Top Python Jobs in Miami, FL

Lead planning, implementation, administration, and support of enterprise endpoint management and VDI for 12,000+ endpoints. Administer Intune/MEM, Autopilot, MECM/SCCM patching, AVD/Citrix/VMware Horizon, enforce Defender/BitLocker/DLP, automate with PowerShell/Python, manage Entra ID/AD/Conditional Access, mentor engineers, partner with security and infra teams, and produce documentation and strategic recommendations.

Leads platform incident investigations, coordinates detection and resolution, performs root cause analyses, and designs customer-focused monitoring, alerting, and observability workflows. Builds automation, improves platform reliability, mentors engineers, and participates in on-call rotations. The role requires cloud, container orchestration, monitoring, logging, alerting, incident management, and production automation expertise.

Designs, develops, and supports enterprise-scale ETL/ELT pipelines and data warehouse solutions using Ab Initio, Snowflake, Azure, SQL, Python, and shell scripting. Responsibilities include metadata and lineage management, dimensional and Data Vault modeling, data quality validation, CI/CD, production troubleshooting, and batch, real-time, file-based, and API integrations. The role supports healthcare data domains such as claims, membership, providers, health plans, and benefits.

Build and maintain secure cloud-native platforms supporting Navy application teams. Integrate, package, deploy, and operate applications across Kubernetes and UDS environments; develop infrastructure as code, CI/CD pipelines, Helm configurations, and automation. Troubleshoot application and platform issues, implement security controls and vulnerability remediation, support observability, collaborate across technical teams, and contribute to platform strategy. The role also involves mentoring engineers and supporting Kubernetes distributions including EKS and RKE2.

Own portfolio-wide data center network architecture, structured cabling, security, OT segmentation, colocation connectivity, commissioning, and production operations. Design standards and construction specifications, review contractor work, manage monitoring, changes, capacity, incidents, and documentation, and serve as the escalation point for live-site network issues. The remote role requires heavy travel to active construction and commissioning sites.

Own and evolve Voltus’s infrastructure platform, including Kubernetes and Nomad workloads, AWS architecture, identity and secrets, stateful systems, observability, infrastructure as code, CI/CD, and developer tooling. Lead business-critical migrations with minimal downtime, establish reliable deployment and rollback practices, mentor engineers, participate in on-call, and build secure infrastructure supporting AI-assisted development.

Designs, engineers, deploys, commissions, and supports ROADM-based DWDM and OTN optical transport networks supporting 100G/400G services and IP/MPLS core connectivity. Responsibilities include optical link engineering, capacity planning, equipment specifications, vendor evaluation, automation, fault isolation, service provisioning, network turn-up, documentation, and technical mentorship. The role coordinates with architecture, operations, vendors, and fiber providers; participates in on-call support and travels to project sites as required.

Lead full-stack growth engineering across eligibility, identity, access, client configuration, and reporting systems. Build Python-based GraphQL and REST APIs, React and React Native experiences, scalable database systems, and secure HIPAA- and GDPR-compliant solutions. Own ambiguous cross-domain technical projects, write RFCs, coordinate roadmap delivery, mentor engineers, contribute to engineering strategy, and participate in on-call operations and remediation.

Build and maintain scalable microservices, APIs, and responsive React/TypeScript UIs for a modular security-operations platform. Integrate sensors and devices, implement real-time features (WebSockets, Kafka), design data models, participate in CI/CD, code reviews, sprint planning, and optimize full-stack features in a DevOps environment.

Build and operate scalable AWS cloud infrastructure using Terraform and infrastructure-as-code best practices. Develop enterprise cloud solutions focused on security, resilience, performance, and availability. Automate CI/CD pipelines using GitOps, ArgoCD, GitHub Actions, and Azure DevOps. Manage Kubernetes, service mesh, serverless applications, patching, upgrades, and infrastructure operations while collaborating with engineering, architecture, security, and customer teams.

Leads architects and defines enterprise architecture strategy across consumer banking platforms. Provides technical direction, mentorship, and oversight; aligns technology solutions with business objectives; presents to architecture boards and executives; and drives product, solution, modernization, cloud, integration, resilience, and investment strategies across the organization.

Develop and maintain software in an agile, test-driven environment using pair programming. Lead technical decisions involving application and data model design, mentor engineers, collaborate cross-functionally with product and design, and ensure application stability and performance. Participate in on-call support and improve system reliability. Use AI developer tools to accelerate development and improve code quality.

