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Senior Front End Developer Remote Jobs in Florida

Bayswater Consulting Group

Full Stack Engineer

Orlando, FL · Remote

$130K - $170K/yr

... a Senior Software Engineer for a full-time, direct hire opportunity. This is a fully remote ... Design, develop, and ship high-quality full stack features across front-end and back-end systems

New

Versant Media

Senior Software Engineer

Orlando, FL · Remote

$114K - $150K/yr

Reduce technical debt and improve developer experience to keep systems modern, fast, and ... Experience with frontend frameworks such as Vue.js, Vuetify, or Angular * Experience designing and ...

Versant Media

Sr. Software Engineer

Orlando, FL · Remote

$114K - $150K/yr

Reduce technical debt and improve developer experience to keep systems modern, fast, and ... Experience with frontend frameworks such as Vue.js, Vuetify, or Angular * Experience designing and ...

VetsEZ

Backend Engineer (Remote Opportunity)

Miami, FL · Remote

Collaborate with frontend developers, QA engineers, DevSecOps teams, and product stakeholders to ... Remote Opportunity. Note: Selected candidates will be required to complete fingerprinting at a ...

TMTG

Senior AI Engineer

Sarasota, FL · Remote

$118K - $155K/yr

Senior AI Engineer Remote - US only Full-time Are you passionate about building AI products people actually use, serving millions of users? Do you want to help lead the AI engineering effort at this ...

Tetra Tech

Senior Structural Engineer (Remote)

Tampa, FL · On-site +1

$95K - $129K/yr

Tetra Tech is adding a Senior/Lead Structural Engineer to our Power team. Why Tetra Tech: At Tetra Tech, we are Leading with Science to solve the world's most complex challenges. Our industry-leading ...

Tetra Tech, Inc.

Senior Structural Engineer (Remote)

Tampa, FL · On-site +1

$95K - $129K/yr

Tetra Tech is adding a Senior/Lead Structural Engineer to our Power team. Why Tetra Tech: At Tetra Tech, we are Leading with Science to solve the world's most complex challenges. Our industry-leading ...

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Senior Front End Developer Remote information

What are the key skills and qualifications needed to thrive as a senior front end developer remote?

To thrive as a Senior Front End Developer (Remote), you need deep expertise in JavaScript, HTML, CSS, and modern frameworks like React or Angular, usually supported by a relevant degree or substantial professional experience. Familiarity with version control systems (e.g., Git), build tools (Webpack, npm), and UI/UX best practices, along with knowledge of accessibility standards, is essential. Strong problem-solving abilities, effective communication, and the ability to work independently and collaboratively are standout soft skills for remote success. These competencies enable the delivery of high-quality, user-friendly web applications while ensuring seamless teamwork and adaptability in a remote environment.

What is the difference between Senior Front End Developer Remote vs Front End Developer?

AspectSenior Front End Developer RemoteFront End Developer
Required Experience5+ years, leadership skills1-3 years, entry to mid-level
CertificationsOptional, advanced certificationsOptional, beginner certifications
Work EnvironmentRemote, collaborative teamsRemote or on-site, team-based
ResponsibilitiesDesign, architecture, mentorshipImplementation, coding, testing

The main difference between a Senior Front End Developer Remote and a Front End Developer is experience level and responsibilities. Senior roles involve leadership, architecture, and mentorship, while entry-level roles focus on coding and implementation. Both roles often work remotely and require similar technical skills, but senior positions demand more experience and strategic input.

What does a senior front end developer do when working remotely?

A Senior Front End Developer working remotely is responsible for designing and implementing user-facing features of web applications, ensuring the interface is visually appealing, responsive, and functional across devices. They collaborate with designers, backend developers, and product teams to deliver seamless user experiences, often using frameworks like React, Angular, or Vue.js. In a remote setting, they rely on digital communication tools and version control systems to coordinate work, manage code, and participate in agile development processes. Additionally, they may mentor junior developers and ensure code quality through reviews and best practices.

How does a senior front end developer typically collaborate with remote teams to ensure project success?

As a Senior Front End Developer working remotely, you will frequently collaborate with cross-functional teams, including designers, backend developers, and product managers, primarily through digital communication tools like Slack, Jira, and video conferencing. You'll often take the lead in code reviews, architectural discussions, and mentoring junior developers to maintain high code quality and project alignment. Effective asynchronous communication and proactive documentation are essential to bridge time zone differences and keep everyone informed of progress. This collaborative environment helps foster innovation and ensures that deliverables meet both technical and business requirements.

What are popular job titles related to Senior Front End Developer Remote jobs in Florida?

For Senior Front End Developer Remote jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Senior Front End Developer Remote jobs in Florida look for?

The top searched job categories for Senior Front End Developer Remote jobs in Florida are:

What cities in Florida are hiring for Senior Front End Developer Remote jobs?

Cities in Florida with the most Senior Front End Developer Remote job openings:

Senior Front End Developer Remote jobs near you
Infographic showing various Senior Front End Developer Remote job openings in Florida as of August 2026, with employment types broken down into 78% Full Time, 16% Part Time, 1% Temporary, and 5% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution.

