ZipRecruiter

Log In

1

Hybrid System Engineer Jobs in Florida (NOW HIRING)

CRU LLC

Windows Server Engineer

Pembroke Pines, FL · On-site

$20 - $35/hr

Responsibilities * System management: Install, configure, and maintain Windows servers (e.g ... Windows Server Hybrid Administrator Associate or VMware Certified Professional are highly valued.

Quvia

Systems Engineer

Miramar, FL · On-site

System Engineering Location: Miramar, FL (On-Site) About Quvia: Quvia is building the digital ... hybrid networks so customers can move and manage data in the world's most network constrained ...

Quvia

Systems Engineer

Miramar, FL · Hybrid

System Engineering Location: Miramar, FL (On-Site) About Quvia: Quvia is building the digital ... hybrid networks so customers can move and manage data in the world's most network constrained ...

Quvia

Systems Engineer

Miramar, FL · On-site

System Engineering Location : Miramar, FL (On-Site) About Quvia: Quvia is building the digital ... hybrid networks so customers can move and manage data in the world's most network constrained ...

SCCU Simple

Systems Engineer II - Linux

Melbourne, FL · On-site

$113.90 - $120.63/hr

Manage system performance, availability, capacity, and operational health through monitoring ... Support Linux workloads hosted on virtualized, cloud, and hybrid infrastructure, including ...

Govcio LLC

Sr. Systems Engineer- Hybrid Remote

Tampa, FL · On-site +1

$95K - $130K/yr

Translates high-level product development strategies into network and system requirement specifications and works with other engineering disciplines to develop lower-level detailed implementation ...

Govcio LLC

Sr. Systems Engineer- Hybrid Remote

Tampa, FL · On-site

$95K - $130K/yr

Translates high-level product development strategies into network and system requirement specifications and works with other engineering disciplines to develop lower-level detailed implementation ...

Govcio LLC

Sr. Systems Engineer- Hybrid Remote

Tampa, FL · On-site

$95K - $130K/yr

Translates high-level product development strategies into network and system requirement specifications and works with other engineering disciplines to develop lower-level detailed implementation ...

AMERICAN SYSTEMS

Systems Engineer, Lead

Orlando, FL · On-site

$96.80 - $161.50/hr

Lead development and maintenance of system requirements, architectures, operational concepts ... THIS HYBRID POSITION REQUIRES 3 DAYS OF WORK IN THE OFFICE AND 2 DAYS REMOTE PER WEEK ...

AMERICAN SYSTEMS

Systems Engineer, Lead

Orlando, FL · On-site +1

$150K - $180K/yr

Lead development and maintenance of system requirements, architectures, operational concepts ... THIS HYBRID POSITION REQUIRES 3 DAYS OF WORK IN THE OFFICE AND 2 DAYS REMOTE PER WEEK ...

previous pagenext page

Showing results 21-40

All JobsHybrid System Engineer JobsHybrid System Engineer Jobs in Florida

Hybrid System Engineer information

What is a hybrid system engineer?

Hybrid System Engineers are professionals who design, develop, and maintain systems that combine multiple types of technologies, such as mechanical, electrical, and software components. They often work with hybrid systems like electric vehicles, renewable energy systems, or industrial automation setups, ensuring that all components work together seamlessly. Their role typically involves system integration, troubleshooting, and optimizing performance to achieve reliability and efficiency. Hybrid System Engineers need a strong understanding of interdisciplinary engineering principles and are often involved in both the conceptual and practical aspects of system development.

What skills and qualifications are needed to be a hybrid system engineer?

To thrive as a Hybrid System Engineer, you need a solid background in systems engineering, control theory, and embedded systems, often supported by a degree in electrical, mechanical, or computer engineering. Experience with simulation tools like MATLAB/Simulink, model-based design, and familiarity with hybrid and cyber-physical systems is typically required. Strong problem-solving skills, effective communication, and the ability to collaborate across multidisciplinary teams set top performers apart. These skills are crucial for designing, optimizing, and integrating complex systems that combine hardware and software, ensuring reliability and innovation in hybrid technology environments.

How does a hybrid system engineer collaborate with software and hardware teams?

