Top Senior Python Jobs in Miami, FL

The role involves embedding with client teams to build AI features, manage integrations, and ensure project deliveries are met. Candidates must have extensive production software experience and be comfortable working hands-on with clients.

Design, test, document, and deploy geospatial software solutions for defense and intelligence imagery. Integrate analytical toolkits with ArcGIS, define user requirements, lead lab testing and automated QA efforts, and collaborate on software releases. The role applies remote sensing, photogrammetry, image processing, and AI while mentoring colleagues and managing project dependencies.

Lead observability and incident management efforts: define SLIs/SLOs, build monitoring/alerting, dashboards, logging, and tracing. Drive incident response, postmortems, and reliability improvements to reduce MTTD/MTTR. Integrate observability into CI/CD, maintain AWS and Kubernetes infrastructure, automate operations, and mentor engineers on SRE best practices.

Designs, automates, and optimizes mission-critical PostgreSQL, Oracle, MySQL, and DynamoDB platforms. Builds infrastructure as code, CI/CD pipelines, automated failovers, database tooling, and Kafka-based change data capture and replication frameworks. Partners with systems engineers, developers, and architects to deliver resilient, high-performance, event-driven data infrastructure. Maintains monitoring, alerting, security, access controls, query optimization, and real-time data availability across AWS environments.

Designs, develops, deploys, and sustains Azure infrastructure for AI training and inference workloads. Responsibilities include coding, hardware and software integration, distributed systems, networking, GPU and cluster design, performance optimization, debugging, automation, test-driven engineering, documentation, partner collaboration, and on-call incident response. The role drives scalable, reliable infrastructure and mentors engineers while improving quality, maintainability, and customer outcomes.

Design, develop, test, deploy, and support enterprise full-stack applications using React, Java/Spring Boot, and Python. Build secure APIs, microservices, integrations, chatbot interfaces, and cloud-native solutions. Work with Azure or AWS, Docker, Kubernetes, CI/CD pipelines, databases, messaging systems, and enterprise security practices. Collaborate in agile teams, participate in architecture discussions, refine requirements, conduct code reviews, and maintain quality through automated testing. Experience integrating AI or generative AI solutions is preferred.

Architect, build, and scale Parade’s foundational platform infrastructure supporting high-volume logistics transactions and AI systems. Own Kubernetes, cloud, Terraform, CI/CD, observability, networking, security, and distributed asynchronous workloads. Partner with engineering, product, and data teams to improve reliability, scalability, automation, and developer velocity across a fully remote organization.

Designs, secures, operates, and scales AWS infrastructure and container platforms. Administers Linux, Windows Server, Nutanix, Rancher, ECS Anywhere, SMTP relays, and SSL/TLS certificates. Builds infrastructure as code and automation using CloudFormation, Python, PowerShell, Bash, and AWS Systems Manager. Maintains monitoring, alerting, reliability, and compliance support for HITRUST and SOC 2. Participates in on-call support and works independently across cloud engineering, systems administration, and business priorities.

Build reusable software components, performant services, integrations, shared libraries, and cloud-based systems. Translate business needs into technical requirements and maintainable code, using Python, messaging systems, relational and NoSQL databases, and cloud technologies. Implement zero-downtime deployments and CI/CD processes, troubleshoot production issues, and mentor junior and mid-level developers.

Integrate autonomous ocean-platform hardware, software, satellite communications, telemetry pipelines, and defense networks. Design secure data pathways, ingest and transform oceanographic and acoustic data, implement bidirectional command-and-control interfaces, configure SATCOM, and support vendor integration. The role requires METOC data expertise, tactical visualization familiarity, network configuration skills, Zero Trust principles, and collaboration across defense organizations and industry partners.

Leads Magnit’s migration from on-premises infrastructure to AWS-based cloud platforms and builds an internal developer platform using Kubernetes, GitOps, CI/CD, and infrastructure as code. Oversees cloud foundations, reliability, observability, security, networking, FinOps, vendor management, and data center exit activities. Establishes SRE practices, drives platform adoption and developer experience, and leads global cloud, platform, SRE, and network engineering teams while partnering with executives and cross-functional organizations.

Design, develop, and scale mission-critical backend applications and distributed services. Build Python and Celery services, FastMCP services, Docker Swarm environments, and horizontally scalable architectures. Optimize Couchbase and NoSQL data systems, troubleshoot Linux-based distributed environments, and apply cloud-native AWS practices. Collaborate cross-functionally to deliver secure, reliable solutions while using spec-driven development and AI coding tools.

