Top Remote Python Jobs in Miami, FL

Build and maintain backend computation engines for solar and electrical design. Develop simulation and optimization systems for PV and battery storage layouts, component selection, and electrical configuration. Translate physical models into reliable, scalable software, shape computation infrastructure, write tested code, mentor teammates, collaborate cross-functionally, and own services through production and on-call support.

As a Mojo Libraries Engineer, you'll design and implement libraries for Mojo, focusing on performance and integration with AI systems, collaborating with multiple teams to optimize algorithms and deliver high business impact.

Lead technical vision and architecture for the Mojo compiler backend: IR lowering, optimization passes, and code generation across CPUs, GPUs, and AI accelerators. Drive MLIR/LLVM initiatives, expand debugging and profiling tooling (LLDB/GDB, LSP, profilers), mentor engineers, collaborate with cross-functional teams, and engage with the open-source community to shape developer tooling and compiler strategy.

Build, test, release, and maintain native Android and iOS applications across a portfolio of consumer mobile products. Use Kotlin, Swift, modern mobile frameworks, automated testing, analytics, experimentation, and AI coding agents to deliver high-quality software. Collaborate with product, design, marketing, operations, and engineering teams, measure user impact, manage app-store releases, and adapt across codebases and product pods.

Support technical integrations between Sentrycs C-UAS technology and partner C2 or system-of-systems platforms. Configure, test, validate, and troubleshoot REST APIs and software interfaces; collaborate with Product, Engineering, and Customer Success teams; document requirements, configurations, issues, and resolutions; support technology partners; and drive integration problems through resolution. The role requires developing deep API and integration expertise while working with globally distributed teams.

Build and maintain 3D pipeline integrations, plugins, exporters, and platform connections across DCC tools and SaaS destinations. Own integrations from scoping through deployment, documentation, release, and support. Ensure asset fidelity across formats, materials, textures, scene scaling, and color spaces while troubleshooting complex multi-system pipelines. Collaborate with internal engineering teams, external platform vendors, and customers to resolve integration constraints and extend the shared integration framework.

Build and automate cloud cost optimization and governance across AWS and GCP. Analyze billing and usage, identify and implement savings, maintain cost attribution, create reporting and anomaly detection, and write Python, Terraform, and Lambda automation. Partner with Engineering, Finance, Product, and leadership on architecture tradeoffs, forecasting, budgeting, and cost accountability.

Build and support consumer-facing full-stack features for an energy-saving platform. Responsibilities include developing TypeScript/React frontend and Python backend functionality, owning critical product flows, collaborating with product and analytics teams, working with cloud and database technologies, implementing UI and API monitoring, and participating in code reviews and agile development processes.

Develop and launch scalable web and mobile healthcare applications, APIs, integrations, and cloud infrastructure. Contribute to the technical roadmap, observability, security, compliance, and AI/ML infrastructure. Partner with the founding team and data science leadership to incorporate LLMs, support HIPAA and SOC 2 requirements, and build reliable products for patients and enterprise healthcare customers.

Architect, build, and support reliable network infrastructure and automation for Akamai’s distributed cloud platform. Develop Bash and Python tooling, establish deployment standards, define SLOs, mentor engineers, and troubleshoot complex network issues. The role requires expertise in large-scale distributed systems, TCP/IP, BGP, Linux networking, configuration management, CI/CD, and open-source networking software, with participation in on-call rotations.

Leads development of scalable backend systems and applications for the Mindbody ecosystem. Responsibilities include designing APIs and microservices, owning complex technical projects, collaborating with Product, Design, and QA, promoting engineering best practices, mentoring engineers, conducting code reviews and interviews, and leading incident postmortems. The role requires strong software architecture experience, large-scale SaaS development, cloud and database expertise, and effective cross-functional leadership.

Build realistic simulation environments, tools, and infrastructure for autonomous boats, drones, ground vehicles, and multi-agent systems. Develop configurable scenarios, sensor models, agent behaviors, closed-loop SIL and HIL workflows, replay and regression testing, and automated scenario evaluation. Integrate simulations with autonomy stacks, mission software, command-and-control systems, and data pipelines. Improve simulation scalability, fidelity, debugging, and developer workflows while helping engineering teams reproduce field failures and validate systems before deployment.

