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Remote Platform Engineer Jobs in Florida (NOW HIRING)

Top Engineer

Environmental Engineer

Jupiter, FL · Remote

$150K - $300K/yr

This fully remote position offers a competitive salary range of $150,000 to $300,000 annually. You ... GIS platforms for data analysis and planning. * • Prepare detailed engineering drawings and ...

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Codelitt

Devops Automation Engineer

Miami, FL · On-site +1

$50.50 - $69/hr

This is a remote position where you can work from Anywhere in LATAM. About the Role! We're looking for a Senior Build Automation Engineer to join our team on a cloud platform delivery engagement with ...

NewGen Technologies

This role is an early opportunity, expecting to allow remote work up to 100%. Serve as a resident ... The consultant will collaborate closely with customer data engineering teams, integrate Generative ...

Waypoint Human Capital

Principal Engineer

Tampa, FL · On-site +1

Principal Engineer Position Type: Full-time, Remote Location: Tampa, FL (Preferred) Clearance: (At ... Central Command (CENTCOM) initiatives focused on cybersecurity, platform engineering, automation ...

Waypoint Human Capital

Principal Engineer

Tampa, FL · On-site +1

Principal Engineer Position Type: Full-time, Remote Location: Tampa, FL (Preferred) Clearance: (At ... Central Command (CENTCOM) initiatives focused on cybersecurity, platform engineering, automation ...

MLabs

Senior Backend Engineer

Miami, FL · Remote

$90K - $150K/yr

... Remote | Full-time Compensation: $90K - $150K We are hiring on behalf of our client in the high-growth Web3 and DeFi sector who is seeking a Senior Backend Engineer to join its core Platform team.

VetsEZ

Salesforce Developer (Remote Opportuntity)

Tampa, FL · Remote

$52.50 - $69.50/hr

VetsEZ is currently looking for a Salesforce Developer for a 100% remote position supporting a ... Salesforce certifications such as Salesforce Certified Administrator, Platform App Builder, or ...

VetsEZ

Salesforce Developer (Remote Opportuntity)

Tampa, FL · On-site +1

$52.50 - $69.50/hr

VetsEZ is currently looking for a Salesforce Developer for a 100% remote position supporting a ... Salesforce certifications such as Salesforce Certified Administrator, Platform App Builder, or ...

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All JobsRemote Platform Engineer JobsRemote Platform Engineer Jobs in Florida

Remote Platform Engineer information

What are the key skills and qualifications needed to thrive as a Remote Platform Engineer, and why are they important?

To thrive as a Remote Platform Engineer, you need strong expertise in software development, cloud infrastructure, automation, and a relevant degree or equivalent experience. Familiarity with tools such as AWS, Docker, Kubernetes, CI/CD pipelines, and infrastructure-as-code platforms like Terraform is typically required. Excellent problem-solving, self-motivation, and collaboration skills set standout candidates apart, especially in distributed teams. These skills ensure the reliability, scalability, and efficiency of platforms while enabling smooth teamwork in a remote work environment.

What is a Remote Platform Engineer?

A Remote Platform Engineer is a technology professional who designs, builds, and maintains the foundational systems (platforms) that support software applications, all while working from a remote location. Their responsibilities often include developing cloud infrastructure, automating deployment processes, and ensuring system reliability and scalability. They collaborate with other engineers and teams via digital tools, leveraging their expertise in areas like DevOps, cloud computing, and system architecture. This role requires strong technical skills, problem-solving abilities, and effective communication for remote teamwork.

How does a Remote Platform Engineer typically collaborate with cross-functional teams?

As a Remote Platform Engineer, you’ll frequently work with developers, DevOps, security, and product teams to ensure the platform’s stability, scalability, and security. Collaboration is often managed through daily stand-ups, code reviews, and project management tools like Jira or Trello. Clear communication and documentation are crucial, as most interactions happen via video calls, chat, and version control platforms. Successful remote platform engineers proactively seek feedback, clarify requirements, and keep stakeholders updated on progress.

What is the difference between Remote Platform Engineer vs Remote DevOps Engineer?

AspectRemote Platform EngineerRemote DevOps Engineer
CredentialsBachelor's in CS or related, certifications like AWS, AzureBachelor's in CS or related, certifications like AWS, Azure, Docker
Work EnvironmentDeveloping and maintaining platform infrastructure, cloud servicesAutomating deployment, CI/CD pipelines, infrastructure management
Industry UsageTech, SaaS, cloud providersTech, software development, cloud services

Both roles often require similar technical skills and certifications, focusing on cloud and infrastructure. The Remote Platform Engineer primarily builds and maintains platform infrastructure, while the Remote DevOps Engineer emphasizes automation, deployment pipelines, and continuous integration. They often collaborate but serve distinct functions within tech organizations.

What are the most commonly searched types of Platform Engineer jobs in Florida? The most popular types of Platform Engineer jobs in Florida are:
What are popular job titles related to Remote Platform Engineer jobs in Florida? For Remote Platform Engineer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Remote Platform Engineer jobs in Florida look for? The top searched job categories for Remote Platform Engineer jobs in Florida are:
What cities in Florida are hiring for Remote Platform Engineer jobs? Cities in Florida with the most Remote Platform Engineer job openings:
Remote Platform Engineer jobs near you
Infographic showing various Remote Platform Engineer job openings in Florida as of June 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution.
Senior Software Engineer, AI Platform

Senior Software Engineer, AI Platform

Fortress Information Security

Orlando, FL • On-site, Remote

$140K - $223K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

Job description

Senior Software Engineer - AI Platform
Location: Remote
Salary Range: $140,541- $223,212, per year, depending on experience and qualifications.
Employment Type: Full-time

