Overview
On Site
USD 140,000.00 - 180,000.00 per year
Full Time
Skills
Pivotal
Leadership
Optimization
Performance Tuning
Scalability
Collaboration
Knowledge Sharing
Documentation
Mentorship
Innovation
Machine Learning Operations (ML Ops)
Emerging Technologies
Compliance Management
Google Cloud Platform
Google Cloud
Amazon Web Services
Robotics
Amazon EC2
IaaS
Management
Docker
Kubernetes
Workflow
Computer Networking
Storage
Mechanical Engineering
Supervision
Software Design
Analytical Skill
Conflict Resolution
Problem Solving
Communication
Cloud Computing
Amazon SageMaker
Microsoft Azure
Artificial Intelligence
Continuous Integration
Continuous Delivery
Machine Learning (ML)
Programming Languages
Python
Java
JavaScript
Life Insurance
Screening
Writing
Career Counseling
Recruiting
Law
Testing
Job Details
Mid-AWS Cloud Engineer - Permanent - Florida, FL - $140000.00 - $180000.00.
The final salary or hourly wage, as applicable, paid to each candidate/applicant for this position is ultimately dependent on a variety of factors, including, but not limited to, the candidate's/applicant's qualifications, skills, and level of experience as well as the geographical location of the position.
Applicants must be legally authorized to work in the United States. Visa sponsorship not available.
Our client is seeking a Mid-AWS Cloud Engineer in Florida, FL.
Job Description
As a Cloud Engineer, you will play a pivotal role in supporting tech leadership by participating in the optimization, deployment and performance of cloud-based solutions. You will assist in the integration of machine learning models into cloud environments, ensuring performance optimization and scalability, and aligning systems with business goals. You'll collaborate with cross-functional teams to drive innovation and support the seamless operation of data intensive applications in a cloud platform.
Responsibilities
Partner with engineering teams to deploy, scale, and monitor ML Operations and cloud based solutions.
Documentation and Knowledge Sharing
Develop and maintain detailed documentation for testing procedures and workflows, contributing to the team's technical growth by sharing insights, providing mentorship to other team members, and fostering a collaborative environment.
Continuous Learning and Innovation
Stay up to date with the latest cloud technologies, machine learning operations trends and best practices to continuously improve support offerings, prototype and evaluate emerging technologies to maintain a competitive edge.
Risk and Compliance Management
Ensure cloud systems comply with security and regulatory standards, particularly in handling sensitive data and critical applications.
Experience with AWS and other cloud platforms (Microsoft Azure, Google Cloud) in a professional setting.
Familiarity with designing data intensive cloud architectures
Hands on experience with cloud infrastructure management, containerization (Docker, Kubernetes), and automated deployment workflows.
Solid foundation of cloud-based networking, storage solutions, and security protocols.
Skills & Requirements
Must possess experience and proficiency with ECS
Experience with AWS Fargate when using ECS is highly preferred
Experience with Robotics Engineering or education highly preferred
Must possess experience and proficiency with designing and operating scalable cloud-based compute solutions on AWS EC2
Must possess experience and proficiency with Lambda
Must possess experience designing data intensive cloud architectures
Must possess hands on experience with cloud infrastructure management, containerization (Docker, Kubernetes), and automated deployment workflows
Must possess experience with cloud-based networking, storage solutions, and security protocols
Hands-on experience with cloud-based machine learning (ML) services
Must possess experience and proficiency utilizing CI/CD pipelines for machine learning deployment
Must possess experience and proficiency developing scalable software solutions and seamlessly integrating ML models into production
Must possess familiarity with common programming languages (Python, Java or JavaScript)
Master's Degree in Mechanical Engineering highly preferred or in related STEM discipline
Hands-on experience with cloud-based machine learning services (AWS SageMaker, Azure ML, Google AI Platform).
Skilled with utilizing CI/CD pipelines for machine learning deployment.
