Platform Engineering Manager Jobs in Florida
Platform Engineering Manager jobs in Florida are active across the state's growing technology, defense, financial services, and healthcare IT sectors, with openings ranging from emerging team leads to senior directors overseeing large-scale infrastructure. Miami, Tampa, and Orlando are the primary hiring metros, anchored by employers such as Lockheed Martin, Citigroup, and AdventHealth, all of which maintain significant Florida operations and consistently recruit platform engineering managers. The most in-demand specialties include cloud infrastructure governance, Kubernetes and container orchestration, and DevSecOps platform ownership. Find a role that fits below and apply directly.
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Showing 5 of 12+ Platform Engineering Manager jobs
Position Type :
Full timeType Of Hire :
Experienced (relevant combo of work and education)Job Description
About the role
Reporting to the Head of Architecture for Platform Engineering, the Principal Solution Architect plays a crucial role in designing and delivering enterprise platform capabilities. Platform Engineering is chartered to deliver the shared capabilities that product engineering teams use to deliver secure, reliable, performant, high-quality products to clients faster.
Platform Engineering’s portfolio spans AI Engineering, API & Event Management, Front End, Site Reliability Engineering (SRE), Developer Experience & Quality, and Customer Identity & Access Management.
This role’s primary focus is AI Engineering: architecting how AI and agentic capabilities are built into the software development lifecycle (SDLC) so that engineering teams can deliver higher-quality software faster and more safely.
You will shape the patterns, platforms, and guardrails that move teams from individual AI assistance to governed, agent-driven workflows at enterprise scale. Like every architect on the team, you will also contribute across all platform domains and may lead initiatives in any of them, so broad, enterprise-level platform thinking and engineering excellence are as essential as AI depth.
What you will be doing
You will make a significant impact on the company’s modernization and transformation journey by designing, documenting, and driving adoption of modern engineering patterns for next-generation platform capabilities and the ways product teams consume them. AI-first delivery is central to that journey.
Your focus spans the full SDLC, from AI-assisted planning, design, and coding, through automated code review, testing, and security remediation, to agent-supported release and operations, along with the governance, security, and measurement that allow the enterprise to trust and scale these capabilities.
You will draw on significant hands-on software engineering experience in product delivery to turn complex business needs into thoughtful, practical solutions.
You will bring cloud-native and AI-native patterns to our platforms, build roadmaps that clearly sequence the steps of our modernization journey, and apply enterprise architecture practices such as governance, ecosystem analysis, and vendor evaluation, while providing thought leadership on what is possible as we transform engineering culture at FIS.
Specifically, you will be responsible for:
- Contributing platform thinking and subject matter expertise across all platform domains, applying modern engineering and architectural patterns to design systems (APIs, services, events, data, UI, and supporting capabilities) that enable engineering teams to deliver product capabilities rapidly
- Creating and communicating best-practice target-state designs that use cloud-native patterns and are easy for engineering teams to consume, supported by clear artifacts such as business case and process context, context and sequence diagrams, and architecture decision records
- Leading the architecture and roadmap for AI and agentic capabilities across the SDLC, including requirements and design assistance, AI-assisted coding, automated code review and test generation, vulnerability and dependency remediation, documentation, and release and operational support, with clearly defined human-in-the-loop checkpoints and accountability for AI-generated changes
- Defining the shared foundations engineering teams use to adopt AI safely and at scale, including governed model access and routing, agent orchestration and tool integration through open standards such as the Model Context Protocol (MCP), retrieval over internal code and engineering knowledge, agent identity and least-privilege permissions, guardrails and audit trails, and evaluation, observability, and cost management of AI usage
- Partnering with leaders across the Platform Engineering organization to introduce, socialize, and champion modernization of front-end, middle-tier, and back-end technology stacks within an AI-first delivery model
- Leading evaluations of new and existing vendors for fit with Platform Engineering’s strategy, technology approach, and integration patterns
- Defining and driving adoption of integration patterns across internal systems, services, and capabilities so that quality data, events, and services are available for consumption regardless of channel
- Partnering with platform owners, product partners, and other stakeholders on the intake and evaluation of platform capabilities and features, influencing design decisions and approaches before execution and delivery begin
- Validating designs through hands-on proofs of concept and reference implementations, and contributing to architecture reviews and governance across the team
- Articulating the business value of the architectural roadmap, including fact-based “over the horizon” perspectives with options and trade-offs that align to the broader business and engineering strategy
