Top Senior Python Jobs in Miami, FL

Owns block- and system-level verification for ASIC and FPGA designs, including test planning, UVM and formal environments, assertions, constrained-random testing, behavioral models, coverage closure, regression automation, and debugging. The role leads multiple verification projects, collaborates with designers and architects, reports progress, and advises external clients on verification strategy. Work is fully remote with possible domestic and international travel.

Design, deploy, enhance, and support secure custom government network platforms and cloud services. Manage CI/CD pipelines, build systems, testing frameworks, distributed databases, and storage ecosystems. Lead technical initiatives, code reviews, security patching, Agile SDLC releases, and system performance improvements. Collaborate with Operations, Engineering, and SRE teams to troubleshoot complex issues and deliver resilient application delivery networks.

Develops, tests, documents, enhances, and maintains software solutions using Appian and related technologies. Designs integrations with external systems, resolves technical issues, remediates security vulnerabilities, improves performance, participates in requirements analysis and Agile development processes, and documents standards. The role also contributes to planning, mentors other engineers, collaborates with team members, and stays current with software development practices and technologies.

Lead customer migrations from self-managed GitLab to GitLab Dedicated using GitLab Geo. Plan replication, cutovers, network connectivity, and post-migration validation while debugging synchronization issues. Build repeatable automation, runbooks, and infrastructure validation using Terraform, Ansible, Kubernetes, and cloud platforms. Manage multiple customer engagements, advise stakeholders, communicate technical plans, and collaborate with Professional Services, Product, and Engineering teams.

Maintains and secures enterprise end-user computing environments across Windows, macOS, Android, and iOS. Responsibilities include endpoint configuration, vulnerability patching, software packaging, virtual desktop administration, policy management, troubleshooting, documentation, hardware standards, automation, root cause analysis, vendor coordination, and support rotation participation.

Develop and operate Arista’s FedRAMP CloudVision SaaS platform at scale. Responsibilities include improving reliability, scalability, observability, autoscaling, disaster recovery, capacity planning, CI/CD, network architecture, cost optimization, and cloud application security. The role develops and manages Kubernetes-native services, distributed databases, and automation using technologies such as GCP, GKE, Go, Python, Ansible, Pulumi, and Bash. Participation in a FedRAMP on-call rotation is required.

Build and operate secure, scalable Azure infrastructure and AI platform capabilities using Terraform, MCP servers, LLMOps/GenAIOps, Docker, Kubernetes, and GitHub Actions. Own CI/CD, observability, reliability, security, compliance, incident response, and production support for platform and AI workloads. Partner on AI platform roadmap development, reusable engineering patterns, tooling adoption, documentation, and Agile delivery while participating in on-call rotations.

Designs and operates enterprise observability, monitoring, telemetry, and automation solutions across infrastructure, applications, IoT platforms, and cloud environments. Responsibilities include managing Grafana and Instana ecosystems, dashboards, alerts, telemetry pipelines, incidents, RCA, databases, and platform health. Automates provisioning, monitoring deployment, remediation, and operational workflows using Python, PowerShell, Bash, Ansible, and Puppet. Supports 24x7 operations, major incidents, ITIL processes, service onboarding, documentation, and cross-functional reliability initiatives.

Own and improve Snowflake platform operations across development, test, and production environments. Responsibilities include security and access governance, reliability engineering, monitoring, incident response, recovery procedures, consumption and cost optimization, change management, automated testing, and controlled releases. The role partners with Data Engineering, Security, Identity, AWS, and commercial technology teams while documenting processes and building reusable automation.

Leads and develops a DevOps platform team responsible for AWS-based developer platforms, CI/CD pipelines, Terraform, EKS, service onboarding, connectivity, secrets, observability integration, and environment promotion. Drives automation, AI-assisted DevOps workflows, platform reliability, security controls, incident response, compliance readiness, and cross-functional delivery. The role combines direct people leadership with hands-on technical oversight of scalable, self-service engineering infrastructure.

Tests, validates, and troubleshoots next-generation cloud server hardware for performance, power, reliability, and quality. Develops test scripts, documents results, identifies defects, recommends improvements, and resolves hardware issues across engineering and manufacturing environments. Requires hands-on embedded systems debugging, Linux and scripting experience, and knowledge of server architecture, firmware, operating systems, networking, storage, and hardware acceleration technologies.