Supports client integrations, DevOps monitoring, ERP and practice management system transitions, and technical escalations. Builds and customizes Boomi processes, validates data flows, monitors integration health, investigates alerts, performs root-cause analysis, and resolves synchronization issues across APIs, databases, ERP, PMS, and SaaS environments. Communicates with client technical teams during incidents and migrations, coordinates fixes, documents recurring issues, and improves integration performance and reliability.

Own reliability, performance, scalability, and operational standards across on-premises, private-cloud, and AWS environments. Build infrastructure-as-code, deployment automation, monitoring, alerting, and observability tooling; define SLOs, SLIs, error budgets, and readiness standards. Lead incident response, root-cause analysis, disaster-recovery readiness, release coordination, and preventive automation. Mentor engineers, coach teams on operational practices, coordinate on-call coverage, and ensure infrastructure meets security and compliance requirements.

Leads API and UI automation testing by designing Playwright frameworks, building REST test suites, and validating backend functionality with Python. Integrates regression testing through Selenium Grid and Jenkins, reviews AI-generated automation scripts, creates Devin Playbooks, and supports test strategy, defect resolution, sprint activities, and SDLC quality. Mentors junior automation engineers in traditional and AI-assisted quality engineering practices.

Owns end-to-end delivery of production data platforms for utility clients, including discovery, architecture, ingestion, transformation, orchestration, governance, quality, deployment, and handover. Uses Databricks, Spark, Python, SQL, and AWS to modernize legacy systems, integrate utility data sources, build observable pipelines, and deliver operator-facing applications. Leads client engagements, manages scope and timelines, supports migrations, and contributes reusable engineering frameworks and reference architectures.

Designs, builds, and scales automation for secure hybrid infrastructure. Responsibilities include CI/CD, infrastructure as code, cloud architecture, configuration management, monitoring, logging, security, network operations, containerization, and self-healing systems. The role maintains mission-critical production environments, develops performance metrics, resolves root causes, and collaborates cross-functionally to improve reliability and operational efficiency.

Leads a DevOps engineering team while contributing hands-on to infrastructure as code, release automation, scalable architecture, CI/CD, zero-downtime deployments, code reviews, and production support. Responsibilities include mentoring engineers, coordinating sprints, partnering with product and platform teams, and delivering secure, reliable infrastructure using Ansible, Molecule, Terraform, AWS, scripting, Jenkins, Docker, and GitHub.

Senior Software Engineer responsible for compliance validation, defect remediation, production migration support, monitoring, and operational documentation for a federal ESA Section 7 data integration platform. The role validates decision logic and consultation routing, develops migration runbooks and rollback procedures, resolves critical application defects, supports post-deployment operations, incorporates user feedback, and enforces code review and version control practices.

Designs, builds, and optimizes CI/CD pipelines across legacy mainframe and AWS environments. Automates workloads, integrates testing, maintains APIs, supports application integration, troubleshoots deployment issues, and improves DevOps processes. The role also supports software developers in an Agile/Scrum environment and contributes to modernization efforts bridging z/OS systems with cloud platforms.

Leads end-to-end customer engagements integrating software with government data systems. Designs and builds custom workflows, translates ambiguous requirements into technical plans, debugs production issues in constrained environments, documents decisions, reviews code, mentors engineers, and makes delivery trade-offs. Requires customer-facing software engineering experience, data integration expertise, and willingness to travel to U.S. military installations.

Integrate the company platform with government data and systems, onboard imperfect data, configure workflows, support releases, resolve customer issues, and build production software. The engineer owns workstreams end to end, collaborates directly with customers, supports deployments in constrained government environments, travels to military installations, and feeds field insights back into product development.

Build and validate challenging codebase-exploration tasks for AI agents using production Python repositories. Responsibilities include investigating runtime behavior and issue history, rewriting questions, refining rubrics and foils, running validation workflows, documenting solutions, and addressing expert review. The role is fully remote, asynchronous, contract-based, and task-paid, with work performed in a dedicated Studio environment.

Build and own automation systems that eliminate friction across engineering, operations, and compliance. Responsibilities include regulatory workflow automation, CI/CD and developer productivity tooling, AI- and LLM-enabled internal workflows, system integrations, and reliable production software with testing, observability, auditability, and failure handling.

Build and lead UpDoc’s software quality engineering function for regulated, safety-critical healthcare technology. Own risk-based testing, traceability, verification evidence, automated test frameworks, CI/CD integration, defect management, release readiness, and failure investigation across web applications, APIs, integrations, and clinical workflows. Partner with Engineering, Clinical, Product, and Quality/Regulatory teams while establishing scalable quality processes and mentoring a growing team.