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Remote Power Platform Developer Jobs in Gainesville, FL

Varsity Tutors

Python Tutor

Gainesville, FL · Remote

$18 - $40/hr

Why Join Our Platform? * Earn incrementally higher pay for each session with the same student ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Varsity Tutors

Java Tutor

Gainesville, FL · Remote

$18 - $40/hr

Why Join Our Platform? * Earn incrementally higher pay for each session with the same student ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

RELX

Senior Site Reliability Engineer II

Gainesville, FL · On-site +1

$125K - $209K/yr

If not, this role is fully remote. We do not restrict applicants based on job site or posting ... Build and improve CI/CD pipelines and operational workflows using Azure DevOps and GitHub * Work ...

RELX

Senior Site Reliability Engineer II

Gainesville, FL · On-site +1

$125K - $209K/yr

If not, this role is fully remote. We do not restrict applicants based on job site or posting ... Build and improve CI/CD pipelines and operational workflows using Azure DevOps and GitHub * Work ...

Varsity Tutors

Web Development Tutor

Gainesville, FL · Remote

$18 - $40/hr

Why Join Our Platform? * Earn incrementally higher pay for each session with the same student ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Varsity Tutors

Civil Engineering Tutor

Gainesville, FL · Remote

$18 - $40/hr

Why Join Our Platform? * Earn incrementally higher pay for each session with the same student ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Varsity Tutors

Computer Programming Tutor

Gainesville, FL · Remote

$18 - $40/hr

Why Join Our Platform? * Earn incrementally higher pay for each session with the same student ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

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All JobsPower Platform Developer JobsRemote Power Platform Developer JobsRemote Power Platform Developer Jobs in Gainesville, FL

Remote Power Platform Developer information

What are the key skills and qualifications needed to thrive as a Remote Power Platform Developer, and why are they important?

To thrive as a Remote Power Platform Developer, you need strong expertise in Microsoft Power Platform (Power Apps, Power Automate, Power BI), experience with related programming languages like JavaScript, and a background in computer science or a related field. Familiarity with Microsoft Azure, Dataverse, and relevant certifications such as Microsoft Certified: Power Platform Developer Associate are highly valued. Excellent problem-solving abilities, communication skills, and the ability to work independently are essential soft skills for success in a remote environment. These skills ensure the effective design, automation, and integration of business solutions while enabling seamless collaboration across distributed teams.

What is a Remote Power Platform Developer?

A Remote Power Platform Developer is a professional who designs, builds, and maintains applications, workflows, and solutions using Microsoft Power Platform tools such as Power Apps, Power Automate, Power BI, and Power Virtual Agents, all while working from a remote location. Their role involves automating business processes, creating data-driven applications, and integrating various Microsoft and third-party services to improve organizational productivity. They often collaborate with stakeholders and IT teams virtually to gather requirements and deliver user-friendly solutions tailored to business needs.

How much do Power Platform developers make?

Power Platform developers typically earn between $70,000 and $120,000 annually, depending on experience, location, and certifications. Senior developers or those with specialized skills in Power Apps, Power Automate, or Power BI can earn higher salaries, especially in enterprise environments or with additional certifications.

What are some common challenges Remote Power Platform Developers face when collaborating with distributed teams?

Remote Power Platform Developers often work closely with stakeholders, business analysts, and other developers who may be located in different time zones. This can make real-time collaboration and requirements gathering more challenging. To mitigate these challenges, clear documentation, regular virtual meetings, and the use of collaborative tools like Microsoft Teams and Azure DevOps are essential. Additionally, proactively communicating progress and blockers helps ensure smooth project delivery and fosters strong remote team dynamics.

What jobs make $3,000 a month without a degree?

Remote Power Platform Developers can earn around $3,000 or more per month by leveraging skills in Microsoft Power Apps, Power Automate, and Power BI, often with self-taught knowledge or certifications. Many such roles focus on creating business solutions and require proficiency with the platform, with some positions available to those without formal degrees but with relevant experience or certifications.

Is Power Apps developer in demand?

Power Apps developers are in high demand as organizations increasingly adopt Microsoft Power Platform to automate processes and build custom applications. Skills in Power Apps, Power Automate, and related tools are valuable, and demand is expected to grow with digital transformation initiatives across industries.

What is the difference between Remote Power Platform Developer vs Remote Power BI Developer?

AspectRemote Power Platform DeveloperRemote Power BI Developer
Required CertificationsMicrosoft Power Platform certifications, such as PL-900, PL-100Microsoft Power BI certifications, such as DA-100
Work EnvironmentRemote or hybrid, working on app and automation developmentRemote or hybrid, focusing on data visualization and reporting
Employer & Industry UsageUsed across industries for app development, automation, and process improvementPrimarily used in data analysis, reporting, and business intelligence

The Remote Power Platform Developer and Remote Power BI Developer roles share overlapping skills in Microsoft tools and certifications. However, the Power Platform Developer focuses on building apps, automations, and workflows using Power Apps, Power Automate, and Power Virtual Agents, while the Power BI Developer specializes in creating data visualizations and reports. Both roles are in demand for remote work across various industries, but their core responsibilities differ based on their focus on app development versus data analysis.

How can I make $2000 a week working from home?

A Remote Power Platform Developer can earn $2000 a week by working on multiple client projects, building a strong portfolio, and setting competitive hourly or project-based rates. Gaining certifications in Power Platform tools and developing specialized skills can increase earning potential. Consistent remote work, effective time management, and networking can also help achieve this income level.
What are popular job titles related to Remote Power Platform Developer jobs in Gainesville, FL? For Remote Power Platform Developer jobs in Gainesville, FL, the most frequently searched job titles are:
What job categories do people searching Remote Power Platform Developer jobs in Gainesville, FL look for? The top searched job categories for Remote Power Platform Developer jobs in Gainesville, FL are:
What cities near Gainesville, FL are hiring for Remote Power Platform Developer jobs? Cities near Gainesville, FL with the most Remote Power Platform Developer job openings:
Remote Power Platform Developer jobs near you
Infographic showing various Remote Power Platform Developer job openings in Gainesville, FL as of July 2026, with employment types broken down into 82% Full Time, 6% Part Time, 1% Temporary, and 11% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution.

SENIOR COMPUTER VISION ENGINEER - REMOTE SENSING VACANCY - Satlantis

SATLANTIS

Gainesville, FL • On-site, Remote

$94K - $130K/yr

Full-time

Re-posted 16 days 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