Platform Engineer VI Data Services

Capgemini; Denver (CO); On-site; USD 112,611,000 - 175,936,000; Full time

Benefits offered by this job

Medical benefits

Retirement benefits

Professional development

Job summary

Capgemini seeks a Platform Engineer VI to act as offshore lead for the IIA platform engineering team, handling production support, data pipeline health, and cost optimization. You will build and lead the offshore team, develop automation in Python, and ensure reliable agent infrastructure across time zones.

You will guide architectural decisions during offshore hours, monitor dashboards, and coordinate with onshore teams for handoffs and escala tion avoidance.

Qualifications

• Strong AWS experience with core services and data workflows.
• Proficiency in Terraform or CloudFormation for IaC.
• Experience in production monitoring, incident response and cost optimization.
• Hands-on with Docker, CI/CD pipelines, and Python scripting.
• Ability to mentor engineers and drive offshore team delivery.
• Familiarity with data pipelines, batch/streaming architectures.

Responsibilities

• Own production support during offshore hours and serve as first responder.
• Monitor data pipelines, ensure data landing and quality.
• Triage issues, escalate only for architectural decisions.
• Maintain dashboards for pipeline health, agent availability, data freshness.
• Cost dashboards for AWS spend, AI compute, and third-party costs.
• Backfill data issues and coordinate with data engineers and scientists.
• Develop utilitarian code and automation tooling (Python).
• Lead and grow offshore platform engineering team and establish runbooks.

Skills

English proficiency

Communication across time zones

AWS core services

Infrastructure as code

Production monitoring

Cost optimization

Docker and CI/CD

Linux scripting

Leadership and mentoring

Python automation

REST APIs and cloud SDKs

Education

Bachelor’s degree in CS/IT/SE or related

Master’s degree in related field (optional)

Tools

Terraform

CloudFormation

Docker

GitLab CI

AWS SDK / boto3

Apache Spark

Apache Kafka

Airflow

Neo4j / AWS Neptune

Spark/Scala

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Job description

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, CloudWatch

Strong experience with infrastructure‑as‑code (Terraform preferred, CloudFormation 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 (GitLab 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 issues without escalation

Understanding of data pipeline architectures (batch and streaming) and common failure modes

Proficiency in Python (or a comparable general‑purpose language) for building automation, tooling, and application

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)

Preferred Qualifications

Skills/Abilities and Knowledge:

Experience with Apache Spark (Scala preferred) for distributed data processing

Experience with Apache Kafka or similar streaming platforms

Experience with Airflow or similar workflow orchestration platforms

Experience with graph databases (AWS Neptune, Neo4j)

Familiarity with AI/ML infrastructure requirements (model serving, token cost monitoring, artifact management)

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

Experience with LLM/agent deployment infrastructure and observability

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

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

Education

Bachelor’s degree in Computer Science, Information Technology, Systems Engineering, or related field, or relevant experience

Related Experience

Bachelor's degree: 8+ years of platform/infrastructure engineering experience, including 2+ years in a lead or senior role

Master's degree: 6+ years of platform/infrastructure engineering experience, including 2+ years in a lead or senior role

The pay range that the employer in good faith reasonably expects to pay for this position is $39.30/hour - $61.40/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.