Contract W2- Senior Platform Engineer

Location: Denver, CO  (Need local candidates only)

Contract W2 (No C2C)

·       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 LangGraph agents deployed via LangSmith Deployments.

·       Design and implement event-driven infrastructure including triggers, message queues, and pub/sub frameworks that orchestrate agent execution and data pipeline workflows

·       Support deployment and operation of AWS Neptune for the network topology graph (digital twin), including capacity planning, schema design support, and performance tuning.

·       Implement and manage infrastructure-as-code (Terraform, CloudFormation) for repeatable, auditable environment provisioning.

·       Manage IAM access key rotations, secrets management (AWS Secrets Manager, Delinea), and security compliance for on-premises and cloud integrations (e.g., Splunk Edge Processor).

·       Build and maintain CI/CD pipelines for AI agent deployments using GitLab CI/CD, Docker, and Artifactory.

·       Manage container lifecycle for agents deployed via LangSmith Deployments, including image builds, versioning, and rollback procedures.

·       Automate deployment workflows to enable rapid, reliable promotion of agents from development through production.

·       Coordinate with SpecGPT platform team on AI Gateway integration, cross-account deployment, and connectivity requirements.

·       Support and maintain existing ETL pipelines written in Scala/Spark, including troubleshooting, enhancements, and onboarding new data sources.

·       Develop and maintain application code: scripts, CLIs, small services, and automation utilities (primarily Python) that support data ingestion, deployment, environment provisioning, and operational workflows.

·       Write integration code and glue services that connect IIA systems with upstream data providers, downstream consumers, and external platforms.

·       Ensure production environment stability through monitoring, alerting, and incident response. Maintain SLAs for data pipeline availability and agent uptime.

·       Implement production monitoring and alerting for deployed agents (health checks, error rates, latency, resource utilization).

·       Coordinate with upstream data teams and platform teams (SpecGPT, Splunk, Public Cloud) on connectivity, firewall requests, and integration requirements.

·       Support data engineering team with infrastructure needs for new data source onboarding (storage provisioning, access controls, pipeline compute) and coordinate on scheduler maintenance and development (Airflow, event-driven triggers).

·       Perform other duties as required.

·       Strong communication skills with ability to explain infrastructure decisions to non-infrastructure stakeholders

·       Expert-level experience with AWS services: EC2, S3, IAM, VPC, Glue, Athena, EMR, Secrets Manager, CloudWatch

·       Strong experience with infrastructure-as-code (Terraform preferred, CloudFormation acceptable)

·       Experience managing cross-account AWS architectures, VPC peering, PrivateLink, 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, EventBridge)

·       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 groups

·       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)

·       Experience with graph databases (AWS Neptune, Neo4j) including deployment, scaling, and operational management

·       Experience with Apache Kafka or similar streaming platforms

·       Experience with Apache Spark (Scala preferred) for distributed and streaming data processing such as Spark Streaming or structured streaming.

·       Experience with Airflow or similar workflow orchestration platforms

·       Experience in the telecommunications industry or other large-scale network operations environments

·       Familiarity with AI/ML infrastructure requirements (model serving, GPU/CPU compute, artifact management via MLflow or similar)

·       Experience with Splunk integration, particularly Edge Processor and MCP connectivity

·       AWS certifications (Solutions Architect, DevOps Engineer, or similar)

·       Experience developing and operating small services or APIs (e.g., FastAPI/Flask) in a production environment