Top Remote Senior Level Salesforce Developer Jobs in Phoenix, AZ

Design, implement, test, deploy, and maintain backend services and infrastructure for large-scale web data ingestion and processing; debug live systems, review designs and code, and contribute to distributed crawler and backend tooling.

Lead development and optimization of web scraping pipelines to extract, clean, and store large-scale web data. Handle dynamic content, pagination, distributed scraping, database design with NoSQL, deploy jobs to cloud, and monitor systems for reliability and data quality. Support ML-based data cleaning and categorization.

Design, build, and optimize scalable real-time and batch data pipeline infrastructure. Develop backend features focused on reliability and performance, write well-tested code, review technical designs, and contribute to infrastructure across mobile, desktop, and server systems.

Lead front-end development using React and JavaScript to build responsive, high-performance web applications. Collaborate with UX designers, build reusable components, implement dynamic forms and drag-and-drop features, optimize for cloud deployment and security, mentor junior developers, and maintain design standards and testable, maintainable code.

Build, operate, and scale core data services and APIs to process, store, and deliver large-scale patient health records with low latency and high availability. Provide technical leadership, contribute to architecture and design, collaborate with product and engineering teams, and coach engineers.

Design, develop, and deliver end-to-end Salesforce solutions including integrations, reporting/dashboards, Einstein Analytics, and AI/NLP-powered agents. Collaborate with stakeholders, establish best practices for dataflows, CI/CD, PaaS/IaaS deployments, and drive technical architecture across Salesforce implementations.

Provide Oracle-backed website and database architecture, develop online reporting and OLT applications, administer WebLogic and middleware, ensure 508 accessibility, manage SSL/SSL tooling, perform scripting and Java development, migrate to government Azure, run security scans, and produce technical and recovery documentation.

Lead two engineering teams owning the WMS platform: people management, predictable sprint delivery, platform enhancements, production reliability, incident leadership, and cross-team alignment with product and peers.

Lead and scale a multi-team engineering organization owning Billing, TMS, WMS, and LMS. Manage five engineering managers and a Principal Engineer, drive billing automation, deliver a standalone TMS/Parcel system, improve network LMS efficiency, and ensure WMS reliability and international scalability. Build cross-functional partnerships with Finance and Parcel, make organizational design decisions, coach managers, and prioritize technical investments to deliver measurable cost and revenue outcomes.

The Senior Solutions Architect for Microsoft AI will lead presales activities, develop AI solutions, and manage client engagements, ensuring integration across platforms.

Develop and operate Java Spring Boot microservices, deploy and manage services on Kubernetes, perform JVM profiling and heap analysis, load test, diagnose memory leaks, OOMs and P99 latency spikes, remediate security vulnerabilities, and maintain GitHub-based CI/CD and branching workflows.

Design, build, and maintain scalable Java/Spring Boot backend services and RESTful microservices. Implement event-driven architectures with Kafka, manage PostgreSQL schemas and queries, ensure performance and security, troubleshoot production issues, collaborate across teams, participate in code reviews, and operate services on Kubernetes with CI/CD workflows.

Owner of full-stack platform work: evolve backend services, cloud infrastructure, and React front-end. Design and operate distributed, event-driven systems, improve APIs and databases, mentor engineers, and use AI tools to enhance development and reviews while communicating trade-offs to stakeholders.

Design, build, and maintain backend workflow orchestration and analyzer integrations for the ECL platform. Manage analyzer state transitions, runtime event handling, and legacy modernization; extract shared .NET libraries, collaborate with integration and QA, and support knowledge transfer.