Top Remote Software Engineer Jobs in Tampa Bay, FL

Develop and maintain backend infrastructure for Arbitrum, focusing on distributed systems, blockchain scalability, security, performance, compiler pipelines, SDK frameworks, microservices, databases, and API architecture. Responsibilities include maintaining Nitro Testnode, reviewing code, supporting stakeholders, collaborating with research and security teams, and driving technical roadmaps for high-performance blockchain systems.

Build and improve Go backend services, GraphQL APIs, relational data models, background jobs, and third-party integrations. Write SQL, automated tests, and production fixes while improving reliability and performance through logs and metrics. Collaborate with product, design, mobile, and frontend engineers to ship collector-facing features. The role requires ownership, clear communication, fast learning, and comfort working in a small, rapidly changing startup environment.

Own Salesforce Marketing Cloud technical development, including data extensions, SQL segmentation, journeys, automations, APIs, integrations, personalization, QA, governance, compliance, reporting, and data quality. Maintain Marketing Cloud Connect and Knak integrations, protect healthcare-related data, manage consent workflows, and ensure accurate data flows across Salesforce and reporting platforms. Partner closely with Lifecycle Marketing and Marketing Analytics teams across multiple brands and business units.

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.

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.

Provides technical leadership for a platform initiative by defining architecture, scalability, and long-term engineering strategy. Designs APIs, data pipelines, integrations, and distributed services; leads complex initiatives; manages dependencies and cross-functional execution; improves reliability, observability, and operational efficiency; evaluates technical risks and emerging technologies; and influences product roadmaps and technical direction across teams.

Deliver technical masterclasses on transforming traditional software development lifecycles for agentic engineering. Present concrete before-and-after examples covering task specifications, code review, QA, releases, human oversight, MCP, agent configuration, and AI-generated code quality gates. Collaborate with Nebius Academy’s curriculum team to create or adapt educational materials and potentially contribute to future sessions.