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Location
In office (Bengaluru)
Employment
Full-Time

Confirmed on the employer's own hiring board on Sep 23, 2026. First seen by Alion on Sep 23, 2026. Weekday scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Weekday is an Indian recruitment company that sources software engineers through referrals from other engineers rather than through job advertisements or agency databases. Its model pays working engineers to vouch for former colleagues they rate, turning informal knowledge about who is genuinely good into a searchable candidate pool that companies can hire from. Based in Bengaluru and backed by Y Combinator, the platform has layered AI screening and outbound sourcing on top of that referral network, and sells to startups and technology companies hiring in the Indian market.

This role is for one of Weekday’s clients

Salary range: Rs 500000 - Rs 2500000 (ie INR 5 - 25 LPA)

Min Experience: 5+ years

Location: Bengaluru

JobType: full-time

We are looking for an experienced Python Developer with 5-8 years of hands-on experience in designing, developing, and maintaining scalable backend applications and APIs. The ideal candidate should have strong expertise in Python, FastAPI, and Kubernetes, along with a solid understanding of modern backend engineering practices, microservices, containerization, and cloud-native application development.

You will be responsible for building reliable and high-performance backend services, developing RESTful APIs, integrating third-party systems, and contributing to the architecture and deployment of scalable applications. The role requires strong problem-solving abilities and the ability to work closely with engineering, product, QA, and DevOps teams.

Requirements

Key Responsibilities

  • Design, develop, test, and maintain scalable backend applications using Python.
  • Build high-performance, secure, and maintainable REST APIs using FastAPI.
  • Develop and maintain microservices and backend components supporting business-critical applications.
  • Design efficient application architecture, data flows, and API integrations.
  • Deploy, manage, and troubleshoot containerized applications using Kubernetes.
  • Work with Docker and Kubernetes-based environments to ensure reliable application deployment and scalability.
  • Optimize backend services for performance, reliability, availability, and maintainability.
  • Integrate external APIs, databases, messaging systems, and other third-party services.
  • Implement appropriate logging, monitoring, error handling, and security practices.
  • Collaborate with frontend developers, QA engineers, DevOps teams, product managers, and other stakeholders to deliver high-quality solutions.
  • Participate in code reviews, technical discussions, architecture decisions, and engineering best practices.
  • Identify and resolve production issues and contribute to continuous improvement of backend systems.
  • Write clean, modular, reusable, and well-documented code.

Must-Have Skills

Python

  • Strong hands-on experience with Python development and object-oriented programming.
  • Excellent understanding of Python frameworks, libraries, data structures, exception handling, and asynchronous programming.
  • Experience building scalable and production-grade backend applications.

FastAPI

  • Strong experience developing RESTful APIs using FastAPI.
  • Understanding of API design, request validation, authentication, authorization, dependency injection, and asynchronous APIs.
  • Experience integrating FastAPI services with databases and external systems.

Kubernetes

  • Strong practical experience with Kubernetes for deploying and managing backend applications.
  • Understanding of Pods, Deployments, Services, ConfigMaps, Secrets, namespaces, scaling, and troubleshooting.
  • Experience working with containerized applications and cloud-native environments.

Good-to-Have Skills

  • Experience with pytest for unit testing, integration testing, mocking, and test automation.
  • Hands-on experience with Postman for API testing, validation, debugging, and documentation.
  • Familiarity with CI/CD pipelines, Docker, Git, and cloud platforms.
  • Understanding of microservices architecture, observability, logging, and monitoring tools.
  • Experience working with relational or NoSQL databases.
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