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Mid Level Cloud Operations Engineer Jobs in Florida

Mid Level AI Engineer Location: Orlando, FL, USA (Hybrid) | Practice Area: Technology & Engineering ... Build scalable REST APIs, backend services, and cloud-native architectures to support AI-powered ...

DevOps Engineer

Doral, FL · On-site

$50.50 - $69/hr

... Level Staff Education Bachelor's Degree Travel Security Clearance Required None Prescient Edge is ... Coordinate with the WO-009 infrastructure team to provide estimated cloud resource usage profiles ...

DevOps Engineer

Tampa, FL · Remote

$49.75 - $68.25/hr

Establish best practices and mentor other engineers in enterprise-level DevOps solutions * Environment: Kubernetes, Docker, Google Cloud Platform (GCP), GitLab, Azure DevOps, Jira, Terraform, Auth0 ...

DevOps Engineer

Tampa, FL · Remote

$49.75 - $68.25/hr

Establish best practices and mentor other engineers in enterprise-level DevOps solutions * Environment: Kubernetes, Docker, Google Cloud Platform (GCP), GitLab, Azure DevOps, Jira, Terraform, Auth0 ...

You'll incorporate open-source tools, automation, and cloud resources to cut down on tedious tasks ... Ability toobtain a DoD 8570 IAT Level II or IAT Level IIICertificationwithin 30 days of hiredate ...

You'll incorporate open-source tools, automation, and cloud resources to cut down on tedious tasks ... Ability toobtain a DoD 8570 IAT Level II or IAT Level IIICertificationwithin 30 days of hiredate ...

DevOps Engineer

Tampa, FL · On-site

$49.75 - $68.25/hr

... s Engineer supports mission-critical objectives under the referenced work order by designing ... Automating cloud infrastructure. * Implementing secure, high-availability CI/CD pipelines.

Devops Engineer

Orlando, FL · On-site

$75 - $85/hr

... level coding skills with strong attention to time and space complexity Advanced proficiency in Python for backend or infrastructure development Skills Devops, Cloud, Python, Aws, docker, snowflake ...

Showing results 41-60

Mid Level Cloud Operations Engineer information

What is the difference between Mid Level Cloud Operations Engineer vs Cloud Support Engineer?

AspectMid Level Cloud Operations EngineerCloud Support Engineer
Required CredentialsCertifications like AWS Certified Solutions Architect, Azure AdministratorSimilar certifications, often including vendor-specific ones
Work EnvironmentHands-on management of cloud infrastructure, deployment, monitoringCustomer support, troubleshooting, issue resolution
Employer & Industry UsageTech companies, cloud service providers, enterprisesCloud service providers, IT support firms, SaaS companies

The Mid Level Cloud Operations Engineer focuses on managing and maintaining cloud infrastructure, while the Cloud Support Engineer primarily handles troubleshooting and customer support. Both roles require similar certifications and are common in cloud-centric industries, but their daily responsibilities differ significantly.

What are the most commonly searched types of Cloud Operations Engineer jobs in Florida?

The most popular types of Cloud Operations Engineer jobs in Florida are:

What are popular job titles related to Mid Level Cloud Operations Engineer jobs in Florida?

For Mid Level Cloud Operations Engineer jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Mid Level Cloud Operations Engineer jobs in Florida look for?

The top searched job categories for Mid Level Cloud Operations Engineer jobs in Florida are:

Infographic showing various Mid Level Cloud Operations Engineer job openings in Florida as of August 2026, with employment types broken down into 74% Full Time, and 26% Contract. Highlights an 74% In-person, and 26% Remote job distribution.

Mid Level AI Engineer

Capco

Orlando, FL • Hybrid

Full-time

Medical, Dental, Vision, Retirement

Re-posted 29 days ago


Job description

Mid Level AI Engineer

Location: Orlando, FL, USA (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent

Build the next generation of AI-powered solutions using Large Language Models, agentic systems, and cutting-edge Generative AI technologies.

The Role

Capco is seeking a Generative AI Engineer to help design, develop, and deploy intelligent applications powered by Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agent-based architectures. You will work alongside software engineers, product managers, and AI specialists to deliver scalable, production-grade AI solutions that solve complex business challenges and create exceptional user experiences.

This is an exciting opportunity to join a fast-growing AI capability, working on innovative solutions that transform how organizations leverage Generative AI technologies.

What You'll Do
  • Design, build, and deploy AI-powered applications using Large Language Models, foundation models, and modern Generative AI frameworks.
  • Develop and optimize Retrieval-Augmented Generation (RAG) solutions leveraging vector databases and enterprise knowledge sources.
  • Create intelligent AI agents and workflows capable of interacting with APIs, external tools, and business systems.
  • Build scalable REST APIs, backend services, and cloud-native architectures to support AI-powered products.
  • Collaborate with cross-functional teams to translate business requirements into robust, production-ready AI solutions.
What We're Looking For
  • 2-3 years of professional software; AI engineering experience.
  • Hands-on experience building applications using Generative AI technologies, Large Language Models, and leading LLM providers such as OpenAI, Anthropic, Gemini, Azure OpenAI, or open-source models.
  • Strong Python development skills with experience building REST APIs, microservices, and scalable backend applications.
  • Practical experience implementing RAG architectures using vector databases such as Pinecone, Weaviate, Chroma, Qdrant, or FAISS.
  • Understanding of software engineering best practices including Git, CI/CD, testing, code reviews, and cloud platforms such as AWS, Azure, or Google Cloud.
Bonus Points For
  • Experience building multi-agent AI systems using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar technologies.
  • Familiarity with Model Context Protocol (MCP) and emerging agent interoperability standards.
  • Experience with LLM observability and evaluation platforms such as LangSmith, Langfuse, Arize, or similar tools.
  • Experience deploying containerized applications using Docker and Kubernetes.
  • Exposure to frontend technologies such as React, TypeScript, modern web frameworks, or contributions to open-source AI projects.
Why Join Capco
  • Deliver high-impact technology solutions for Tier 1 financial institutions.
  • Work in a collaborative, flat, and entrepreneurial consulting culture.
  • Access continuous learning, training, and industry certifications.
  • Be part of a team shaping the future of digital financial services.
  • Help shape the future of digital transformation across FS & Energy.
Benefits
  • Medical, Dental, and Vision coverage.
  • 401(k) with company match.
  • Maternity and paternity leave, plus dependent care support.
  • Tuition reimbursement, wellness reimbursement, HSA and FSA options.
  • Commuter benefits and access to the Working Advantage employee discount marketplace.
Inclusion at Capco

We're committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know - we'll be happy to help. We value each person's unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration - a mindset that shapes how we work with clients and each other every day.

Use of Artificial Intelligence in Talent Acquisition

At Capco, we use artificial intelligence (AI) tools to support and enhance several parts of talent acquisition. This includes using AI-enabled features within LinkedIn to help source potential candidates, speeding up routine recruitment communications such as emails and creating compelling and brand-aligned job postings that accurately reflect role requirements, and AI-scheduling applications to improve the efficiency of interview coordination.

AI is used as a support tool only. All hiring decisions are made by talent acquisition and hiring teams.

We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter.

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Capco logo

About Capco

Sourced by ZipRecruiter

Industry

Guided missile and space vehicle manufacturing

Company size

201 - 500 Employees

Headquarters location

Grand Junction, CO, US

Year founded

1958