Lead, Infrastructure Developer - AI Platforms

Prudential Financial • Newark, NJ

22h • Hybrid

About The Position

Are you interested in building capabilities that enable the organization with innovation, speed, agility, scalability and efficiency? The Global Technology team takes great pride in our culture where digital transformation is built into our DNA! When you join our organization at Prudential, you’ll unlock an exciting and impactful career – all while growing your skills and advancing your profession at one of the world’s leading financial services institutions. Your Team & Role As a Lead, Infrastructure Developer on the AI Platform Team, you will partner with product owners, tech leads, platform engineers, data engineers, security teams, and delivery professionals to improve AI Platforms. including enterprise AI and intelligent platforms. You will design, build, and operate cloud‑native infrastructure and automation that powers AI runtimes, model services, data pipelines, agent orchestration, and other platform capabilities. In addition to advanced technical expertise, you will be a hands‑on leader who accelerates platform evolution through infrastructure as code, automation, deep technical problem solving, and mentoring engineers. You will uphold strong standards for security, reliability, scalability, and compliance while enabling teams to deliver AI‑driven solutions at enterprise scale. This role is based in our office in Newark, NJ. Our organization follows a hybrid work structure where employees can work remotely and from the office, as needed, based on demands of specific tasks or personal work preferences. This position is hybrid and requires your on-site presence on a reoccurring weekly basis at least 3 days per week.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
• Significant experience in infrastructure engineering, platform engineering, or cloud engineering roles
• Applied programming experience using Python and/or nodeJS, Shell/Power scripting
• Advanced hands‑on expertise with cloud platforms such as AWS, Azure, or GCP. AWS Agent Core Preferred
• Strong experience with containerization and orchestration technologies including Docker and Kubernetes
• Proficiency with Infrastructure as Code tools such as Terraform, CloudFormation, Pulumi, ARM, and Helm
• Experience building and supporting CI/CD pipelines, automation frameworks, and observability tooling
• Solid understanding of distributed systems, networking, security, resiliency, and performance engineering
• Exposure to AI/ML infrastructure, GPU environments, inference‑grade cloud services, or data‑intensive platforms is strongly preferred
• Ability to lead technical initiatives, conduct design reviews, and mentor engineers with minimal guidance
• Experience with agile development methodologies and Test‑Driven Development (TDD)
• Strong problem‑solving, communication, and collaboration skills with the ability to influence across teams
• Ability to continuously learn new technologies and apply them pragmatically to complex business problems

Responsibilities

• Create, code, and support solutions to automate the creation, management, and destruction of cloud‑native infrastructure; remove complex technical impediments across environments and pipelines
• Design, implement, and maintain infrastructure that supports AI platform workloads, model endpoints, data systems, and shared platform services
• Develop Infrastructure as Code solutions to manage provisioning, configuration, scaling, and lifecycle management of environments
• Build and maintain automated pipelines, APIs, tooling, and frameworks that enable self‑service consumption and a seamless developer experience
• Accelerate application and platform development by building standardized, resilient infrastructure patterns that align with Prudential standards
• Collaborate with product owners to understand needs and define feature stories, and with tech leads and engineers to define technical designs and deliver end‑to‑end solutions
• Ensure infrastructure is optimized for high‑performance compute, GPU and accelerator workloads, large‑scale parallel services, and real‑time inference
• Implement infrastructure foundations that support AI agent runtimes, orchestration layers, memory systems, and intelligent services
• Develop corporate platform and infrastructure standards based on cost, capability, scalability, resiliency, and capacity requirements; document solutions to support adoption
• Implement and enforce infrastructure‑level security controls, identity models, network standards, and compliance frameworks using DevSecOps best practices
• Deliver operational excellence through monitoring, observability, health checks, alerting, and automated recovery patterns
• Troubleshoot and resolve complex reliability, performance, and scalability issues across cloud environments
• Conduct infrastructure and design reviews, provide deep technical guidance, and coach engineers on cloud architecture and platform engineering best practices
• Bring a strong understanding of relevant and emerging technologies, influence infrastructure strategy, and embed learning and innovation into day‑to‑day work
• Apply infrastructure fundamentals across Linux/Unix operating systems, databases, networking, TCP/IP, and distributed systems

Benefits

• Market competitive base salaries, with a yearly bonus potential at every level.
• Medical, dental, vision, life insurance, disability insurance, Paid Time Off (PTO), and leave of absences, such as parental and military leave.
• 401(k) plan with company match (up to 4%).
• Company-funded pension plan.
• Wellness Programs including up to $1,600 a year for reimbursement of items purchased to support personal wellbeing needs.
• Work/Life Resources to help support topics such as parenting, housing, senior care, finances, pets, legal matters, education, emotional and mental health, and career development.
• Education Benefit to help finance traditional college enrollment toward obtaining an approved degree and many accredited certificate programs.
• Employee Stock Purchase Plan: Shares can be purchased at 85% of the lower of two prices (Beginning or End of the purchase period), after one year of service.
• Eligibility to participate in a discretionary annual incentive program is subject to the rules governing the program, whereby an award, if any, depends on various factors including, without limitation, individual and organizational performance.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level