Top Software Engineer Jobs in Jacksonville, FL

Lead the design, development, and operation of integrations and API products. Establish standards for API contracts, authentication, authorization, versioning, reliability, observability, documentation, and developer experience. Drive cross-team system architecture, production readiness, scalability, security, and resilience while mentoring engineers and aligning technical decisions with product and business goals.

Architect and evolve Navan’s frontend platform across 20+ engineering teams. Build micro-frontend infrastructure, shared libraries, developer tools, AI-assisted coding workflows, testing standards, and reusable AI experience components. Drive framework migrations, performance optimization, reliability, security, and adoption of engineering standards. Collaborate with Security, AI platform, Product, and engineering teams while mentoring developers and measuring delivery, quality, reliability, and AI workflow outcomes.

The Founding Engineer will lead the development of Sailor Health's AI-powered platform, building systems for patient care and mentor the engineering team.

Contract Salesforce Technical Architect responsible for designing, developing, testing, deploying, and reviewing secure, scalable Apex-based solutions. The role includes Salesforce integrations, Lightning components, code reviews, technical design, implementation consultant support, client communication, documentation, and AI-assisted development. Candidates must ramp quickly, support active professional services engagements, and complete a structured handoff at the end of the contract.

Own and administer Workato automation connecting Salesforce, Zendesk, and operational systems. Build and maintain enterprise integrations, troubleshoot production failures, implement monitoring and error handling, and automate inefficient processes. Partner with Salesforce administrators, technical program managers, and developers while establishing reliable data architecture and system-of-record boundaries.

Build the core AI platform for an AI-native trading experience. Develop a high-performance Rust backend supporting streaming responses, low-latency tool execution, caching, and model orchestration. Design secure, observable APIs and runtime components with authentication, authorization, rate limiting, auditing, tracing, retries, and fallbacks. Build safe trading action infrastructure with deterministic previews, confirmations, idempotency, and audit logs while partnering with product and frontend teams.

Leads Deepgram’s GTM Engineering function, owning CRM, CPQ, forecasting, billing, data, integrations, automation, and internal tooling. Translates commercial needs into scalable systems and AI-powered workflows, establishes engineering standards, connects usage and revenue data, and partners with Product, Engineering, Finance, and Data teams. This player-coach role designs, codes, tests, ships production systems, and develops a small team while prioritizing automation and operational leverage.

Own and deliver highly available, low-latency backend identity systems supporting consumer onboarding, authentication, and verification. Lead quarterly team goals, guide engineers through ambiguous problems, collaborate with product and design partners, monitor system reliability, improve engineering standards, support on-call operations, and mentor team members. The role requires designing and launching distributed systems at scale using Python or Kotlin, AWS, MySQL, and Kubernetes.

Lead the mobile engineering team in evolving iOS and Android applications toward an AI-native, thin-client architecture. Define participant API and platform direction, contribute Python to backend services, establish AI-assisted development processes, improve DevOps and continuous delivery, mentor engineers, and partner closely with Product and Design. The role requires principal-level technical leadership, product focus, system architecture expertise, and hands-on use of AI coding agents.

Leads technical strategy, architecture, and engineering execution across Atlassian’s Rovo Chat, Search, Growth, Apps, and Clients experiences. The role drives scalable AI foundations, Search and Chat convergence, personalization, experimentation, reliability, security, and operational excellence. It involves leading cross-organizational initiatives, partnering with product, design, data science, and machine learning teams, mentoring senior engineers, and shaping multi-year technical roadmaps for customer-facing applications.