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
Never miss an opportunity! Create an alert based on the job you applied for.
