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Platform Engineer VI Data Services

Job in Denver, Denver County, Colorado, 80285, USA
Listing for: Capgemini
Full Time position
Listed on 2026-08-23
Job specializations:
  • IT/Tech
    Data Engineering, Cloud Computing: Infrastructure & Operations, SRE/Site Reliability, AWS
Job Description & How to Apply Below

Contract (4 months 15 days)

Published 3 days ago

Python Automation

Monitoring & Observability

escalation management

AWS certification

production support

AI/ML

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 network operations.

The Platform Engineer VI serves as the offshore lead for IIA platform engineering, responsible for production support during offshore hours, data pipeline health, cost optimization, building/leading the offshore platform engineering team, and developing the utilitarian application code, automation, and internal tooling that support these systems.

This role requires the seniority to make independent architectural and operational decisions without escalating to onshore leadership during their shift.

Production Support and Operations

Own production support during offshore hours. Serve as first responder for infrastructure incidents, pipeline failures, and agent downtime.

Monitor data pipelines feeding agents and anomaly detection models. Ensure upstream data is landing on time and in expected format.

Triage and resolve production issues independently. Escalate to onshore only for decisions requiring architectural changes or cross-team coordination.

Maintain and improve monitoring dashboards for pipeline health, agent availability, and data freshness.

Cost and Resource Optimization

Build and maintain cost dashboards covering AWS infrastructure spend, AI compute/token costs, and third-party service costs.

Monitor token consumption across deployed agents. Identify cost anomalies and recommend optimization strategies.

Optimize resource utilization across compute, storage, and networking. Right-size infrastructure based on usage patterns.

Support pilot cost modeling: measure cost per user, project total cost at scale, and provide data for expansion decisions.

Data Availability and Pipeline Health

Ensure agents are getting the data they need. Monitor data availability, freshness, and quality for all sources feeding the IIA Data Lake.

Handle upstream data availability issues: identify when sources stop landing, coordinate with upstream data owners for resolution.

Support data pipeline backfills and recovery when issues are detected.

Coordinate with data engineering team on pipeline health checks and SLA monitoring.

Application Development and Tooling

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.

Leadership

Lead and grow the offshore platform engineering team. Mentor junior engineers and establish operational standards.

Define and enforce runbooks, escalation procedures, and operational best practices for the offshore team to follow during production support.

Coordinate across time zones with onshore platform engineers, data engineers, and data scientists to ensure smooth handoffs.

Participate in architectural decisions and provide input on infrastructure design based on operational experience.

Perform other duties as required.

Required Qualifications

Skills/Abilities and Knowledge:

Ability to read, write, speak and understand English

Strong communication skills with ability to lead across time zones and coordinate with onshore teams

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 with production monitoring, alerting, and incident response at scale

Experience with cost monitoring and optimization in AWS environments

Experience with containerization (Docker) and CI/CD pipelines (Git Lab CI preferred)

Proficiency with Linux‑based operating systems and shell scripting

Experience managing and mentoring engineering teams

Demonstrated ability to make independent technical decisions and triage production…

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