Top Remote Software Engineer Jobs in Tampa Bay, FL

The Senior Full Stack Software Engineer will lead technical vision and architecture, develop software for autonomous drones, and mentor team members, ensuring high-quality delivery and system health.

The Senior Software Engineer will lead development, mentor engineers, and create data solutions using TypeScript, React, and Python. Responsibilities include designing applications, driving innovation, and ensuring high-quality user experiences.

As a Senior Software Engineer at Aspire, you'll lead the development of user-facing features, manage complex projects, and collaborate with cross-functional teams to enhance product functionality.

The Senior Software Engineer will develop a new Managed Service Provider solution for mobile security, focusing on feature development and complex projects, guiding initiatives from design to deployment.

The Senior Salesforce Developer will lead the Salesforce platform's technical health, focusing on quote-to-cash workflows and revenue operations while managing integrations and system migrations.

Lead and own the technical systems and teams that run operations, redesign GTM architecture for AI, manage managers and ICs, drive company-wide AI-native capabilities, and personally deliver high-priority technical initiatives that improve business outcomes.

Build and evolve a large-scale search and reporting platform: design and implement streaming data pipelines, improve search relevancy and indexing, scale systems 10x, control costs, ensure production readiness (testing, monitoring, reliability), support escalations, and collaborate on architecture, code reviews, and hiring.

Founding iOS Engineer to build the app's core intelligence layer. Must implement production CallKit and on-device continuous Speech Framework recognition, integrate with SwiftUI/CoreData, and optionally add Dynamic Island Live Activity via WidgetKit. Equity-only founding role; product details under NDA.

Drive technical direction and architecture across teams for enterprise retail software. Improve platform reliability and performance, scope customer-facing features, mentor engineers, de-risk large work, and embed AI-native practices (LLMs/agents) into engineering workflows.

Build scalable backend services and data pipelines to process large healthcare datasets, integrate and optimize LLM-driven features, implement observability and best practices, collaborate across frontend, data, and AI teams, and own end-to-end feature delivery for production systems.