Top Remote Software Engineer Jobs in Tampa Bay, FL

Designs, implements, tests, and supports clinical system integrations between hospital clients and the PerfectServe platform. Responsibilities include coding HL7 interfaces, building SSIS flat-file integrations, coordinating API integrations, validating data feeds, troubleshooting production issues, maintaining documentation, and supporting VPN, sFTP, upgrades, failover, and on-call operations. The role partners with customer technical and clinical teams and internal R&D throughout integration delivery.

Designs, develops, deploys, administers, and sustains MuleSoft Anypoint Platform and/or Informatica integrations in AWS GovCloud. Builds secure REST APIs and Mule applications, manages API gateways and lifecycle governance, implements authentication, monitoring, CI/CD, and data synchronization, and integrates Navy logistics and mission-partner systems. The role also performs testing, documentation, incident triage, performance tuning, RMF/STIG support, stakeholder coordination, and knowledge transfer.

Own ambiguous, cross-team product engineering problems from framing through launch and iteration. Partner with product, design, and data; lead architecture, reliability, performance, and technical decisions across the stack. Influence teams without formal authority, mentor engineers, improve engineering practices, use metrics and experimentation, and apply AI throughout software development. Participate in on-call support.

Own products and features end to end, from user research and ideation through MVP launches, iteration, pricing, and ongoing success. Build full-stack experiences, collaborate with design, support customers, resolve production issues, participate in on-call rotations, and write documentation. The role emphasizes autonomous product development, agent-facing software, AI-native products, and rapid shipping.

As a founding full-stack engineer, design, build, and deploy core backend services, oracle/watchtower infrastructure, and borrower-facing applications. Integrate Bitcoin transactions, PSBTs, and Discreet Log Contracts, manage SQL/NoSQL databases, contribute to architecture decisions, and wear multiple hats in a fast-paced, early-stage environment.

Lead the architecture, development, testing, and maintenance of scalable backend systems and APIs. Drive technical decisions, code quality, performance optimization, documentation, continuous delivery, and monitoring. Collaborate with product, design, and engineering teams to translate requirements into reliable solutions. Mentor junior engineers, conduct code reviews, resolve complex technical issues, and contribute to agile development and overall technology strategy.

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.

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.