Why This Role Stands Out
Elevate your career as an AWS Platform Engineer at Dimension Consulting, where you'll gain extensive experience in designing and managing critical AWS infrastructure and CI/CD pipelines for cutting-edge AI agents. This hybrid role is perfect for mid-senior level engineers with a strong foundation in IaC, Kubernetes, and a passion for building robust cloud solutions, offering a fantastic opportunity to grow your skills within a reputable company. Apply now to join their innovative team and contribute to impactful projects.
Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
Denver, CO, United States
Posted
3 weeks ago
DockerMicroservicesScalaShellSpringSpring BootAWSETLCloudFormationDNSData PipelineGitGitLab CIGrafanaJavaKafkaKubernetesPrometheusPythonRESTTerraform
Job Description
Hello,
Please find the below job and let me know if you are interested, please let know
Job Title AWS Platform Engineer
Location: Denver, CO
Contract duration 12
Skills- Infrastructure as Code (IaC)- Terraform, CI/CD automation, AWS Cloud Infrastructure Provisioning , EKS/Kubernetes administration, AWS services- EC2, S3, IAM, VPC, Glue, Athena, EMR, Secrets Manager, CloudWatch, Java, Spring boot, microservices
Job Description-
· Design and manage AWS infrastructure for the IIA Data Lake including S3 storage, Glue data catalog, Athena query engine, and EMR compute clusters.
· Manage cross-account connectivity, VPC networking, security groups, and IAM roles/policies to enable secure data flow between IIA, upstream data providers, and downstream consumers.
· Build and maintain infrastructure for AI agent runtime environments, including compute resources for Lang Graph agents deployed via Lang Smith Deployments.
· Build and maintain CI/CD pipelines for AI agent deployments using GitLab CI/CD, Docker, and Artifactory.
· Support and maintain existing ETL pipelines written in Scala/Spark, including troubleshooting, enhancements, and onboarding new data sources.
· Ensure production environment stability through monitoring, alerting, and incident response. Maintain SLAs for data pipeline availability and agent uptime.
· Strong experience with infrastructure-as-code (Terraform preferred, CloudFormation acceptable)
· Experience managing cross-account AWS architectures, VPC peering, Private Link, and transit gateway configurations
· Experience with IAM policy design, least-privilege access patterns, and service account management
· Experience with containerization (Docker) and container orchestration
· Experience with CI/CD pipelines (GitLab CI preferred)
· Experience with event-driven architectures and messaging systems (e.g., Kafka, SNS/SQS, Event Bridge)
· Proficiency with Linux-based operating systems and shell scripting
· Experience with monitoring and alerting tools (CloudWatch, Prometheus, Grafana, or similar)
· Understanding of networking fundamentals: DNS, CIDR, NAT, VPC endpoints, firewalls, security group
· Demonstrated ability to work across teams and coordinate with external platform owners on connectivity and access requirements
· Proficiency in Python (or a comparable general-purpose language) for building automation, tooling, and applications
· Solid software engineering fundamentals: Git-based workflows, code review, modular and reusable design, dependency management, and writing maintainable, documented code
· Experience writing automated tests (unit/integration) for application and infrastructure code, and integrating those tests into CI/CD
· Ability to write integration code against REST APIs and cloud SDKs (e.g., AWS SDK / boto3)
Location: Denver, CO
Contract duration 12
Skills- Infrastructure as Code (IaC)- Terraform, CI/CD automation, AWS Cloud Infrastructure Provisioning , EKS/Kubernetes administration, AWS services- EC2, S3, IAM, VPC, Glue, Athena, EMR, Secrets Manager, CloudWatch, Java, Spring boot, microservices
Job Description-
· Design and manage AWS infrastructure for the IIA Data Lake including S3 storage, Glue data catalog, Athena query engine, and EMR compute clusters.
· Manage cross-account connectivity, VPC networking, security groups, and IAM roles/policies to enable secure data flow between IIA, upstream data providers, and downstream consumers.
· Build and maintain infrastructure for AI agent runtime environments, including compute resources for Lang Graph agents deployed via Lang Smith Deployments.
· Build and maintain CI/CD pipelines for AI agent deployments using GitLab CI/CD, Docker, and Artifactory.
· Support and maintain existing ETL pipelines written in Scala/Spark, including troubleshooting, enhancements, and onboarding new data sources.
· Ensure production environment stability through monitoring, alerting, and incident response. Maintain SLAs for data pipeline availability and agent uptime.
· Strong experience with infrastructure-as-code (Terraform preferred, CloudFormation acceptable)
· Experience managing cross-account AWS architectures, VPC peering, Private Link, and transit gateway configurations
· Experience with IAM policy design, least-privilege access patterns, and service account management
· Experience with containerization (Docker) and container orchestration
· Experience with CI/CD pipelines (GitLab CI preferred)
· Experience with event-driven architectures and messaging systems (e.g., Kafka, SNS/SQS, Event Bridge)
· Proficiency with Linux-based operating systems and shell scripting
· Experience with monitoring and alerting tools (CloudWatch, Prometheus, Grafana, or similar)
· Understanding of networking fundamentals: DNS, CIDR, NAT, VPC endpoints, firewalls, security group
· Demonstrated ability to work across teams and coordinate with external platform owners on connectivity and access requirements
· Proficiency in Python (or a comparable general-purpose language) for building automation, tooling, and applications
· Solid software engineering fundamentals: Git-based workflows, code review, modular and reusable design, dependency management, and writing maintainable, documented code
· Experience writing automated tests (unit/integration) for application and infrastructure code, and integrating those tests into CI/CD
· Ability to write integration code against REST APIs and cloud SDKs (e.g., AWS SDK / boto3)
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