Backend Engineer

Gurugram, Haryana, India

Full Time Mid-level / Intermediate USD 62K - 117K * ^est.

Weekday

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Posted 2 weeks ago

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