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Remote Python Engineer Jobs in Colorado Springs, CO

DevSecOps Chief

Colorado Springs, CO · On-site +1

$200K - $240K/yr

Engineering and Sciences Subcategory: Systems Engineer Schedule: Full-Time Shift: Day Job Travel ... None Potential for Remote Work: ORA_HYBRID Description SAIC is a trusted leader in delivering ...

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Cyber Capabilities ... Apply advanced technical expertise in Python programming and vulnerability exploitation to build ...

Automation Test Engineer

Colorado Springs, CO · On-site +1

$120K - $160K/yr

None Potential for Remote Work: ORA_HYBRID Description SAIC is a trusted leader in delivering ... Develop automated test scripts (Python preferred) and assist with building automated test ...

Senior Software Engineer

Colorado Springs, CO · On-site +1

$120K - $160K/yr

None Potential for Remote Work: ORA_HYBRID Description SAIC seeks an experienced and energetic ... Experience developing software with C/C++, Java, Python and FORTRAN. * Experience in Agile ...

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Remote Python Engineer information

See Colorado Springs, CO salary details

$22.7K

$137.9K

$199.6K

How much do remote python engineer jobs pay per year?

As of Jun 26, 2026, the average yearly pay for remote python engineer in Colorado Springs, CO is $137,940.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,900.00 and $162,100.00 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 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 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 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 popular job titles related to Remote Python Engineer jobs in Colorado Springs, CO? For Remote Python Engineer jobs in Colorado Springs, CO, the most frequently searched job titles are:
What job categories do people searching Remote Python Engineer jobs in Colorado Springs, CO look for? The top searched job categories for Remote Python Engineer jobs in Colorado Springs, CO are:
What cities near Colorado Springs, CO are hiring for Remote Python Engineer jobs? Cities near Colorado Springs, CO with the most Remote Python Engineer job openings:
Infographic showing various Remote Python Engineer job openings in Colorado Springs, CO as of June 2026, with employment types broken down into 72% Full Time, 23% Part Time, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $137,940 per year, or $66.3 per hour.
DevSecOps Chief

DevSecOps Chief

SAIC

Colorado Springs, CO • On-site, Remote

$200K - $240K/yr

Full-time

Posted 18 days ago


SAIC rating

7.8

Company rating: 7.8 out of 10

Based on 78 frontline employees who took The Breakroom Quiz

69th of 205 rated it services


Job description

Job ID: 2613528-OTHLOC-100000654856411

Location: Colorado Springs, CO, US

Date Posted: 2026-06-10

Category: Engineering and Sciences

Subcategory: Systems Engineer

Schedule: Full-Time

Shift: Day Job

Travel: Yes - 25% of the time

Minimum Clearance Required: TS.SCI

Clearance Level Must Be Able to Obtain: None

Potential for Remote Work: ORA_HYBRID


Description

SAIC is a trusted leader in delivering advanced command and control capabilities across the Department of the Air Force, bringing deep expertise in how cutting edge technologies are engineered, secured, and delivered to the fight. At the center of this mission, the Common Mission Control Center (CMCC) unifies data, sensors, mission applications, cloud based services, and emerging AI enabled automation to give warfighters a decisive edge—turning complex, multidomain information into fast, clear, and actionable decisions in the moments that matter most. The CMCC System Facilitator contract positions SAIC to accelerate how new capabilities are integrated, tested, secured, and transitioned into operational use, working side by side with operators, engineers, Capability Providers, and government teams to ensure every delivery strengthens mission readiness. This effort offers the chance to directly shape how the Air Force sees, decides, and acts across all domains—making a tangible and immediate impact on warfighter effectiveness.

SAIC is seeking an experienced DevSecOps Chief to lead CMCC’s DevSecOps, deployment automation, cloud engineering, and site reliability functions. This senior leader directs the secure CI/CD pipeline, manages environment provisioning and configuration, and partners closely with engineering, cybersecurity, and operational stakeholders to ensure high assurance, automated, and repeatable delivery of CMCC capabilities.

Job Duties include:

  • Lead all DSOP engineering activities including CI/CD automation, secure pipeline operations, cloud infrastructure, and site reliability engineering.
  • Design, deploy, and maintain secure cloud based services and operational infrastructure to support continuous delivery of CMCC capabilities.
  • Oversee Source Control Management, fully automated build/integration pipelines, deployment scripts, and configuration-as-code enforcement across multiple environments.
  • Direct integration, operations, and maintenance of CI/CD toolchains (GitLab, Jenkins, Argo CD, etc.), ensuring automated testing and secure software delivery.
  • Establish and enforce standards, policies, and governance for DevSecOps practices, secure deployment workflows, and configuration management.
  • Manage code promotion across Development, Test, Staging, and Operational environments, ensuring version control, auditability, and rollback readiness.
  • Work closely with developers, Capability Providers, cyber teams, and infrastructure engineers to automate processes and improve reliability, security, and performance.
  • Identify opportunities for increased automation and efficiency across deployment, testing, and monitoring functions.
  • Provide senior level technical leadership during PI Planning, backlog refinement, architecture reviews, and CCB processes. 

Qualifications

Required Qualifications & Experience:

  • 15–18+ years of experience in DevSecOps, systems engineering, cloud engineering, or deployment automation.
  • 5–7+ years managing engineering teams or leading complex DevSecOps/CI/CD operations.
  • Hands-on experience with CI/CD tools such as GitLab, Jenkins, Bitbucket, or Azure DevOps.
  • Experience with cloud platforms (e.g., Platform One, AWS GovCloud) and containerization (Docker, Podman) and orchestration (Kubernetes, Helm).
  • Knowledge of cross-domain solutions, MLS/MILS architectures, and C-ATO requirements.
  • Proficiency in secure automation, STIG/ACAS alignment, security scanning, and continuous monitoring.
  • Experience with Agile/Scrum or Kanban workflows and collaboration tools such as Jira and Confluence.
  • Strong technical communication and ability to interact with senior DoD stakeholders.

Desired Qualifications and Experience:

  • Prior experience with CBC2, AOC Falconer, DI, JFN, or other DAF C3BM modernization efforts.
  • Experience leading enterprise DevSecOps modernization or cloud-native transformation efforts.
  • Familiarity with UCI schema, EICD management, or external interface integrations.
  • Experience supporting cATO automation or RMF continuous monitoring.

Desired Skills and Certifications:

  • CISSP, Security+, CCSP, or equivalent cybersecurity certification.
  • AWS DevOps Engineer, AWS Solutions Architect, or Kubernetes CKA/CKAD certification.
  • ITIL or similar service-management training.
  • Proficiency with automation/scripting (Python, Bash, YAML). 

Target salary range: $200,001 - $240,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

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