Platform Engineer

• Define and execute the enterprise Platform Engineering strategy supporting Consumer Products and Corporate Technology.
• Lead the evolution of engineering platforms that improve developer experience, platform consistency, scalability, and operational efficiency.
• Establish enterprise standards for platform architecture, engineering automation, and software delivery.
• Drive adoption of Internal Developer Platforms (IDPs), Infrastructure as Code, cloud platform engineering, Kubernetes, container platforms, release engineering, environment management, artifact repositories, secrets management, observability platforms, and platform networking.
• Build reusable engineering capabilities that enable product teams to deliver software securely and efficiently.
• Leadership, People Management, Budget & Vendor Management

Senior Director, Autonomous Platform Engineering

• Own and evolve the Specialty Distribution Data strategy while contributing to broader Enterprise Data, AI, and Specialty Distribution AI strategies.
• Develop and maintain roadmaps that translate business priorities into executable data, analytics, and AI platform initiatives.
• Establish scalable architecture patterns, engineering standards, governance practices, and delivery frameworks for data and AI solutions.
• Implement extensible and reusable data products that align with enterprise models, technology standards, security controls, and platform patterns.
• Manage data and AI risk, including compliance with enterprise data, AI, security, privacy, and regulatory policies.
• Build and lead a best-practice data and AI engineering operating model, including team structure, processes, tools, standards, governance, and ways of working.
• Ensure the reliable operation of data services, platforms, pipelines, integration services, orchestration tools, reporting data sets, and supporting infrastructure.
• Oversee the design, build, optimization, and support of modern data pipelines using technologies such as Databricks, Delta Lake, Azure Data Services, Azure Data Factory, Azure Data Lake, Synapse, SQL, and related platforms.
• Lead the delivery of AI solutions, AI agents, automation capabilities, and intelligent products in partnership with Enterprise AI, business teams, and platform stakeholders.
• Deliver data and AI initiatives from concept through production, ensuring solutions are aligned to business priorities, enterprise standards, and measurable value.
• Build strong relationships with executive stakeholders, business leaders, product owners, analytics teams, and technology partners to translate business needs into effective data and AI capabilities.
• Build, lead, and develop a high-performing AI and data engineering organization capable of delivering at enterprise scale.

Head of AI and Data Platform Engineering – Specialty Distribution

• Own the technical roadmap for Platform Engineering.
• Architect, build, and operate highly scalable backend services using Ruby on Rails.
• Design and operate our Kubernetes infrastructure, cloud architecture, and deployment pipelines.
• Improve developer productivity through CI/CD, automation, internal tooling, and engineering best practices.
• Build and evolve the platform powering our AI products, including LLM orchestration, agent infrastructure, prompt management, evaluation pipelines, model routing, and AI observability.
• Own our billing platform, including subscriptions, licensing, payments, usage metering, invoicing, and Stripe integrations.
• Design and maintain secure, scalable integrations with HRIS platforms, identity providers, and enterprise customers using REST APIs, OAuth, SAML, SCIM, and webhooks.
• Build best-in-class observability through logging, metrics, tracing, alerting, and performance monitoring.
• Improve the scalability, security, reliability, and operational excellence of our platform.
• Lead architectural decisions that impact multiple engineering teams.
• Mentor engineers through technical leadership, design reviews, and engineering best practices.
• Diagnose and resolve complex production issues across infrastructure, applications, and distributed systems.
• Help establish and grow the Platform Engineering function as EasyLlama scales.

Staff Software Engineer – Platform

• Design and implement scalable workflow orchestration platforms using technologies such as Temporal, Azure Durable Functions, Camunda, or similar workflow engines.
• Build long-running, fault-tolerant workflows supporting underwriting, borrower onboarding, fulfillment, servicing, and operational lending processes.
• Develop durable execution patterns including retries, checkpointing, recovery mechanisms, asynchronous coordination, and workflow resiliency.
• Design distributed event-driven architectures utilizing Azure Service Bus, Event Grid, APIs, and messaging services.
• Build highly scalable AI execution infrastructure capable of orchestrating complex multi-step business workflows.
• Continuously optimize workflow performance, scalability, and operational efficiency across AI-enabled platforms.
• Architect and deploy cloud-native applications using Microsoft Azure services.

