Backend Engineer
Gurugram, Haryana, India
- Remote-first
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- @weekdayworks 𝕏
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Weekday
At Weekday, we help companies hire engineers who are vouched by other software engineers. We are enabling engineers to earn passive income by leveraging & monetizing the unused information in their head about the best people they have worked...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
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs AWS CI/CD CloudFormation Deep Learning DevOps Django Docker DynamoDB EC2 ELK Engineering GitHub Grafana Jenkins Kubernetes Lambda Machine Learning ML models MySQL NoSQL Pipelines PostgreSQL Python Security SQL TensorFlow Terraform
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