Hybrid System Engineers often serve as a bridge between software and hardware teams, ensuring that both components of a system integrate seamlessly. They participate in joint planning sessions, clarify technical requirements, and troubleshoot issues that arise at the intersection of hardware and software. Regular communication and documentation are key, as they must translate system-level goals into actionable tasks for both teams. This collaborative approach not only ensures system performance and reliability but also fosters a culture of innovation in multidisciplinary projects.

What is the difference between Hybrid System Engineer vs Embedded Systems Engineer?

AspectHybrid System EngineerEmbedded Systems Engineer
Required CredentialsBachelor's in Engineering, certifications in systems integrationBachelor's in Electrical, Computer Engineering, or related fields
Work EnvironmentDesigning and integrating hybrid systems in automotive, aerospace, or industrial sectorsDeveloping embedded software/hardware for devices like IoT, medical devices, or consumer electronics
Employer & Industry UsageTech companies, automotive, aerospace, industrial firms

The Hybrid System Engineer focuses on designing and integrating systems that combine multiple technologies, such as electrical and mechanical components, often in automotive or industrial contexts. In contrast, Embedded Systems Engineers develop specialized software and hardware for dedicated devices. While both roles require engineering backgrounds and technical certifications, their work environments and industry applications differ significantly.

What are popular job titles related to Hybrid System Engineer jobs in Florida?

For Hybrid System Engineer jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Hybrid System Engineer jobs in Florida look for?

The top searched job categories for Hybrid System Engineer jobs in Florida are:

What cities in Florida are hiring for Hybrid System Engineer jobs?

Cities in Florida with the most Hybrid System Engineer job openings:

Hybrid System Engineer jobs near you

Delivery Senior Consultant, Software Engineering Solutions, Identity & Gen AI Engineer

Deloitte

Lake Mary, FL • On-site

$107K - $141K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

47th of 154 rated financial services

Job description

As organizations adopt generative AI, securing how AI agents, models, and automated workflows access enterprise systems and data has become a core engineering challenge. As an Identity & Gen AI Engineer, you will build generative AI solutions with identity, access, and trust engineered in from the start, securing both human and non-human identities and governing how AI agents and GenAI platforms reach data and downstream systems. This role focuses on hands-on engineering, integration, and continuous enhancement of AI solutions in which identity and access controls are a first-class concern.

Work you'll do

As an Identity & Gen AI Engineer on the Identity and Access Management team, you will be responsible for...

Build and integrate generative AI solutions, including LLM applications, retrieval-augmented generation, and AI agents, with secure access to data and downstream systems.

Engineer authentication, authorization, and identity controls for AI agents, service accounts, and other non-human identities operating across enterprise and cloud environments.

Develop guardrails for agentic workflows, including scoped permissions, least-privilege access, credential and secrets management, and runtime policy enforcement.

Implement logging, monitoring, and governance that provide traceability and accountability for AI system actions.

Collaborate with IAM, security architecture, and data teams to embed identity controls into GenAI solution delivery and operations.

Create and maintain reference architectures, reusable patterns, and technical documentation for building and securing AI systems.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Our Deloitte Cyber team understands the unique challenges and opportunities businesses face in cybersecurity. Join our team to deliver powerful solutions to help our clients navigate the ever-changing threat landscape. Through powerful solutions and managed services that simplify complexity, we enable our clients to operate with resilience, grow with confidence, and proactively manage to secure success.

Our Digital Trust & Privacy offering enables trust and safety of online communications and digital products, protecting users, consumers, and patients from harm. Enables clients to provide consumer confidence in knowing with whom they are dealing and ensuring the integrity of access to data.

This opportunity sits within our Deloitte US Delivery Center model, which is dedicated to driving impactful business services. It leverages Deloitte's scale and talent, as well as a center delivery model to provide high-quality, cost-effective service with standardized processes and procedures to service businesses across Deloitte.

The Deloitte US Delivery Center has a small-business feel with a big-business impact. With the resources of Deloitte and a community feel, the delivery center model provides high-quality services to our clients. USDC professionals work out of one of our specific delivery center locations, and each location presents dynamic career opportunities for professionals to focus on their work with nominal travel requirements.

