Top Software Engineer Jobs in Tampa Bay, FL

Build and maintain end-to-end features across backend (Node.js/TypeScript, Python) and frontend (React/TypeScript). Model Postgres schemas, integrate queues (QStash/Upstash), deploy on Cloudflare edge, write tests, enforce CI/CD, and harden systems for security and performance in regulated environments.

Build and scale accounting software synchronization solutions connecting BILL’s payment network with third-party accounting platforms. Lead end-to-end software design and delivery, develop scalable AWS microservices, improve platform performance, guide testing and CI/CD practices, resolve customer problems, mentor engineers, and use generative AI to accelerate development.

Support software development across frontend, backend, web, and mobile applications. Responsibilities include developing with WordPress, React, Next.js, Flutter, and Java; testing and maintaining applications; participating in code reviews; collaborating with teammates; and staying current with software development technologies.

Develop and maintain internal applications and AI agents using Microsoft Power Platform, APIs, databases, Copilot Studio, and Azure. Support Agile delivery, automated testing, enterprise integrations, conversational AI, intelligent automation, security and compliance standards, performance monitoring, documentation, and cross-functional solution design. The role is remote with occasional travel and offers foundational development experience.

Designs and directs development of scalable software systems using AI-assisted engineering practices. Owns architecture, APIs, data models, testing strategy, security, reliability, observability, deployment, and production operations. Decomposes work for AI agents, validates generated code and tests, leads incident response, and coaches engineers on effective AI-enabled development. Requires full-stack experience, modern server-side development, event-driven systems, cloud infrastructure, regulated-data security, and production use of agentic AI.

Leads enterprise software development, platform integrations, custom scripts, and cloud architecture. Manages the software development lifecycle from requirements through deployment, collaborates with stakeholders, mentors engineers, and directly contributes to frontend, backend, and cloud solutions. Oversees third-party enterprise tools, databases, APIs, serverless systems, QA coordination, technical processes, and cross-departmental engineering initiatives.

Builds simulation infrastructure and software-in-the-loop sensor simulation products that help customers test and validate autonomous driving, drone delivery, eVTOL, robotics, and other physical AI systems safely at scale.

Provide technical implementation, configuration, integration, and customer support for real-time Concurrent Real-Time products. Assist with system setup, benchmarking, latency optimization, troubleshooting, training, demos, and proof-of-concept deployments. Collaborate with R&D to reproduce issues and validate fixes, produce documentation and solution guides, support pre-sales, and travel to customer sites (30–40%).

Develops, tests, maintains, and sustains software applications using APIs, low-code/no-code platforms, BPMN automation, MuleSoft, .NET, and SQL Server. Translates requirements into program specifications, supports application design and modifications, and contributes to testing, documentation, and reporting. The role requires agile and hybrid development experience, a MuleSoft certification, DoW-approved IAT Level I certification, a relevant degree, and an active Secret clearance.

Lead and mentor a software engineering team, provide technical guidance, drive architecture and engineering excellence, manage sprint execution, collaborate on product roadmaps, ensure scalable and reliable systems, foster continuous improvement, and support recruiting and onboarding. The role requires balancing technical strategy with business impact while developing high-performing engineers.