Platform Engineer VI - Data Services

Contract (3 months 25 days)

Published 6 days ago

Python Automation

aws cloud

Dev Ops & CI/CD

rest apis

AI/ML

Charter's Infrastructure Intelligence and Analytics (IIA) team builds and operates the data platform and AI agent infrastructure that powers proactive network monitoring and autonomous investigation for Charter's network operations.

As part of this group, the Platform Engineer IV designs, builds, and maintains the AWS infrastructure that underpins the IIA Data Lake, agent runtime environments, CI/CD pipelines, and graph database systems, and develops the utilitarian 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.

Responsibilities span across the following areas.

Individual focus areas will be determined based on team needs and candidate strengths:

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.

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, Cloud Formation) 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 Git Lab CI/CD, Docker, and Artifactory.

Manage container lifecycle for agents deployed via Lang Smith 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.

Develop and maintain utilitarian 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).

Perform other duties as required.

Ability to read, write, speak and understand English

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, Cloud Watch

Strong experience with infrastructure-as-code (Terraform preferred, Cloud Formation 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 (Git Lab CI preferred)

Proficiency with Linux-based operating systems and shell scripting

Experience with monitoring and alerting tools (Cloud Watch, Prometheus, Grafana, or similar)

Understanding of networking fundamentals: DNS, CIDR, NAT, 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…