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AWS Platform Engineer

Dimension ConsultingDenver, CO🇺🇸United StatesPosted 12 Aug 2026

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)

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