Senior AWS Backend Developer

Were Hiring: Senior AWS Backend Developer at Chryselys

Location:

About Us:

Chryselys

We specialize in digital technologies and advanced data science techniques that provide strategic and operational insights.

Who we are:

People -

Quality -

Technology

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.