A.I. Platform Engineer

• Design and build the next-generation bare metal deployment pipeline to achieve sub-60-second provisioning times
• Develop and maintain Vultr’s bare metal automation and management toolkit
• Implement automated firmware update workflows across the bare metal fleet using IPMI/BMC protocols
• Build and optimize kexec-based fast boot and provisioning flows to minimize deployment latency
• Integrate cloud-init and instance metadata service for bare metal, enabling consistent configuration across VM and BM products
• Develop Puppet and Ansible modules for bare metal server configuration and lifecycle management
• Architect and implement VPC networking for bare metal instances, including network attach and routing automation
• Collaborate with the Provisioning and Orchestration teams to unify OS image pipelines and ensure bare metal integrates cleanly with Vultr’s reservation and assignment systems

Platform Engineer – Bare Metal

• Build and maintain security services, tools, and automation using Python or Go
• Design and implement security controls for AWS and Kubernetes environments using infrastructure-as-code
• Create reusable libraries, frameworks, and platforms that enable secure-by-default patterns
• Develop automated security monitoring, scanning, and remediation services
• Build CI/CD security gates and policy-as-code validation tools
• Partner with engineering teams on architecture decisions and provide security consultation
• Participate in on-call rotation for critical security incidents and infrastructure issues

Staff Platform Security Engineer

• Participate in the design, development, and service/operation of the enterprise pro-code AI agent platform on Azure, including Foundry integrations.
• Develop highly available, scalable, and reproducible Azure environments scripts using Infrastructure as Code (Terraform);
• Implement CI/CD pipelines for platform components and configurations.
• Implement robust controls across identity (RBAC) and policy guardrails aligned to enterprise and regulatory standards.
• Operationalize Microsoft Foundry and related AI/ML services to enable agentic applications and create run-books for development teams.
• Establish comprehensive monitoring, logging, tracing, and alerting.
• Contribute to manage global environments and self-service tenants.

Senior Associate, Platform Engineer

• Design, implement, and support large-scale Virtual Environments using Red Hat OpenShift, including engaging in and improving the whole lifecycle of services — from inception and design to deployment, operation, and refinement, and through decommissioning.
• Design, implement, and support large-scale Hardware Environments (e.g., Cisco, HP, Dell), including engaging in and improving the whole lifecycle of services — from inception and design to deployment, operation, and refinement, and through decommissioning.
• Identify opportunities to leverage and implement automation and Infrastructure as Code to provision and maintain our virtual environment and increase customer enablement. Leverage automation to reduce the number of manual processes performed to have more time to focus on value-added work.
• Support and maintain services and systems before they go live and when in production, including monitoring availability, latency, performance, and overall system health.
• Contribute to systematic exploration, discovery, and recommendation of new and emerging technologies pertaining to VSEs' services.
• Create, update, and maintain documentation reflecting all virtual environments' architecture, configuration, and operation.
• Provide incident and ticket responses and participate in an On-Call rotation.

• Design and build a scalable Agentic AI framework on top of our data platform.
• Implement MCP- and A2A-based architectures for agent collaboration and orchestration.
• Integrate AI services with data pipelines (Airflow, Spark, Trino, StarRocks, DBT).
• Build APIs, SDKs, and tooling to enable other teams to use the framework.
• Work with platform and application teams to ensure secure, reliable, and multi-tenant deployment of AI agents.
• Evaluate new agentic AI, LLM, and orchestration technologies and recommend adoption.
• Mentor other engineers and contribute to AI engineering best practices.

Senior AI Platform Engineer

• Own and evolve the developer experience across all product engineering teams: tooling standards, AI harness integration, deployment pipelines, and governance model.
• Define and enforce platform engineering standards that enable engineering teams to ship faster and at a higher quality bar.
• Drive adoption of AI-native SDLC practices across the organization, partnering with engineering managers to measure and improve development velocity.
• Build and lead the Platform Engineering team, including a Senior Platform Engineer and SRE/DevOps Lead.
• Develop engineering talent and establish the culture of the platform function — reliability, craftsmanship, automation-first thinking.
• Own the reliability posture of the platform: uptime SLOs, on-call frameworks, incident response standards, and postmortem culture.
• Establish telemetry, observability, and alerting standards across all product lines (DataDog, CloudWatch, PagerDuty).
• Be an active participant in FMG's AI engineering transformation — from agentic development tools to AI-assisted QA and testing.

