Doran Jones Inc.

Operations

• Lead end-to-end delivery of large-scale IT operations transformation programs, ensuring alignment to business and technology objectives
• Define and execute multi-year transformation roadmaps, including milestones, dependencies, risks, and success metrics
• Establish and manage program governance, including reporting, decision frameworks, and execution cadence
• Drive execution discipline across multiple workstreams, ensuring timely delivery, risk mitigation, and issue resolution
• Lead transformation initiatives across cloud infrastructure, hosting platforms, observability/monitoring, and network operations
• Partner with architecture, engineering, and operations teams to translate strategy into executable plans
• Drive adoption of modern IT operations practices, including automation, AIOps, intelligent monitoring, and predictive incident management
• Lead outsourcing and managed service transitions, including vendor coordination, service integration, and SLA alignment
• Build strong relationships across stakeholders, including engineering, security, operations, and executive leadership
• Lead change management efforts to ensure the successful adoption of new operating models and technologies
• Provide clear, executive-level communication on program status, risks, dependencies, and key decisions

Program Leader – IT Operations, Technology Transformation

Frontend Engineer

• Lead architecture, design, and delivery of C#, Python, and React-based solutions supporting high-volume trading.
• Ensure performance, scalability, resilience, reliability, and regulatory compliance across cloud environments (AWS/Azure).
• Collaborate with business and operations teams to translate requirements into technical solutions.
• Mentor engineers, establish best practices, and build a culture of technical excellence.
• Oversee delivery execution: backlog management, sprint planning, and reporting.

Lead Software Engineer, C#/React

Backend Engineer

• Design and build AI-enabled applications that enhance healthcare workflows and operational systems
• Develop backend services using Java and Spring Boot within a microservices architecture.
• Build modern React-based user interfaces that surface AI insights and automation.
• Integrate machine learning models, LLMs, and AI services into application workflows.
• Develop and maintain APIs and microservices supporting AI-driven features
• Collaborate with data engineers and ML engineers to integrate models into production systems.
• Participate in the modernization of legacy applications into scalable cloud-native services.
• Work across the stack to improve performance, scalability, and reliability
• Contribute to architectural decisions and engineering best practices.

AI Engineer – Full Stack, Java

AI Engineer

• Design and build scalable data pipelines that support machine learning and AI-driven applications
• Develop and maintain ML-ready data infrastructure across structured and unstructured healthcare datasets.
• Implement data ingestion, transformation, and feature engineering pipelines.
• Build services that expose ML models and AI capabilities to internal applications and APIs
• Work with engineering teams to integrate AI functionality into modernized healthcare platforms.
• Help migrate legacy data architectures to cloud-native data platforms
• Implement best practices for data governance, data quality, and observability
• Collaborate with product and engineering teams to deliver AI-powered healthcare solutions
• Contribute to the development of ML pipelines, model deployment workflows, and AI platform tooling

AI Engineer, Data / ML Platform

Data Engineer

• We are seeking a hands-on Data Engineer with strong Databricks and PySpark experience to build scalable data pipelines and analytics applications within a modern data platform.
• This role focuses on modernizing legacy ETL and reporting systems (Teradata, Informatica, Tableau) into Databricks-native pipelines, dashboards, and Python-based data applications. The ideal candidate operates across both data engineering and lightweight application development.

Databricks, PySpark Data Engineer

Full-stack Engineer

• Design and develop solutions across Microsoft Dynamics CRM (On-Prem) and Dynamics 365 Online environments
• Collaborate with architects, developers, and business stakeholders to deliver scalable CRM solutions
• Build and customize CRM components, including plugins, workflows, Power Automate flows, PCF components, and integrations using Web API/SDK
• Support deployments and environment management across CRM On-Prem and Dynamics 365 Online platforms
• Participate in Agile sprint planning, effort estimation, and release delivery
• Troubleshoot and resolve complex issues across CRM platforms and integrated enterprise systems
• Mentor team members and promote best practices across CRM, DevOps, and CI/CD development processes
• Contribute to broader engineering initiatives, including .NET services, Azure integrations, and enterprise applications

Senior Microsoft Dynamics CRM Developer, Software Engineer

• Build and enhance a front-end heavy React application supporting pre-trade compliance and control workflows
• Develop and maintain backend services using .NET/C# and Python within a microservices architecture
• Designed, deployed, and maintained scalable cloud infrastructure using AWS services
• Improve platform stability, performance, and scalability while delivering new features
• Work within AWS infrastructure across cloud-native services and deployments
• Own production support and issue resolution during U.S. hours, coordinating closely with offshore teams
• Collaborate with trading, compliance, and product stakeholders in a high-visibility environment
• Participate in design discussions and contribute to technical improvements across the platform

Senior Software Engineer – Full Stack, C#/React.js

• Reverse engineer legacy monolithic and n-Tier .NET applications to understand architecture, business rules, data flows, and integration points
• Analyze poorly documented systems to extract functional and non-functional requirements
• Produce current-state architecture diagrams, data flow models, and dependency maps
• Identify technical debt, architectural anti-patterns, and modernization risks
• Design target state architectures to decompose monolithic systems into modular services, including microservices where appropriate
• Define modernization strategies, including strangler patterns, phased migrations, or parallel-run approaches, to minimize business disruption
• Lead refactoring initiatives to improve maintainability, scalability, and performance
• Analyze legacy database schemas, stored procedures, and embedded business logic to inform modernization decisions
• Support data migration and transformation strategies during system transition
• Translate complex legacy findings into clear documentation for technical and non-technical stakeholders
• Partner with business SMEs to ensure technical designs align with operational workflows and compliance requirements