Top Senior Python Jobs in Miami, FL

The DevOps Engineer supports software development teams across development platforms, compilation, deployment, monitoring, and the SDLC. Responsibilities include managing deployments, creating release structures, maintaining CI/CD processes, facilitating development and infrastructure team communication, researching new technologies, developing proofs of concept, and documenting systems and processes. The role requires enterprise IT engineering experience, systems administration knowledge, monitoring expertise, and familiarity with automation, containers, testing, and version control.

The role involves designing and expanding backend systems, mentoring engineers, and executing technical strategies to modernize architecture and improve system performance.

Own reliability, monitoring, and incident response for AI infrastructure; build automation and CI/CD tooling; manage Kubernetes/Docker production workloads; partner with infrastructure, security, and compliance; improve observability and documentation; develop internal full‑stack tooling in Go or Python.

Build and maintain secure, compliant software for a CDC disease surveillance platform. Partner directly with health departments during onboarding, migration, and troubleshooting; diagnose product gaps and configuration issues; develop scripts, integrations, and configurations without forking the core platform; collaborate with platform, data, and epidemiology teams; and identify recurring jurisdiction needs for future product features.

Leads the day-to-day management and delivery of internal and partner engineering teams. Responsibilities include assigning work, unblocking engineers, maintaining scoped tickets in Linear, coordinating shared workstreams, shaping technical direction with product and engineering teams, managing performance and growth, and supporting hiring and team structure. The role also champions spec-driven development and AI-assisted engineering practices while managing distributed engineers across time zones.

Leads end-to-end full-stack application architecture and development, specializing in React, TypeScript, micro-frontends, UI design systems, APIs, accessibility, security, performance, and test automation. Establishes engineering standards, oversees delivery, mentors developers, conducts code reviews, and drives scalability, reliability, CI/CD, monitoring, and AI-assisted development practices. Collaborates with stakeholders on technical solutions, roadmaps, estimation, sprint planning, and risk resolution.

Build and maintain CI/CD pipelines, cloud infrastructure, Terraform automation, database systems, monitoring, and observability on Google Cloud. Support reliability, security, compliance, incident response, and shared on-call operations while applying backend engineering expertise to production services. The role manages PostgreSQL, Redis, BigQuery, Bigtable, and Firestore environments and contributes to disaster recovery and operational tooling.

Architects, implements, and operates secure, scalable Microsoft Azure solutions supporting generative AI and scientific research. Develops Terraform infrastructure, automation, and CI/CD pipelines; integrates compute, storage, networking, identity, security, monitoring, APIs, and AI services. Troubleshoots performance, reliability, security, and cost issues across application and infrastructure layers. Partners with developers, AI engineers, security teams, and customers to translate requirements into architecture, mentors engineers, evaluates tradeoffs, and supports compliance and authorization activities.

Architect and build Tagup’s core platform for ingesting, processing, and acting on billions of physical-world data points. Develop high-performance REST APIs, microservices, scalable ETL pipelines, AI-agent data systems, and cloud infrastructure. Own architectural domains spanning API design, data modeling, deployment, monitoring, and automated CI/CD. Ensure high availability, mentor junior engineers, and establish strong engineering standards while collaborating with data scientists and defense-focused operators.

Architect and operate North’s AWS and multi-cloud infrastructure, establishing IaC, CI/CD, security, observability, and disaster-recovery standards. Build AIOps capabilities including anomaly detection, predictive scaling, self-healing remediation, AI-assisted tooling, and cloud cost optimization. Collaborate with DevOps, SRE, Product Engineering, and InfoSec teams to deliver resilient, compliant, highly scalable platforms.

Lead the design, delivery, and production adoption of integrations-platform features, including SDKs, agents, job pipelines, developer tooling, and related services. Drive AI-enabled integration authoring, reliability, scalability, observability, and cross-platform support. Partner across product, platform, and customer teams to translate needs into technical solutions while providing architectural leadership, mentorship, and hands-on guidance across distributed systems and workflow orchestration.

