Interview process : Onsite (Plano, TX)
We are looking for a highly skilled Senior AWS Data / Backend Engineer with strong expertise in C#, AWS Lambda, AWS Glue , and distributed caching technologies. The ideal candidate will excel at building and optimizing high-performance cloud-native APIs and backend services in a fully AWS-based environment. This role focuses heavily on API scalability, performance tuning, and data pipeline optimization.
🔧 Key Responsibilities
- Design, develop, and optimize AWS Lambda functions in C# for low-latency, high-throughput workloads.
- Implement and manage distributed caching using Redis / ElastiCache or OpenSearch.
- Enhance and support AWS Glue ETL pipelines , data structures, and workflows.
- Architect scalable backend services using API Gateway, Lambda, S3, and Glue Catalog .
- Optimize data querying patterns across Aurora, DynamoDB, Redshift , or similar databases.
- Perform end-to-end performance profiling and bottleneck analysis across APIs and data pipelines.
- Improve observability with CloudWatch, X-Ray , and structured logging.
- Ensure all cloud solutions meet best practices for security, scalability, reliability, and cost efficiency .
- Collaborate with cross-functional teams to deliver high-performance APIs and backend systems.
✅ Required Skills & Experience
5+ years in backend engineering, cloud engineering, or data engineering.Strong expertise in C# / .NET with hands-on AWS Lambda experience.Experience implementing Redis / ElastiCache or OpenSearch caching layers .Hands-on with AWS Glue, Glue Catalog, ETL optimization, and data lakes .Strong knowledge of core AWS services : Lambda, API Gateway, S3, IAM, CloudWatch .Experience with cloud databases : Aurora, DynamoDB, Redshift .Strong understanding of data modeling, partitioning, and schema optimization .Excellent debugging, performance tuning, and problem-solving abilities.✨ Preferred Qualifications
Experience with event-driven architectures (Kinesis, Kafka, SNS, SQS).Familiarity with CI / CD pipelines and automated deployments .Knowledge of AWS cost optimization practices.Understanding of DevOps / SRE monitoring and high-availability concepts .