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Python Developer Remote Jobs in Fredericksburg, VA

Senior DevOps Engineer

Ruther Glen, VA ยท Remote

$133K - $170K/yr

Remote - DMV Position Summary We are seeking a highly skilled Senior DevOps / Cloud Engineer to ... Strong hands-on experience with automation and scripting using Ansible and Python. * Experience ...

DevOps Engineer

Quantico, VA ยท On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0245224 Location: Quantico,VA,US Share job via: Share DevOps Engineer ... experience with Python, Ansible, or Terraform to build and maintain systems * 5+ years of ...

Senior Software Developer

Stafford, VA ยท On-site +1

$54.25 - $71.75/hr

Proficient in Azure DevOps 2022 and Visual Studio 2022 . * Hands-on experience with containerization and orchestration using Docker and Kubernetes . * Familiar with Swagger for API documentation and ...

Proficiency in Azure DevOps 2022 and Visual Studio 2022. * Experience with containerization and orchestration tools such as Docker and Kubernetes. * Familiarity with Swagger for API documentation and ...

Additionally, the CODIS software is used to assist with the identification of unidentified human remains, missing persons and disaster victims We are seeking a highly skilled Senior Developer to ...

We are looking for engineers to join our USN advance technology development team. We are in search of a computer science or computer engineering graduate with 1 year or more work experience to code ...

Python Developer Remote information

See Fredericksburg, VA salary details

$13

$57

$84

How much do python developer remote jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for python developer remote in Fredericksburg, VA is $57.65, according to ZipRecruiter salary data. Most workers in this role earn between $47.50 and $65.48 per hour, depending on experience, location, and employer.

What is a remote Python developer?

Remote Python developer positions design, code, and troubleshoot software and applications using the Python programming language. Instead of working in the office, remote Python developers work from home or another location outside of the office with internet connectivity. Remote Python developers often work on server-side projects related to databases, web servers, and big data manipulation. Your responsibilities include coding specific software functions, testing the format, and debugging issues. Depending on the project, you may start from scratch and build a brand new application, add features to the company's current software, or streamline existing code within the applications used throughout the company. Remote Python developers may work on the staff of an organization or be independent contractors with many different clients.

What does a remote Python developer do?

A remote Python developer designs, builds, and maintains software applications using the Python programming language, working from a location outside of a traditional office environment. Their responsibilities often include writing clean and efficient code, debugging and troubleshooting issues, collaborating with team members through online tools, and integrating third-party services or APIs. Remote Python developers may work on web applications, data analysis, automation scripts, or back-end systems, depending on the employer's needs. They must also manage their time effectively and communicate clearly to succeed in a distributed team setting.

What are some common challenges faced by remote Python developers, and how can they be addressed?

Remote Python Developers often face challenges related to communication, collaboration, and staying aligned with team goals due to physical distance. To address these issues, it's important to establish clear communication channels, actively participate in daily stand-ups or sync meetings, and utilize project management tools. Regular code reviews and pair programming sessions can also help maintain code quality and foster teamwork. Additionally, setting up a dedicated and distraction-free workspace at home can significantly boost productivity.

What is the difference between Python Developer Remote vs Data Analyst Remote?

AspectPython Developer RemoteData Analyst Remote
Required SkillsPython, programming, software developmentData analysis, SQL, Excel, visualization
Work EnvironmentRemote, tech companies, software firmsRemote, finance, marketing, consulting
Common CertificationsPython certifications, coding bootcampsData analysis certifications, Excel, SQL

Python Developer Remote and Data Analyst Remote roles often share a remote work environment and require technical skills. However, Python Developers focus on coding and software development, while Data Analysts specialize in analyzing data and generating insights. Both roles are in high demand across various industries and often require similar certifications, making them popular choices for remote tech careers.

What are the most commonly searched types of Python Developer jobs in Fredericksburg, VA?

The most popular types of Python Developer jobs in Fredericksburg, VA are:

What job categories do people searching Python Developer Remote jobs in Fredericksburg, VA look for?

The top searched job categories for Python Developer Remote jobs in Fredericksburg, VA are:

What cities near Fredericksburg, VA are hiring for Python Developer Remote jobs?

Cities near Fredericksburg, VA with the most Python Developer Remote job openings:

Infographic showing various Python Developer Remote job openings in Fredericksburg, VA as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% Remote job distribution, with an average salary of $119,908 per year, or $57.6 per hour.

