Tixy Tech
AWS Cloud Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior AWS Cloud Engineer in Plano, TX, with a contract length of "unknown" and a pay rate of "unknown." Requires 5+ years in backend/cloud/data engineering, expertise in C#, AWS Lambda, AWS Glue, and distributed caching technologies.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
November 26, 2025
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Plano, TX
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🧠 - Skills detailed
#AWS (Amazon Web Services) #DevOps #SNS (Simple Notification Service) #Redshift #C# #Logging #Debugging #Security #Observability #Data Modeling #Monitoring #Data Lake #Data Engineering #Data Pipeline #IAM (Identity and Access Management) #API (Application Programming Interface) #DynamoDB #Lambda (AWS Lambda) #Databases #.Net #SQS (Simple Queue Service) #AWS Lambda #AWS Glue #Kafka (Apache Kafka) #Redis #OpenSearch #Aurora #"ETL (Extract #Transform #Load)" #Scala #S3 (Amazon Simple Storage Service) #Deployment #Cloud
Role description
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.
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.