Qualifications

Required:

  • Bachelor's degree in Cybersecurity, Computer Science, Information Systems, Engineering, or a similar technical field
  • Ability to work onsite up to 5 days a week.
  • 3+ years of software engineering experience with Python or a comparable language
  • 1+ year of hands-on experience building, integrating, or deploying generative AI solutions such as large language model (LLM) applications, retrieval-augmented generation (RAG), or AI agents, including use of model APIs, orchestration frameworks, and AI development tools such as Claude Code, OpenAI Codex, GitHub Copilot, or Cursor
  • Working knowledge of identity and access management concepts and protocols, including authentication, authorization, single sign-on (SSO), and standards such as OpenID Connect (OIDC), Security Assertion Markup Language (SAML), OAuth, and JSON Web Token (JWT)
  • Ability to travel 15%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Ability to obtain and maintain the necessary security clearance. 
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
  • Delivery Center Location & Travel Requirements:
    • Hybrid Work Model: Operate under a hybrid system requiring residence within a commutable distance to one of the US Delivery Center locations (Gilbert, Lake Mary, or Mechanicsburg) or Geo-Hub locations (Atlanta, Charlotte, Dallas, Houston, and Philadelphia)
    • Co-location Expectation: Spend up to 30% of working time co-located at an assigned office for orchestrated opportunities, including projects, practice sessions, training, and Moments That Matter at a Deloitte Delivery Center location, Geo-Hub location, approved site, or project location
    • Travel Requirement: Maximum of 10% overnight travel for client or project purposes
    • Relocation Requirement: If relocation is necessary, complete the move within 12 weeks from the start date to reside within a commutable distance

Preferred:

  • Experience deploying generative AI solutions to production environments
  • Hands-on experience with identity and access management platforms such as SailPoint, Okta, or Microsoft Entra ID
  • Experience securing non-human or machine identities, service accounts, secrets, and credentials using tools such as HashiCorp Vault or CyberArk
  • Experience with AI agent frameworks and protocols such as LangChain, LangGraph, or Model Context Protocol (MCP)
  • Experience with fine-grained authorization or policy-as-code using tools such as Open Policy Agent (OPA), Cedar, or OpenFGA
  • Familiarity with AI and LLM security risks such as the OWASP Top 10 for LLM Applications, prompt injection, and excessive agency
  • Experience applying AI governance and risk frameworks such as the NIST AI Risk Management Framework (AI RMF)
  • 2+ years of experience building or deploying workloads in cloud environments such as Amazon Web Services (AWS) and Microsoft Azure
  • Certified Information Systems Security Professional (CISSP), Certified Cloud Security Professional (CCSP), or a cloud engineering certification such as AWS Certified Solutions Architect or Microsoft Certified: Azure Solutions Architect
  • 1+ year of experience supporting federal government environments
  • 1+ year of experience with infrastructure-as-code or automation technologies such as Terraform or Ansible
Qualifications:

As organizations adopt generative AI, securing how AI agents, models, and automated workflows access enterprise systems and data has become a core engineering challenge. As an Identity & Gen AI Engineer, you will build generative AI solutions with identity, access, and trust engineered in from the start, securing both human and non-human identities and governing how AI agents and GenAI platforms reach data and downstream systems. This role focuses on hands-on engineering, integration, and continuous enhancement of AI solutions in which identity and access controls are a first-class concern.

Work you'll do

As an Identity & Gen AI Engineer on the Identity and Access Management team, you will be responsible for...

Build and integrate generative AI solutions, including LLM applications, retrieval-augmented generation, and AI agents, with secure access to data and downstream systems.

Engineer authentication, authorization, and identity controls for AI agents, service accounts, and other non-human identities operating across enterprise and cloud environments.

Develop guardrails for agentic workflows, including scoped permissions, least-privilege access, credential and secrets management, and runtime policy enforcement.

Implement logging, monitoring, and governance that provide traceability and accountability for AI system actions.

Collaborate with IAM, security architecture, and data teams to embed identity controls into GenAI solution delivery and operations.

