Top Remote Python Jobs in Miami, FL

Lead large-scale observability assessments and migrations across metrics, logs, and traces. Analyze telemetry volume, cardinality, retention, performance, and costs; design AWS-native OpenTelemetry architectures; build TCO models; and lead platform migration execution. Rebuild pipelines, dashboards, alerts, retention policies, ownership tagging, and instrumentation standards. Serve as a player-coach and primary technical contact for customer engineering leadership while delivering architecture, migration, commercial, and executive recommendations.

Architects and owns highly available infrastructure and Kubernetes-based platforms supporting autonomous systems. Builds Golang backend services, platform tooling, observability systems, dashboards, alerts, and log aggregation. Partners with product teams to launch services, performs performance analysis, manages cloud upgrades, and participates in incident response and postmortems. Collaborates on cloud security risk assessments, intrusion detection, threat-feed systems, risk mitigation, and SaaS payment processes. Provides architectural leadership and mentorship across engineering teams.

Develop and maintain scalable Python/Django backend features for Cyware’s Cyber Fusion platform across commercial and AWS GovCloud environments. Design microservices, REST APIs, AI and RAG integrations, multi-tenant architectures, and secure identity systems. Ensure FedRAMP/GovRAMP compliance through secure coding, audit logging, RBAC, encryption, testing, and continuous monitoring. Collaborate with DevOps, GRC, Security, and engineering teams on CI/CD, code reviews, production support, and platform improvements.

Build, secure, and operate AWS and AWS GovCloud infrastructure across commercial and government environments. Own CI/CD pipelines, Kubernetes and GitOps deployments, infrastructure as code, environment segmentation, secrets management, monitoring, incident response, database migrations, and compliance automation. Support FedRAMP, GovRAMP, and IL5 authorization requirements, collaborate with Security/GRC on audits and continuous monitoring, and improve reliability, scalability, and engineering productivity.

Own and scale Bitsight’s SaaS cloud infrastructure, focusing on reliability, security, automation, and cost efficiency. Design complex systems, troubleshoot production issues, validate AI-assisted infrastructure automation, and improve delivery processes. Lead technical discussions, establish infrastructure best practices, mentor engineers, and collaborate across teams. The role requires strong Linux, scripting, containerization, cloud, infrastructure-as-code, networking, and observability expertise, with occasional off-shift production support.

Provide senior-level ownership for AWS cloud platform operations, automation, and reliability. Support infrastructure provisioning, EKS/Kubernetes operations, EC2/AMI lifecycle, observability, incident response, patching, cost optimization, CI/CD automation, documentation, runbooks, and mentoring. Participate in on-call rotation, incident handling, and cross-team collaboration to ensure secure, scalable cloud operations.

Perform end-to-end, integration, system, user acceptance, and automated testing for software applications. Create test strategies, plans, documentation, and automated test cases; execute tests; assess results; and track defects through resolution. Translate business requirements into technical requirements, identify risks, troubleshoot application issues, and collaborate with engineering and development teams. Support product implementations, training, technical escalations, and quality assurance oversight across project workstreams.

Design, build, ship, and support mobile SDK features for iOS and Android developers. The role involves writing high-quality, tested code, contributing across platform and hybrid SDKs, reviewing code, improving reliability, shaping technical direction, mentoring engineers, and helping prioritize the product roadmap. Engineers will work closely with customers and contribute to RevenueCat’s developer-focused monetization platform.

Leads and develops an SRE team responsible for platform engineering, Kubernetes infrastructure, observability, CI/CD, infrastructure as code, reliability frameworks, disaster recovery, security, and cost optimization. Partners with engineering leaders to establish platform roadmaps and self-service capabilities, manages on-call operations, and drives automation, scalability, developer experience, and operational excellence.

Build and maintain scalable full-stack web application features and distributed microservices. Own complex features from design through deployment, improve application performance and reliability, support on-call operations, troubleshoot incidents, enhance CI/CD and container infrastructure, and collaborate with product, design, infrastructure, and API teams. Mentor engineers and contribute to technical standards while delivering customer-focused shipping and fulfillment experiences.

Own database reliability, scalability, and operational excellence across cloud and on-premises environments. Build automated Kubernetes-based database platforms, infrastructure tooling, failover and backup systems, and self-healing capabilities. Lead observability, performance optimization, capacity planning, incident response, and safe migration practices. Partner with application teams, leverage AI for operational improvements, mentor engineers, influence architecture, and drive technical strategy for highly available database infrastructure.

Designs and scales high-performance backend web services and ETL pipelines supporting tens of thousands of transactions per second. Responsibilities include architecting fault-tolerant distributed systems, improving performance, developing monitoring and deployment strategies, collaborating across product and engineering teams, and supporting recruiting and onboarding. The role requires expertise in data-intensive systems, microservices, cloud architectures, and commercial SaaS products.

