Top Python Jobs in Miami, FL

Lead design, implementation, automation, and troubleshooting of Akamai's global network infrastructure. Build and maintain scalable BGP routing, data center CLOS fabrics, overlay technologies (VxLAN/EVPN), multi-vendor environments, and automation templates. Drive hardware/platform rollouts, deep-dive analysis, and clear documentation to ensure reliability, scalability, and security.

Support and maintain AWS cloud infrastructure, automate operational tasks and deployments, troubleshoot cloud and containerized environments, contribute to scalable resilient architectures, document operational procedures, and collaborate with product and engineering teams on process improvements and automation.

Implement and maintain AWS cloud standards, IaC patterns, and CI/CD automation to enable developer self-service. Support containerized workloads, monitoring, security/compliance, troubleshooting, documentation, and participate in on-call rotation to ensure reliable, cost-efficient cloud platform operations.

Build and operate services and tooling to automate network lifecycle, ensure safe network changes, develop scalable observability and telemetry, integrate network source-of-truth via APIs, and collaborate with network engineers and SREs to deliver production-grade automation and reliability.

Build and operate Nebius's network infrastructure: define SLIs/SLOs, improve site and inter-site reliability, lead incident response and postmortems, develop observability and alerting, automate change workflows, and collaborate with network and platform teams to embed operability.

Lead design, build, and operate scalable backend services and carrier integrations. Provide technical leadership, mentor engineers, drive architecture and best practices, write and test code, troubleshoot production incidents, and improve monitoring and reliability while collaborating with product and cross-functional teams.

Architect, implement, and optimize cloud-based solutions; mentor junior engineers; design and deploy automated, production-grade systems; monitor cloud health and resolve incidents; apply cloud security best practices and healthcare compliance to ensure reliable, scalable infrastructure.

Support and operate customer-facing iLottery and loyalty platforms with focus on Kubernetes (on-prem and cloud), GitOps-driven CI/CD (ArgoCD), container management, observability (Graylog, New Relic, ELK, Prometheus/Grafana), infrastructure automation (Ansible, Terraform), incident response, SLOs, capacity/resiliency planning, security remediation, documentation, and 24x7 on-call support.

Lead platform reliability for a high-volume OMS: drive automation, self-healing, observability, incident management, RCA, performance tuning, and mentor support engineers while partnering with engineering and vendors.

Design, build, and maintain scalable backend services, RESTful APIs, and platform components using cloud-native AWS services. Implement microservices, database schemas (relational and NoSQL), containerization and orchestration, integrations with third-party systems, CI/CD, monitoring, security controls, and troubleshooting in development and production environments.

Lead design, automation, and maintenance of highly available AWS infrastructure. Build CI/CD pipelines, manage container orchestration (EKS/Kubernetes), optimize cost and performance, enforce cloud security best practices (IAM, encryption, network controls), maintain infrastructure docs, and configure CDNs for content delivery.

Lead architecture and delivery of enterprise DDI solutions (Infoblox-focused) including migrations, upgrades, re-architecture, and lifecycle engineering. Produce design artifacts, testing and cutover plans, and guide long-term DDI strategy. Support pre-sales with demos, discovery, POCs, solution design, and RFP/RFI responses while partnering with Account Executives to capture new business.

Lead technical design and execution for product catalog systems, owning onboarding, attribute management, enrichment, validation, and readiness tooling. Build scalable services and data models, drive cross-functional discovery, lead initiatives end-to-end, improve data quality, mentor engineers, and ensure reliability, performance, and observability of catalog workflows.

Design, administer, and optimize databases for cloud-native platforms. Support production incidents, evaluate and improve schemas and replication, drive DB architecture choices across AWS/GCP, implement IaC (Terraform) and GitOps, and build repeatable database designs for availability, reliability, and performance.

Build end-to-end fullstack features for Threat Narrative and Email Details, implementing backend APIs, data models, and React/TypeScript UIs. Integrate GenAI/LLM systems to generate explainable narratives, own SLAs/SLOs and observability, participate in design/code reviews, and collaborate with product and cross-functional partners to improve detection explainability and customer-facing experiences.

Own and drive the architecture and roadmap of ClickUp's data platform. Build scalable, reliable data pipelines and AI/ML infrastructure using AWS serverless, Snowflake, dbt, and Terraform. Lead cross-team technical initiatives, optimize cloud costs, establish engineering standards (observability, testing, CI/CD), mentor senior engineers, and influence org-wide architecture decisions.

Design, build, and operate secure, scalable cloud infrastructure and platform capabilities. Implement IaC, improve CI/CD, observability, and automation. Lead incident response, reliability, and DevSecOps practices. Mentor engineers, drive platform standardization, document runbooks, and participate in a 24/7 on-call rotation to support production systems and remediation of systemic infrastructure issues.

Lead and coordinate high-severity production incidents for cloud-native services, drive root cause analysis and reliability improvements, own incident communications to stakeholders and customers, and mentor peers while maintaining incident playbooks and observability-driven diagnostics.

Leads the architecture, design, implementation, testing, and delivery of backend software for Slate’s digital customer experience. Owns code quality, system reliability, functional and integration testing, and technical decision-making. Collaborates with UX and product teams, leads code and design reviews, simplifies complex solutions, and mentors engineers while supporting career development.

Design, develop, and maintain scalable AI-forward APIs, MCPs, and services for Microsoft 365. Lead features from concept through launch, write reusable code, document designs, estimate work, and support production services through on-call responsibilities. Improve reliability, performance, and scalability while mentoring engineers and establishing technical best practices across teams.

Design and build distributed storage systems optimized for AI and machine learning workloads at hyperscale. Lead architecture, development, testing, deployment, scalability, performance, security, and efficiency initiatives for zettabyte-scale Azure storage. Collaborate with AI researchers and cloud infrastructure teams, mentor engineers, evaluate emerging technologies, and solve complex problems involving availability, durability, replication, high-performance I/O, metadata, indexing, caching, and data placement.

Design and implement scalable, durable cloud storage services for Azure Archive Storage. Collaborate with hardware/firmware teams, lead design and feature implementation, mentor engineers, act as DRI and on-call owner, and improve availability, reliability, performance, and observability of large-scale distributed storage systems.

Lead technical ownership of InfiniBand and GPU interconnect fabric operations for hyperscale AI supercomputers. Drive incident response, deep multi-layer debugging across hardware/firmware/drivers/OS, and define failure models, playbooks, telemetry, and automation to improve reliability, observability, and scalability of GPU clusters and platform SLAs.

Own operations and reliability for hyperscale Azure GPU clusters and interconnect fabrics. Lead production incident triage, mitigation, recovery, root-cause analysis, and cross-stack debugging across hardware, GPUs, PCIe, firmware, drivers, and software. Develop automation, telemetry, diagnostics, playbooks, and escalation frameworks to improve observability, operational readiness, and mean time to mitigation for large-scale AI and HPC workloads.

Evaluate AI coding-agent interactions for usefulness, correctness, engineering judgment, reasoning quality, and overall developer experience. Provide rigorous, opinionated feedback, distinguish response-quality levels, and help define standards for excellent interactions with tools such as OpenAI Codex, Claude Code, and Cursor. The role requires deep software engineering experience, familiarity with AI-assisted development workflows, and the ability to assess code and explanations without reviewing every line.