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

Responsibilities:

• 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 LangGraph agents via LangSmith 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 CloudFormation 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 GitLab CI or CD, Docker, and Artifactory.
• Manage container lifecycle including image builds, versioning, and rollbacks for LangSmith 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.

Experience Requirements:

• Expert experience with AWS services including EC2, S3, IAM, VPC, Glue, Athena, EMR, Secrets Manager, and CloudWatch.
• Strong infrastructure as code experience with Terraform or CloudFormation.
• Background in cross-account AWS architectures, VPC peering, PrivateLink, and transit gateway.
• IAM policy design with least privilege and service account management.
• Containerization with Docker and container orchestration.
• CI or CD pipelines with GitLab CI.
• Event-driven architectures and messaging such as Kafka, SNS or SQS, or EventBridge.
• Linux proficiency and shell scripting.
• Monitoring and alerting with CloudWatch, 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 boto3.
• 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 DevOps Engineer.
• Preferred: experience developing and operating small services or APIs with FastAPI or Flask.

Education Requirements:
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.

Recruitment Transparency Notice



Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (, ) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process.

Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.

W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.
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About Eliassen Group:

Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients' capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve.

Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws.

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