151 to 175 of 915 Remote/Hybrid AWS Lambda Jobs

Record: 8+ years building and operating production systems, with real ownership of something significant. Python Depth: Strong Python in a serverless or service context - AWS Lambda, container images, dependency and runtime management, multi-stage job orchestration. Infrastructure as Code: Hands-on Terraform. You've stood up a production … changes across a large Rails codebase, even if it's not where you've spent the most time. Cloud Native: Deep AWS across Lambda, S3, SQS, Kinesis, EventBridge, DynamoDB, Aurora/RDS, Redshift, and IAM. ML in Production: You've kept models serving correctly over time - versioning, dependency ...

Record: 8+ years building and operating production systems, with real ownership of something significant. Python Depth: Strong Python in a serverless or service context - AWS Lambda, container images, dependency and runtime management, multi-stage job orchestration. Infrastructure as Code: Hands-on Terraform. You've stood up a production … changes across a large Rails codebase, even if it's not where you've spent the most time. Cloud Native: Deep AWS across Lambda, S3, SQS, Kinesis, EventBridge, DynamoDB, Aurora/RDS, Redshift, and IAM. ML in Production: You've kept models serving correctly over time - versioning, dependency ...

Record: 8+ years building and operating production systems, with real ownership of something significant. Python Depth: Strong Python in a serverless or service context - AWS Lambda, container images, dependency and runtime management, multi-stage job orchestration. Infrastructure as Code: Hands-on Terraform. You've stood up a production … changes across a large Rails codebase, even if it's not where you've spent the most time. Cloud Native: Deep AWS across Lambda, S3, SQS, Kinesis, EventBridge, DynamoDB, Aurora/RDS, Redshift, and IAM. ML in Production: You've kept models serving correctly over time - versioning, dependency ...

Record: 8+ years building and operating production systems, with real ownership of something significant. Python Depth: Strong Python in a serverless or service context - AWS Lambda, container images, dependency and runtime management, multi-stage job orchestration. Infrastructure as Code: Hands-on Terraform. You've stood up a production … changes across a large Rails codebase, even if it's not where you've spent the most time. Cloud Native: Deep AWS across Lambda, S3, SQS, Kinesis, EventBridge, DynamoDB, Aurora/RDS, Redshift, and IAM. ML in Production: You've kept models serving correctly over time - versioning, dependency ...

Record: 8+ years building and operating production systems, with real ownership of something significant. Python Depth: Strong Python in a serverless or service context - AWS Lambda, container images, dependency and runtime management, multi-stage job orchestration. Infrastructure as Code: Hands-on Terraform. You've stood up a production … changes across a large Rails codebase, even if it's not where you've spent the most time. Cloud Native: Deep AWS across Lambda, S3, SQS, Kinesis, EventBridge, DynamoDB, Aurora/RDS, Redshift, and IAM. ML in Production: You've kept models serving correctly over time - versioning, dependency ...

Record: 8+ years building and operating production systems, with real ownership of something significant. Python Depth: Strong Python in a serverless or service context - AWS Lambda, container images, dependency and runtime management, multi-stage job orchestration. Infrastructure as Code: Hands-on Terraform. You've stood up a production … changes across a large Rails codebase, even if it's not where you've spent the most time. Cloud Native: Deep AWS across Lambda, S3, SQS, Kinesis, EventBridge, DynamoDB, Aurora/RDS, Redshift, and IAM. ML in Production: You've kept models serving correctly over time - versioning, dependency ...

Record: 8+ years building and operating production systems, with real ownership of something significant. Python Depth: Strong Python in a serverless or service context - AWS Lambda, container images, dependency and runtime management, multi-stage job orchestration. Infrastructure as Code: Hands-on Terraform. You've stood up a production … changes across a large Rails codebase, even if it's not where you've spent the most time. Cloud Native: Deep AWS across Lambda, S3, SQS, Kinesis, EventBridge, DynamoDB, Aurora/RDS, Redshift, and IAM. ML in Production: You've kept models serving correctly over time - versioning, dependency ...

Record: 8+ years building and operating production systems, with real ownership of something significant. Python Depth: Strong Python in a serverless or service context - AWS Lambda, container images, dependency and runtime management, multi-stage job orchestration. Infrastructure as Code: Hands-on Terraform. You've stood up a production … changes across a large Rails codebase, even if it's not where you've spent the most time. Cloud Native: Deep AWS across Lambda, S3, SQS, Kinesis, EventBridge, DynamoDB, Aurora/RDS, Redshift, and IAM. ML in Production: You've kept models serving correctly over time - versioning, dependency ...

