Top Senior Python Jobs in Miami, FL

Build end-to-end AI integrations in a cybersecurity platform: gather contextual security data, call and optimize AI services, map responses to actionable UI (React), implement error/fallback handling, monitoring, caching, and user feedback loops while working directly with customers.

Develop and optimize detection, tracking, and multi-sensor fusion algorithms (Kalman/particle filters, multi-target tracking) for resource-constrained UAVs. Train and deploy neural networks for ATR, design distributed swarm fusion, validate against flight data and simulation, and optimize models for real-time edge inference. Travel up to 25% for tests.

Build and scale backend services for identity, access control, secure content sharing, and data access. Contribute to Dgraph internals, collaborate with platform and infrastructure teams, drive architecture and permissions models, and write high-quality Go and Python code focused on reliability, security, and performance.

Lead design and implementation of scalable backend services and member-facing APIs using Python/Django, PostgreSQL, BigQuery/dbt and GCP. Own infrastructure as code (Terraform), container orchestration (Docker, Kubernetes), async/event-driven systems, observability, and performance tuning. Mentor engineers, collaborate with Product and Data teams, and ensure secure, low-latency, AI-driven member experiences.

The HPC Engineer will manage HPC software, support customers, optimize performance, advocate for customer needs, and innovate automation solutions.

Deploy, maintain, and automate application infrastructure on GCP using Kubernetes, Docker, Helm, ArgoCD, and Terraform. Build automation pipelines, support and troubleshoot in-house and third-party apps, document processes, and participate in on-call rotation.

Seeking an experienced Frontend Engineer to enhance user experience for multimodal data management applications. Responsibilities include optimizing user interfaces, collaborating with designers, and building scalable backends.

Lead full‑stack development of complex research platforms, set technical direction and architecture, integrate data pipelines and evaluation frameworks, mentor engineers, promote AI-assisted engineering practices (e.g., Claude Code), assist hiring/onboarding, and represent technical work across teams to deliver scalable, secure software for digital safety research.

Lead design, implementation, and delivery of software via CI/CD; maintain and optimize applications; drive architecture, code reviews, testing, security, and PCI DSS compliance; mentor engineers and lead scrum team activities.

Own the operational lifecycle of cloud-native data infrastructure: design and automate reliable deployments, observability, incident response, SLIs/SLOs, autoscaling and IaC, and improve platform efficiency and data freshness across GKE and Cloud Run.

Lead mission readiness and performance across the Mission Foundry lifecycle: define V&V campaigns, streamline AI&T workflows, analyze on-orbit telemetry, improve autonomy and fault management, feed performance data into design iterations, and support internal tooling roadmaps to scale spacecraft production and operations.

Serve as technical lead for a designated space mission across concept, development, verification, and on-orbit operations. Translate customer objectives into requirements and ICDs, manage requirements traceability, subsystem budgets, risk, design changes, and reviews. Coordinate cross-functional teams (systems, hardware, software, data, ground, operations), interface with customers, and improve engineering processes and tools.

The engineer will develop high-speed analog ICs, oversee product development phases, and collaborate with various engineering teams to ensure product performance and reliability.

Design, build, and operate scalable full-stack systems for an AI-native enterprise platform: backend services, APIs, frontend React apps, workflow orchestration, integrations, testing, CI/CD, monitoring, and production readiness while collaborating with product and customers.

Design, implement, and operate secure, scalable Linux infrastructure across on-prem and AWS with primary focus on Kubernetes/EKS. Build and automate IaC (Terraform/Ansible/CloudFormation), CI/CD pipelines (GitLab), monitoring/alerting, cluster upgrades, autoscaling, security hardening, multi-tenant isolation, and disaster recovery. Support container builds, GitLab Runners, RDS databases, compliance (SOX/SOC2), incident response, and on-call rotations while collaborating with development and QA teams to improve reliability and operational standards.

Lead architecture and evolution of enterprise observability platforms (APM, infrastructure monitoring, session replay, log analytics). Define integration patterns, telemetry standards, and governance. Partner with Engineering, SRE, Product, and Infrastructure to embed observability best practices, evaluate new technologies (OpenTelemetry, distributed tracing, AI-driven observability), drive platform standardization, and manage vendor relationships to improve MTTD/MTTR and system reliability.

Design, build, and maintain backend services for identity, access control, secure content sharing, and data access on the data platform. Contribute to Dgraph internals and Data Studio tooling, collaborate with platform and infra teams, drive permissions and secure-sharing architecture, and write well-tested Go and Python code focusing on reliability, security, and performance.

Administer and stabilize the studio Flow Production Tracking environment and Flow/Jira Bridge; re-architect automation/event listeners, ensure data integrity, deploy reliable services, troubleshoot integrations, document configurations and recovery, configure schemas/permissions, build dashboards/reports, and support vendor workflows across production pipelines.

Design and build Alpaca's low-latency, high-throughput algo trading platform. Implement frontend and backend components, optimize performance, design distributed systems and data models, and develop/order and risk management systems for high availability.

Lead design and implementation of automated testing solutions and QA strategies. Build scalable automation frameworks, integrate tests into CI/CD pipelines, collaborate with cross-functional teams, and drive quality improvements across the software development lifecycle.

Design, build, and maintain scalable backend services in Java and Python. Implement RESTful/GraphQL APIs, optimize SQL/NoSQL databases, develop microservices, enforce security (OAuth2/JWT), write unit/integration tests, optimize performance, and collaborate with frontend and DevOps teams in Agile processes.

Lead design, delivery and implementation of scalable production software across a complex, regulated environment. Drive DevOps/CI-CD, GitOps, containerization, Kubernetes and IaC adoption, improve incident/problem management and observability, coach teams, implement Agile, and manage senior stakeholders to ensure reliable, high-scale services.

Design, implement, and maintain AWS cloud infrastructure; build CI/CD pipelines; implement IaC and container orchestration; monitor and secure systems; automate deployments; collaborate with developers; document architecture and procedures.

Lead quality engineering for cloud-based financial advisor platforms by designing and implementing automated tests, test strategies, CI/CD pipelines, observability, and mock services. Collaborate with product, architecture, and engineering teams to modernize applications, coach peers, and ensure high-quality deliveries using Agile practices.

Lead design, build, and maintain scalable backend services using Java (Spring) and Python (FastAPI/Django). Implement REST/GraphQL APIs, optimize SQL/NoSQL databases, develop microservices, ensure security (OAuth2/JWT), write tests, improve performance, and collaborate in Agile with frontend and DevOps teams.