Sr Lead Engineer Cloud

Teachers Insurance and Annuity Association
Woodbridge Township, NJ, United States
6 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Amazon Web Services Bash Shell Cloud Computing Cloud Computing Security Cloud Engineering Continuous Integration DevOps Identity and Access Management Python (Programming Language) Modular Design Reliability Engineering
+6 more
Zero Trust Network Access Cloud Platform System Cloudformation Machine Learning Operations Cloud Migration Terraform

Job description

Experteer Overview In this role you will architect, build, and operate scalable, secure AWS cloud foundations that power enterprise AI/ML deployments. You will lead multi-account cloud environments, drive observability and governance, and enable self-service platforms for cross-functional teams. You’ll apply AI and automation to cloud operations, mentor engineers, and shape the cloud strategy to support regulated industries. This position offers high impact, collaboration, and the opportunity to define the future of our enterprise cloud platform. Compensation / Benefits * Design, implement, and lifecycle-manage enterprise-grade AWS cloud platform infrastructure focusing on scalability, resilience, and security * Architect and deliver AI-enabled cloud foundations for scalable AI/ML workloads, including compute, networking, storage, and security patterns * Apply AI-driven tooling and intelligent operations (AIOps, predictive monitoring, anomaly detection) to platform engineering * Develop and maintain infrastructure-as-code (Terraform/OpenTofu) for automated, self-service provisioning at scale * Establish cloud governance, security guardrails, compliance controls, and architectural standards across accounts * Drive observability and proactive issue resolution to ensure platform reliability and performance * Collaborate with development, DevOps, SRE, security, and AI/ML teams to enable self-service platform capabilities * Lead cloud migration and modernization, including workload onboarding and platform rationalization * Evaluate and pilot emerging cloud and AI technologies to steer platform direction * Mentor engineers and foster a culture of engineering excellence and innovation Tasks * 5+ years in cloud engineering, infrastructure, or platform engineering * Deep hands-on AWS expertise across compute, networking, storage, containers, security, and AI/ML * Experience delivering cloud foundations enabling AI/ML workloads at scale (GPU compute, high-throughput storage, secure model serving) * Hands-on AI and automation in cloud operations (AIOps, AI-assisted tooling, intelligent observability) * Experience designing multi-account AWS environments (Control Tower, Organizations, AFT) * Strong cloud security, IAM, zero-trust, and regulatory-compliance knowledge * IaC proficiency (Terraform, OpenTofu, or CloudFormation) with modular design and CI/CD integration * Python/Bash scripting and automation * Proven ability to lead complex initiatives and mentor senior engineers Key requirements * comprehensive Total Rewards * superior retirement program * health and wellness benefits * work-life balance offerings * learning and development pathways * competitive compensation

Requirements

and maintain infrastructure-as-code (Terraform/OpenTofu) for automated, self-service provisioning at scale * Establish cloud governance, security guardrails, compliance controls, and architectural standards across accounts * Drive observability and proactive issue resolution to ensure platform reliability and performance * Collaborate with development, DevOps, SRE, security, and AI/ML teams to enable self-service platform capabilities * Lead cloud migration and modernization, including workload onboarding and platform rationalization * Evaluate and pilot emerging cloud and AI technologies to steer platform direction * Mentor engineers and foster a culture of engineering excellence and innovation Tasks * 5+ years in cloud engineering, infrastructure, or platform engineering * Deep hands-on AWS expertise across compute, networking, storage, containers, security, and AI/ML * Experience delivering cloud foundations enabling AI/ML workloads at scale (GPU compute, high-throughput storage, aaaar _ model serving) * Hands-on AI and automation in cloud operations (AIOps, AI-assisted tooling, intelligent observability) * Experience designing multi-account AWS environments (Control Tower, Organizations, AFT) * Strong cloud security, IAM, zero-trust, and regulatory-compliance knowledge * IaC proficiency (Terraform, OpenTofu, or CloudFormation) with modular design and CI/CD integration * Python/Bash scripting and automation * Proven ability to lead complex initiatives and mentor senior engineers Key requirements * comprehensive Total Rewards * superior retirement program * health and wellness benefits * work-life balance offerings * learning and development pathways * competitive compensation

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