Director of Platform Engineering

• Champion a "platform as a product" mindset, regularly gathering feedback from engineering teams and iterating to improve the developer experience
• Design, build and maintain scalable, reliable infrastructure on Google Cloud to support our growing product needs
• Collaborate closely with developers to streamline local and CI/CD workflows, and champion platform best practices
• Evolve our observability stack - ensuring teams have the monitoring, logging and alerting they need to move quickly and confidently
• Implement and maintain secure-by-default patterns for networking, secrets management, IAM, and workload isolation
• Accelerate and complete the adoption of infrastructure-as-code (IaC) and GitOps to achieve consistent and auditable infrastructure changes

Senior/Staff Platform Engineer

• Act as the enterprise Practice Lead and Principal Engineer for the Snowflake platform, providing technical direction and decision-making authority
• Assume leadership of the Snowflake environment following prior platform leadership transitions, ensuring continuity and stability
• Own platform-level decisions that impact enterprise-scale and regulated workloads, including GxP and SOX-aligned environments
• Provide deep expertise on Snowflake capabilities, including AI, Cortex, adaptive warehouses, multi-region deployments, and cost optimization patterns
• Advise downstream application and solution teams on Snowflake architecture patterns, migrations, and best practices
• Partner with architecture and platform teams to ensure Snowflake is tightly integrated into the broader enterprise ecosystem
• Drive innovation through proofs of concept and advanced platform features, including AI-driven agents, natural language interaction, and automation
• Lead or contribute to platform extensions that simplify usage, improve supportability, and enhance developer experience
• Guide platform readiness for new Snowflake releases by assessing scope, risk, and impact
• Serve as a key technical partner to Digital, business, architecture, and delivery teams across the organization
• Work directly with the Snowflake vendor and Resident Solution Architects on escalations, roadmap alignment, and feature adoption
• Lead enterprise communications around Snowflake features, changes, and deprecations to a large global user base
• Ensure Snowflake platform implementations meet enterprise compliance, security, and data protection standards, including regulated GxP workloads
• Partner with platform support teams to optimize monitoring, ticketing integration, and operational efficiency
• Act as a go-to expert and mentor for Snowflake engineers and platform team members
• Lead technical interviews and skill assessments for Snowflake-related roles
• Foster an active Snowflake community of practice through knowledge sharing, sessions, and best-practice dissemination

Senior Snowflake Platform Engineer

• Leading teams of developers (both Disney Cast Members and external vendors) in major software/data development projects.
• Designing and developing highly scalable, distributed enterprise data platform solutions.
• Design, develop and implement scalable distributed enterprise data platform solutions, focusing on multi-cluster warehousing, data sharing, and optimized storage.
• Write code that establishes and enhances frameworks and design proof of concepts, and review code for correctness, and its impact on software architecture.
• Lead the development of high-performance ETL/ELT pipelines using tools like dbt, Python, Airflow and more to integrate diverse data sources.
• Provide mentorship and direction to more junior software engineers on the team; serve as an advanced resources for other engineers on the team.
• Being the ongoing technical lead for data platform products (post-implementation)—leading engineering support for the production platform, leading ongoing enhancement projects, guiding technical product roadmap
• Partner with Data Science, Analytics, and Product teams to ensure the platform meets evolving business requirements.
• Establish standards for data modeling (Vault, Star Schema), security (RBAC), and data quality frameworks.

Lead Data Platform Engineer

• Architect and implement entity resolution logic to de-duplicate and link disparate data points into unified "Golden Records" for businesses and individuals
• Design and maintain a high-performance global business knowledge graph and ontology to map complex ownership chains, UBOs, and hidden risk relationships across international borders
• Implement a hybrid storage strategy that bridges graph databases for relationship mapping with document and search stores for rich metadata and adverse media content
• Optimize the platform for real-time risk assessment, ensuring the ability to traverse multiple levels of ownership in milliseconds to support automated "Go/No-Go" onboarding decisions
• Design and build scalable data services and APIs for ingesting, transforming, and serving data across the company
• Develop and maintain batch and streaming data pipelines using modern data processing frameworks and AWS cloud-native tooling
• Own the reliability, performance, and API first data platform, including monitoring, alerting, and on-call where appropriate
• Implement best practices for data modeling, quality, lineage, and governance to ensure trustworthy, well-documented datasets
• Work closely with data scientists, analysts, and application engineers to understand their needs and translate them into robust platform capabilities
• Drive automation and standardization through CI/CD, model as a service, and reproducible environments
• Help define and evolve the architecture of our data platform as a true internal service with clear contracts, SLAs, and versioned APIs