Own the reliability, performance, availability, scalability, and cost efficiency of production Aurora MySQL databases on AWS. Responsibilities include observability, alerting, query optimization, replication, backups, disaster recovery, schema migrations, reader topology, cost optimization, runbooks, incident response, and database performance reviews. The role partners with engineering teams, supports HIPAA-compliant handling of PHI, and establishes reliable database operating practices.

Manage infrastructure, build and maintain CI/CD pipelines, automate deployments and operations, implement IaC, containerization, and cloud resource management, monitor and optimize system reliability, perform root cause analysis, ensure security best practices, document configurations, and participate in on-call rotations.

Develop and implement embedded device and system software, analyze system efficiency and stability, optimize I/O performance, support software quality assurance, and code, test, and troubleshoot low-level software. The internship provides hands-on engineering experience, mentorship, and professional development. Candidates must be pursuing a relevant engineering or computer science degree and remain enrolled after the internship.

Leads the design, automation, deployment, and optimization of secure hybrid and multi-cloud infrastructure across AWS, Azure, and GCP. Develops Terraform modules and CI/CD pipelines, executes cloud migrations, implements networking and security controls, troubleshoots infrastructure, and optimizes performance and cost. Conducts infrastructure assessments, creates technical documentation, collaborates with architects and project managers, mentors engineers, and supports enterprise modernization initiatives.

Develop and maintain automated test frameworks and scripts, execute manual and automated test cases, identify and track defects, perform regression testing, collaborate with developers and cross-functional teams, and support CI/CD and testing processes across platforms (including mobile, API, and database).

Own the architecture, development, and maintenance of Nebulock’s customer-facing security platform across the full stack. Build product experiences including threat intelligence and detection query tools, improve scalability and maintainability, establish engineering standards, shape the technical roadmap, collaborate across product and security teams, and mentor engineers.

Develop and implement embedded software and systems, analyze system efficiency and stability, optimize I/O performance, and support software quality assurance. Responsibilities include coding, testing, troubleshooting, monitoring, and working closely with hardware. The internship offers hands-on experience, mentorship, professional development, relocation benefits, and short-term housing for eligible interns.

Leads quality engineering architecture for Yahoo Sports web, mobile, API, and cloud platforms. Builds scalable test automation frameworks, AI-driven test generation and diagnostics, CI/CD quality gates, performance and security testing, observability automation, defect triage, and release assurance. Partners with engineering and product teams to improve testability and risk mitigation, establishes quality standards, and mentors quality engineers.

The Principal Engineer will shape the technical strategy for messaging infrastructure, influence architectural decisions across teams, and solve complex technical problems. Responsibilities include mentoring engineers, driving coherence across teams, and leading initiatives to ensure Weave's competitiveness in messaging solutions.

The Principal Software Engineer will embed with product teams to solve complex technical problems, deliver production code, and make application and service-level architectural decisions. The role owns shared services, reliability, performance, incident response, and cross-system issue diagnosis. It also leads solution design, mentors engineers through influence, supports multiple products and domains, and establishes effective standards for AI-assisted software development.

Manage and optimize high-bandwidth, low-latency VFX network infrastructure supporting render farms, storage, cloud rendering, artist collaboration, and remote workstations. Configure AWS Deadline Cloud, troubleshoot Maya and Arnold rendering, build asset-transfer and per-show environment systems, optimize Linux and Windows pipelines, and document architecture and procedures. The role requires strong Python and Bash scripting, networking, storage, systems administration, render-farm, and VFX pipeline expertise.

Analyze emerging AI workloads and build analytical performance models and architecture simulators for current and future AI inference accelerator hardware. Collaborate with hardware, compiler, inference server, kernel, and product teams to validate assumptions, identify HW/SW optimization opportunities, incorporate architecture research, and document methodologies. The role is a hands-on technical contributor focused on performance analysis across the hardware/software boundary.

Design and deliver full-stack applications spanning user interfaces, data models, APIs, backend services, cloud infrastructure, and AI-enabled workflows. Build vector-store and RAG capabilities, deploy Azure services with Terraform and containers, and contribute to architecture, technical roadmaps, code reviews, testing, and system operations. Collaborate directly with business stakeholders to understand needs and deliver scalable, secure, enterprise-grade software. The role also involves identifying patentable innovations, preparing disclosures, and supporting patent prosecution.