Top Software Engineer Jobs in Tampa Bay, FL

Leads the technical vision and engineering team for a high-throughput data and event platform. Oversees scalable distributed data systems, pipelines, databases, cloud infrastructure, data governance, and system integration. Partners with AI, ML, analytics, and platform teams to expand self-service capabilities, manages technical debt and architecture decisions, prioritizes projects, and recruits and mentors engineers.

Lead the architecture, development, and deployment of scalable APIs and backend systems for Afresh’s AI-powered grocery ordering platform. Partner with product, account management, design, and engineering teams to deliver integrated solutions used across thousands of stores. Drive projects from conception through launch, make high-impact architectural decisions, understand complex business dependencies, and mentor junior engineers.

Serve as a senior database administrator supporting enterprise SQL Server and Oracle environments. Responsibilities include database design, configuration, performance optimization, backups and restores, high availability, disaster recovery, security, data governance, reporting, capacity planning, troubleshooting, patching, and system monitoring. The role also involves stakeholder coordination, technical planning, client interaction, continuity exercises, and support for distributed systems and SQL clusters.

Lead full-stack .NET development, legacy application modernization, accessibility auditing, and code remediation. Develop accessible web interfaces and PDF reports compliant with WCAG 2.1/2.2 AA, WAI-ARIA, and Section 508. Use C#, ASP.NET Core, JavaScript, Telerik, CSS, Crystal Reports, screen readers, automated scanning tools, and AI-assisted engineering tools. Configure CI/CD pipelines, manage Git workflows, and support testing and release engineering.

Lead a team of engineers delivering product content and capabilities, including scripts, data sources, application catalogs, updates, vulnerability data, and reports. Own scalable automation pipelines for content generation, validation, and deployment; guide technical decisions from design through production; improve reliability and efficiency; and apply AI to content creation and delivery. Requires strong software engineering fundamentals, production systems experience, Node.js, JavaScript, TypeScript, Python, and AWS expertise.

Rapidly prototype and ship production software using AI-powered coding tools. Work directly with clients and users to understand problems, define requirements, design solutions, and collaborate with engineers, product managers, and designers. Test features for functionality, UX, and performance; document requirements and technical specifications; and align with the Tech Lead on architecture and priorities. The role requires full-stack web development, relational database proficiency, strong communication, prompt engineering, and comfort in a fast-paced remote environment.

Design and maintain scalable services, APIs, distributed systems, and data pipelines for AI training data infrastructure. Own systems through design, implementation, testing, deployment, and monitoring. Lead architectural decisions, improve reliability and scalability, mentor engineers, and collaborate with AI/ML, product, and data operations teams. Contribute to CI/CD, containerization, DevOps, and cloud deployment practices.

Build and scale full-stack applications, backend services, APIs, infrastructure, and user experiences supporting millions of users. Design reliable, high-performance systems; partner with Product, Design, and Data; own projects through deployment and optimization; improve observability and developer productivity; and support AI adoption through automation and AI-powered workflows.

Design, develop, and improve scalable software for an investment platform. Lead software development across the lifecycle, mentor junior engineers, solve complex technical problems, maintain code quality through testing and reviews, and recommend technology enhancements. The role is remote in the USA with four in-person retreats annually.

Build and enhance electricity cost modeling REST APIs and DBT data pipelines that simulate nationwide energy costs. Translate product and subject matter expert requirements into technical designs, specifications, and implementation plans. Participate in design reviews, improve engineering practices, and collaborate with remote teams. The role involves Python, enterprise Java, cloud deployment, data science tools, NoSQL databases, AI/LLM implementation, and mathematical energy analytics.