Data Platform Engineer

• Collaborate with data platform architects to design and specify platform tooling, services, and integrations
• Build data lake and lake house architectures
• Build streaming data architectures to support data platform tooling and services
• Collaborate with software teams to integrate streaming and batch architectures with software products
• Collaborate with data scientists, analysts, and business stakeholders to MVP optimal solutions
• Collaborate with data governance teams and data platform architects to build governance into technical solutions
• Maintain systems and services that provide transparency and observability into our critical systems
• Implement and promote engineering and architectural patterns, perform code reviews, and collaborate in architectural reviews
• Collaborate with product team data engineers and architects to MVP data products, maintain data models, and promote data modeling best practice
• Provide technical leadership and mentorship to product and data engineers, guiding their growth and professional development and enabling their ability to use platform tooling and services
• Lead by example through hands-on contributions to designing, coding, and troubleshooting complex data systems
• Identify and address performance bottlenecks and optimization opportunities within data pipelines, databases, and processing frameworks
• Optimize data processing workflows to improve efficiency and reduce latency
• Lead efforts to diagnose and resolve data-related incidents in a timely manner
• Will participate in the grooming of stories
• Will be responsible for their own tasking towards the completion of stories
• Will mentor junior members of the team and guide junior members on best practice
• Will participate in design
• Will be responsible for the quality of their own code and will participate in code review of others product
• Will be responsible for integrating their own code with the team's DevOps plan and implementation

• support Lilypad tech team as Insurance Platform Engineer
• build integrations and automation against the BriteCore API
• design and implement internal tooling connecting BriteCore to other systems
• configure rates, rules, forms, and product workflows in BriteCore
• troubleshoot platform issues and interface with BriteCore support when needed
• build pipelines and reporting automations that surface policy, billing, and claims data
• identify and build out opportunities for process automation
• partner with AVP of Policy Systems and Reporting to translate business requirements into technical solutions
• document system configurations, integrations, and workflow
• be the technical advocate for the PAS layer in product and engineering planning

Insurance Platform Engineer

• Provision complete infrastructure stacks for new product launches. Recent examples include full EKS buildouts (Karpenter, Istio, Crossplane), PostgreSQL/Redis data stores with IAM authentication, CloudFront distributions, and Datadog instrumentation across multiple concurrent initiatives.
• Lead Kubernetes platform evolution. Drive cluster upgrades, add-on lifecycle (Karpenter, Istio, Crossplane), pod identity migration, and namespace management across all environments.
• Design secure, scalable abstractions that hide infrastructure complexity and define the golden paths other teams build on.
• Own authentication infrastructure for internal and external products: Auth0 SSO, Azure AD/Entra, AWS IAM, EKS Pod Identity, and OIDC federation.
• Drive zero-trust infrastructure patterns. Rotating IAM credentials for RDS, per-app Istio authorization policies, and network isolation.
• Enable LLM-powered workflows (Bedrock, Claude Code, and similar) that let engineering teams move faster without sacrificing governance.

Senior Platform Engineer

• Administering, designing, and delivering secure, scalable Power Platform solutions across the firm’s Microsoft 365 tenant
• Contribute to Power Platform environment strategy, governance, and lifecycle management
• Serve as a Power Platform Administrator
• Partner with Cloud Services, Application teams, Information Security, and other functional groups to deliver enterprise solutions using the Power Platform
• Integrate Power Platform solutions with Azure services and external platforms
• Collaborate with Information Security to ensure solutions meet firm security, privacy, and compliance requirements
• Lead troubleshooting and performance tuning of Power Platform solutions
• Provide technical leadership, mentorship, and guidance to developers

Power Platform Engineer

• Lead the comprehensive architecture and detailed design of enterprise platform services
• Define and implement industry-leading best practices for infrastructure as code
• Drive complex platform modernization initiatives
• Establish and enforce reliability, resiliency, and observability standards
• Partner strategically with product teams, AI engineering teams, security architects, and compliance specialists

Platform Engineer jobs in Florida

See all jobs on JobTailor

Senior Director, Autonomous Platform Engineering

Head of AI and Data Platform Engineering – Specialty Distribution

Staff Software Engineer – Platform

A.I. Platform Engineer

Platform Engineer – Bare Metal

Staff Platform Security Engineer

Senior Associate, Platform Engineer

Platform Engineer

Senior AI Platform Engineer

Director of Platform Engineering

Senior/Staff Platform Engineer

Senior Snowflake Platform Engineer

Lead Data Platform Engineer

Data Platform Engineer

Data Platform Engineer

Insurance Platform Engineer

Senior Platform Engineer

Power Platform Engineer

Lead, AI Platform Engineer