Top Software Engineer Jobs in Miami, FL

Lead design and implementation of core platform infrastructure for an Agentic AI platform. Build high-performance Rust systems, support production deployments, collaborate with ML engineers, design scalable data architectures, troubleshoot performance and scalability issues, and cultivate a collaborative, inclusive engineering culture.

Own and scale Adobe Experience Platform and Real-Time CDP implementations. Design data collection architecture using Web SDK, Edge Network, and datastreams; govern XDM schemas, identity, datasets, and data quality. Develop tagging, CJA connections and views, audience activation, privacy frameworks, and event-driven data layers. Troubleshoot ingestion and identity issues, integrate Adobe ecosystem tools and downstream systems, and collaborate with stakeholders on scalable technical solutions, governance, documentation, and enablement.

Leads the Bioinformatics Software Engineering team and owns engineering strategy, architecture, delivery, modernization, and production support for clinical genomics platforms. Oversees software engineers, bioinformatics workflows, data integration, automation, quality systems, release governance, reliability, and regulatory compliance. Partners with clinical, laboratory, scientific, quality, product, operations, and executive stakeholders to convert research methods into validated production workflows. Guides AI-enabled engineering initiatives while ensuring privacy, traceability, clinical-grade quality, and operational resilience.

Administers and develops Oracle EPM Cloud and Hyperion financial planning systems. Responsibilities include managing security and user access, maintaining nightly and close processes, troubleshooting integrations, developing enhancements with Groovy and EPM Automate, coordinating patching and regression testing, writing technical specifications and test plans, supporting data governance, analyzing issues, and creating stakeholder training materials. The role collaborates with IT and business teams to deliver reliable, scalable financial systems.

Build and operate integrations, data pipelines, SSO and rostering flows for large school districts. Work directly with district stakeholders to design, implement, customize, debug, launch, and stabilize production solutions. Develop full-stack features, migrate and reconcile sensitive data, add testing and observability, and convert recurring customer needs into reusable platform capabilities. Balance customer requirements with security, maintainability, and long-term platform health.

Design, build, maintain, and scale production backend services and integrations. Debug cross-service production issues, lead architecture and technical decisions, mentor engineers, improve engineering standards and tooling, release backward-compatible APIs, implement auto-scaling services, and architect real-time systems for syncing large data volumes.

Build and maintain full‑stack TypeScript web applications, design RESTful APIs and microservices, optimize frontend and backend performance, write tests, participate across the development lifecycle, perform code reviews, and collaborate with product and design to ship scalable travel‑management features.

Define architecture and technical direction for Catalyst’s distributed data platform, including messaging, state management, reconciliation, streaming, storage, CI/CD, and Kubernetes operations. Build Go and Python frameworks, improve reliability and SLOs, lead incident response, maintain secure dependency and artifact delivery, and develop infrastructure automation. Collaborate across teams and with customers, review designs and code, establish engineering standards, and travel internationally up to 25% to support mission-critical deployments.

Design, implement, and support high-performance storage and query infrastructure handling billions of events. Independently scope and deliver complex projects, optimize query performance, improve reliability, participate in on-call rotations, define KPIs and SLOs, reduce operational toil, debug production issues, collaborate cross-functionally, and mentor engineers.

Develop open source SDKs, enterprise APIs, UIs, and backend systems supporting large-scale computer vision datasets. Build scalable, maintainable, performant, and well-tested software for unstructured data and AI workflows. Contribute to enterprise deployments across customer clouds and on-premises environments, while improving tooling, automation, engineering practices, and open source community initiatives in a remote-first team.