Record: 8+ years building and operating production systems, with real ownership of something significant. Python Depth: Strong Python in a serverless or service context - AWS Lambda, container images, dependency and runtime management, multi-stage job orchestration. Infrastructure as Code: Hands-on Terraform. You've stood up a production … changes across a large Rails codebase, even if it's not where you've spent the most time. Cloud Native: Deep AWS across Lambda, S3, SQS, Kinesis, EventBridge, DynamoDB, Aurora/RDS, Redshift, and IAM. ML in Production: You've kept models serving correctly over time - versioning, dependency ...

Record: 8+ years building and operating production systems, with real ownership of something significant. Python Depth: Strong Python in a serverless or service context - AWS Lambda, container images, dependency and runtime management, multi-stage job orchestration. Infrastructure as Code: Hands-on Terraform. You've stood up a production … changes across a large Rails codebase, even if it's not where you've spent the most time. Cloud Native: Deep AWS across Lambda, S3, SQS, Kinesis, EventBridge, DynamoDB, Aurora/RDS, Redshift, and IAM. ML in Production: You've kept models serving correctly over time - versioning, dependency ...

Record: 8+ years building and operating production systems, with real ownership of something significant. Python Depth: Strong Python in a serverless or service context - AWS Lambda, container images, dependency and runtime management, multi-stage job orchestration. Infrastructure as Code: Hands-on Terraform. You've stood up a production … changes across a large Rails codebase, even if it's not where you've spent the most time. Cloud Native: Deep AWS across Lambda, S3, SQS, Kinesis, EventBridge, DynamoDB, Aurora/RDS, Redshift, and IAM. ML in Production: You've kept models serving correctly over time - versioning, dependency ...

Record: 8+ years building and operating production systems, with real ownership of something significant. Python Depth: Strong Python in a serverless or service context - AWS Lambda, container images, dependency and runtime management, multi-stage job orchestration. Infrastructure as Code: Hands-on Terraform. You've stood up a production … changes across a large Rails codebase, even if it's not where you've spent the most time. Cloud Native: Deep AWS across Lambda, S3, SQS, Kinesis, EventBridge, DynamoDB, Aurora/RDS, Redshift, and IAM. ML in Production: You've kept models serving correctly over time - versioning, dependency ...

Record: 8+ years building and operating production systems, with real ownership of something significant. Python Depth: Strong Python in a serverless or service context - AWS Lambda, container images, dependency and runtime management, multi-stage job orchestration. Infrastructure as Code: Hands-on Terraform. You've stood up a production … changes across a large Rails codebase, even if it's not where you've spent the most time. Cloud Native: Deep AWS across Lambda, S3, SQS, Kinesis, EventBridge, DynamoDB, Aurora/RDS, Redshift, and IAM. ML in Production: You've kept models serving correctly over time - versioning, dependency ...

Record: 8+ years building and operating production systems, with real ownership of something significant. Python Depth: Strong Python in a serverless or service context - AWS Lambda, container images, dependency and runtime management, multi-stage job orchestration. Infrastructure as Code: Hands-on Terraform. You've stood up a production … changes across a large Rails codebase, even if it's not where you've spent the most time. Cloud Native: Deep AWS across Lambda, S3, SQS, Kinesis, EventBridge, DynamoDB, Aurora/RDS, Redshift, and IAM. ML in Production: You've kept models serving correctly over time - versioning, dependency ...

Record: 8+ years building and operating production systems, with real ownership of something significant. Python Depth: Strong Python in a serverless or service context - AWS Lambda, container images, dependency and runtime management, multi-stage job orchestration. Infrastructure as Code: Hands-on Terraform. You've stood up a production … changes across a large Rails codebase, even if it's not where you've spent the most time. Cloud Native: Deep AWS across Lambda, S3, SQS, Kinesis, EventBridge, DynamoDB, Aurora/RDS, Redshift, and IAM. ML in Production: You've kept models serving correctly over time - versioning, dependency ...

Record: 8+ years building and operating production systems, with real ownership of something significant. Python Depth: Strong Python in a serverless or service context - AWS Lambda, container images, dependency and runtime management, multi-stage job orchestration. Infrastructure as Code: Hands-on Terraform. You've stood up a production … changes across a large Rails codebase, even if it's not where you've spent the most time. Cloud Native: Deep AWS across Lambda, S3, SQS, Kinesis, EventBridge, DynamoDB, Aurora/RDS, Redshift, and IAM. ML in Production: You've kept models serving correctly over time - versioning, dependency ...

Record: 8+ years building and operating production systems, with real ownership of something significant. Python Depth: Strong Python in a serverless or service context - AWS Lambda, container images, dependency and runtime management, multi-stage job orchestration. Infrastructure as Code: Hands-on Terraform. You've stood up a production … changes across a large Rails codebase, even if it's not where you've spent the most time. Cloud Native: Deep AWS across Lambda, S3, SQS, Kinesis, EventBridge, DynamoDB, Aurora/RDS, Redshift, and IAM. ML in Production: You've kept models serving correctly over time - versioning, dependency ...

