Python Developer | Pune & Hyderabad | 9 to 12 Years

3 Minutes ago • 9-12 Years

Programming

Job Description

Capgemini is seeking an experienced Python Developer with 9-12 years of experience for roles in Pune and Hyderabad. The ideal candidate will have strong skills in Python/Node.js, REST API design, AWS serverless technologies (Lambda, Step Functions, API Gateway, DynamoDB/S3, IAM), and containerization with Docker and Kubernetes. Expertise in Infrastructure as Code (Terraform, AWS CDK, CloudFormation), security best practices, monitoring, CI/CD, and prompt engineering collaboration is essential. This permanent role requires a self-starter with excellent communication skills.

Good To Have:

Experience working with Amazon Bedrock, fine-tuning or deploying custom LLMs.
Familiarity with advanced AWS AI services (Opensearch, Sagemaker, Kendra).
Background in building event-driven architectures using EventBridge, SNS/SQS.
Knowledge of regulatory frameworks (GDPR, HIPAA) and implementing compliant data flows.
Exposure to service mesh (AWS App Mesh, Istio) or serverless container frameworks (Fargate).
Prior role in a multi-account AWS Organization with cross-account IAM and billing structures.

Must Have:

Proficient in Python and/or Node.js; strong REST API design and implementation skills.
Deep experience with AWS Lambda, Step Functions, API Gateway, DynamoDB/S3, and IAM.
Hands-on with Docker and EKS (or ECS); comfortable with Helm, K8s manifests, and cluster autoscaling.
Familiarity with the Model Context Protocol spec or similar LLM tool-invocation patterns.
Expert in Terraform, AWS CDK, or CloudFormation for defining and deploying AWS infrastructure.
Strong understanding of VPC networking, PrivateLink, security groups, WAF, Secrets Manager, and implementing least-privilege IAM policies.
Experience with CloudWatch (logs, dashboards, alarms), Kibana, or open-source tooling (Prometheus, Grafana).
Proficient setting up pipelines (GitHub Actions, Azure DevOps, or AWS CodePipeline) for automated testing and deployments.
Ability to translate AI/ML requirements into clear tool definitions and assist in iterative prompt tuning.
Python Development.
Gen AI.
AWS.

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github

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azure

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grafana

helm

node.js

ci-cd

docker

kubernetes

python

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Job Description

Software Development (5+ years): Proficient in Python and/or Node.js; strong REST API design and implementation skills.
AWS Serverless: Deep experience with AWS Lambda, Step Functions, API Gateway (or Lambda Function URLs), DynamoDB/S3, and IAM.
Container & Kubernetes: Hands-on with Docker and EKS (or ECS); comfortable with Helm, K8s manifests, and cluster autoscaling.
MCP or Agent Frameworks: Familiarity with the Model Context Protocol spec or similar LLM tool-invocation patterns; experience with Bedrock Agents or LangChain is a plus.
Infrastructure as Code: Expert in Terraform, AWS CDK, or CloudFormation for defining and deploying AWS infrastructure.
Security Best Practices: Strong understanding of VPC networking, PrivateLink, security groups, WAF, Secrets Manager, and implementing least-privilege IAM policies.
Monitoring & Observability: Experience with CloudWatch (logs, dashboards, alarms), Kibana, or open-source tooling (Prometheus, Grafana).
CI/CD & DevOps: Proficient setting up pipelines (GitHub Actions, Azure DevOps, or AWS CodePipeline) for automated testing and deployments.
Prompt Engineering Collaboration: Ability to translate AI/ML requirements into clear tool definitions and assist in iterative prompt tuning.

Mandatory Skills

Python Development
Gen AI
AWS

Secondary Skills

Experience working with Amazon Bedrock, fine-tuning or deploying custom LLMs.
Familiarity with advanced AWS AI services (Opensearch, Sagemaker, Kendra).
Background in building event-driven architectures using EventBridge, SNS/SQS.
Knowledge of regulatory frameworks (GDPR, HIPAA) and implementing compliant data flows.
Exposure to service mesh (AWS App Mesh, Istio) or serverless container frameworks (Fargate).
Prior role in a multi-account AWS Organization with cross-account IAM and billing structures.

Soft Skills

Excellent communicator, comfortable bridging technical teams (AI, Infra, Security).
Self-starter with strong ownership mentality—able to drive complex features end-to-end.
Analytical mindset to troubleshoot distributed, event-driven systems.
Able to mentor junior engineers and evangelize best practices for secure, scalable MCP deployments.

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