51 to 75 of 143 Remote Amazon EventBridge Jobs

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 drift, feature plumbing, explainability. ...

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 drift, feature plumbing, explainability. ...

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 drift, feature plumbing, explainability. ...

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 drift, feature plumbing, explainability. ...

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 drift, feature plumbing, explainability. ...

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 drift, feature plumbing, explainability. ...

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 drift, feature plumbing, explainability. ...

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 drift, feature plumbing, explainability. ...

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 drift, feature plumbing, explainability. ...

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 drift, feature plumbing, explainability. ...

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 drift, feature plumbing, explainability. ...

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 drift, feature plumbing, explainability. ...

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 drift, feature plumbing, explainability. ...

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 drift, feature plumbing, explainability. ...

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 drift, feature plumbing, explainability. ...

PostgreSQL databases, including indexing, partitioning, and query performance tuning. Develop RESTful APIs, integrations, and workflow automation solutions. Utilize AWS services including Lambda, S3, RDS, EventBridge, and Step Functions. Deploy and manage applications within Docker and containerized environments. Troubleshoot production issues and support application deployments. Collaborate with cross-functional teams ...

operational environment where software has a direct physical‐world impact. Technologies We Use Backend languages: Python, Go Tech infrastructure: AWS, CDK TypeScript, Lambda, SQS, EventBridge, RDS, DynamoDB Data tooling: GCP, BigQuery, Looker, Looker Studio Observability: Loki, Tempo, Grafana, Prometheus Event‐driven architecture and domain‐driven design Benefits Dynamic hybrid ...

meet security and compliance requirements within Department of Defense (DoD) network environments. Key Responsibilities Architect and deploy AWS resources (S3, Transfer Server, QuickSight, CloudWatch, EventBridge) using Terraform Build and maintain CI/CD pipelines for Java and Angular microservices (Tekton) Deploy and manage containerized microservices in OpenShift/Kubernetes ...

cloud-native applications. Monitoring and Logging Implement robust monitoring and logging solutions to maintain high availability and identify issues in real-time. Utilise AWS EventBridge Scheduler to manage scheduled events and automate operational workflows. Analyse performance metrics and logs to proactively improve system performance and reliability. Security and Compliance ...

reviewed. You're comfortable working across the stack and picking up unfamiliar parts of a system. Our stack uses python and AWS managed services (EventBridge, Lambda, DynamoDB). AI-native builder: You're fluent with AI coding tools (e.g., Claude, Cursor, GitHub Copilot) and actively incorporate them into your ...

reviewed. You're comfortable working across the stack and picking up unfamiliar parts of a system. Our stack uses python and AWS managed services (EventBridge, Lambda, DynamoDB). AI-native builder: You're fluent with AI coding tools (e.g., Claude, Cursor, GitHub Copilot) and actively incorporate them into your ...

reviewed. You're comfortable working across the stack and picking up unfamiliar parts of a system. Our stack uses python and AWS managed services (EventBridge, Lambda, DynamoDB). AI-native builder: You're fluent with AI coding tools (e.g., Claude, Cursor, GitHub Copilot) and actively incorporate them into your ...

reviewed. You're comfortable working across the stack and picking up unfamiliar parts of a system. Our stack uses python and AWS managed services (EventBridge, Lambda, DynamoDB). AI-native builder: You're fluent with AI coding tools (e.g., Claude, Cursor, GitHub Copilot) and actively incorporate them into your ...

reviewed. You're comfortable working across the stack and picking up unfamiliar parts of a system. Our stack uses python and AWS managed services (EventBridge, Lambda, DynamoDB). AI-native builder: You're fluent with AI coding tools (e.g., Claude, Cursor, GitHub Copilot) and actively incorporate them into your ...

reviewed. You're comfortable working across the stack and picking up unfamiliar parts of a system. Our stack uses python and AWS managed services (EventBridge, Lambda, DynamoDB). AI-native builder: You're fluent with AI coding tools (e.g., Claude, Cursor, GitHub Copilot) and actively incorporate them into your ...