MindBrain

Hot0 days ago

Python Developer with AWS Expertise

MindBrain
6 to 10 Yrs
  • Regular
  • Job Details

Job Details

    Job Title: Python Developer with AWS Expertise (6+ Years) Location: Pan India Type: Full-time Experience: 6+ Years Key Responsibilities: Design and Development: Develop, test, and maintain scalable and high-performance applications using Python. Write efficient, reusable, and modular code using Python frameworks (e.g., Flask, Django). AWS Cloud Solutions: Design and implement cloud-based solutions leveraging AWS services like EC2, S3, Lambda, RDS, DynamoDB, CloudFormation, and others. Automate infrastructure management using AWS tools such as CloudFormation, CDK, or Terraform. Implement serverless architectures using AWS Lambda, API Gateway, and Step Functions. DevOps and CI/CD: Setup and maintain CI/CD pipelines using tools like Jenkins, GitLab CI, or AWS Code Pipeline. Automate deployment processes, monitoring, and logging of AWS services using CloudWatch, CloudTrail, or similar tools. Database Management: Design and manage relational and NoSQL databases such as MySQL, PostgreSQL, DynamoDB, and Redis on AWS. Security and Compliance: Implement security best practices in AWS including IAM roles, VPC, security groups, and encryption. Ensure compliance with data security policies and best practices for AWS cloud applications. Collaboration and Communication: Collaborate with cross-functional teams including product managers, QA, and front-end developers. Translate business requirements into technical solutions. Troubleshoot, optimize, and maintain both new and existing applications. Required Skills and Qualifications: 6+ years of experience in Python development with a focus on back-end technologies. Strong hands-on experience with AWS services including EC2, S3, Lambda, RDS, DynamoDB, and API Gateway. Experience with Python frameworks such as Django or Flask. Experience in designing RESTful APIs and microservices architecture. Strong understanding of AWS architecture and security best practices. Experience with CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes). Proficient in relational and NoSQL databases (MySQL, PostgreSQL, DynamoDB, etc.). Familiarity with Infrastructure as Code (IaC) tools such as AWS CloudFormation or Terraform. Strong understanding of version control (Git) and collaborative coding practices. Familiarity with Agile methodologies. Preferred Qualifications: AWS Certified Developer, AWS Certified Solutions Architect, or AWS Certified DevOps Engineer. Experience with serverless architectures and event-driven systems. Strong knowledge of networking concepts, VPC design, and cloud cost optimization. Experience with machine learning or data pipelines using AWS services like Sage Maker, Glue, or EMR. Soft Skills: Excellent communication and collaboration skills. Problem-solving attitude with a focus on delivering business value. Ability to work independently and in a fast-paced environment.,

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  • MindBrain
  • Delhi
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MindBrain

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