What you can expect as a Senior Software Engineer - AI Platform at Fortress:
Fortress Information Security is seeking a Senior Software Engineer, AI Platform to help build the foundational AI platform powering intelligent workflows across Fortress products and services. This role focuses on designing and operating the orchestration, retrieval, execution, and platform infrastructure required to support scalable, secure, and reliable AI systems in highly regulated environments.
The ideal candidate brings strong distributed systems and backend engineering experience combined with hands-on experience building production-grade AI infrastructure, orchestration systems, or retrieval platforms. This individual will work across platform, infrastructure, and application layers to help establish the technical foundation for Fortress’s AI strategy.
This role is well-suited for engineers who enjoy solving complex systems problems involving long-running stateful workflows, multi-store retrieval architectures, event-driven systems, observability, and secure multi-tenant infrastructure. Please note: This role is built for a true, current senior engineer. Someone who hits the ground running, drives decisions independently, and raises the bar for the team from day one.


Responsibilities Include:
  • Design, build, and operate orchestration frameworks supporting long-running, stateful AI workflows and agent execution systems
  • Develop distributed retrieval architectures spanning vector, graph, search, and relational data platforms
  • Build shared platform services, reusable runtime components, and tool registries supporting AI capabilities across Fortress products
  • Implement resilient event-driven and change-data-capture (CDC) pipelines with strong consistency, retry, and fault-tolerance guarantees
  • Develop typed APIs and integration contracts supporting AI workflows and platform interoperability
  • Improve scalability, performance, reliability, and operational efficiency across orchestration and retrieval infrastructure
  • Support secure multi-tenant deployments across cloud, hybrid-cloud, and air-gapped environments
  • Build and maintain observability, telemetry, tracing, centralized logging, governance, and policy enforcement tooling
  • Contribute to engineering standards and architectural patterns for orchestration, retrieval, and platform infrastructure
  • Collaborate cross-functionally with platform engineering, product engineering, security, and AI teams to support platform adoption and operational excellence
  • Participate in troubleshooting, incident response, root cause analysis, and operational support activities related to platform infrastructure
  • Continuously evaluate emerging technologies, tooling, and engineering practices relevant to AI infrastructure and distributed systems
Minimum Qualifications:
  • 6+ years of experience in backend, platform, or infrastructure engineering building production distributed systems
  • Strong Python development experience including asynchronous systems, API design, and typed architectures
  • Experience designing and operating scalable distributed or service-oriented systems in production environments
  • Hands-on experience building or operating AI infrastructure, orchestration systems, retrieval platforms, or modern RAG architectures in production
  • Strong understanding of distributed systems concepts including queues, event streams, retries, consistency models, concurrency, and fault tolerance
  • Active daily use and fluency with AI-assisted engineering workflows and agentic development tooling such as Claude Code, Cursor, or similar platforms, including effective use of LLMs throughout software design, implementation, debugging, and operational workflows.
  • Strong written and verbal communication skills with the ability to collaborate effectively across technical teams
  • Ability to operate independently in fast-moving, highly technical environments with evolving priorities
Preferred Qualifications:
  • Experience with orchestration and workflow frameworks such as LangGraph, Temporal, Celery, or similar technologies
  • Experience with vector databases, graph databases, search platforms, and modern retrieval architectures involving embeddings, hybrid search, reranking, or knowledge graph traversal
  • Experience with event-driven architectures, CDC pipelines, or streaming platforms such as Kafka, Pulsar, or pg-boss
  • Experience with observability and telemetry tooling such as OpenTelemetry, Prometheus, Grafana, or centralized logging platforms
  • Experience deploying and operating systems within regulated, high-security, hybrid-cloud, or air-gapped environments
  • Familiarity with secure software supply chain practices, signed artifact distribution, and multi-tenant platform isolation strategies
  • Contributions to internal developer platforms, reusable infrastructure tooling, or shared engineering frameworks
  • Experience mentoring engineers and contributing to engineering standards and architectural best practices
Education:
  • Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related technical field preferred. Equivalent combinations of professional experience, technical training, certifications, or demonstrated expertise will also be considered.

Who thrives in this Role:

This team moves fast, operates with high autonomy, and builds things that don't exist yet. Engineers who do well here are genuinely deep in AI infrastructure, treat AI-assisted development as a core skill they're actively improving, and prefer building over debating. They own their outcomes without being pushed and find constrained, regulated environments interesting rather than frustrating.

If you've been building in this space on your own time and want to work somewhere that takes it seriously, this role is for you.

This role is not for you if...
  • You're drawn to AI but haven't actually built anything in the space.
  • You treat AI development tools as a novelty rather than a daily practice.
  • You do your best work with clear roadmaps, stable requirements, and plenty of process.
  • You want to architect and delegate rather than write the code yourself.
  • You need direction to get moving.
Employee Benefits:
  • Remote and Hybrid working environment
  • Competitive pay structure
  • Medical, dental, vision plans with employees covered up to 90% with highly progressive options for dependents and families
  • Company paid life, short- and long-term disability insurance
  • Employee Assistance Program
  • 401(k) match
  • Flexible Paid Time Off
  • Parental Leave
  • Access to thousands of Learning amp; Development courses that range from mental health and wellbeing, stress, and time management to an array of technical and business-related courses
Employment Perks:
  • We provide each employee with professional growth opportunities through succession planning, up-skilling, and certifications
  • Tuition and certification reimbursement
  • Employee Referral Programs
  • Company Sponsored Events
​Fortress is proud to be an Equal Opportunity Employer. All employees and applicants will receive consideration for employment without regard to age, color, disability, gender, national origin, race, religion, sexual orientation, gender identity, protected veteran status, or any other classification protected by federal, state, or local law. Fortress Information Security takes part in the E-Verify process for all new hires.

For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will have 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.

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