Proficient in developing scalable software solutions and seamlessly integrating ML models into production
Familiarity with common programming languages (Python, Java or JavaScript).
Abilities
Ability to work within a large-scale, cross-functional project team independently with minimal supervision.
Excellent communication skills to convey complex technical concepts to both technical and non-technical stakeholders.
Ability to develop new features and infrastructure in support of rapidly emerging business and project requirements.
Ensure application performance, uptime, and scale, and maintain high standards for code quality and application design.
Strong analytical, problem solving and communication skills.
Hands-on experience with cloud-based machine learning services (AWS SageMaker, Azure ML, Google AI Platform).
Skilled with utilizing CI/CD pipelines for machine learning deployment.
Proficient in developing scalable software solutions and seamlessly integrating ML models into production
Familiarity with common programming languages (Python, Java or JavaScript).
Benefits/Other Compensation:
Medical, Dental, Life Insurance, 401K.
Why Hays?
You will be working with a professional recruiter who has intimate knowledge of the industry and market trends. Your Hays recruiter will lead you through a thorough screening process in order to understand your skills, experience, needs, and drivers. You will also get support on resume writing, interview tips, and career planning, so when there's a position you really want, you're fully prepared to get it.
Nervous about an upcoming interview? Unsure how to write a new resume?
Visit the Hays Career Advice section to learn top tips to help you stand out from the crowd when job hunting.
Hays is committed to building a thriving culture of diversity that embraces people with different backgrounds, perspectives, and experiences. We believe that the more inclusive we are, the better we serve our candidates, clients, and employees. We are an equal employment opportunity employer, and we comply with all applicable laws prohibiting discrimination based on race, color, creed, sex (including pregnancy, sexual orientation, or gender identity), age, national origin or ancestry, physical or mental disability, veteran status, marital status, genetic information, HIV-positive status, as well as any other characteristic protected by federal, state, or local law. One of Hays' guiding principles is 'do the right thing'.
We also believe that actions speak louder than words.
In that regard, we train our staff on ensuring inclusivity throughout the entire recruitment process and counsel our clients on these principles. If you have any questions about Hays or any of our processes, please contact us.
In accordance with applicable federal, state, and local law protecting qualified individuals with known disabilities, Hays will attempt to reasonably accommodate those individuals unless doing so would create an undue hardship on the company. Any qualified applicant or consultant with a disability who requires an accommodation in order to perform the essential functions of the job should call or text .
Drug testing may be required; please contact a recruiter for more information.
#LI-DNI
The final salary or hourly wage, as applicable, paid to each candidate/applicant for this position is ultimately dependent on a variety of factors, including, but not limited to, the candidate's/applicant's qualifications, skills, and level of experience as well as the geographical location of the position.
Applicants must be legally authorized to work in the United States. Visa sponsorship not available.
Our client is seeking a Mid-AWS Cloud Engineer in Florida, FL.
Job Description
As a Cloud Engineer, you will play a pivotal role in supporting tech leadership by participating in the optimization, deployment and performance of cloud-based solutions. You will assist in the integration of machine learning models into cloud environments, ensuring performance optimization and scalability, and aligning systems with business goals. You'll collaborate with cross-functional teams to drive innovation and support the seamless operation of data intensive applications in a cloud platform.
Responsibilities
Partner with engineering teams to deploy, scale, and monitor ML Operations and cloud based solutions.
Documentation and Knowledge Sharing
Develop and maintain detailed documentation for testing procedures and workflows, contributing to the team's technical growth by sharing insights, providing mentorship to other team members, and fostering a collaborative environment.
Continuous Learning and Innovation
Stay up to date with the latest cloud technologies, machine learning operations trends and best practices to continuously improve support offerings, prototype and evaluate emerging technologies to maintain a competitive edge.
Risk and Compliance Management
Ensure cloud systems comply with security and regulatory standards, particularly in handling sensitive data and critical applications.
Experience with AWS and other cloud platforms (Microsoft Azure, Google Cloud) in a professional setting.
Familiarity with designing data intensive cloud architectures
Hands on experience with cloud infrastructure management, containerization (Docker, Kubernetes), and automated deployment workflows.
Solid foundation of cloud-based networking, storage solutions, and security protocols.
Skills & Requirements
Must possess experience and proficiency with ECS
Experience with AWS Fargate when using ECS is highly preferred
Experience with Robotics Engineering or education highly preferred
Must possess experience and proficiency with designing and operating scalable cloud-based compute solutions on AWS EC2
Must possess experience and proficiency with Lambda
Must possess experience designing data intensive cloud architectures
Must possess hands on experience with cloud infrastructure management, containerization (Docker, Kubernetes), and automated deployment workflows
Must possess experience with cloud-based networking, storage solutions, and security protocols
Hands-on experience with cloud-based machine learning (ML) services
Must possess experience and proficiency utilizing CI/CD pipelines for machine learning deployment
Must possess experience and proficiency developing scalable software solutions and seamlessly integrating ML models into production
Must possess familiarity with common programming languages (Python, Java or JavaScript)
Master's Degree in Mechanical Engineering highly preferred or in related STEM discipline
Hands-on experience with cloud-based machine learning services (AWS SageMaker, Azure ML, Google AI Platform).
Skilled with utilizing CI/CD pipelines for machine learning deployment.
Proficient in developing scalable software solutions and seamlessly integrating ML models into production
Familiarity with common programming languages (Python, Java or JavaScript).
Abilities
Ability to work within a large-scale, cross-functional project team independently with minimal supervision.
Excellent communication skills to convey complex technical concepts to both technical and non-technical stakeholders.
Ability to develop new features and infrastructure in support of rapidly emerging business and project requirements.
Ensure application performance, uptime, and scale, and maintain high standards for code quality and application design.
Strong analytical, problem solving and communication skills.
Hands-on experience with cloud-based machine learning services (AWS SageMaker, Azure ML, Google AI Platform).
Skilled with utilizing CI/CD pipelines for machine learning deployment.
Proficient in developing scalable software solutions and seamlessly integrating ML models into production
Familiarity with common programming languages (Python, Java or JavaScript).
Benefits/Other Compensation:
Medical, Dental, Life Insurance, 401K.
Why Hays?
You will be working with a professional recruiter who has intimate knowledge of the industry and market trends. Your Hays recruiter will lead you through a thorough screening process in order to understand your skills, experience, needs, and drivers. You will also get support on resume writing, interview tips, and career planning, so when there's a position you really want, you're fully prepared to get it.
Nervous about an upcoming interview? Unsure how to write a new resume?
Visit the Hays Career Advice section to learn top tips to help you stand out from the crowd when job hunting.
Hays is committed to building a thriving culture of diversity that embraces people with different backgrounds, perspectives, and experiences. We believe that the more inclusive we are, the better we serve our candidates, clients, and employees. We are an equal employment opportunity employer, and we comply with all applicable laws prohibiting discrimination based on race, color, creed, sex (including pregnancy, sexual orientation, or gender identity), age, national origin or ancestry, physical or mental disability, veteran status, marital status, genetic information, HIV-positive status, as well as any other characteristic protected by federal, state, or local law. One of Hays' guiding principles is 'do the right thing'.
We also believe that actions speak louder than words.
In that regard, we train our staff on ensuring inclusivity throughout the entire recruitment process and counsel our clients on these principles. If you have any questions about Hays or any of our processes, please contact us.
In accordance with applicable federal, state, and local law protecting qualified individuals with known disabilities, Hays will attempt to reasonably accommodate those individuals unless doing so would create an undue hardship on the company. Any qualified applicant or consultant with a disability who requires an accommodation in order to perform the essential functions of the job should call or text .
Drug testing may be required; please contact a recruiter for more information.
#LI-DNI
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.