A.I. Platform Engineer

eLEND Solutions

Senior AI Platform Engineer at eLEND responsible for developing enterprise-grade AI infrastructure. Focused on implementing scalable workflow orchestration and cloud-native applications.

Posted 7/9/2026full-timeFlorida, New Jersey • 🇺🇸 United StatesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing scalable workflow orchestration platforms and cloud-native applications using Microsoft Azure. Proficient in building distributed systems and event-driven architectures while optimizing performance and operational efficiency.

Highest-signal resume keywords

Workflow Orchestration PlatformsCloud-Native ApplicationsDistributed SystemsEvent-Driven ArchitecturesMicrosoft Azure

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Hard Skills

PythonTypeScriptGoC#KubernetesDockerCI/CD PipelinesInfrastructure-as-CodeAPI DevelopmentMicroservices

Soft Skills

Analytical SkillsProblem-SolvingCollaborationCommunication

Tools & Technologies

TemporalAzure Durable FunctionsCamundaAzure Service BusEvent Grid

Industry Keywords

Software EngineeringPlatform EngineeringDistributed SystemsWorkflow ResiliencyOperational Lending Processes

Tech Stack

Tools & technologies

AzureCloudDistributed SystemsDockerGoKubernetesMicroservicesPythonTypeScript

About the role

Key responsibilities & impact

Design and implement scalable workflow orchestration platforms using technologies such as Temporal, Azure Durable Functions, Camunda, or similar workflow engines.
Build long-running, fault-tolerant workflows supporting underwriting, borrower onboarding, fulfillment, servicing, and operational lending processes.
Develop durable execution patterns including retries, checkpointing, recovery mechanisms, asynchronous coordination, and workflow resiliency.
Design distributed event-driven architectures utilizing Azure Service Bus, Event Grid, APIs, and messaging services.
Build highly scalable AI execution infrastructure capable of orchestrating complex multi-step business workflows.
Continuously optimize workflow performance, scalability, and operational efficiency across AI-enabled platforms.
Architect and deploy cloud-native applications using Microsoft Azure services.

Requirements

What you’ll need

Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related technical discipline (or equivalent practical experience).
7+ years of software engineering, platform engineering, or distributed systems experience.
3+ years of hands-on experience designing and deploying cloud-native applications within Microsoft Azure.
Strong experience building distributed systems and event-driven architectures.
Experience implementing workflow orchestration platforms such as Temporal, Camunda, Azure Durable Functions, or similar technologies.
Proficiency in one or more programming languages including Python, TypeScript, Go, or C#.
Experience with Kubernetes, Docker, CI/CD pipelines, and Infrastructure-as-Code solutions.
Strong knowledge of API development, microservices, distributed messaging, and enterprise integration patterns.
Excellent analytical, problem-solving, collaboration, and communication skills.
Ability to thrive in fast-paced, highly collaborative engineering environments.

Benefits

Comp & perks

Competitive Base Salary
Annual Performance Incentives
Comprehensive Medical, Dental & Vision Coverage
401(k) Program
Paid Time Off & Company Holidays
Professional Development & Technical Training
Opportunities to work with cutting-edge AI, Azure, and cloud-native technologies
Exposure to enterprise-scale AI, automation, and digital transformation initiatives
Collaborative engineering culture focused on innovation, learning, and continuous improvement