SENIOR COMPUTER VISION ENGINEER - REMOTE SENSING VACANCY - Satlantis

SATLANTIS

Gainesville, FL • On-site, Remote

$94K - $130K/yr

Full-time

Re-posted 21 hours ago

Job description

Satlantis is a leading-edge company specializing in high-performance satellite technology and data processing. We are at the forefront of innovation, developing advanced solutions for Earth observation and space exploration. Join our dynamic team in Gainesville, Florida, and contribute to groundbreaking projects that shape the future of satellite technology. For more information about the company, please visit www.satlantis.com .
Position Summary
We are seeking a highly motivated and experienced Senior Computer Vision Engineer with strong technical leadership to drive Satlantis US's computer vision and imagery understanding initiatives. The ideal candidate combines deep expertise in modern vision systems with pragmatic delivery: you will design, develop, evaluate, and deploy computer vision models and pipelines that operate on large-scale satellite imagery and geospatial data products.
This is a hands-on role where you will own vision workstreams end-to-end-from problem definition and dataset strategy to model development, production deployment, performance optimization, and iteration-while setting engineering standards, mentoring teammates, and partnering closely with engineering, product, and mission teams. You will help ensure our computer vision systems are accurate, robust, scalable, and operationally effective in real-world Earth-observation workflows.
What you'll do:
  • Own your developments. Lead high-impact computer vision initiatives such as segmentation, object detection, classification, image matching, semantic retrieval, change detection, tracking, and anomaly detection over satellite imagery and derived geospatial products, delivering measurable improvements in model quality and operational outcomes.
  • Translate problems into vision systems. Convert customer needs, mission requirements, and research goals into well-scoped computer vision problems, define success metrics and KPIs (e.g. precision/recall, mAP, IoU, F1, latency, throughput, memory footprint), and establish acceptance criteria and validation plans.
  • Design datasets that win. Drive dataset strategy for vision applications, including annotation protocols, tiling and sampling strategies, class balance, hard-negative mining, augmentation policies, domain-shift analysis, and label-quality audits. Establish repeatable dataset versioning and documentation practices.
  • Build robust training and evaluation pipelines. Implement reproducible experimentation, benchmarking, ablation studies, and error-analysis workflows for computer vision models, including geospatially aware evaluation where applicable.
  • Advance model architectures. Develop and improve state-of-the-art computer vision approaches, including CNNs, transformers, encoder-decoder architectures, self-supervised learning, multi-modal fusion, and foundation-model adaptation for remote sensing imagery. Optimize solutions for real operational constraints such as image resolution, viewing conditions, atmospheric noise, and multi-temporal data.
  • Operationalize vision models. Partner with software and platform engineers to productionize vision systems, including model packaging, inference optimization, deployment pipelines, monitoring, drift detection, versioning, rollback strategies, and performance tuning across heterogeneous compute environments.
  • Raise the engineering bar. Set standards for code quality, reproducibility, model validation, benchmarking, documentation, and peer review. Write clear technical design documents and decision memos that align stakeholders and accelerate execution.

Skills and experience (required):
  • Bachelor's, Master's, or PhD in Computer Science, Computer Engineering, Electrical Engineering, Remote Sensing, Robotics, or a related field.
  • 3+ years of professional experience in computer vision, machine learning, or applied AI, including delivering vision models into production or operational workflows.
  • Strong proficiency in Python for machine learning and computer vision workflows; ability to write clean, maintainable, and well-tested code.
  • Deep knowledge of computer vision fundamentals, including image representations, feature extraction, geometric reasoning, dense prediction, detection, segmentation, and model evaluation.
  • Hands-on experience with deep learning frameworks such as PyTorch (preferred) or TensorFlow, and practical experience implementing modern vision architectures.
  • Strong understanding of training and inference optimization, including data loading efficiency, batching, mixed precision, model compression, and performance-aware experimentation.
  • Experience working with large-scale imagery or visual datasets and building pipelines that are reliable and reproducible.
  • Strong communication skills, with the ability to explain complex technical trade-offs clearly to cross-functional stakeholders.

Nice to have (preferred)
  • Geospatial / satellite domain experience: GDAL, Rasterio, projections/CRS, tiling strategies, GeoTIFF/COG/NetCDF, STAC/PgSTAC, and geospatial image-quality considerations.
  • Remote-sensing computer vision: experience with multi-spectral or panchromatic imagery, super-resolution, image fusion, orthorectification-aware workflows, and change detection in Earth-observation contexts.
  • Spatiotemporal vision modeling: time-series imagery, temporal fusion, motion/change analysis, event detection, or tracking across repeated satellite captures.
  • MLOps / production AI: model serving, monitoring, experiment tracking (e.g. W&B, MLflow, CometML), orchestration (Airflow, Argo, ZenML), and lifecycle management.
  • Cloud & compute: experience training and running inference on AWS/GCP/Azure and on-prem HPC/cluster environments, including SLURM-managed GPU/CPU fleets and Kubernetes-based infrastructure; strong understanding of containers, distributed training, GPU scheduling, storage/performance bottlenecks, and cost/performance tuning.
  • Foundation models for vision / Earth observation: fine-tuning, embedding extraction, retrieval systems, transfer learning, promptable models, and multimodal representation learning.
  • C++ or performance-oriented deployment experience: OpenCV, ONNX, TensorRT, Triton Inference Server, CUDA optimization, or edge/real-time inference workflows.
  • Familiarity with data governance and quality frameworks, including lineage, validation checks, and dataset documentation.

Work Authorization:
This role will not sponsor any employment visas. Candidates must have and maintain unrestricted legal authorization to work in the U.S. now and in the future, without requiring employer-sponsored visa support.
Location & Work Model:
Full-time, in-person position in Gainesville, Florida. You'll work closely with engineering and business teams on impactful, real-world satellite analytics and AI systems-helping deliver reliable, scalable capabilities that push forward the state of the art in Earth observation.
Why Join Satlantis?
  • Be part of a pioneering company at the forefront of space technology.
  • Work on challenging and impactful projects that have real-world applications.
  • Collaborate with a team of brilliant and passionate engineers and scientists.
  • Competitive salary and benefits package.
  • Opportunity for professional growth and development in a rapidly expanding industry.
  • Enjoy the vibrant community and quality of life in Gainesville, Florida. Learn more at https://www.visitgainesville.com/ .

Apply