Top Senior DevOps Jobs in Miami, FL

Lead architecture, modernization, and development of Group Insurance applications. Modernize mainframe monoliths into Java microservices and micro-frontends on cloud, mentor distributed Agile teams, collaborate with enterprise architecture, product owners and infrastructure, and enable test automation and integrations. Approximately 10% domestic travel.

Lead ServiceNow implementations for enterprise customers: design, develop, integrate, and maintain scalable ServiceNow solutions (ITOM, Discovery, Service Mapping, AIOps). Build custom scripts and integrations, troubleshoot, participate in SCRUM, and work directly with customers to deliver projects on time.

Lead Quality Engineering teams focused on ERP automation testing. Manage client accounts, enforce QA standards and processes, mentor and develop staff, plan and deliver projects, collaborate with Product and DevOps teams, support UAT and QA environments, and drive continuous improvement using tools like JIRA and Azure DevOps.

Lead quality assurance and test strategy across Agile teams, drive automation for testing, mentor QA teams, and ensure high-quality software delivery.

Provides technical leadership for application development, support, and intelligent automation platforms. Leads software engineers and architects; owns strategy, roadmaps, governance, architecture, standards, and adoption for UiPath, ServiceNow, Power Automate, Copilot Studio, and AI integrations. Partners with business and IT stakeholders to prioritize automation opportunities, manage budgets, ensure application stability, and drive Agile software delivery, DevOps, security, technical debt management, and continuous improvement.

Design, build, and operate cloud-native, enterprise-grade SaaS services on Azure. Lead architecture and design, develop APIs and UIs, apply AI-enabled engineering tools, ensure observability, support production incidents, and drive reliability, performance, and CI/CD improvements across teams.

Lead enterprise-scale service mesh implementation across AWS EKS clusters and hundreds of microservices. Establish Kubernetes standards, operate production infrastructure, improve GitOps and CI/CD automation, support PCI DSS compliance, mentor engineers, and drive reliability, observability, capacity planning, incident response, and global platform architecture for a 24/7 SaaS environment.

The DevOps Engineer will manage build and deployment automation, improve platform health, and develop self-service tools while ensuring robust DevOps practices with AWS.

Lead front-end development for cloud-based business software, collaborating with product and design across the SDLC. Define architecture and best practices, mentor teams, ensure performance and scalability, troubleshoot incidents, and advocate for UX while leveraging data to inform decisions.

Lead and contribute hands-on to engineering across co-development game projects, providing technical direction, architecture reviews, debugging/profiling, cross-discipline collaboration, planning, and mentoring while ensuring code quality and performance.

Lead strategy, delivery, and governance for platform engineering across cloud, DevOps, AI applications, Salesforce, automation, and document management. Build and manage a global engineering team, oversee migrations and integrations, manage vendor relationships and budget, and ensure responsible AI and compliance practices for a document-intensive professional services firm.

Design, build, test, and deploy full-stack applications. Contribute to system architecture, participate in design reviews, integrate with CI/CD, write automated tests, resolve defects, mentor junior engineers, collaborate with product and QA, and drive features from concept to production.

Assess, design and improve AWS/Azure cloud environments for security, cost, networking, storage, serverless and containerized deployments. Provide L2+ incident support, create SOPs, mentor junior staff, support Linux/Windows servers, document architecture, participate in governance/change processes, and join a 24/7 on-call rotation.

Lead and grow a platform and infrastructure engineering team (Infrastructure/SQL reliability, Developer Experience, or Tooling). Hire, mentor, and manage delivery of quarterly roadmaps; remain technically engaged in design and code reviews; partner with product, SRE, and security to drive reliability, observability, CI/CD, and platform strategy. Own toolchain, reliability goals, and foster a culture of ownership and continuous improvement.

Technical leader for Salesforce release lifecycle: design and evolve enterprise CI/CD, automate deployments, manage cross-system releases (Salesforce, NetSuite, AWS), resolve deployment and production issues, and integrate AI-driven tooling to improve velocity, reliability, and developer self-service.

Hands-on Software Architect to design and build full-stack, AI-enabled SaaS products and internal tools. Define architecture, reusable components, CI/CD, security, and AI-assisted development practices. Write production code, lead technical decisions, integrate LLMs/RAG/agents and vector search, and establish standards for deployment, testing, and maintainability while accelerating prototype-to-MVP delivery.

Remote Senior Software Engineer who evaluates Microsoft and complementary technologies, designs and implements custom software (C#, JavaScript, SQL), applies cloud and DevOps practices (Azure/AWS, CI/CD, containers), mentors and networks professionally, and continuously learns and advises clients.

Design, build, and operate core platform infrastructure for an Agentic AI platform. Collaborate with cross-functional and ML teams to enable scalable, high-performance systems, provide production support and troubleshooting, and drive platform features that serve multiple products and engineering teams.

Design, develop, and maintain core platform infrastructure for an Agentic AI product. Lead foundational components, collaborate with cross-functional and ML teams, support production systems, troubleshoot performance and scalability, and cultivate developer-friendly frameworks and practices to enable large-scale distributed, AI-oriented workloads.

Hands-on Senior DevOps role to design, automate, and operate scalable AWS infrastructure and Kubernetes platforms. Responsibilities include Terraform-based IaC, CI/CD optimization, observability with DataDog, networking/IAM/secrets management, cost and disaster-recovery improvements, incident response leadership, refactoring manual infrastructure into automated systems, and partnering with engineering to increase reliability and deployment velocity.

Design and implement realistic cloud infrastructure environments and reproducible distributed-system scenarios to evaluate AI model behavior. Build validation tests, golden references, and failure variants; document architectures and operational flows. Apply DevOps and automation to deliver secure, scalable systems and collaborate with technical leads on acceptance criteria.

Lead and architect scalable web systems, mentor frontend and backend developers, define coding standards and roadmaps, drive implementations using React/Next/Node/NestJS, produce technical documentation, conduct code reviews, and collaborate with product and DevOps to deliver secure, maintainable solutions.

Design and build Azure Kubernetes Service features and AI-native infrastructure, improve service reliability and developer velocity, automate incident prevention/remediation, integrate AI tools, and operate distributed, containerized systems at cloud scale.

Build and maintain full‑stack TypeScript web applications, design RESTful APIs and microservices, optimize frontend and backend performance, write tests, participate across the development lifecycle, perform code reviews, and collaborate with product and design to ship scalable travel‑management features.

Design, build, and maintain scalable enterprise full-stack applications using Java, Spring Boot, microservices, and modern front-end frameworks. Implement cloud-based solutions on AWS, contribute to CI/CD and DevOps automation, optimize performance and security, and integrate AI-driven capabilities using Python and orchestration tools like LangChain and LangGraph.