Work with customers and cross-functional teams to design, build, and deliver cloud-based solutions. Lead design, identify dependencies, mentor engineers, act as DRI and on-call, and improve availability, reliability, observability, and performance. Contribute to open-source assets and collaborate with Microsoft product teams to produce extensible, maintainable code and scalable solution patterns.

Lead and mature AWS platform operations and DevOps practices, automate infrastructure and deployments, migrate complex workloads to AWS, design Kubernetes and serverless solutions, integrate AI/ML platform capabilities, troubleshoot complex systems, and coach teams while upholding organizational faith and child protection commitments.

Develop and operate highly scalable backend systems and AWS infrastructure. Responsibilities include maintaining Python HTTP services, working with DynamoDB, Elasticsearch, and Redis, provisioning cloud resources through infrastructure as code, reasoning about distributed systems, and owning software from design through monitoring. The role also focuses on reliability, security, performance, cost optimization, observability, technical roadmaps, and collaboration with engineering and product stakeholders.

Build and own Alkami’s next-generation sales demo tooling across front-end and back-end systems. Partner with Sales Engineering, Sales Leadership, Product, and Engineering to identify gaps, develop API- and SDK-based tools, evaluate technical stacks, and improve sales win rates. Provide technical expertise during complex financial-services deals, coach Sales Engineers, communicate technical value to senior stakeholders, and champion AI-assisted development workflows.

Design and build Go-based control-plane services, CSI drivers, storage integrations, observability tools, and infrastructure automation for Kubernetes AI platforms. Integrate enterprise and scale-out storage, support bare-metal and hybrid provisioning, and deliver declarative Terraform/OpenTofu and GitOps workflows. Architect reliable storage solutions for Kubernetes clusters, air-gapped environments, and sovereign infrastructure, including artifact mirrors and PKI/TLS.

Lead the design and development of mission-relevant software, build backend services and APIs, mentor engineers, and support technical demos.

Design, implement, and operate cloud-scale telemetry platforms and data pipelines for Azure Monitor. Lead cross-team architecture, mentor engineers, improve AI-enabled development practices, ensure security/compliance, and resolve complex production incidents.

The Senior Data Infrastructure Engineer designs and scales data platforms on AWS, optimizing performance, cost, and security while mentoring junior engineers.

Leads platform incident investigations, coordinates detection and resolution, performs root cause analyses, and designs customer-focused monitoring, alerting, and observability workflows. Builds automation, improves platform reliability, mentors engineers, and participates in on-call rotations. The role requires cloud, container orchestration, monitoring, logging, alerting, incident management, and production automation expertise.

Designs, develops, and supports enterprise-scale ETL/ELT pipelines and data warehouse solutions using Ab Initio, Snowflake, Azure, SQL, Python, and shell scripting. Responsibilities include metadata and lineage management, dimensional and Data Vault modeling, data quality validation, CI/CD, production troubleshooting, and batch, real-time, file-based, and API integrations. The role supports healthcare data domains such as claims, membership, providers, health plans, and benefits.

Own portfolio-wide data center network architecture, structured cabling, security, OT segmentation, colocation connectivity, commissioning, and production operations. Design standards and construction specifications, review contractor work, manage monitoring, changes, capacity, incidents, and documentation, and serve as the escalation point for live-site network issues. The remote role requires heavy travel to active construction and commissioning sites.

Design, develop, test, and support Salesforce platform solutions; lead technical design sessions; mentor junior developers; implement custom Apex/Lightning solutions; ensure security, performance, and scalable integrations; develop automated tests and CI/CD pipelines; collaborate with product owners and participate in Agile delivery.

Lead the design and development of an expense management platform, mentor engineering teams, and collaborate with stakeholders on product requirements.

Lead and mentor a software engineering team, provide technical guidance, drive architecture and engineering excellence, manage sprint execution, collaborate on product roadmaps, ensure scalable and reliable systems, foster continuous improvement, and support recruiting and onboarding. The role requires balancing technical strategy with business impact while developing high-performing engineers.