Top Senior Python Jobs in Miami, FL

Develop and maintain enterprise Ansible automation, infrastructure-as-code solutions, REST APIs, scripts, CI/CD pipelines, and integrations across complex infrastructure environments. Manage automation projects through the full software development lifecycle, support production systems, document solutions, troubleshoot issues, and collaborate with infrastructure, security, and service teams. The role requires secure coding, Agile delivery, on-call participation, U.S. citizenship, and eligibility for Public Trust clearance.

Develops high-quality software and AI-powered prototypes for national security missions. Responsibilities include architectural design, feature development, automated testing, backlog grooming, sprint execution, API and SDK development, integration debugging, and research involving LLMs, embeddings, and smaller trained models. The engineer independently leads focused efforts while collaborating with product and engineering teams, using modern DevSecOps and CI/CD practices.

Lead the evolution of Azure infrastructure toward Kubernetes-based, microservices-oriented systems. Design reliable and scalable cloud infrastructure, observability, networking, CI/CD pipelines, and Infrastructure-as-Code. Drive incident response, cost optimization, capacity planning, performance improvements, and automation while partnering with engineering and data teams. Document best practices, mentor colleagues, and support platform strategy in a healthcare environment with PHI, access control, and audit requirements.

Leads distributed software development teams across legacy, modern, and cloud-native applications. Oversees planning, Agile delivery, engineering standards, DevSecOps, CI/CD, AWS and Kubernetes deployments, AI-assisted development, governance, compliance, modernization, and stakeholder communication. Manages team performance, mentoring, workload allocation, hiring, retention, and culture while ensuring secure, scalable, high-quality application delivery.

The Staff Quality Engineer will establish testing strategy, expand scalable end-to-end automation, close coverage gaps, and define quality metrics and release gates. They will test AI-powered features, collaborate with developers on test planning, use AI tools for testing and triage, and coach engineering teams on quality-by-design practices. The role requires influencing multiple teams independently without a dedicated QE team or manager.

Design and build robust backend services and secure APIs for finance and reader applications. Implement authentication, payments, subscriptions, and finance workflows. Design Postgres/Redis schemas, integrate with financial APIs (BSE Star MF, NSE) and DRM services, and ensure compliance-friendly data handling.

Own and evolve production infrastructure for AI workloads, including Kubernetes, cloud-native migrations, scheduling, orchestration, observability, infrastructure as code, deployment workflows, security, reliability, and incident recovery. Partner with engineering and business operations teams to build dependable platform capabilities. The role requires deep production Kubernetes experience, strong cloud and Linux fundamentals, architectural judgment, automation skills, and end-to-end ownership of infrastructure systems.

Build Tailscale’s internal AI-enablement tools, workflows, guardrails, and documentation. Partner with engineering leadership and teams to define the AI roadmap, evaluate coding agents and models, improve adoption, and measure effects on velocity and quality. The role involves developing internal developer-facing automation, teaching and influencing engineers, identifying high-leverage AI opportunities, and promoting safe use of AI-generated code in a distributed engineering organization.

Designs scalable, secure, resilient cloud and data architectures for high-volume services. Evaluates cloud technologies, develops reusable Terraform infrastructure and automation, and serves as a database architecture expert for PostgreSQL, Oracle, MongoDB, Redis, and Valkey. Builds prototypes and reference implementations, designs highly available distributed database systems, coaches engineers, partners with product and SRE teams, and converts validated concepts into production-ready architecture patterns.

Design, build, and operate backend services supporting external penetration testing, including Python APIs, workflow orchestration, ETL pipelines, AWS data lakes, GraphQL and graph APIs, Kubernetes infrastructure, and observability systems. Own service performance, scalability, uptime, deployment, and production operations while collaborating with product, design, and frontend teams. Contribute to architecture, technical documentation, platform stability, and user-facing launches.

Design, operate, and evolve production GCP infrastructure, including GKE clusters, networking, IAM, shared services, and Terraform automation. Troubleshoot complex Kubernetes, Linux, networking, DNS, and distributed-systems issues; improve observability, security, scalability, reliability, and cost efficiency. Lead upgrades, migrations, architecture improvements, technical reviews, and mentorship while partnering with Platform Engineering, SRE, and Security teams.

Develop and optimize process models and techno-economic analyses for direct air capture demo and production facilities. Translate Aspen models into equipment sizing, cost estimates, process documentation, and vendor-ready specifications. Refine heat and mass balances, evaluate operating scenarios, support equipment selection, and identify energy, capital, and operating cost reductions. Collaborate with engineering, R&D, project management, vendors, and external design firms while presenting technical and financial findings to leadership, investors, and stakeholders.

