Top Software Engineer Jobs in Miami, FL

This role involves data collection and integration for AI model training, operating cloud infrastructure, and collaborating on dataset roadmap for next-generation products.

As a Software Engineer in Data Infrastructure, you will enhance data collection and manage ingestion pipelines to support AI model training, collaborating closely with scientists.

The Senior Software Engineer will lead integration designs, implement APIs, ensure system resilience, mentor juniors, and enhance integration performance.

Design, develop, and maintain automated tests and frameworks for front-end and back-end systems. Execute functional, regression, and performance tests; collaborate with developers and product teams to find and resolve defects; contribute to CI/CD and testing strategy, documentation, and best practices.

Build and maintain scalable backend services and real-time device orchestration pipelines (Kafka), optimize database performance, improve CI/CD and infrastructure, mentor engineers, and contribute to frontend admin consoles using React.

Design, build, and maintain high-performance, distributed backend microservices and cloud infrastructure. Lead technical delivery, own system reliability, integrate AI and streaming pipelines, mentor peers, and collaborate with product and frontend teams to deliver scalable APIs and data architectures.

Lead technical direction and architecture for the Fable backend, own platform reliability (databases, CI/CD, queues, observability), run incident response and postmortems, mentor engineers, collaborate cross-functionally with product/design/ML, and build platform capabilities enabling faster, safer delivery.

Design, implement, and scale event-driven, distributed backend systems in Python on AWS to process and enrich large-scale document and media datasets. Lead technical projects, mentor engineers, integrate ML/LLM components, optimize performance, maintain observability, and collaborate with Data Science, ML Engineering, and Product to deliver reliable high-throughput content processing services.

As a Senior Software Engineer at Canals AI, you'll focus on backend engineering for scalability and performance, owning complex projects, and guiding a team while ensuring high-quality deliverables.

Lead design, development, and delivery of high-quality full‑stack software. Own projects end-to-end, shape architecture, mentor junior engineers, enforce code quality, collaborate cross‑functionally, and stay current with technologies.

Build and operate Developer Intelligence platform components to collect and correlate telemetry from CI/CD, source control, and test systems. Implement observability, embed AI/LLM tools for automated code review, validation, and incident triage, optimize SDLC workflows, remove operational bottlenecks, and mentor teammates while participating in design reviews and maintaining high-quality, performant code.

Lead design, development, testing, deployment, and maintenance of web applications. Collaborate with cross-functional teams, plan work, enforce architecture and security standards, mentor engineers, implement tests, manage integrations and automations, improve performance, and establish development practices.

The role involves analyzing requirements, designing, developing, testing, and maintaining application systems for contact center environments, ensuring high-quality performance and reliability.

Evaluate AI-generated coding interactions, assess quality of engineering judgments, provide feedback, and define standards for AI coding agents. Comfortable making subjective judgments about engineering quality.

The Senior Software Engineer develops and maintains application systems for contact center solutions, emphasizing design, testing, and overall system support in a fast-paced environment.

The Senior Software Engineer designs and develops application systems for the contact center, focusing on analyzing requirements, coding, testing, and ensuring high-quality support and implementation of solutions.

Design, develop, test, and deploy full-stack mobile applications (React Native and native iOS/Android), implement backend services (NestJS/Express), and integrate with cloud, CI/CD, and containerization. Lead architecture and design reviews, write automated tests, mentor junior engineers, collaborate in agile teams, and build AI-driven app features using tools like OpenAI or Anthropic.

Design, implement, test and deploy high-performance, large-scale software systems to support quantitative research and production portfolios. Own Linux/C++ codebases, apply system programming, concurrency, and data structures expertise, and collaborate with researchers to build scalable distributed and streaming data platforms.

In this role, you will enhance Speechify's product by designing APIs, optimizing functionality, and shipping backend services using Kotlin, collaborating closely with various product teams.

As a Senior Software Engineer at Speechify, you'll develop foundational services and SDKs, optimize functionality, and collaborate with product teams to enhance user experiences. You'll focus on designing efficient systems using Kotlin while working in a fast-paced and collaborative environment.

Design, develop, test, and support Salesforce platform solutions; lead technical design sessions; mentor junior developers; implement custom Apex/Lightning solutions; ensure security, performance, and scalable integrations; develop automated tests and CI/CD pipelines; collaborate with product owners and participate in Agile delivery.

Lead the design and development of an expense management platform, mentor engineering teams, and collaborate with stakeholders on product requirements.

Design, operate, and scale Compass's multi-tenant database, cache, and streaming infrastructure (Postgres, Redis/ValKey, DynamoDB, Kafka/MSK). Build SDKs and tooling in Go/Java/Python, run fleet-scale upgrades with zero downtime, develop tenant-dimensioned observability, and lead cross-team migrations and incident response.

Design, build, and operate distributed, event-driven microservices and cloud infrastructure. Lead technical delivery across the full stack with backend emphasis, integrate data pipelines and AI models, ensure high code quality and testing, produce documentation and runbooks, mentor peers, and own services through their lifecycle.

Design, build, and operate full‑stack, cloud-based microservices and frontend interfaces. Lead technical projects, integrate AI/data pipelines, ensure quality via automated tests and CI/CD, author documentation and runbooks, mentor peers, and own services across their lifecycle.