Own reliability and security of CI/CD and production services: define SLI/SLOs, lead incident response and postmortems, build observability (Datadog), operate Kubernetes and IaC (Terraform), harden pipelines with SAST/DAST/SCA and policy-as-code, and coach teams on reliability and operational best practices.

Own and accelerate ELSA’s B2B Dashboard during a three-month contract. Build production-ready full-stack features across Go, Python, and Vue.js; shape product requirements; make UI/UX decisions; improve APIs and user experiences; use AI development tools; and collaborate with product, design, business, and engineering stakeholders to deliver high-impact improvements autonomously.

The Staff Software Engineer will shape technical direction, build developer platforms, and design AI agents, enhancing developer productivity and collaboration across teams.

Design, build, and operate scalable, secure data platform infrastructure for ingesting, processing, cataloging, and accessing petabytes of data. Improve Spark/Databricks reliability and developer experience, build ingestion/replication systems, develop internal libraries and tooling (Go/Python), and collaborate with cross-functional teams to support analytics, ML, and customer-facing data products.

Lead Salesforce and billing platform engineering with an emphasis on AI-driven automation. Build scalable Salesforce solutions (Apex, Flow, LWC), pilot LLM/agent workflows, modernize CI/CD and test automation, support Quote-to-Cash and billing processes, collaborate across product and finance, drive technical debt reduction, and mentor junior engineers.

Design, build, and run secure production infrastructure across cloud-native and air-gapped deployments. Own end-to-end platform outcomes, harden the artifact pipeline for signed releases, embed with teams to advise on security and deployment best practices, and partner with GRC on STIGs, CVE remediation, and audit readiness for classified environments.

Build, operate, and secure cloud-native and edge infrastructure including Kubernetes, artifact pipelines, application streaming, and air-gapped appliances. Partner with product, GRC, and mission owners to design, deploy, and harden systems, remediate vulnerabilities, support audits (IL5/IL6/JWICS), and ensure trusted artifact delivery across environments.

The Staff Software Engineer will lead technical strategy, ensure system availability, and develop backend systems at scale, collaborating across teams to drive capacity modeling and operational quality.

Lead development and reliability of real-time and batch payment-processing systems across authorization, clearing, settlement, disputes, and card-network integrations. Build scalable, secure, low-latency services using Java, Python, Kotlin, and AWS; improve network peering infrastructure, failover, and capacity. Own initiatives from planning through launch, participate in on-call rotations, reduce technical debt, and drive cross-functional engineering improvements and strategic planning.

Build and maintain backend computation engines for solar and electrical design. Develop simulation and optimization systems for PV and battery storage layouts, component selection, and electrical configuration. Translate physical models into reliable, scalable software, shape computation infrastructure, write tested code, mentor teammates, collaborate cross-functionally, and own services through production and on-call support.

Build, test, release, and maintain native Android and iOS applications across a portfolio of consumer mobile products. Use Kotlin, Swift, modern mobile frameworks, automated testing, analytics, experimentation, and AI coding agents to deliver high-quality software. Collaborate with product, design, marketing, operations, and engineering teams, measure user impact, manage app-store releases, and adapt across codebases and product pods.

Develop and launch scalable web and mobile healthcare applications, APIs, integrations, and cloud infrastructure. Contribute to the technical roadmap, observability, security, compliance, and AI/ML infrastructure. Partner with the founding team and data science leadership to incorporate LLMs, support HIPAA and SOC 2 requirements, and build reliable products for patients and enterprise healthcare customers.

Leads development of scalable backend systems and applications for the Mindbody ecosystem. Responsibilities include designing APIs and microservices, owning complex technical projects, collaborating with Product, Design, and QA, promoting engineering best practices, mentoring engineers, conducting code reviews and interviews, and leading incident postmortems. The role requires strong software architecture experience, large-scale SaaS development, cloud and database expertise, and effective cross-functional leadership.

Own reliability, performance, scalability, and operational standards across on-premises, private-cloud, and AWS environments. Build infrastructure-as-code, deployment automation, monitoring, alerting, and observability tooling; define SLOs, SLIs, error budgets, and readiness standards. Lead incident response, root-cause analysis, disaster-recovery readiness, release coordination, and preventive automation. Mentor engineers, coach teams on operational practices, coordinate on-call coverage, and ensure infrastructure meets security and compliance requirements.