Talantix.io
Urban Linker•10.03.26
AI SCORE 8.5

Senior Software Engineer - Python & Cloud Automation

$90K–$120K/year
RemoteAI Automation
Python•Cloud•Docker•Kubernetes•CI/CD•Machine Learning•API Integration

About the Role

We are looking for a Senior Software Engineer to join our innovative team at Urban Linker, where you will work remotely from anywhere in Europe. As a Senior Software Engineer specializing in Python and Cloud Automation, you will play a crucial role in developing autonomous AI workflows that redefine the Business Process Outsourcing (BPO) industry.

What You'll Do

  • Build & Orchestrate: Develop business logic in Python according to specifications set by the Deployment Strategist using our internal orchestration framework.
  • Connect Systems: Implement creative integration strategies, including through internal or undocumented APIs.
  • Test & Adjust: Execute iterative tests to ensure deterministic and safe behavior of the language models.
  • Deploy: Ensure the production of workflows in the Cloud environment (GKE) and their proper functioning.
  • Maintain & Improve: Monitor production workflows, correct regressions, and optimize agent performance over time.

Requirements

  • Proficiency in Python: 3 to 5+ years of backend development experience, with a penchant for complex integrations or internal API engineering.
  • LLM Pragmatism: Practical experience with language models (prompts, context) and testing of non-deterministic behaviors.
  • Cloud Autonomy: Skills in Docker, Kubernetes, and CI/CD; ability to deploy your own code.
  • Functional Translation: Ability to transform vague business logic into clear and structured code.
  • Business Curiosity: Interest in understanding client businesses (e-commerce, SaaS, etc.).
  • Startup Environment: Experience in early-stage remote startups is appreciated.

Nice to Have

  • Experience with machine learning and chatbot technologies.
  • Familiarity with testing frameworks and methodologies.
  • Knowledge of CI/CD practices and tools.

What We Offer

  • Competitive salary based on experience.
  • Full remote work from Europe.
  • Professional development opportunities: continuous learning, mentorship, and career progression.
Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This role offers an exciting opportunity to work on cutting-edge AI solutions in a fully remote setting, with a strong focus on professional growth and innovation.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

→

Proficient in Python with a strong understanding of libraries such as Pandas and NumPy for data manipulation, as well as experience in building RESTful APIs for seamless integration with cloud services.

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Demonstrates self-motivation and discipline essential for remote work, with a proven ability to manage time effectively and deliver high-quality results without direct supervision.

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Possesses a deep understanding of CI/CD pipelines using tools like Jenkins or GitLab CI, combined with hands-on experience in container orchestration with Kubernetes to ensure scalable and efficient deployment of applications.

Learning Resources

→Python for Data Science Handbookguide
→Docker and Kubernetes: The Complete Guidecourse
→Continuous Integration and Continuous Deploymentarticle

Career Path

Senior Software Engineer - Python & Cloud Automation(Now)→Lead Software Engineer(1-2 years)→Engineering Manager(3-5 years)

Market Overview

Market Size 2024
$38B
Annual Growth
11.5%
AI Adoption
63%
Investment
+25%
Labour Demand
+20%
Avg Salary
$120K

Skills & Requirements

Required
PythonCloudDocker
Growing in Demand
Data EngineeringDevOps PracticesCloud Security
Declining
jQueryAngularJS 1.x

Domain Trends

Increased Cloud Migration
By 2025, 85% of organizations are expected to have a cloud-first strategy, driving demand for cloud automation skills.
Rise of AI and Machine Learning
The machine learning market is projected to grow by 39% annually, with Python being the leading language for ML development.
Shift Towards Containerization
Containerization adoption is set to increase by 20% in 2024, with Docker and Kubernetes being the key technologies for deployment.

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