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Copilot Developer Jobs in Tampa, FL (NOW HIRING)

Experience working with tools such as Visual Studio| TFS| Azure DevOps. Knowledge of continuous integration/continuous development. Experience integrating AI capabilities using GitHub Copilot| Azure ...

Java/Spark Developer

Tampa, FL · On-site

$46.50 - $60/hr

Software Guidance & Assistance, Inc., (SGA), is searching for a Java/Spark Developer for a contract ... Experience with agentic AI tools (Devin, Claude, or Copilot) SGA is a technology and resource ...

Claude Code, Cursor, Copilot, or equivalent - measure and improve PR throughput * Partner with Platform Engineering on infrastructure, data pipelines, and APIs People & Cross-Functional * Manage a ...

... Engineering & Agent Strategy: Develop effective prompt templates and identify opportunities for custom Copilot Agents to address specific business needs. · AI Readiness: Evaluate and prepare the ...

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Copilot Developer information

See Tampa, FL salary details

$16

$49

$77

How much do copilot developer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for copilot developer in Tampa, FL is $49.93, according to ZipRecruiter salary data. Most workers in this role earn between $38.17 and $61.11 per hour, depending on experience, location, and employer.

What is a Copilot Developer?

A Copilot Developer is a software professional who specializes in integrating, customizing, or developing solutions using AI-powered coding assistants, such as GitHub Copilot. Their role often includes enhancing developer workflows by leveraging these AI tools, contributing to codebases, and ensuring that AI-generated code meets quality and security standards. They may also provide feedback to improve Copilot's suggestions and help teams adopt AI-assisted development practices. Copilot Developers often have strong programming skills and a deep understanding of how to effectively collaborate with AI tools.

What are the key skills and qualifications needed to thrive as a Copilot Developer?

To thrive as a Copilot Developer, a strong background in software engineering, proficiency in languages such as Python, JavaScript, or TypeScript, and experience with AI/ML concepts are essential, often supported by a relevant degree. Familiarity with GitHub Copilot, code editors like Visual Studio Code, and cloud platforms such as Azure or AWS is typically required. Strong problem-solving abilities, effective communication, and a collaborative mindset help developers integrate AI tools into workflows and assist end-users. These skills ensure efficient, innovative solutions and maximize the impact of AI-powered code assistance in software development environments.

What are some common challenges Copilot Developers face when integrating AI-powered coding assistants into existing development workflows?

Copilot Developers often encounter challenges such as ensuring seamless integration of AI-assisted coding tools with a variety of development environments and version control systems. They must address concerns around code quality, security, and maintaining team coding standards, as AI-generated suggestions may not always align with best practices. Additionally, developers need to foster collaboration and trust within teams, encouraging effective use of Copilot without diminishing peer code reviews or knowledge sharing. Successful Copilot Developers proactively gather feedback from users and iterate on integration strategies to optimize productivity and code reliability.

What is the difference between Copilot Developer vs AI Software Engineer?

AspectCopilot DeveloperAI Software Engineer
Required CredentialsBachelor's in CS or related, coding skillsBachelor's or higher in CS, AI, or Data Science
Work EnvironmentSoftware development teams, tech companiesResearch labs, tech firms, startups
Industry UsageDeveloping AI-powered coding toolsDesigning and implementing AI models
Search & Comparison IntentFocus on coding automation toolsFocus on AI model development

While both roles involve AI and software development, a Copilot Developer primarily focuses on creating and improving AI coding assistants, whereas an AI Software Engineer designs and implements AI models across various applications. The roles overlap in skills but differ in their core objectives and work environments.

What are popular job titles related to Copilot Developer jobs in Tampa, FL?

For Copilot Developer jobs in Tampa, FL, the most frequently searched job titles are:

What job categories do people searching Copilot Developer jobs in Tampa, FL look for?

The top searched job categories for Copilot Developer jobs in Tampa, FL are:

What cities near Tampa, FL are hiring for Copilot Developer jobs?