Build and maintain full-stack applications that deliver AI/ML insights through backend services, REST APIs, containerized microservices, and high-performance front-end interfaces. Responsibilities include cloud-native development on Google Cloud or Azure, database management, testing, CI/CD automation, security, troubleshooting, and Agile collaboration.

Design, build, and maintain cloud-hosted SaaS platforms and deployment artifacts. Own Helm charts, containers, IaC, CI/CD pipelines, and serverless components. Ensure scalable, secure Kubernetes/OpenShift deployments, monitor performance, troubleshoot production issues, and collaborate with platform, security, and infrastructure teams.

Create and maintain developer documentation, tutorials, API references, troubleshooting guides, and runnable examples for LanceDB. Build documentation designed for both developers and AI agents, validate AI-generated content, maintain documentation tooling, automate code and link checks, and collaborate with engineering, product, and open-source communities. The role requires strong Python skills, database and data workflow knowledge, technical writing expertise, and experience with Git-based development workflows.

Provides L2 technical support for a B2B SaaS platform by investigating escalated issues, reproducing problems, shipping bug fixes, and supporting L1 representatives. The role partners with Engineering, Product, Customer Success, and senior engineers, identifies recurring issues, improves visibility through metrics, documents findings, and writes knowledge-base content. The position works remotely on a 3 PM–11 PM ET weekday shift with alternating Saturday on-call coverage.

Supports and administers customer Azure environments, troubleshooting incidents, monitoring performance, implementing custom solutions, and executing planned changes. Participates in on-call rotations, documents work, collaborates across technical teams, engages Azure Support, and provides capacity and performance recommendations. The role also requires customer communication, staying current with Azure services, mentoring junior engineers, and contributing to automation and cloud infrastructure improvements.

Own reliability, scalability, security, observability, and incident response for production applications across AWS and on-premises DoD environments. Build monitoring and alerting, define SLIs and SLOs, lead post-incident reviews, automate infrastructure with Terraform and Ansible, operate Kubernetes clusters, embed RMF and STIG controls, reduce operational toil, and support secure air-gapped deployments.

Designs and manages DevOps processes, automation, CI/CD pipelines, cloud environments, containerized infrastructure, observability, and release systems. Partners with development, QA, DataOps, architecture, support, and operations teams to improve reliability, security, scalability, and performance. Responsibilities include infrastructure provisioning, monitoring, troubleshooting, root-cause analysis, technical documentation, tool evaluation, production support, and continuous improvement.

Design and build backend services and APIs for identity resolution and platform integrations. Optimize event-driven pipelines processing billions of signals, deploy cloud-native services on AWS EKS and Kubernetes, and ensure reliability, observability, and scalability. Collaborate with engineering, product, and data teams to deliver identity solutions while mentoring junior engineers. The role requires expertise in backend or data engineering, distributed systems, streaming technologies, cloud deployment, data modeling, and high-throughput databases.

Own end-to-end full-stack product features using TypeScript, Node.js, React, Python, Kafka, and distributed systems. Design data models, backend services, event pipelines, interfaces, auditability, security controls, and AI agent experiences for a regulated fintech product. Operate production systems, collaborate with AI engineers, and help establish engineering practices on a small remote team.

Design and lead development of high-performance networking infrastructure for large-scale AI training and inference in Azure. Architect low-latency, low-jitter communication frameworks, optimize distributed systems, benchmark scalability, resolve complex networking issues, and improve reliability, observability, and performance. Mentor engineers, create technical designs, manage dependencies, and participate in on-call operations for critical services.

Own and improve Attentive's first-party data collection across the JS tag, Cloudflare Workers, and Java backend. Expand edge compute capabilities, build agentic AI systems to detect and fix data-quality issues, harden the event ingestion pipeline for reliability and observability, and lead technical direction on a small autonomous team while mentoring engineers.

Own Cresta’s web platform, CMS architecture, component system, analytics and GTM integrations, localization, SEO/AEO implementation, and engineering practices. Build tooling that enables marketers to work independently and develop, deploy, evaluate, and optimize AI agents for marketing use cases. Partner with brand, design, marketing operations, product, and engineering teams while providing technical leadership and owning projects end to end.

Own production operations and highly available cloud infrastructure for regulated government environments. Lead incident response, root-cause analysis, disaster recovery testing, compliance operationalization, audit readiness, vulnerability management, and continuous monitoring. Build automation, secure CI/CD pipelines, infrastructure-as-code, observability, and compliance tooling across Kubernetes, Linux, containers, and cloud platforms. Partner with security, compliance, and engineering teams to improve reliability, deployment safety, and regulatory sustainment.