AWS Cloud infrastructure Engineer

AWS Cloud Infrastructure Engineer

Candidates must reside locally in the Denver Colorado region.

Following virtual interviews, a mandatory face-to-face interview onsite in Greenwood Village, CO, is required.

Location: Greenwood Village, CO. 4 days per week onsite, 1 day remote


Work Authorization - H1B, Green Card , US citizen.


I am not seeking a DevOps Engineer. I am seeking an AWS Cloud Infrastructure Engineer.


Expert AWS cloud architecture (EC2, EKS, Lambda, CloudFormation/Terraform) with AI/ML (Bedrock, Neptune, SageMaker), AIOps, MLOps, telecom network domain, and leadership in designing scalable, secure, enterprise-grade cloud solutions .


Our Client, a multi-national telecommunications technology is seeking an experienced and highly accomplished AWS Principal Architect to lead the strategy, architecture, and enterprise-wide implementation of an advanced AIOps framework supporting large-scale telecommunications network operations. In this role, you will design and deliver intelligent, automated, and highly reliable network operations solutions by leveraging advanced software development and cutting-edge AWS AI/ML services-such as Amazon Bedrock, Amazon Neptune, graph-based learning, and agentic AI orchestration.



This role is Hybrid role, requiring you to be onsite 4 days/week in Greenwood Village, CO (Denver area).

Key Responsibilities:


Evolve, promote, and recommend the end-to-end AIOps architectural strategy for network operations transformation using AI and ML.
Engage with senior stakeholders, communicate architectural decisions, and influence leadership-level alignment.
Drive organizational adoption of AIOps, automation, and AI-enabled network operations.
Architect and implement a production-grade AIOps framework on AWS to automate and enhance network monitoring, event correlation, root cause analysis, and remediation.
Integrate predictive and real-time ML models to proactively identify and prevent network outages.
Establish observability standards (metrics, logs, traces) and enable closed-loop automation for continuous operations improvement.
Lead the design of agentic AI systems using LLMs, tool-driven automation, retrieval-augmented generation (RAG), and workflow orchestration.
Implement guardrails, policy layers, and safe tooling interfaces enabling AI-driven autonomous decision-making in network operations.
Combine foundation models on Amazon Bedrock with telecom-specific data, workflows, and automation triggers.
Architect scalable, secure AWS environments supporting large enterprise telecom workloads.
Leverage Amazon Neptune for graph modeling of network topology and integrate graph neural network (GNN) techniques for impact analysis, dependency reasoning, and predictive insight.
Incorporate AWS services such as EC2, Lambda, EKS, S3, CloudFormation/Terraform, SageMaker, Rekognition, and Comprehend to create end to end intelligent operations capabilities.
Implement strong IAM, data protection, governance, and compliance-aligned cloud foundations.
Define coding standards, CI/CD automation, and DevSecOps practices for reliable and secure delivery.
Operational excellence & production governance
Lead reliability engineering practices, including HA/DR architecture, chaos engineering, capacity management, and telemetry-driven performance tuning.
Oversee model lifecycle management (MLOps), monitoring, retraining pipelines, and production governance.
Ensure solutions meet enterprise reliability, compliance, and observability benchmarks.
Leadership, mentoring & thought leadership
Mentor and guide senior engineers and architects, fostering a high-performance engineering culture.
Develop reusable frameworks, best practices, and technical assets to accelerate future implementations.
Champion innovation, experimentation, and continuous learning across teams.


Position Requirements


Bachelor''s or Masters degree in computer science, information technology, engineering, or related field.
12+ years of experience designing and delivering large-scale cloud architectures, primarily on AWS.
7+ years of experience leading senior engineers, architects, or cross-functional technical teams.
Expert-level proficiency with AWS cloud services, including advanced AI/ML stacks, Bedrock, Neptune, and modern data architectures.
Deep knowledge of AI/ML principles, agentic AI patterns, and MLOps practices.
Strong understanding of telecommunications networks, data flows, protocols, and operational processes.



Preferred Qualifications:
AWS Certified Solutions Architect - Professional or other advanced AWS certifications.
Experience modernizing mission-critical telecom or network platforms.
Background in network automation tooling and ITSM/ITIL-driven operations.
Demonstrated thought leadership through publications, reusable frameworks, or industry contributions.