Senior Platform Engineer – AWS & AI Infrastructure

Location: Denver, CO — LOCAL CANDIDATES ONLY
Duration: 6 Months Contract
Work Mode: 100% Onsite
Visa: H1B Candidates Accepted
Interview: 1st Round Virtual Teams | 2nd Round Face-to-Face in Denver, CO
Remote: NO REMOTE

Job Description

We are seeking a highly skilled Senior Platform Engineer with strong expertise in AWS infrastructure, Infrastructure-as-Code, CI/CD, Python automation, containerization, and cloud security.

The engineer will design, build, and maintain AWS infrastructure supporting data lake, AI agent runtime environments, CI/CD pipelines, and graph database platforms. This is a hands-on role focused on automation, infrastructure reliability, production operations, and enabling AI/ML workloads at scale.

Key Responsibilities

• Design and manage AWS infrastructure using EC2, S3, Glue, Athena, EMR, IAM, VPC, Secrets Manager, and CloudWatch.
• Design and support AWS infrastructure for enterprise data lake environments.
• Manage cross-account AWS architectures, VPC networking, security groups, and IAM roles/policies.
• Build and maintain AI agent runtime environments.
• Support deployment and operation of AWS Neptune for network topology graph systems.
• Implement and manage Infrastructure-as-Code using Terraform or CloudFormation.
• Manage IAM access, secrets, and cloud security integrations.
• Build and maintain GitLab CI/CD pipelines using GitLab CI/CD, Docker, and Artifactory.
• Manage container lifecycle, including image builds, versioning, deployments, and rollback procedures.
• Automate deployment workflows across Development, Test, and Production environments.
• Develop and maintain Python automation scripts, CLI tools, services, and utilities.
• Build integration services connecting upstream and downstream platforms.
• Implement production monitoring, alerting, and incident response processes.
• Support data engineering infrastructure and new data-source onboarding.
• Develop automated unit and integration tests and integrate them into CI/CD pipelines.
• Write integration code using REST APIs and AWS SDK/Boto3.
• Collaborate with data, platform, application, and external technology teams.

Required Skills

• AWS / Amazon Web Services
• EC2, S3, IAM, VPC, Glue, Athena, EMR
• AWS Secrets Manager & CloudWatch
• Terraform preferred; CloudFormation acceptable
• Cross-account AWS architecture
• VPC Peering, PrivateLink, Transit Gateway
• IAM policy design and least-privilege access
• Docker / Containerization
• GitLab CI/CD
• Artifactory
• Python
• Linux-based operating systems
• Shell scripting
• Monitoring & Alerting — CloudWatch, Prometheus, Grafana or similar
• Networking fundamentals — DNS, CIDR, NAT, Firewalls, Security Groups
• REST APIs
• AWS SDK / Boto3
• Automated Unit & Integration Testing
• Software Engineering fundamentals
• Infrastructure-as-Code / IaC
• Production troubleshooting and support

Preferred Skills

• AWS Neptune / Neo4j
• Graph Databases
• Apache Kafka
• Apache Spark / Scala
• Apache Airflow
• Telecom infrastructure / large-scale network operations
• AI/ML Infrastructure
• Model Serving
• GPU/CPU Compute
• Artifact Management
• MLflow
• Splunk, Edge Processor, MCP
• AWS Certifications — Solutions Architect, DevOps Engineer, or similar
• FastAPI / Flask
• Production API development

Interview & Location Requirements

IMPORTANT: LOCAL CANDIDATES ONLY – NO REMOTE

• Candidate must be local to the Denver, CO area.
• 100% onsite position in Denver, Colorado.
• 1st Round: Virtual Microsoft Teams
• 2nd Round: Face-to-Face interview in Denver, CO
• Candidate must be able to attend the F2F interview.
• H1B candidates are acceptable.
• No remote candidates.
• No fake profiles.

DICE Skills