Technologies / Frameworks
CORE/FUNDAMENTAL (MUST HAVE ALL OF THEM):
- Python
- Python backend services: development, APIs, deployment and scaling
- Python FastAPI and asynchronous programming
- Cloud technologies: AWS (primary), Azure
- AWS Sagemaker Endpoints (development, deployment, scaling)
- Python unit testing (pytest)
- Git
- AWS Data on S3 and data formats (e.g., parquet, json, csv)
- Postgresql/SQL
- Pandas
MEDIUM (SHOULD HAVE MOST OF THEM):
- Large language models (e.g., OpenAI, Anthropic, Google)
- Load testing frameworks (e.g., locust, jmeter)
- AWS Sagemaker Pipelines (end-to-end ML workflows)
- AWS Athena
- AWS S3 (bucket policies), IAM roles (policies)
- Splunk
- AWS Secrets manager and parameter store
- AWS EMR (Pyspark-based ETL)
- Docker
- Kubernetes
- Terraform
- Solr/Search Engine querying
- Redis
NICE TO HAVE (if not already, must be willing to learn):
- LangGraph/LangChain
- AWS Kinesis (live structured log ingestion to s3)
- AWS SQS
- AWS Glue (data catalog, crawlers)
- AWS Quicksight
- SonarQube
- Jenkins/groovy
- Argo CICD
- Snyk
Pay: ₹50,000.00 - ₹100,000.00 per month
Work Location: In person
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