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Mid Level Frontend Web Developer information
What is the difference between Mid Level Frontend Web Developer vs Junior Frontend Web Developer?
| Aspect | Mid Level Frontend Web Developer | Junior Frontend Web Developer |
|---|---|---|
| Experience | 2-4 years of experience | 0-1 year of experience |
| Skills | Proficient in HTML, CSS, JavaScript, frameworks like React or Angular, and basic debugging | Basic understanding of HTML, CSS, JavaScript, and learning frameworks |
| Responsibilities | Developing features, collaborating with designers, troubleshooting issues | Assisting in coding, learning project workflows, fixing minor bugs |
| Work Environment | Independent task handling, team collaboration | Supervised tasks, mentorship, learning-focused |
The Mid Level Frontend Web Developer typically has more experience and handles complex tasks independently, while the Junior Frontend Web Developer is still developing skills and works under supervision. Both roles are essential in web development teams, with the mid-level role requiring a deeper understanding of frameworks and project workflows.
What are the most commonly searched types of Frontend Web Developer jobs in Ohio?
The most popular types of Frontend Web Developer jobs in Ohio are:
What cities in Ohio are hiring for Mid Level Frontend Web Developer jobs?
Cities in Ohio with the most Mid Level Frontend Web Developer job openings:
Full-time
Re-posted 18 days ago
Job description
Mid-Level Systems Engineer
Location: Dayton, Ohio
Security Clearance: U.S. Citizenship Required | Ability to obtain and maintain a U.S. Government Security Clearance
Experience: 3-8 years of experience in systems engineering, distributed systems, or complex software platforms
Bachelor's degree in:
-
- Systems Engineering
- Computer Engineering
- Computer Science
- Electrical Engineering
- Software Engineering
Overview
MMB Solutions is seeking a Mid-Level Systems Engineer to support the development of advanced distributed data processing and analytics platforms. This role focuses on research, development, and experimentation with distributed computing architectures, data pipelines, and scalable analytics systems designed to process and analyze multi-modal data sources.
The successful candidate will work with a multidisciplinary engineering team designing and integrating cloud-native infrastructure, distributed processing systems, and advanced analytics workflows supporting complex mission and research environments.
This is an opportunity to contribute to cutting-edge technology development involving distributed systems, data processing frameworks, and advanced analytics architectures.
Key Responsibilities
Systems Engineering & Architecture
- Support the design and evolution of distributed data processing and analytics platforms
- Assist in developing system architectures for scalable data ingestion, processing, and analytics pipelines
- Define and document system interfaces across heterogeneous data sources and processing components
- Contribute to system requirements, architecture documentation, and technical design artifacts
Research and Development
- Support experimentation with distributed computing architectures and large-scale data processing frameworks
- Assist with development of data pipelines capable of ingesting and processing multi-modal datasets
- Participate in research activities exploring new approaches to data analytics, system scalability, and distributed processing
- Contribute to prototype development and evaluation of emerging technical capabilities
Integration and Testing
- Support integration of distributed system components across multiple compute environments
- Participate in system testing, validation, and evaluation of new platform capabilities
- Assist in the development of experimental processing pipelines and analytical workflows
- Support technical demonstrations and system evaluations
Platform Development Support
- Work with software engineers to integrate new platform capabilities and services
- Assist in developing interfaces to new data sources and processing modules
- Support deployment and configuration of distributed system components
- Contribute to performance tuning and system optimization activities
Documentation & Technical Communication
- Develop and maintain system engineering documentation, including architecture diagrams and interface descriptions
- Document experimental results, system evaluations, and technical findings
- Support technical discussions and design reviews with internal engineering teams and external stakeholders
Candidates with the following experience are strongly preferred:
- Experience with distributed systems architectures
- Familiarity with containerized environments (Docker, Kubernetes)
- Experience working with data pipelines or streaming data architectures
- Experience integrating analytics or machine learning workflows
- Experience with cloud-native infrastructure or DevOps environments
- Familiarity with simulation environments or complex data processing systems
- Experience supporting research and development programs
MMB Solutions is a technology-driven engineering firm focused on developing advanced distributed computing and analytics platforms. Our engineers work on complex technical challenges involving large-scale data processing, emerging computing architectures, and next-generation analytics systems.
We offer an environment where engineers can work on innovative technologies, collaborate with highly technical teams, and contribute directly to the development of new capabilities.