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Remote Python Engineer Jobs in Tennessee (NOW HIRING)

* Fully remote opportunity * Must be eligible for a federal security clearance (U.S. Citizenship is ... Go, Python, Bash * CI/CD: GitLab CI, ArgoCD * IaC/Config Management: Puppet, Helm, Ansible

$139K - $168K/yr

Strong knowledge of Python or C++, or the ability to learn them quickly * A passion for learning ... LI-SS2 LI-REMOTE

$139K - $168K/yr

Strong knowledge of Python or C++, or the ability to learn them quickly * A passion for learning ... LI-SS2 LI-REMOTE

Infrastructure Platform Engineer

Oak Ridge, TN ยท On-site +1

$102K - $134K/yr

On-site or Hybrid preferred (Oak Ridge, TN), but will consider remote Overview: The High ... Programming and scripting skills in common languages such as Python and bash * Understanding of ...

This position can be remote, but it'd require you to come on-site twice a year. * Must be eligible ... bash, Python, and Go) * Working knowledge of tools such as Prometheus, Nagios, and Grafana to ...

Showing results 21-40

Remote Python Engineer information

See Tennessee salary details

$20.9K

$127K

$183.8K

How much do remote python engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for remote python engineer in Tennessee is $127,040.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,300.00 and $149,300.00 per year, depending on experience, location, and employer.

What does a remote Python engineer do?

A Remote Python Engineer designs, develops, and maintains software applications using the Python programming language, all while working from a remote location. Their responsibilities typically include writing efficient code, troubleshooting issues, collaborating with team members through online tools, and integrating third-party APIs or libraries. They may work on web development, automation scripts, data analysis, or backend services depending on the company's needs. Remote Python Engineers must have strong communication skills and be comfortable using project management and version control tools like Git. This role is ideal for those who want the flexibility of working from home while contributing to software projects.

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

Remote Python Engineers often encounter challenges such as effective communication across time zones, maintaining productivity outside a traditional office, and ensuring code quality in distributed teams. To overcome these, it's helpful to use collaborative tools like Slack and GitHub, participate in regular virtual meetings, and follow clear coding standards. Actively documenting your work and reaching out proactively to teammates can also foster a sense of connection and streamline project workflows.

What are the key skills and qualifications needed to thrive as a remote Python engineer, and why are they important?

To thrive as a Remote Python Engineer, you need a strong command of Python programming, experience with software development best practices, and familiarity with frameworks like Django or Flask, often supported by a relevant degree or equivalent experience. Proficiency in version control systems such as Git, cloud platforms like AWS or Azure, and continuous integration tools is typically required. Excellent problem-solving abilities, self-motivation, and clear written communication are crucial for effective collaboration in a remote environment. These skills ensure high-quality code delivery, efficient teamwork across distributed teams, and successful project outcomes.

What is the difference between Remote Python Engineer vs Remote Data Scientist?

AspectRemote Python EngineerRemote Data Scientist
Required SkillsPython, APIs, software developmentPython, statistics, machine learning
Work EnvironmentSoftware development teams, coding, debuggingData analysis, modeling, research
Industry UsageTech, startups, software companiesFinance, healthcare, tech

While both roles require Python skills, Remote Python Engineers focus on building and maintaining software applications, whereas Remote Data Scientists analyze data and develop models. The roles often overlap in Python proficiency but differ in their core responsibilities and industry applications.

What are the most commonly searched types of Python Engineer jobs in Tennessee?

The most popular types of Python Engineer jobs in Tennessee are:

What job categories do people searching Remote Python Engineer jobs in Tennessee look for?

The top searched job categories for Remote Python Engineer jobs in Tennessee are:

What cities in Tennessee are hiring for Remote Python Engineer jobs?

Cities in Tennessee with the most Remote Python Engineer job openings:

Infographic showing various Remote Python Engineer job openings in Tennessee as of August 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $127,040 per year, or $61.1 per hour.

Kubernetes Software Engineer

ITR

Oak Ridge, TN โ€ข Remote

Full-time

Re-posted 8 days ago


Job description

  • Fully remote opportunity
  • Must be eligible for a federal security clearance (U.S. Citizenship is required)

Kubernetes Platform Software Engineer
As a Platform Software Engineer, you will design, implement, and maintain the custom Kubernetes operators underpinning the on-premises Kubernetes clusters, with a strong focus on scalability, reliability, and maintainability. You will assist with Kubernetes infrastructure automation via the creation of tooling and processes. You will advise on the technical direction and implementation of the internal team's software engineering initiatives, evaluate and integrate key technologies, and provide mentorship to the junior engineers for software development.
Key Responsibilities
  • Custom Kubernetes operator development
  • Design, implement, maintain, modify, and test custom Kubernetes operators written in Go and/or Ansible
  • Enhance existing software development processes, practices, and standards. Test environments to evaluate tooling based on performance, feature set, and maintainability—especially for components that must work reliably with on-premise hardware and OS requirements.
  • Support the use and understanding of in-house Kubernetes operators and serve as a maintainer for those controllers.
  • Architecture & Infrastructure as Code and Tooling
  • Develop and implement an Architecture as Code process for the Slate platform
  • Write and maintain infrastructure and deployment code using tools such as ArgoCD (GitOps), Puppet (OS management), Go, Python, Bash, Ansible, Terraform, and GitLab CI.
  • Engage with development teams to understand platform needs and tailor the cluster experience to meet evolving requirements.
  • Technical Leadership for Software Engineering
  • Provide software development, guidance, code reviews, and pair programming support to a team of 11 engineers.
  • Contribute to onboarding, team documentation, and process improvement initiatives.
  • Act as a go-to technical expert for all Kubernetes custom operator questions across the engineering organization.
Collaboration
  • Partner closely with internal cybersecurity and development teams to ensure the platform's custom operators meet security, compliance, and usability expectations.
  • Participate in cross-functional projects related to platform enhancements, cluster lifecycle automation, and infrastructure provisioning.
Key Technologies & Tools
  • Languages: Go, Python, Bash
  • CI/CD: GitLab CI, ArgoCD
  • IaC/Config Management: Puppet, Helm, Ansible
  • Kubernetes & Ecosystem: On-prem K8s, Custom Operators, Service Mesh, k8s architecture
  • Operating Systems: Linux-based OS management at the hardware level, strong Linux sysadmin skills
What Sets This Role Apart
  • Deep involvement in designing on-prem Kubernetes infrastructure, with full ownership from OS/hardware layer up to service-level automation.
  • A platform-first approach to engineering that balances security, developer experience, and operational scalability.
  • Strong mentorship and team enablement focus—guiding engineers while staying hands-on with architecture and implementation.