Platform Engineer IV

Description:

Hybrid 2 onsite / 3 WFH in Greenwood Village, CO

Our client has an opportunity for a Platform Engineer to design, build, and maintain the AWS infrastructure that underpins the IIA Data Lake, agent runtime environments, CI/CD pipelines, and graph database systems, and to develop the application code, automation, and internal tooling for those systems. This role ensures production environments are stable, scalable, and secure while enabling data science and agentic AI workloads to operate reliably at scale.

We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $70.00 to $80.00/hr. w2

• Design and manage AWS infrastructure for the IIA Data Lake including S3, Glue, Athena, and EMR.
• Manage cross-account connectivity, VPC networking, security groups, and IAM roles and policies.
• Build and maintain infrastructure for AI agent runtime environments for Lang Graph agents via Lang Smith Deployments.
• Design and implement event-driven infrastructure with triggers, queues, and pub or sub to orchestrate agents and data workflows.
• Support deployment and operation of AWS Neptune for a network topology graph including capacity and performance tuning.
• Implement infrastructure as code using Terraform or Cloud Formation for repeatable provisioning.
• Manage IAM key rotations, secrets management, and security compliance for on-premises and cloud integrations.
• Build and maintain CI or CD pipelines for agent deployments using Git Lab CI or CD, Docker, and Artifactory.
• Manage container lifecycle including image builds, versioning, and rollbacks for Lang Smith Deployments.
• Automate deployment workflows to promote agents from development to production.
• Coordinate with platform teams on AI gateway integration, cross-account deployment, and connectivity.
• Support and maintain ETL pipelines in Scala or Spark, and onboard new data sources.
• Develop Python scripts, CLIs, services, and automation utilities for ingestion, deployment, and operations.
• Write integration code and glue services for upstream and downstream systems and external platforms.
• Ensure production stability with monitoring, alerting, incident response, and SLA adherence.
• Implement monitoring and alerting for deployed agents including health, errors, latency, and resource use.
• Coordinate connectivity and firewall requests with upstream data teams and platform teams.
• Support infrastructure needs for new data onboarding and scheduler maintenance with Airflow and event triggers.
• Perform other duties as required.

• Expert experience with AWS services including EC2, S3, IAM, VPC, Glue, Athena, EMR, Secrets Manager, and Cloud Watch.
• Strong infrastructure as code experience with Terraform or Cloud Formation.
• Background in cross-account AWS architectures, VPC peering, Private Link, and transit gateway.
• IAM policy design with least privilege and service account management.
• Containerization with Docker and container orchestration.
• CI or CD pipelines with Git Lab CI.
• Event-driven architectures and messaging such as Kafka, SNS or SQS, or Event Bridge.
• Linux proficiency and shell scripting.
• Monitoring and alerting with Cloud Watch, Prometheus, Grafana, or similar.
• Networking fundamentals including DNS, CIDR, NAT, VPC endpoints, firewalls, and security groups.
• Cross-team coordination on connectivity and access requirements.
• Proficiency in Python or a comparable language for automation and tooling.
• Software engineering fundamentals including Git workflows, code review, modular design, dependency management, and documentation.
• Automated tests for application and infrastructure code and CI or CD integration.
• Integration against REST APIs and cloud SDKs such as boto
  3.
• Preferred: graph databases such as AWS Neptune or Neo4j.
• Preferred:
  Apache Kafka or similar streaming platforms.
• Preferred:
  Apache Spark with Scala for distributed and streaming processing.
• Preferred:
  Airflow or similar orchestration platforms.
• Preferred: telecommunications or large-scale network operations experience.
• Preferred: familiarity with AI or ML infrastructure such as model serving, compute, and artifact management.
• Preferred:
  Splunk integration including Edge Processor and MCP connectivity.
• Preferred: AWS certifications such as Solutions Architect or Dev Ops Engineer.
• Preferred: experience developing and operating small services or APIs with FastAPI or Flask.

Bachelor's degree in Computer Science, Information Technology, Systems Engineering, or related field, or relevant experience. Bachelor's degree: 5+ years of platform or infrastructure engineering experience. Master's degree: 3+ years of platform or infrastructure engineering experience.