Key Responsibilities
- Develop and maintain backend microservices using Python
- Build and deploy cloud-native applications leveraging AWS services
- Develop event-driven and serverless architectures using AWS managed services
- Implement secure scalable and highly available solutions
- Integrate AWS services such as S3 Glue Lambda SNS SQS Step Functions EventBridge API Gateway Load Balancers and Aurora DB
- Implement IAM KMS and security best practices
- Build and manage data pipelines and integrations with Databricks
- Implement application logging monitoring and alerting using tools such as Splunk Dynatrace and CloudWatch
- Collaborate with cross-functional teams including data engineers DevOps and product teams
- Participate in code reviews architecture discussions and performance tuning
Required Skills & Qualifications
- Strong proficiency in Python for backend development
- Solid experience with AWS cloud services including:
- S3 Glue IAM KMS
- Lambda SNS SQS
- Step Functions EventBridge
- API Gateway Load Balancers
- Aurora DB
- CloudWatch
- Experience designing and developing microservices architectures
- Strong understanding of serverless and event-driven systems
- Experience with Databricks and large-scale data processing
- Hands-on experience with logging monitoring and observability tools (Splunk Dynatrace etc.)
- Strong understanding of data lake concepts
Nice to Have
- Experience working with Snowflake
Key Responsibilities Develop and maintain backend microservices using Python Build and deploy cloud-native applications leveraging AWS services Develop event-driven and serverless architectures using AWS managed services Implement secure scalable and highly available solutions Integrate AWS service...
Key Responsibilities
- Develop and maintain backend microservices using Python
- Build and deploy cloud-native applications leveraging AWS services
- Develop event-driven and serverless architectures using AWS managed services
- Implement secure scalable and highly available solutions
- Integrate AWS services such as S3 Glue Lambda SNS SQS Step Functions EventBridge API Gateway Load Balancers and Aurora DB
- Implement IAM KMS and security best practices
- Build and manage data pipelines and integrations with Databricks
- Implement application logging monitoring and alerting using tools such as Splunk Dynatrace and CloudWatch
- Collaborate with cross-functional teams including data engineers DevOps and product teams
- Participate in code reviews architecture discussions and performance tuning
Required Skills & Qualifications
- Strong proficiency in Python for backend development
- Solid experience with AWS cloud services including:
- S3 Glue IAM KMS
- Lambda SNS SQS
- Step Functions EventBridge
- API Gateway Load Balancers
- Aurora DB
- CloudWatch
- Experience designing and developing microservices architectures
- Strong understanding of serverless and event-driven systems
- Experience with Databricks and large-scale data processing
- Hands-on experience with logging monitoring and observability tools (Splunk Dynatrace etc.)
- Strong understanding of data lake concepts
Nice to Have
- Experience working with Snowflake
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