Role Summary:
We are seeking an experienced and highly skilled Python API AWS Engineer - GenAI to join our CodeInsight team. In this role, you will be responsible for designing, implementing, and maintaining cloud-based and event-driven solutions on AWS for large-scale documentation intelligence workflows. You will play a crucial role in improving system reliability, securing enterprise integrations, and ensuring scalable asynchronous processing across API, pipeline, and AI inference layers.

What you will do: (Roles & Responsibilities)
- Design and implement complex cloud-based solutions using AWS services (Lambda, S3, SQS FIFO, Step Functions, DynamoDB, Bedrock, Secrets Manager, SNS, CloudWatch, SageMaker)
- Build and maintain secure API and integration workflows for Jenkins, Bitbucket Server REST APIs, and internal operational tooling
- Design and optimize data models and access patterns, particularly for DynamoDB and S3 job artifact/state flows
- Collaborate with cross-functional teams (Product, DevOps, Security, platform teams) to deliver architecture-aligned solutions




- Ensure security, compliance, and best practices in cloud infrastructure (OAuth2, IAM least privilege, secrets management, TLS)
- Troubleshoot and resolve complex technical issues in distributed cloud environments (async job orchestration, retries, failure handling, network integration)
- Mentor junior engineers and contribute to engineering standards, design reviews, and team technical growth
- Stay up-to-date with AWS GenAI, serverless architecture, and enterprise integration best practices

What you need to succeed: (MUST Haves)
- Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience)
- 4-6 years of experience in cloud engineering, with a strong focus on AWS
- Strong hands-on experience with Python, AWS APIs, and backend service development
- Robust hands-on experience delivering GenAI/LLM solutions in production, with focus on AWS Bedrock

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