What you will need
- 10+ years of solution architecture and senior software engineering experience, including significant hands-on product delivery, in a fast-paced, global software delivery organization that operates with ambiguity
- Expert understanding of software and internet architecture, including modern front-end and back-end stacks, API management and identity and access management, cloud-native and on-premises infrastructure (containers, Kubernetes, infrastructure as code), networking and internet connectivity, and browser and mobile application delivery
- Deep expertise designing and delivering AI-enabled engineering capabilities, including AI coding assistants and agents, LLM application patterns (retrieval-augmented generation, tool use, and multi-agent orchestration), context engineering, and evaluation of model and agent quality, with hands-on experience applying them to real software delivery workflows
- Strong understanding of the risks AI introduces into the SDLC, such as sensitive data exposure, prompt injection, insecure or improperly licensed generated code, and over-privileged agents, and how to mitigate them through identity, policy, human oversight, and auditability
- Demonstrated track record of delivering platform capabilities that power consumer-facing software products, especially API- and event-driven systems
- Deep experience adopting and operating within a modern SDLC and engineering practice (AI-enabled development, DevSecOps, CI/CD, GitOps, and platform-as-a-product)
- Thorough understanding of modern information security and data protection practices and how to apply them across technology stacks in regulated environments
- Collaborative, low-ego approach focused on business outcomes, with the ability to motivate and energize others and influence without authority to achieve common goals
- Exceptional communication skills and can navigate and influence at every level of the organization, tailoring the message to any audience to achieve the desired outcome
Preferred qualifications
- Experience in financial services or other regulated industries, including model risk management, responsible AI practices, and emerging AI regulation, and how they shape architecture decisions
- Experience measuring engineering productivity and the impact of AI adoption using frameworks such as DORA metrics, and leading the change management needed to drive adoption at scale
- Experience applying AI to modernize legacy platforms and codebases, such as mainframe or large monolithic applications
- Hands-on experience with multiple model providers, agent frameworks, and the AI services of major cloud providers, including trade-offs in model selection, hosting, and cost
- Undergraduate degree in Engineering, Computer Science, or another technical field
Personal characteristics
- Demonstrates sound judgment and flexibility, thinking comprehensively about issues and developing solutions that account for the broader context and strategy
- Maintains a positive, adaptable approach to rapidly shifting priorities, topics, and environments
- Takes initiative, translating strategy into action and driving delivery with a “roll up the sleeves” approach
- Remains calm and structured under pressure, bringing clarity to high-stakes situations such as major incidents and critical decisions
- Builds strong relationships and negotiates effectively with internal and external stakeholders, grounding decisions in data
- Combines intellectual curiosity and a drive for excellence with a track record of success and a reputation as someone others enjoy working with
- Brings strong attention to detail, a commitment to adopting and implementing best practices, and a bias toward continuous improvement
- Embodies and delivers the firm’s values and culture towards colleagues, clients, and communities:
Win as one team
Lead with integrity
Be the change
Privacy Statement
FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.
EEOC Statement
FIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here supplement document available here
For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis.
Sourcing Model
Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.
#pridepass
Position Type :
Full timeType Of Hire :
Experienced (relevant combo of work and education)Job Description
About the role
Reporting to the Head of Architecture for Platform Engineering, the Principal Solution Architect plays a crucial role in designing and delivering enterprise platform capabilities. Platform Engineering is chartered to deliver the shared capabilities that product engineering teams use to deliver secure, reliable, performant, high-quality products to clients faster.
Platform Engineering’s portfolio spans AI Engineering, API & Event Management, Front End, Site Reliability Engineering (SRE), Developer Experience & Quality, and Customer Identity & Access Management.
This role’s primary focus is AI Engineering: architecting how AI and agentic capabilities are built into the software development lifecycle (SDLC) so that engineering teams can deliver higher-quality software faster and more safely.
You will shape the patterns, platforms, and guardrails that move teams from individual AI assistance to governed, agent-driven workflows at enterprise scale. Like every architect on the team, you will also contribute across all platform domains and may lead initiatives in any of them, so broad, enterprise-level platform thinking and engineering excellence are as essential as AI depth.
What you will be doing
You will make a significant impact on the company’s modernization and transformation journey by designing, documenting, and driving adoption of modern engineering patterns for next-generation platform capabilities and the ways product teams consume them. AI-first delivery is central to that journey.