Provide technical leadership for site reliability engineering, applying software engineering practices to large-scale operations. Design automated, repeatable operational solutions; monitor service objectives, application performance, and business metrics; improve resiliency, efficiency, and cost. Support cloud and on-premise infrastructure, production applications, deployment automation, testing, and vulnerability response. Partner with software development, security, and business teams while promoting Agile practices, change management, training, and operational health.

Designs, builds, and productionizes healthcare knowledge graph solutions using LPG and RDF technologies. Develops FHIR data transformation and ingestion pipelines, ontology mappings, entity linking, provenance tracking, graph queries, and automated validation. Translates semantic specifications into scalable implementations while collaborating with ontology, terminology, clinical, FHIR, and data engineering teams. Participates in technical design, architecture reviews, code reviews, and engineering best practices.

Lead client cloud architecture engagements, design and implement scalable AWS infrastructure, and guide re-platforming and modernization initiatives. Build Infrastructure as Code, observability, monitoring, automation, and security solutions using AWS and partner tools. Lead cross-functional teams, establish runbooks, conduct code reviews, coach engineers, engage clients, and support continuous improvement. The role also involves technical presentations, documentation, vendor relationships, open-source contributions, and occasional travel.

Own backend services from design through production support, solve ambiguous technical problems, improve reliability, build automation, and contribute to architecture and technical decisions. The role involves developing secure software in a regulated healthcare environment, debugging production issues, writing tests, mentoring engineers, and using modern cloud, deployment, observability, and AI-assisted development tools.

Develop and debug production-grade full-stack applications across front-end and back-end systems. Build features, APIs, databases, and data models; troubleshoot end-to-end issues; analyze unfamiliar codebases; translate implementations across programming languages; and review AI-generated and developer-written code for correctness, security, scalability, performance, and maintainability.

Build and maintain software engineering infrastructure for AI development and evaluation workflows. Develop rubrics, review and label preference data, create scalable pipelines, document findings, navigate complex codebases, and improve evaluation quality and consistency. Collaborate with researchers and engineers in an ambiguous, fast-paced environment while applying strong judgment, debugging, communication, and system-design skills.

Provides technical leadership for Azure SQL databases supporting a highly available Azure service. Responsibilities include database performance tuning, reliability and capacity planning, schema changes, data migrations, observability, incident response, root cause analysis, operational automation, and technical strategy. The role partners with software engineers, SREs, and architects to improve scalability, durability, cost efficiency, and long-term service reliability across teams.

Lead architecture and roadmap for Azure PostgreSQL systems; design and review scalable, maintainable database engine features (query processing, storage, transaction logging, recovery, versioning, IO, scale-out). Influence coding standards and run code reviews, write proof-of-concept or production code, contribute to open-source PostgreSQL/Linux, and participate in rotational on-call operations.

Design, develop, and improve scalable software for an investment platform. Lead software development across the lifecycle, mentor junior engineers, solve complex technical problems, maintain code quality through testing and reviews, and recommend technology enhancements. The role is remote in the USA with four in-person retreats annually.

Design, configure, and optimize Azure DevOps organizations and CI/CD pipelines. Implement process templates, Portfolio++ for portfolio visibility, integrate with third-party tools, support sprint and capacity planning, troubleshoot pipelines, and create runbooks and adoption guidance for client teams.

Leads design and delivery of Plan Intelligence, an analytics platform using React, TypeScript, Python FastAPI, PostgreSQL, and AWS. Owns features end to end, mentors engineers, architects scalable solutions, collaborates with data engineering, builds mapping and analytics experiences, integrates LLM features, improves performance, and supports development through production environments. Responsibilities include testing, documentation, code reviews, security, integrations, monitoring, and establishing engineering practices.

Design, develop, and maintain scalable Python applications and cloud-native solutions. Architect microservices, containerized deployments (Docker/Kubernetes), optimize cloud infrastructure, build CI/CD pipelines, integrate messaging systems, ensure security and high code quality, and mentor junior developers. Generative AI/ML experience is a plus.

Lead hands-on development of scalable software, APIs, integrations, automations, and core product features. Architect systems, make technical decisions, ensure code quality, optimize performance and security, and collaborate across Product, Design, Data, and Business teams. Mentor developers, conduct code reviews, shape the technical roadmap, and improve engineering workflows, CI/CD, and architecture. The role also explores AI, automation, and API-first technologies in a fully remote startup environment.