Senior DevOps Engineer

Digital Links Inc

Ruther Glen, VA โ€ข Remote

$133K - $170K/yr

Contractor

Posted 8 days ago


Job description

Role: Senior DevOps / Cloud Engineer
(AWS, GCP, AI Platform Operations)
 
Location: Remote - DMV
 
Position Summary
We are seeking a highly skilled Senior DevOps / Cloud Engineer to support and enhance our existing AWS-based workloads while helping establish and expand our upcoming Google Cloud Platform (GCP) environment. This role requires deep hands-on expertise in cloud infrastructure, CI/CD, automation, application deployment, security, compliance-driven engineering, and AI platform deployment and configuration management.
The ideal candidate will have strong experience in designing, building, automating, and supporting cloud-native and hybrid environments across AWS and GCP. This individual must be capable of working independently, owning technical deliverables end-to-end, and driving implementation of reliable, secure, scalable, and compliant DevOps practices.
Key Responsibilities
  • Support, maintain, and optimize existing AWS cloud workloads and infrastructure.
  • Assist in building and operationalizing GCP support capabilities for new and future workloads.
  • Design, implement, and manage CI/CD pipelines for application and infrastructure delivery.
  • Deploy, manage, and troubleshooting applications across AWS and GCP environments.
  • Automate infrastructure provisioning, configuration management, and operational tasks using tools such as Ansible and Python.
  • Implement and support Infrastructure as Code and environment standardization practices.
  • Support deployment, configuration, and operational management of AI and ML platforms and supporting infrastructure in cloud environments.
  • Automate provisioning, configuration, and lifecycle management for AI-enabled infrastructure and services.
  • Collaborate with engineering and platform teams to enable secure, scalable, and compliant environments for AI workloads, without requiring hands-on AI application or model development.
  • Ensure cloud environments and deployment processes align with security and compliance requirements, including regulated frameworks such as FedRAMP or similar.
  • Monitor system health, availability, and performance, and proactively resolve operational issues.
  • Create and maintain technical documentation, runbooks, architecture diagrams, and standard operating procedures.
Independently manage assigned work items, priorities, and deliverables with minimal supervision.
  • Contribute to platform engineering best practices, cloud governance, and automation strategy.
Required Qualifications
  • 10+ years of overall IT experience, with significant focus on DevOps, cloud engineering, systems engineering, or platform engineering.
  • Strong hands-on experience supporting and deploying workloads in AWS.
  • Working knowledge or hands-on experience with GCP, including deployment and support of applications and cloud services.
  • Proven experience designing and implementing CI/CD processes and tools in enterprise environments.
  • Strong hands-on experience with automation and scripting using Ansible and Python.
  • Experience deploying, configuring, and supporting applications in cloud environments.
  • Experience supporting AI and ML platform deployments and configuration management, focused on infrastructure, automation, and operations rather than application or model development.
  • Strong understanding of infrastructure automation, configuration management, release engineering, and platform operations.
  • Experience working in compliance-driven environments, such as FedRAMP, NIST-based environments, or similar regulated frameworks.
  • Experience with source control and DevOps toolchains such as Git, Jenkins, GitLab CI, GitHub Actions, or similar platforms.
  • Knowledge of containerization and orchestration technologies such as Docker and Kubernetes.
  • Strong troubleshooting, problem-solving, and root cause analysis skills.
  • Excellent verbal and written communication skills.
  • Ability to work independently and deliver technical work items with minimal oversight.
Preferred Qualifications
  • Experience with Terraform, CloudFormation, or other Infrastructure as Code tools.
  • Experience supporting AI/ML infrastructure and operational environments in cloud platforms.
  • Experience supporting multi-cloud environments.
  • Familiarity with cloud networking, IAM, secrets management, logging, and observability tools.
  • Experience with security scanning, policy enforcement, and DevSecOps practices.
Experience supporting cloud-native AI services, MLOps-enabling infrastructure, GPU-based workloads, or model hosting environments.
  • Familiarity with services such as Amazon SageMaker, Vertex AI, container-based AI platforms, or similar technologies.
  • Experience in government, healthcare, or other highly regulated environments.
  • Relevant AWS and/or Google Cloud certifications are preferred.
Technical Skills
  • Cloud Platforms: AWS, GCP
  • Automation/Scripting: Ansible, Python, Bash
  • CI/CD Tools: Jenkins, GitLab CI, GitHub Actions, or similar
  • Source Control: Git
  • Infrastructure as Code: Terraform, CloudFormation, CDK, GCP Deployment Manager or similar
  • Containers/Orchestration: Docker, Kubernetes
  • Compliance/Security: FedRAMP, NIST, security hardening, audit support
  • Monitoring/Logging: Cloud-native and third-party monitoring and observability tools
Desired Characteristics
  • Self-starter with a strong ownership mindset.
  • Able to independently plan and execute technical tasks.
  • Detail-oriented with strong documentation discipline.
  • Comfortable working in fast-paced, evolving cloud environments.
  • Strong collaboration skills across engineering, security, and operations teams.