Offer summary

Qualifications:

Proficiency in Python and familiarity with frameworks like Flask or FastAPI., Hands-on experience with AWS services including Lambda, SQS, and Comprehend., Understanding of generative AI frameworks such as Bedrock is preferred., Minimum of 8-10 years in software development with at least 2 years in AWS..

Key responsabilities:

Design and develop scalable applications and microservices using Python and AWS Lambda.

Integrate AWS services for message queuing and generative AI capabilities.

Implement NLP solutions for text analysis and entity recognition.

Collaborate with cross-functional teams to deliver end-to-end solutions.

Job description

Sr. Python Engineer w/AWS-Bedrock. Lambda, SQS
100% Remote-Prefers CST or EST maybe Mountain Time
6+ month contract with extension

We are seeking a skilled Python Engineer with strong experience in AWS services to join our dynamic team. You will design, develop, and maintain robust applications leveraging AWS tools, including SQS, Bedrock, Comprehend, and Lambdas. This role is ideal for someone passionate about cloud-based technologies and natural language processing (NLP).

Key Responsibilities:
Design and Development:

Build scalable applications and microservices using Python and AWS Lambda.
Integrate AWS services, including SQS for message queuing, and Bedrock for generative AI capabilities.
Implement NLP solutions using Amazon Comprehend for text analysis and entity recognition.

Architecture and Infrastructure:

Develop and maintain infrastructure as code using AWS CloudFormation or Terraform.
Optimize the use of AWS services to ensure cost efficiency and scalability.
Ensure security best practices in data handling and storage.

Testing and Maintenance:

Write unit and integration tests for Python-based systems.
Monitor, debug, and optimize applications in a production environment.
Create clear documentation for applications and workflows.

Collaboration:

Work closely with cross-functional teams, including data scientists and product managers, to deliver end-to-end solutions.
Participate in code reviews, architecture discussions, and knowledge-sharing sessions.

Qualifications:
Required Skills:

Proficiency in Python and familiarity with Python frameworks like Flask or FastAPI.
Hands-on experience with AWS Lambda, SQS, and Comprehend.
Understanding of Bedrock for generative AI (preferred) or similar AI frameworks.
Knowledge of event-driven architecture and asynchronous programming.

Experience:

Minimum of 8-10 years in software development, with at least 2 years working with AWS services.
Experience with containerization (Docker) and orchestration (Kubernetes or AWS ECS/EKS) is a plus.

Required profile