Create and maintain reference architectures, reusable patterns, and technical documentation for building and securing AI systems.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Our Deloitte Cyber team understands the unique challenges and opportunities businesses face in cybersecurity. Join our team to deliver powerful solutions to help our clients navigate the ever-changing threat landscape. Through powerful solutions and managed services that simplify complexity, we enable our clients to operate with resilience, grow with confidence, and proactively manage to secure success.

Our Digital Trust & Privacy offering enables trust and safety of online communications and digital products, protecting users, consumers, and patients from harm. Enables clients to provide consumer confidence in knowing with whom they are dealing and ensuring the integrity of access to data.

This opportunity sits within our Deloitte US Delivery Center model, which is dedicated to driving impactful business services. It leverages Deloitte's scale and talent, as well as a center delivery model to provide high-quality, cost-effective service with standardized processes and procedures to service businesses across Deloitte.

The Deloitte US Delivery Center has a small-business feel with a big-business impact. With the resources of Deloitte and a community feel, the delivery center model provides high-quality services to our clients. USDC professionals work out of one of our specific delivery center locations, and each location presents dynamic career opportunities for professionals to focus on their work with nominal travel requirements.

Qualifications

Required:

  • Bachelor's degree in Cybersecurity, Computer Science, Information Systems, Engineering, or a similar technical field
  • Ability to work onsite up to 5 days a week.
  • 3+ years of software engineering experience with Python or a comparable language
  • 1+ year of hands-on experience building, integrating, or deploying generative AI solutions such as large language model (LLM) applications, retrieval-augmented generation (RAG), or AI agents, including use of model APIs, orchestration frameworks, and AI development tools such as Claude Code, OpenAI Codex, GitHub Copilot, or Cursor
  • Working knowledge of identity and access management concepts and protocols, including authentication, authorization, single sign-on (SSO), and standards such as OpenID Connect (OIDC), Security Assertion Markup Language (SAML), OAuth, and JSON Web Token (JWT)
  • Ability to travel 15%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Ability to obtain and maintain the necessary security clearance. 
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
  • Delivery Center Location & Travel Requirements:
    • Hybrid Work Model: Operate under a hybrid system requiring residence within a commutable distance to one of the US Delivery Center locations (Gilbert, Lake Mary, or Mechanicsburg) or Geo-Hub locations (Atlanta, Charlotte, Dallas, Houston, and Philadelphia)
    • Co-location Expectation: Spend up to 30% of working time co-located at an assigned office for orchestrated opportunities, including projects, practice sessions, training, and Moments That Matter at a Deloitte Delivery Center location, Geo-Hub location, approved site, or project location
    • Travel Requirement: Maximum of 10% overnight travel for client or project purposes
    • Relocation Requirement: If relocation is necessary, complete the move within 12 weeks from the start date to reside within a commutable distance

Preferred:

  • Experience deploying generative AI solutions to production environments
  • Hands-on experience with identity and access management platforms such as SailPoint, Okta, or Microsoft Entra ID
  • Experience securing non-human or machine identities, service accounts, secrets, and credentials using tools such as HashiCorp Vault or CyberArk
  • Experience with AI agent frameworks and protocols such as LangChain, LangGraph, or Model Context Protocol (MCP)
  • Experience with fine-grained authorization or policy-as-code using tools such as Open Policy Agent (OPA), Cedar, or OpenFGA
  • Familiarity with AI and LLM security risks such as the OWASP Top 10 for LLM Applications, prompt injection, and excessive agency
  • Experience applying AI governance and risk frameworks such as the NIST AI Risk Management Framework (AI RMF)
  • 2+ years of experience building or deploying workloads in cloud environments such as Amazon Web Services (AWS) and Microsoft Azure
  • Certified Information Systems Security Professional (CISSP), Certified Cloud Security Professional (CCSP), or a cloud engineering certification such as AWS Certified Solutions Architect or Microsoft Certified: Azure Solutions Architect
  • 1+ year of experience supporting federal government environments
  • 1+ year of experience with infrastructure-as-code or automation technologies such as Terraform or Ansible
Education:Bachelor's DegreeEmployment Type:

What Deloitte employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply