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Gcp Devops Jobs in Florida (NOW HIRING)

No Limit Technology

Senior DevOps Engineer

Tampa, FL

$75 - $80/hr

... Azure \/GCP Must have (at least 1 cloud platform) 3\-5 Intermediate Hashicorp Vault or Similar ... Azure DevOps: 1. Candidates must have experience creating new ADO pipelines. 2. Candidates must ...

Alpha Consulting Corp.

Cloud Devops Architect

Palm Beach, FL · On-site

$62.75 - $80/hr

Alpha Consulting Corp. is seeking a Cloud Devops Architect to lead the design and implementation of ... Responsibilities : • Define and implement cloud-agnostic architecture patterns across AWS and GCP ...

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How much do gcp devops jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for gcp devops in Florida is $45.24, according to ZipRecruiter salary data. Most workers in this role earn between $37.88 and $51.92 per hour, depending on experience, location, and employer.

What is a GCP DevOps?

A GCP DevOps job involves managing infrastructure, automating deployments, and optimizing cloud resources on Google Cloud Platform (GCP). Professionals in this role use tools like Terraform, Kubernetes, and CI/CD pipelines to streamline software development and deployment. They ensure system reliability, scalability, and security while collaborating with developers and IT teams.

What are the key skills and qualifications needed to thrive in the GCP DevOps position, and why are they important?

To excel as a GCP DevOps engineer, a solid understanding of cloud computing concepts, automation tools, CI/CD pipelines, and infrastructure-as-code is essential, often backed by a degree in computer science or related certifications like Google Cloud Professional DevOps Engineer. Familiarity with tools such as Terraform, Kubernetes, Jenkins, Docker, and Google Cloud services is typically required. Strong problem-solving skills, effective communication, and the ability to collaborate across teams are valuable soft skills in this field. These abilities are crucial for ensuring reliable cloud-based operations, streamlining deployment processes, and fostering cohesive team environments in dynamic tech organizations.

What are some common challenges faced by GCP DevOps engineers in their daily work?

GCP DevOps engineers often encounter challenges such as managing complex, multi-environment deployments, ensuring robust security practices while automating workflows, and troubleshooting issues in distributed cloud systems. Keeping up with evolving Google Cloud Platform features and integrating them smoothly into existing infrastructure can also require continuous learning and adaptability. Additionally, balancing project deadlines with the need to maintain stable, scalable systems can test time management skills. However, these challenges provide valuable learning opportunities and contribute to rapid professional growth in the cloud DevOps space.

What are popular job titles related to Gcp Devops jobs in Florida?

For Gcp Devops jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Gcp Devops jobs in Florida look for?

The top searched job categories for Gcp Devops jobs in Florida are:

Gcp Devops jobs near you
Infographic showing various Gcp Devops job openings in Florida as of August 2026, with employment types broken down into 70% Full Time, 6% Temporary, and 24% Contract. Highlights an 88% In-person, 6% Hybrid, and 6% Remote job distribution, with an average salary of $94,090 per year, or $45.2 per hour.

Forward Deployed Software Engineer - Equities Technology

Millennium Management LLC

Miami, FL • On-site

Full-time

Re-posted 4 days ago

Millennium Management rating

7.7

Company rating: 7.7 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

Job description

Forward Deployed Software Engineer - Equities Technology
About Millennium
Millennium is a global, diversified alternative investment firm, founded in 1989. Defined by evolution, innovation and focus, Millennium's mission is to deliver results for our investors.
Our people are empowered with both independence and support: the autonomy to pursue ideas with conviction and the backing of a global network committed to collaboration, disciplined risk management and continuous learning. With opportunities to deepen expertise and accelerate development, talent at Millennium is equipped to adapt, evolve and build lasting impact over time. Discover how transformative growth accelerates impact.
Meet the Team
The Equities Embedded Portfolio Management Solutions Team sits within Millennium's Information Technology organization, which is core to the health and growth of the business. The firm's active, multi-manager model demands flexible, scalable technology and advanced proprietary systems, including the development of next-generation analytical and trading capabilities.
The team is a specialized engineering group at the intersection of technology and quantitative finance. Its mission is to accelerate the research and trading strategies of Millennium's systematic Portfolio Management teams by serving as an internal center of excellence for expert-level solutions, architecture, and hands-on development in AI, cloud platforms including AWS and GCP, DevOps, and high-performance computing. The team's engagement model ranges from expert advisory and solutions architecture to fully embedded, project-based implementations that build bespoke solutions directly for Portfolio Management teams. The team also builds and maintains managed services, libraries, and reusable patterns that form the foundation of modern quantitative research at the firm.
What You'll Do
  • Take on a role that is not a typical software development position; blend solutions architecture, software engineering, and client engagement as a hands-on, business-facing engineer, partnering directly with systematic Portfolio Management teams, quantitative researchers, developers, and portfolio managers as a trusted technical advisor.
  • Understand unique business and research needs and translate complex, sometimes ambiguous requirements into robust, scalable, and secure technical architectures across on-premises, hybrid, and cloud environments.
  • Design, build, and deliver high-quality, production-ready solutions across the full stack, including Python libraries, infrastructure as code with Terraform, CI/CD pipelines, automation scripts, and ML/AI proof-of-concepts.
  • Develop and maintain managed products, reusable libraries, engineering patterns, and best practice guides that expand self-service capabilities and accelerate onboarding for new and existing teams.
  • Own embedded engagements from discovery and planning through implementation, knowledge transfer, and support, acting as the primary technical point of contact while removing blockers and navigating the firm's ecosystem on behalf of business partners.
  • Prepare and deliver compelling presentations, architectural diagrams, and software demos for technical and non-technical audiences, articulating complex technical concepts in clear, business-centric terms to build consensus and drive decisions.
  • Stay at the forefront of AI, MLOps, and cloud and hybrid technologies, building solutions for advanced use cases including distributed GPU training, large-scale data processing, and the integration of generative AI into research workflows.
  • Participate in the team's on-call rotation, providing expert-level support for managed products and core platforms including cloud, DevOps, and grid environments, while turning support challenges into engineering opportunities through intelligent automation and AI agents that reduce manual work and improve operational efficiency.

What You Bring
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 4+ years of professional software development experience, with a strong foundation in computer science principles including data structures, algorithms, and system design.
  • High proficiency in an object-oriented programming language, with a strong preference for Python.
  • Demonstrated experience in a customer-facing or business-facing role, with high emotional intelligence, a customer-first mindset, humility to meet business partners where they are, satisfaction in enabling the success of others, and willingness to go the extra mile to deliver an exceptional client experience.
  • Hands-on experience with at least one major cloud provider, including AWS or GCP, and familiarity with infrastructure as code concepts and tools such as Terraform, CloudFormation, or AWS CDK.
  • Experience designing systems and architectures from ambiguous business needs, with the ownership, autonomy, resilience, and composure to break down complex problems, navigate demanding stakeholders, and deliver tangible business value in high-pressure, high-stakes environments.
  • Proficiency with scheduling or asynchronous workflow frameworks and services such as AWS Step Functions, Airflow, Dagster, or Temporal, as well as DevOps tooling including AWS CodePipeline, GitHub Actions, or GCP Cloud Build, CI/CD practices, and containerization with Docker and Kubernetes.
  • Excellent verbal and written communication skills, the ability to build strong relationships and articulate complex ideas to diverse audiences, a pragmatic and adaptable approach that balances technical quality with business necessity, willingness to move from high-level architectural design to hands-on scripting and operational support to solve problems, and a foundational interest and passion for AI/ML and its practical applications. Preferred experience includes financial services or fintech, building applications on top of LLMs using frameworks such as LangChain or LlamaIndex, Retrieval-Augmented Generation patterns, MLOps tooling and concepts such as MLflow, model serving, feature stores, or pipeline orchestration with Kubeflow, Vertex AI, or SageMaker, and AWS or GCP cloud certifications at the Associate or Professional level.

Salary Range
Millennium offers a total compensation package which includes a base salary, discretionary performance bonus, and comprehensive benefits. The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future. When finalizing an offer, we take into consideration an individual's experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

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