Top Remote Python Jobs in Miami, FL

Build and own production entity-resolution capabilities, including blocking, candidate generation, pairwise scoring, clustering, threshold policies, deduplication, and known-entity checks. Develop provenance systems for traceable, explainable graph relationships and matching decisions. Evaluate matching performance, document implementation logic, and balance false merges against false splits. Work remotely with occasional travel while supporting government mission applications.

Own database performance, reliability, observability, migrations, capacity planning, backups, and recovery for a distributed CockroachDB environment. Diagnose query, indexing, schema, contention, and transaction issues; guide database design and changes; support incident response; improve operational practices; and mentor engineers across infrastructure, platform, and application teams.

Own and evolve a shared engineering platform spanning cloud infrastructure, delivery tooling, reliability, security, authentication, and deployment. Build backend and full-stack solutions, improve production availability, lead platform projects and technology decisions, and support internal engineering teams through shared tooling, documentation, reviews, and coaching. Participate in on-call rotations and help scale an established product platform.

Operate and automate the companys data infrastructure as an SRE: build IaC and self-service tooling for provisioning, scaling, failover, and recovery; optimize relational and non-relational datastores; define SLOs and observability; integrate pipelines and messaging systems; participate in on-call and incident response; reduce operational toil.

Build and modernize Carrum Health’s data platform by developing Python and SQL pipelines, AWS services, Terraform infrastructure, dbt transformations, observability, testing, and CI/CD. Automate carrier integrations, reduce operational toil, improve reliability, and support Databricks adoption. Extend AI-assisted ingestion and classification using Bedrock and collaborate across engineering, analytics, data science, and client-facing teams. The role includes production ownership, incident response, technical documentation, and healthcare data platform development.

Provide technical leadership for Gemini’s internal engineering platform. Design and operate cloud, networking, compute, storage, CI/CD, observability, and infrastructure automation systems. Build self-service platform services, APIs, tooling, and workflows that improve developer productivity, reliability, security, and infrastructure efficiency. Lead architecture across teams, establish SLOs and production standards, coordinate incident response, automate operational toil, influence technical direction, and mentor engineers.

Own the reliability, performance, resilience, observability, and security of AWS and Kubernetes infrastructure supporting products and AI/ML workloads. Define SLOs, lead incident response and root-cause analysis, build Terraform automation, optimize cloud costs, reduce operational toil, and establish deployment standards that help engineers ship reliably. Participate in on-call rotations and maintain HIPAA-compliant infrastructure.

Staff-level platform engineer to improve and scale inherited Scala systems, redesign data layers for ML/AI, build a Rust service framework, enhance observability and resilience, shape developer tooling and standards, and work across JVM, Rust, Python, SQL, and Spark.

Designs and operates cloud and internal infrastructure, identity and access management, SaaS platforms, and automation systems. The role improves reliability, security, compliance, and operational efficiency through IAM governance, infrastructure-as-code, CI/CD, vulnerability management, patching, system hardening, monitoring, and troubleshooting. It also partners with Security, HR, and Engineering on onboarding, integrations, and audit readiness.

Develop and support enterprise full-stack applications using Java, Spring Boot, Python, React, and cloud technologies. Build secure APIs, microservices, integrations, chatbot interfaces, and conversational UI features. Deploy cloud-native applications with Azure or AWS, Docker, and Kubernetes while contributing to CI/CD, testing, monitoring, security, and architecture. Collaborate with product, engineering, architecture, and business teams in an agile environment.

Build and operate Python backend services, REST APIs, clinical data models, and batch or event-driven pipelines. Work with FHIR and HL7 healthcare data to support reliable integrations, reporting, analytics, and AI workflows. Establish data quality, validation, governance, lineage, monitoring, and auditability practices. Lead architectural discussions, review implementations, mentor engineers, and collaborate with clinical, product, analytics, and AI teams.

The Senior Solutions Engineer supports technical implementation and advisory for complex customer integrations, ensuring successful onboarding and troubleshooting while collaborating with cross-functional teams.

Serve as Vida’s first dedicated Site Reliability Engineer, modernizing Terraform, standardizing environments, improving CI/CD, scaling GCP and Kubernetes infrastructure, upgrading databases and runtimes, and strengthening monitoring, observability, security, and operational processes. The role includes building runbooks, on-call and escalation procedures, supporting enterprise launches, managing infrastructure costs, and evaluating multi-cluster Kubernetes architecture in a fully remote environment.

