Company
Weekday logo

Weekday

www.weekday.works
Location

In office: Gurgaon

  • 🇮🇳 India
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Backend Engineer

Description

**This role is for one of the Weekday's clients

** Min Experience: 1 years

Location: Gurgaon

JobType: full-time

We’re seeking a skilled Backend Engineer who is passionate about designing scalable APIs, deploying secure backend systems, and building robust DevOps pipelines. If you enjoy working with Django, cloud infrastructure, and fine-tuning application performance in production environments, this role is a great fit for you.

Requirements

Key Responsibilities

Backend Development & API Engineering

  • Design, develop, and maintain high-performance APIs using Django and Django Rest Framework (DRF).

  • Collaborate with AI/ML teams to deploy Python-based deep learning models via RESTful APIs.

  • Implement secure API access protocols such as JWT and OAuth.

  • Manage and optimize SQL (PostgreSQL, MySQL) and NoSQL (DynamoDB) databases.

DevOps & Infrastructure

  • Deploy and manage backend services using AWS components like EC2, S3, Lambda, RDS, and API Gateway.

  • Build and maintain CI/CD pipelines using GitHub Actions, Jenkins, or AWS CodePipeline.

  • Containerize and orchestrate applications using Docker and Kubernetes.

  • Use Infrastructure as Code tools such as Terraform or AWS CloudFormation to manage deployments.

Performance Optimization & Monitoring

  • Monitor system health and performance using tools like CloudWatch, Prometheus, and Grafana.

  • Enhance system efficiency with caching solutions like Redis or Memcached and effective load balancing.

  • Set up centralized logging and error tracking using tools like ELK Stack, Datadog, or Sentry.

  • Maintain secure and reliable infrastructure with well-defined IAM roles, VPC setups, and access policies.

Qualifications

  • Strong programming skills in Python with experience using Django and DRF.

  • Deep expertise in AWS services, DevOps practices, and CI/CD pipelines.

  • Proven experience with SQL/NoSQL databases and data security best practices.

  • Hands-on knowledge of containerization (Docker), orchestration (Kubernetes), and monitoring stacks.

  • Bonus: Experience with deploying AI/ML models using tools like TorchServe or TensorFlow Serving.

Technical Skills

Core Technologies: Python, Django, DRF, REST APIs, JWT, OAuth
Cloud & Infrastructure: AWS EC2, Lambda, S3, RDS, API Gateway, Terraform, CloudFormation
CI/CD Tools: Jenkins, GitHub Actions, AWS CodePipeline
Databases: PostgreSQL, MySQL, DynamoDB (NoSQL)
Containerization & Monitoring: Docker, Kubernetes, Redis, Memcached, Prometheus, Grafana, CloudWatch, ELK Stack, Sentry, Datadog