AWS Cloud & DevOps Engineer

Job Title: AWS Cloud & DevOps Engineer

Industry: Mobility / EV Tech 

Employment Type: Udyog Vihar Phase 4 - Gurgaon (Full-time | On-site)

Location: Gurgaon, Haryana

Experience: 3+ years

We are looking for a skilled AWS Cloud & DevOps Engineer with hands-on experience in designing and maintaining scalable cloud infrastructure. This role involves managing AWS services, automating deployments, implementing DevOps best practices, and reducing infrastructure costs. A strong background in serverless architecture using Lambda, API Gateway, and monitoring with CloudWatch is a major plus.

Key Responsibilities:

   Cloud Infrastructure & DevOps:

• Design, implement, and manage secure, scalable AWS infrastructure.
• Automate deployments and manage CI/CD pipelines using tools like GitHub Actions, CodePipeline, or Jenkins.
• Configure and monitor infrastructure with AWS CloudWatch, AWS Config, and Security Hub.
• Write and manage Infrastructure as Code using CloudFormation, CDK, or Terraform.
• Automate deployment for backend services on lambda functions and versioning setup

  Serverless Architecture (Core Area):

• Develop and maintain AWS Lambda functions integrated with API Gateway.
• Use AWS SQS, EventBridge, and SNS for decoupled architecture and event-driven flows.
• Handle logging, monitoring, and performance optimization using CloudWatch.
• Use MongoDB (Atlas) as the primary database for serverless applications.

  Security & Compliance:

• Enforce IAM best practices, including temporary credentials and least-privilege access.
• Enable monitoring tools like AWS CloudTrail and AWS Config for audit trails.
• Implement encryption for data at rest and in transit across AWS services.

  Cost Optimization & Reliability:

• Identify and eliminate unused AWS resources.
• Optimize Lambda function costs by tuning memory and timeout settings.
• Implement structured backup, disaster recovery, and high availability strategies
• Leverage AWS Savings Plans, Reserved Instances, and resource tagging for better cost tracking.

 Scalability & Performance:

• Configure auto-scaling policies for EC2, ECS, and Lambda workloads.
• Use caching tools like CloudFront to reduce latency and improve response time.
• Continuously refine application architecture for performance improvements.

Required Skills:       

- 3+ years of experience in AWS infrastructure.

       - Proficiency with Lambda, API Gateway, CloudWatch, IAM, and SQS.

       - Strong understanding of CI/CD pipelines and infrastructure automation

       - Experience with MongoDB (Atlas preferred), RDS

       - Hands-on with Docker and containerization (bonus if used with ECS/Fargate).

       - Solid scripting knowledge in Python, Node.js, or Bash

       - Familiarity with VPC networking, security groups, and WAF, WAR