Build and operate backend APIs, a reusable integration platform, security-tool connectors, MCP capabilities, and event-driven services. Own GraphQL federation, permissions, multi-tenant access, reliability, observability, vendor API resilience, and production operations. Collaborate across engineering, product, and security teams while mentoring other engineers and contributing to technical standards.

Build and operate backend services for licensing, entitlements, provisioning, access control, multi-tenant administration, MSP/MSSP workflows, audit logging, and notifications. Design reliable cloud-native systems using Docker, Kubernetes, and relational databases, while contributing to observability, incident response, documentation, testing, and platform security. Collaborate across engineering, product, and design teams and mentor less experienced engineers.

Leads customer-facing cloud and AI data platform architecture on Microsoft Azure. Designs secure, scalable, resilient, and performance-optimized solutions; leads architecture sessions, proofs of concept, deployments, and modernization initiatives. Advises technical and business leaders, supports partners and sales teams, manages delivery risks, drives adoption and consumption, mentors colleagues, contributes to reusable frameworks and intellectual property, and influences product roadmaps through customer insights.

Lead technical execution for teams building endpoint agents, backend and inference services, cloud infrastructure, and customer-facing products. Translate engineering priorities into plans, milestones, and ownership; guide architecture and implementation; manage, mentor, and develop engineers; oversee planning, delivery, quality, hiring, and onboarding; and remove technical or resourcing blockers. The role requires hands-on technical judgment, distributed systems experience, and familiarity with agentic coding tools in a fast-moving startup environment.

Build customer-embedded solutions for Origin’s AI observability platform. Investigate customer traces and operational data using SQL, ClickHouse, APIs, and MCP tools; develop dashboards, integrations, workflows, prototypes, and production code; lead technical discovery; and translate field insights into reusable product capabilities. The role requires close collaboration with enterprise engineers, security teams, AI platform teams, and executives, with travel of up to approximately 20%.

Build and operate Origin’s AI observability platform across data-collection agents, backend services, infrastructure, inference pipelines, APIs, and React interfaces. Design distributed systems using AWS, EKS, ClickHouse, and Kafka for high-throughput, multi-tenant production workloads. Develop internal coding agents and define AI-native engineering practices while making decisions around storage, APIs, performance, and reliability.

Define architecture and metrics for autonomous driving evaluation, lead cross-functional integration across autonomy and simulation teams, develop statistical and machine learning methods, analyze large-scale time-series data, manage evaluation KPIs and release gates, and communicate safety and readiness insights through dashboards and stakeholder presentations.

Develop and maintain Xactly Connect integration pipelines, transformations, schedules, and data exchanges. Partner with finance, sales compensation, accounting, sales, and IT stakeholders to define requirements. Troubleshoot data quality issues, failed jobs, mismatches, and pipeline errors before commission runs. Document configurations, mappings, and transformation logic while supporting continuous improvement.

Serve as a technical partner for utility customers across pre-sales discovery, implementation scoping, pilots, and end-to-end deployments. Build integrations with asset management, GIS, inspection, and reporting systems; develop reusable deployment tooling and AI agents; address security and architecture concerns; identify expansion opportunities; and translate recurring field needs into product improvements. The role is approximately 80% customer-facing and requires close collaboration with Sales, Product, Solutions, and Engineering.

Reviews and audits high-definition map datasets for accuracy, completeness, and safety-critical defects. Performs quality control on geospatial data derived from LiDAR, imagery, and vehicle sensors; documents and triages issues; defines QC metrics, sampling strategies, and repeatable workflows; collaborates with mapping engineers, autonomy teams, and vendors; analyzes defect trends; maintains procedures; and supports launch readiness for new corridors and operational domains.

Designs, develops, and leads scalable healthcare software solutions involving transaction processing, interoperability standards, integrations, and data platforms. Provides hands-on engineering, architectural leadership, quality ownership, risk management, technical mentorship, and cross-functional collaboration. The role requires building high-performance cloud-based SaaS solutions using microservices and serverless architectures, while guiding engineering strategy and ensuring secure, reliable delivery.

Build and maintain full-stack components for a maritime domain awareness platform supporting sonar and sonobuoy data. Responsibilities include developing frontend pages and real-time data feeds, designing PostgreSQL and Apache Iceberg data models, modifying MQTT and Redpanda pipelines, managing Dagster batch workflows, integrating machine learning algorithms, and improving development and CI/CD tooling. The role is remote and involves mission-critical defense technology.

Build and maintain full-stack applications for a maritime data management and AI platform. Responsibilities include developing frontend components, real-time WebGPU data feeds, PostgreSQL and Apache Iceberg data models, MQTT and Redpanda pipelines, Dagster batch workflows, machine learning integrations, and CI/CD tooling. The role supports mission-critical products used with U.S. Navy sonar and sonobuoy data.