Develop and verify firmware for battery safety, fuel gauging, charging, thermal management, power management, USB-C, and embedded Linux systems. Build automated battery test fixtures, analyze fleet-wide metrics, diagnose returned products, profile battery runtime, and collaborate with electrical engineers and vendors. Create test plans, design documentation, and failure analyses while reviewing AI-assisted code and mentoring teammates.

Develops and maintains Jamf Cloud backend infrastructure and internal software delivery platforms. Responsibilities include infrastructure and configuration automation, CI/CD support, cloud-native service implementation, security and data lifecycle management, monitoring, incident response, disaster recovery, technical documentation, and Agile collaboration. The role participates in on-call rotations and helps scale production environments using tools such as Kubernetes, AWS, scripting languages, and configuration management platforms.

Develop and maintain Jamf Cloud production infrastructure using infrastructure as code, configuration management, serverless technologies, and containers. Build automation, support CI/CD, implement security and data lifecycle controls, maintain cloud-native services, and participate in monitoring, on-call response, disaster recovery, Agile ceremonies, and code reviews. Collaborate with product, software development, cloud, and delivery teams while documenting technical systems and processes.

Develops wafer-level photonic integrated circuit burn-in and test solutions for R&D and high-throughput production. Responsibilities include designing validation test plans and algorithms, developing hardware and software with vendors, qualifying test stations, applying Gage R&R and SPC, troubleshooting complex systems, automating instrumentation and data acquisition, analyzing results, and documenting solutions for cross-functional teams.

Leads design verification and performance validation testing for high-speed coherent and direct-detect optical components and subsystems. Develops test plans, algorithms, hardware, and software for optoelectronic characterization and instrument automation. Collaborates with PIC, ASIC, module design, and systems engineering teams to release new products. Troubleshoots complex test environments and produces detailed technical documentation.

Designs and automates electrical and optical performance validation tests for photonic integrated circuits and subassemblies. Develops test hardware, software, motion and vision control systems, and production-level test stations. Performs station qualification, Gage R&R, SPC, documentation, troubleshooting, data analysis, and cross-functional communication while tracking test development schedules and milestones.

Own and evolve patient-facing clinical application surfaces, including a React widget, clinician portal, and Python service layer. Lead full-stack architecture, AI application integrations, encounter data flows, internal tooling, versioned shared components, and operational reliability. Partner with AI engineers on LLM-enabled workflows, maintain dependencies, protect consumers from breaking changes, and mentor junior engineers. The role requires durable ownership of rapidly built systems and delivery of critical healthcare technology.

Design, build, test, operate, and improve reliable backend services and APIs. Lead projects from definition through deployment, make scalability and reliability tradeoffs, improve observability, investigate production issues, and collaborate with cross-functional teams to deliver customer-focused solutions.

Build, patch, customize, and test Linux userspace packages for Rocky Linux products. Remediate CVEs, improve package-building automation, develop automated system tests, and support deployments across servers, virtual machines, and cloud infrastructure. Collaborate on architecture, proofs of concept, documentation, capacity planning, and launch reviews while contributing to open-source development and CI/CD practices.

Leads end-to-end design, development, quality, and integration of complex software solutions and cloud services. Provides technical leadership for enterprise-wide projects, manages engineering processes, risks, dependencies, and delivery priorities, and writes code across the software ecosystem. Collaborates with multidisciplinary teams to deliver measurable, user-centric technology solutions, primarily supporting healthcare caregivers.

Lead full-stack software development across frontend and backend systems, delivering user-facing healthcare features from concept through iteration. Design APIs and application architecture, write technical specifications, improve testing and CI practices, collaborate with product, AI/ML, clinical, and UX teams, and guide cross-team technical decisions. The role involves React, Python, cloud infrastructure, databases, asynchronous workflows, and healthcare data technologies.

Designs, implements, and supports secure, highly available IBM MQ and MFT integration environments. Responsibilities include AWS cloud infrastructure, Terraform-based infrastructure automation, Python scripting, CI/CD collaboration, security, monitoring, logging, disaster recovery, troubleshooting, and optimization of enterprise messaging and cloud platforms.