Record: 8+ years building and operating production systems, with real ownership of something significant. Python Depth: Strong Python in a serverless or service context - AWS Lambda, container images, dependency and runtime management, multi-stage job orchestration. Infrastructure as Code: Hands-on Terraform. You've stood up a production … changes across a large Rails codebase, even if it's not where you've spent the most time. Cloud Native: Deep AWS across Lambda, S3, SQS, Kinesis, EventBridge, DynamoDB, Aurora/RDS, Redshift, and IAM. ML in Production: You've kept models serving correctly over time - versioning, dependency ...

Record: 8+ years building and operating production systems, with real ownership of something significant. Python Depth: Strong Python in a serverless or service context - AWS Lambda, container images, dependency and runtime management, multi-stage job orchestration. Infrastructure as Code: Hands-on Terraform. You've stood up a production … changes across a large Rails codebase, even if it's not where you've spent the most time. Cloud Native: Deep AWS across Lambda, S3, SQS, Kinesis, EventBridge, DynamoDB, Aurora/RDS, Redshift, and IAM. ML in Production: You've kept models serving correctly over time - versioning, dependency ...

Record: 8+ years building and operating production systems, with real ownership of something significant. Python Depth: Strong Python in a serverless or service context - AWS Lambda, container images, dependency and runtime management, multi-stage job orchestration. Infrastructure as Code: Hands-on Terraform. You've stood up a production … changes across a large Rails codebase, even if it's not where you've spent the most time. Cloud Native: Deep AWS across Lambda, S3, SQS, Kinesis, EventBridge, DynamoDB, Aurora/RDS, Redshift, and IAM. ML in Production: You've kept models serving correctly over time - versioning, dependency ...

Record: 8+ years building and operating production systems, with real ownership of something significant. Python Depth: Strong Python in a serverless or service context - AWS Lambda, container images, dependency and runtime management, multi-stage job orchestration. Infrastructure as Code: Hands-on Terraform. You've stood up a production … changes across a large Rails codebase, even if it's not where you've spent the most time. Cloud Native: Deep AWS across Lambda, S3, SQS, Kinesis, EventBridge, DynamoDB, Aurora/RDS, Redshift, and IAM. ML in Production: You've kept models serving correctly over time - versioning, dependency ...

Record: 8+ years building and operating production systems, with real ownership of something significant. Python Depth: Strong Python in a serverless or service context - AWS Lambda, container images, dependency and runtime management, multi-stage job orchestration. Infrastructure as Code: Hands-on Terraform. You've stood up a production … changes across a large Rails codebase, even if it's not where you've spent the most time. Cloud Native: Deep AWS across Lambda, S3, SQS, Kinesis, EventBridge, DynamoDB, Aurora/RDS, Redshift, and IAM. ML in Production: You've kept models serving correctly over time - versioning, dependency ...

Record: 8+ years building and operating production systems, with real ownership of something significant. Python Depth: Strong Python in a serverless or service context - AWS Lambda, container images, dependency and runtime management, multi-stage job orchestration. Infrastructure as Code: Hands-on Terraform. You've stood up a production … changes across a large Rails codebase, even if it's not where you've spent the most time. Cloud Native: Deep AWS across Lambda, S3, SQS, Kinesis, EventBridge, DynamoDB, Aurora/RDS, Redshift, and IAM. ML in Production: You've kept models serving correctly over time - versioning, dependency ...

Record: 8+ years building and operating production systems, with real ownership of something significant. Python Depth: Strong Python in a serverless or service context - AWS Lambda, container images, dependency and runtime management, multi-stage job orchestration. Infrastructure as Code: Hands-on Terraform. You've stood up a production … changes across a large Rails codebase, even if it's not where you've spent the most time. Cloud Native: Deep AWS across Lambda, S3, SQS, Kinesis, EventBridge, DynamoDB, Aurora/RDS, Redshift, and IAM. ML in Production: You've kept models serving correctly over time - versioning, dependency ...

Record: 8+ years building and operating production systems, with real ownership of something significant. Python Depth: Strong Python in a serverless or service context - AWS Lambda, container images, dependency and runtime management, multi-stage job orchestration. Infrastructure as Code: Hands-on Terraform. You've stood up a production … changes across a large Rails codebase, even if it's not where you've spent the most time. Cloud Native: Deep AWS across Lambda, S3, SQS, Kinesis, EventBridge, DynamoDB, Aurora/RDS, Redshift, and IAM. ML in Production: You've kept models serving correctly over time - versioning, dependency ...