Senior AWS Backend Developer

2 weeks ago

Hyderabad, India Chryselys Full time

Senior AWS Backend Developer.


Key Responsibilities:


• Design and Implement AWS-Based Solutions: Develop advanced applications using a range of AWS services including Lambda, EC2, S3, Glue, DynamoDB, and Redis, with a strong emphasis on leveraging AWS for AI or BIgData applications.


• Expertise in AWS Data Services: Utilize AWS data services such as S3 Data Lake, Lake Formation, AWS Glue, and AWS Comprehend to build robust data processing pipelines and storage solutions.


• Application Deployment and Management: Ensure scalable, highly available, and fault tolerant systems deployment on AWS, focusing on efficiency and reliability.


• API Development and Management: Build and maintain APIs for seamless integration between Generative AI services, AWS backend services like Opensearch/Elasticsearch, and other cloud services.


• Security and Compliance: Enforce security protocols and compliance measures using AWS IAM, KMS, AWS Macie, and AWS Shield to safeguard applications and data.


• Performance Optimization: Utilize AWS CloudWatch and application monitoring tools to ensure optimal application performance.


• Collaboration: Engage with ML Engineers, data scientists, and other stakeholders to convert business requirements into scalable cloud solutions.


Qualifications :


• Bachelor’s or Master’s degree in computer science, Engineering, or related field. 6-9 years of software development experience, with a significant focus on AWS cloud services and data-driven applications.


• Expertise in programming languages like Python, Java, or Node.js, and a solid understanding of AWS core services, data services, and best practices.


• Demonstrated experience with IaC, CI/CD, and AWS Generative AI services integration.


• Knowledge of AWS data services (S3, Glue, DynamoDB, Redis, Opensearch/ElasticSearch, Comprehend, Lake Formation) is crucial.


• AWS Certified Solutions Architect or AWS Certified Developer credentials preferred. • Strong analytical, problem-solving, and communication skills.


• Infrastructure as Code (IaC): Leverage AWS CloudFormation or Terraform for infrastructure definition and deployment, promoting automation and best practices.


• CI/CD Pipelines: Implement CI/CD pipelines using tools like Jenkins or AWS CodePipeline for automated testing, building, and deployment processes.

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