Developer python, Work, Jobs in Remote (with Salaries)

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- AI
- Paid training
- Flexible schedule
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- Free parking
Quick apply
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- Azure
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- Full-time
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- AI
- Annual leave
SQL Server Developer
Amentum —Remote
- Full-time
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- Analysis skills
- Bachelor's degree
- Communication skills
- Employee assistance programme
- Flexible schedule
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ZEPZ TECHNOLOGY SERVICES LIMITED —Remote
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- Annual leave
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- English
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- Full-time
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- Azure
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- AWS
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3d
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Tiro Partners —Remote
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Staff Backend Engineer - Alerting | UK | Remote
Grafana Labs —Remote
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Senior PHP Web Developer with a “Can Do” Attitude – Pakistan
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Software Engineer, Infrastructure
Meta —Remote
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RemoteStar —Remote
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Principal Software Engineering Manager
GitHub, Inc. —Remote
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Staff Software Engineer - Databases SRE | UK | Remote
Grafana Labs —Remote
- £103,958 - £124,750 a year
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- Azure
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- AWS
- Annual leave
Software Engineer III
DISCO —Remote
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- AWS
- Analysis skills
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Staff Software Engineer - Data Solutions & Measurement
Cint —Remote
- Full-time
- Remote
- Java
- SQL
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Quick apply
Staff Software Engineer
Mad Devs —Remote
- Remote
- English
- Mentoring
- AI
- Paid training
- Flexible schedule
Senior Software Engineer
GitHub, Inc. —Remote
- £76,900 - £142,900 a year
- Full-time
- Remote
- Doctoral degree
- Computer Science
- Engineering

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Junior Agentic Developer

Mad Devs -
Remote

Apply Now

Job details

9 days ago

Benefits

Paid training
Flexible schedule

Qualifications

Software troubleshooting
English
Russian
Software quality assurance
CI/CD pipelines
GitHub
Software testing
AI
Software development or architecture experience
TypeScript
GitLab
Debugging

Full job description

Mad Devs is looking for a Junior Agentic Developer to help improve the technical health of internal engineering projects using AI-powered development workflows and our internal platform, Enji Guard.
#LINKD

JavaScriptAI ToolPythonC++AI

What will need to do:

Work on internal Mad Devs projects and engineering tools
Investigate engineering issues identified by Enji Guard
Analyze unfamiliar codebases and understand existing technical constraints
Use AI coding agents to implement improvements
Review, test, refactor, and debug AI-generated code
Improve code quality, reliability, maintainability, documentation, testing, CI/CD, and production readiness
Prepare and merge pull requests
Collaborate with mentors and engineering teams through code reviews, technical discussions, and feedback sessions.

The goal is not simply to generate code with AI. The goal is to improve real software systems and make them healthier, more reliable, and easier to maintain.

Requirements:

6+ months of commercial software development or equivalent hands-on experience demonstrated through personal, freelance, academic, or open-source projects
Experience using AI coding agents (such as Codex, Claude Code, Cursor, GitHub Copilot, or similar tools) in at least one substantial software project
Experience with at least one of the following programming languages: Python, JavaScript/TypeScript, or C++
A GitHub, GitLab repository, or another project that demonstrates your work
Working knowledge of Git and pull requests
Basic experience working with Linux, Docker, and relational databases such as PostgreSQL
Familiarity with software quality practices, including testing, debugging, refactoring, and writing maintainable code
Basic understanding of CI/CD concepts and modern software development workflows
The ability to clearly explain: what the AI generated, what decisions you made, etc.
Language Proficiency: English at B2-C1 level, Russian at B2 level.

It will be a plus:

Open-source contributions
Experience with CI/CD pipelines
Deployed public projects
Experience fixing bugs in unfamiliar codebases
Hackathon, bootcamp, or competitive programming achievements
Your own product, startup, automation, or tool that creates measurable value.

How To Apply

In addition to your traditional CV, please send us a short proof-based application. Include links to your GitHub or GitLab projects built with AI agents, along with a brief explanation of what each project does. Describe which AI tools you used, how you used them, which parts of the projects were generated by AI agents, and which parts you personally designed, reviewed, fixed, tested, or improved. If available, also include examples of testing, CI/CD pipelines, deployments, active users, or any real-world usage.

Employees benefits

Flexible working hours

Remote-first culture

Long-term projects

Salary in dollars

Professional communities

Onsite business trips

Training budget

Paid conferences

Hi, I'm Ekaterina.

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