Your focus spans the full SDLC, from AI-assisted planning, design, and coding, through automated code review, testing, and security remediation, to agent-supported release and operations, along with the governance, security, and measurement that allow the enterprise to trust and scale these capabilities.
You will draw on significant hands-on software engineering experience in product delivery to turn complex business needs into thoughtful, practical solutions.
You will bring cloud-native and AI-native patterns to our platforms, build roadmaps that clearly sequence the steps of our modernization journey, and apply enterprise architecture practices such as governance, ecosystem analysis, and vendor evaluation, while providing thought leadership on what is possible as we transform engineering culture at FIS.
Specifically, you will be responsible for:
- Contributing platform thinking and subject matter expertise across all platform domains, applying modern engineering and architectural patterns to design systems (APIs, services, events, data, UI, and supporting capabilities) that enable engineering teams to deliver product capabilities rapidly
- Creating and communicating best-practice target-state designs that use cloud-native patterns and are easy for engineering teams to consume, supported by clear artifacts such as business case and process context, context and sequence diagrams, and architecture decision records
- Leading the architecture and roadmap for AI and agentic capabilities across the SDLC, including requirements and design assistance, AI-assisted coding, automated code review and test generation, vulnerability and dependency remediation, documentation, and release and operational support, with clearly defined human-in-the-loop checkpoints and accountability for AI-generated changes
- Defining the shared foundations engineering teams use to adopt AI safely and at scale, including governed model access and routing, agent orchestration and tool integration through open standards such as the Model Context Protocol (MCP), retrieval over internal code and engineering knowledge, agent identity and least-privilege permissions, guardrails and audit trails, and evaluation, observability, and cost management of AI usage
- Partnering with leaders across the Platform Engineering organization to introduce, socialize, and champion modernization of front-end, middle-tier, and back-end technology stacks within an AI-first delivery model
- Leading evaluations of new and existing vendors for fit with Platform Engineering’s strategy, technology approach, and integration patterns
- Defining and driving adoption of integration patterns across internal systems, services, and capabilities so that quality data, events, and services are available for consumption regardless of channel
- Partnering with platform owners, product partners, and other stakeholders on the intake and evaluation of platform capabilities and features, influencing design decisions and approaches before execution and delivery begin
- Validating designs through hands-on proofs of concept and reference implementations, and contributing to architecture reviews and governance across the team
- Articulating the business value of the architectural roadmap, including fact-based “over the horizon” perspectives with options and trade-offs that align to the broader business and engineering strategy
What you will need
- 10+ years of solution architecture and senior software engineering experience, including significant hands-on product delivery, in a fast-paced, global software delivery organization that operates with ambiguity
- Expert understanding of software and internet architecture, including modern front-end and back-end stacks, API management and identity and access management, cloud-native and on-premises infrastructure (containers, Kubernetes, infrastructure as code), networking and internet connectivity, and browser and mobile application delivery
- Deep expertise designing and delivering AI-enabled engineering capabilities, including AI coding assistants and agents, LLM application patterns (retrieval-augmented generation, tool use, and multi-agent orchestration), context engineering, and evaluation of model and agent quality, with hands-on experience applying them to real software delivery workflows
- Strong understanding of the risks AI introduces into the SDLC, such as sensitive data exposure, prompt injection, insecure or improperly licensed generated code, and over-privileged agents, and how to mitigate them through identity, policy, human oversight, and auditability
- Demonstrated track record of delivering platform capabilities that power consumer-facing software products, especially API- and event-driven systems
- Deep experience adopting and operating within a modern SDLC and engineering practice (AI-enabled development, DevSecOps, CI/CD, GitOps, and platform-as-a-product)
- Thorough understanding of modern information security and data protection practices and how to apply them across technology stacks in regulated environments
- Collaborative, low-ego approach focused on business outcomes, with the ability to motivate and energize others and influence without authority to achieve common goals
- Exceptional communication skills and can navigate and influence at every level of the organization, tailoring the message to any audience to achieve the desired outcome
Preferred qualifications
- Experience in financial services or other regulated industries, including model risk management, responsible AI practices, and emerging AI regulation, and how they shape architecture decisions
- Experience measuring engineering productivity and the impact of AI adoption using frameworks such as DORA metrics, and leading the change management needed to drive adoption at scale
- Experience applying AI to modernize legacy platforms and codebases, such as mainframe or large monolithic applications
- Hands-on experience with multiple model providers, agent frameworks, and the AI services of major cloud providers, including trade-offs in model selection, hosting, and cost
- Undergraduate degree in Engineering, Computer Science, or another technical field
Personal characteristics
- Demonstrates sound judgment and flexibility, thinking comprehensively about issues and developing solutions that account for the broader context and strategy
- Maintains a positive, adaptable approach to rapidly shifting priorities, topics, and environments
- Takes initiative, translating strategy into action and driving delivery with a “roll up the sleeves” approach
- Remains calm and structured under pressure, bringing clarity to high-stakes situations such as major incidents and critical decisions
- Builds strong relationships and negotiates effectively with internal and external stakeholders, grounding decisions in data
- Combines intellectual curiosity and a drive for excellence with a track record of success and a reputation as someone others enjoy working with
- Brings strong attention to detail, a commitment to adopting and implementing best practices, and a bias toward continuous improvement
- Embodies and delivers the firm’s values and culture towards colleagues, clients, and communities:
Win as one team
Lead with integrity
Be the change
Privacy Statement
FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.
