Senior Software Engineer- Python developer

. Over 5+ years of experience in development of AWS, SQS, Glue, python, pyspark, dynamic frame, dataframe

. Demonstrated competency with the following AWS services: ECS, EC2, ECR, S3, RDS, VPC, IAM, QuickSight, CloudFront, CloudFormation, CloudWatch, SQS, ElastiCache, Lambda, Glue ETL , Dynamodb , Neptune , route53 , Application Load balancers , ECS , SQS

. Strong knowledge on developing code using terraform (IAAC) tool

. Experienced in using GIT SCM tool

. Good hands on experience on using jenkins(or) Gitlab CI tool, worked as admin or developer depending on day to day scenarios

. Good hands on experience on containerization tools like docker,kubernetes

. Strong experience on handling containers,pods,clusters in a robust environments

. Strong Data Engineering background with the ability to implement Spark based or AWS Lambda based or glue based ETL jobs Knowledge of operating system administration

. Comprehensive knowledge regarding contemporary processes and methodologies for development and operations

. Strong understanding of how to secure AWS environments and meet compliance requirements

. AWS Disaster Recovery design and deployment across regions a plus

. Experience with multi-tier architectures: load balancers, caching, web servers, application servers, databases, and networking

. Great communication and interpersonal skills

Main location: Hyd/chennai/Bangalore

• Design, develop, and maintain scalable ETL pipelines using AWS Glue, Python, and PySpark
• Build data ingestion and transformation workflows leveraging DynamicFrame/DataFrame APIs
• Develop serverless and event-driven solutions using AWS Lambda and SQS
• Manage data storage solutions using S3, DynamoDB, and RDS with secure IAM governance
• Deploy and automate cloud infrastructure using Terraform (IaC) and CI/CD tools
• Containerize and orchestrate applications using Docker and Kubernetes for robust execution environments
• Monitor system performance, troubleshoot production issues, and optimize data workflows
• Collaborate with cross-functional teams to deliver high-quality cloud data solutions
• Apply AWS security best practices and compliance guidelines in production environments
• Support multi-tier architectures across application, data, and networking layers

Must to Have:

• 5+ years of hands-on experience with AWS Cloud services such as Glue, SQS, Lambda, S3, DynamoDB, EC2, VPC, IAM.Strong development experience in Python and PySpark for ETL workloads.
• Expertise in DynamicFrame and DataFrame-based data processing in Glue.
• Hands-on experience with Terraform for infrastructure automation.Proficiency with CI/CD and version control tools: Git, Jenkins, or GitLab CI.
• Strong fundamentals in Linux/OS administration and cloud networking.Good knowledge of Docker/Kubernetes and containerized deployments.
• Solid understanding of cloud security and operational best practices.

Good to Have:

• Experience with AWS Neptune, QuickSight, and CloudFront.Knowledge of AWS Disaster Recovery strategies and multi-region high availability.
• Familiarity with Step Functions, EventBridge, and microservices design patterns.
• Experience managing load balancing, caching, and distributed architectures.
• AWS Certifications (Developer, Solutions Architect, DevOps Engineer).
• Strong communication, problem-solving, and collaboration skills.

• Python