DevOps Engineer; AI​/ML & Telecom Automation DevOps Engineer

Location:

Warrenville, IL

Work Arrangement:
Onsite

Employment Type:

Contract

Contract Duration: 12 Months

Hourly Rate: $41.38/hr. on W2 OR $49.72/hr. on C2C

Domain:
Telecommunications | AI/ML & Cloud Automation

Final date to receive applications:
August 28, 2026

• Advanced automation proficiency with heavy emphasis on Python scripting and API integration
• Hands‑on AI/ML experience building, integrating, and deploying models/agents in production environments
• Proven experience with Nokia Red Hat Open Shift Container Platform (OCP) deployments
• Solid understanding of AI security, data privacy frameworks, and encryption best practices
• Demonstrated ability to work autonomously to troubleshoot complex infrastructure and pipeline issues

• Familiarity with telecom networks, Core Network elements, or IMS (IP Multimedia Subsystem) environments
• Experience designing and building NLP assistants or predictive algorithms
• Continuous learning mindset with a strong track record of adopting emerging AI/ML and automation tools
• ~8 years of professional experience in Systems/Dev Ops Engineering roles

We are seeking a highly skilled and autonomous Dev Ops Engineer for a 12‑month enterprise project based onsite in Warrenville, IL. This strategic role bridges the gap between telecom infrastructure automation and cutting‑edge artificial intelligence. The successful candidate will be responsible for designing, building, and deploying AI‑driven automation frameworks within a specialized Red Hat Open Shift and Nokia environment. This role requires a self‑driven engineer capable of driving sophisticated automation pipelines and integrating production‑grade AI models without close supervision.

• Design, implement, and maintain robust automation solutions using Python scripting, API integrations, and modern automation frameworks
• Deploy, manage, and optimize containerized applications and workloads within Nokia Red Hat Open Shift (OCP) environments
• Integrate AI/ML components and models (such as NLP assistants and predictive algorithms) into existing software ecosystems, ensuring seamless compatibility and high performance
• Incorporate strict security practices, data encryption, and privacy considerations into all development, deployment, and pipeline architectures
• Collaborate cross‑functionally with technical and non-technical teams to align automation workflows with enterprise project goals, delivering high‑quality solutions independently

• Medical
• Dental
• Vision
• 401(k)

EEOC Compliance

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment.

AI Usage Policy:
Pacer Group uses AI to assist in screening applications. Final hiring decisions are made by human recruiters based on qualifications and experience.