Cities near Tampa, FL with the most Copilot Developer job openings:

Infographic showing various Copilot Developer job openings in Tampa, FL as of August 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 85% In-person, 5% Hybrid, and 10% Remote job distribution, with an average salary of $103,862 per year, or $49.9 per hour.

Senior Platform Engineer

Bridgeway Benefit Technologies

Tampa, FL • Remote

$98K - $135K/yr

Full-time

Re-posted 16 days ago


Job description

Bridgeway is seeking a Senior Platform Engineer to architect, design, develop, and maintain the Bridgeway platform that powers software development and deployment. This role focuses on building robust, scalable, and efficient platforms that enable teams to develop, test, and deploy applications seamlessly. As a Platform Engineer, you will combine software engineering, systems architecture, and operations to ensure Bridgeway's cloud infrastructure platform meets the needs of multiple applications and services. You will also help drive an organizational mindset rooted in DevOps, DevSecOps, Site Reliability Engineering (SRE), and modern Cloud Engineering practices. Successful candidates are resourceful, inventive, and forward-thinking—able to solve complex challenges creatively, integrate diverse systems, and progressively shape the future of our platform. At the senior level, we seek engineers who bring both depth and breadth of expertise, leveraging cross-disciplinary mastery to collaborate effectively and drive innovative, holistic solutions.

This is a remote position with preference given to East Coast candidates.   

Responsibilities:

  • Iteratively design and develop scalable, resilient, and efficient platform solutions using cloud services and modern software design frameworks.
  • Create modular, reusable infrastructure using Terraform and related tools.
  • Partner interdepartmentally and cross-functionally to strengthen DevOps practices through automation.
  • Architect, develop, and maintain CI/CD pipelines for platform functions and customer needs at scale.
  • Deliver solutions based on event-driven, object-oriented, and functional design patterns.
  • Own the design and implementation of monitoring and logging solutions to ensure reliability and performance.
  • Support the definition and maintenance of a lifecycle process for platform systems to ensure updates, patches, and security compliance.
  • Apply deep expertise in platform engineering while leveraging cross-disciplinary knowledge to drive effective collaboration across development, operations, and security teams.
  • Resolve cloud infrastructure issues quickly, analyze performance, and implement improvements.
  • Analyze system performance and implement optimizations to improve speed, efficiency, and resource utilization.
  • Anticipate and plan infrastructure scaling to meet the growing needs of the business.
  • Apply a security-first approach, ensuring SOC, SOC2, HIPAA, NIST, and regulatory requirements are met.
  • Implement and manage IAM, firewalls, and SIEM solutions.
  • Integrate diverse and non-traditional systems to deliver practical, forward-thinking outcomes.
  • Navigate challenges creatively and find effective solutions when conventional approaches fall short
  • Lead assigned projects, driving cross-team collaboration, execution delivery, and accountability.
  • Write clean, efficient, and well-documented code while following best practices and established development standards.
  • Take part in the on-call rotation to ensure the reliability and availability of platform services.
  • Leverage generative AI tools such as Claude and Copilot to streamline workflows, enhance productivity, improve solution quality, and accelerate delivery of business outcomes.

Requirements:

  • 5+ years of platform, cloud, or SRE engineering experience
  • Advanced knowledge of cloud platforms such as AWS and Azure
  • Solid understanding of Python, Bash, PowerShell, or other scripting languages
  • Experience in transitioning a legacy environment to modern cloud practices
  • Strong experience with Git and collaborative workflows
  • Intermediate proficiency with Terraform, CloudFormation, or other Infrastructure as Code frameworks
  • Intermediate experience with CI/CD pipeline development and tools
  • Intermediate proficiency with Agile methodologies and the SDLC process
  • Solid understanding of containerization tooling such as Docker, Podman, LXC, and similar
  • Operates well amidst ambiguity
  • Strong analytical and troubleshooting skills
  • Experience using generative AI tools such as Claude and Copilot to improve productivity and deliver high-quality outcomes
  • Bachelors in Computer Science, Information Technology, or related field