EEOC Statement
FIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here supplement document available here
For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis.
Sourcing Model
Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.
#pridepass
See All 12 Platform Engineering Manager Jobs in Florida
Find roles in Florida that match your experience and apply in just a few clicks.
Find JobsPlatform Engineering Manager Jobs by City in Florida
Where Florida roles are concentrated, by current openings.
Platform Engineering Manager Job Market in Florida
A snapshot from current Florida openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
What Florida Employers Look For
The qualifications that appear most often in platform engineering manager jobs across Florida.
- Bachelor's degree in computer science, software engineering, or a closely related technical field
- Five or more years of hands-on platform or infrastructure engineering experience before moving into management
- Demonstrated experience managing engineering teams and owning platform reliability at production scale
- Proficiency with cloud platforms such as AWS, Google Cloud, or Azure in enterprise environments
- Experience designing and operating CI/CD pipelines, container orchestration, and developer toolchains
- Strong communication skills for partnering with product, security, and executive stakeholders across the organization
Platform Engineering Manager Jobs in Florida: Frequently Asked Questions
How do you become a platform engineering manager in Florida?
The typical path is to build several years of hands-on platform or infrastructure engineering experience, then move into a lead or staff engineer role before stepping into management. Florida does not require a state-issued license to work as a platform engineering manager. Most employers in Tampa, Miami, and Orlando look for a bachelor's degree in a technical field alongside a demonstrated record of owning infrastructure platforms and leading engineers through projects.
How much do platform engineering managers make in Florida?
Platform engineering managers in Florida earn a median of about $170,740 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $116,900 for the lowest 10% to over $251,590 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire platform engineering managers in Florida?
Employers hiring platform engineering managers in Florida right now include FIS, Citi, and Modernizing Medicine, based on current listings on Migrate Mate as of November 2026. Florida's concentration of defense contractors, regional banks, and large hospital networks means platform engineering managers are recruited across a wider range of industries here than in most states.
Which Florida cities have the most platform engineering manager jobs?
Jacksonville, Tampa, and Orlando have the most platform engineering manager openings in Florida. Miami's density of fintech and international financial services firms, Tampa's growing cybersecurity and defense technology corridor, and Orlando's mix of simulation, hospitality technology, and healthcare IT employers each generate steady and distinct demand for this role.
Are there remote platform engineering manager jobs in Florida?
Yes, and more than most fields. About 100% of platform engineering manager openings tied to Florida are remote or hybrid as of November 2026, reflecting how central this role is to distributed engineering organizations. The responsibilities most commonly offered fully remote are those focused on cloud governance, developer experience, and toolchain ownership, where day-to-day work does not require on-site infrastructure access.
How can I get hired as a platform engineering manager in Florida with little or no experience?
The most realistic entry path is to move into a platform or site reliability engineer role first, then grow into a team lead position before applying for a manager title. Large Florida employers such as Lockheed Martin, AdventHealth, and Citigroup run rotational and associate engineering programs that place early-career candidates into platform teams. Building a portfolio that demonstrates infrastructure automation, cloud architecture, or developer tooling work gives Florida candidates a clear edge when applying for that first management-track role.
Where can I find and apply to platform engineering manager jobs in Florida?
You can find and apply to platform engineering manager jobs in Florida on Migrate Mate, which lists current Florida openings updated regularly. Find the roles that fit your experience and apply directly to each one.
See All 12 Platform Engineering Manager Jobs in Florida
Find roles in Florida that match your experience and apply in just a few clicks.
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