modeling.
- Understanding of cloud architecture patterns, scalability, and performance optimization.
- Familiarity with unit, integration, and end‑to‑end testing practices.
- Proficiency with Git and collaborative development workflows.
- Awareness of security best practices in cloud and backend environments.
Must Have:
Additional Expected Skills:
What Will Set You Apart:
- Experience with Databricks or other big‑data/data engineering platforms.
- Commercial experience with Golang.
- Full‑stack skills, especially with React.
- Experience with Infrastructure as Code tools (Terraform, Bicep, ARM templates).
- Knowledge of event‑driven architectures and messaging systems (Kafka, Azure Service Bus, etc.).
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