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Python API AWS Engineer GenAI

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Tech Mahindra

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Location:
India , Noida

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

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.

Job Responsibility:

  • 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
  • Write, test, and maintain high quality Python code for cloud native and serverless applications
  • 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

Requirements:

  • 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
  • Strong hands on experience delivering GenAI/LLM solutions in production, with focus on AWS Bedrock
  • Strong knowledge of database systems, particularly DynamoDB and cloud data design patterns
  • Hands on experience in AWS services used by this platform (Lambda, Step Functions, S3, SQS, DynamoDB, Bedrock, Secrets Manager, CloudWatch)
  • Proven expertise in prompt engineering, LLM output validation, and reliability patterns (retries, guardrails, fallback handling)
  • Strong understanding of event driven and asynchronous architectures, including idempotency, retries, and queue based decoupling
  • Proven experience with REST API integrations in enterprise environments (Bitbucket/Jenkins like integrations preferred)
  • Excellent problem solving and analytical skills
  • Strong communication and collaboration abilities

Nice to have:

  • Experience with containerization technologies (for example, Docker, Kubernetes)
  • Knowledge of CI/CD pipelines, Terraform, and DevOps practices
  • Familiarity with serverless architectures and microservices
  • Experience with observability and operations (CloudWatch logging, alerts, dashboards, structured audit trails)
  • Understanding of machine learning and AI concepts, including prompt quality and LLM output validation
  • Experience with AWS Bedrock integration patterns in production use cases
  • AWS certifications (for example, Solutions Architect, Developer, DevOps Engineer) are a plus
  • Experience mentoring junior engineers or leading small teams
  • Strong project management skills and ability to manage multiple priorities across DEV, SIT, and PROD environments

Additional Information:

Job Posted:
May 16, 2026

Expiration:
June 09, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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