Senior Python Backend Developer (Remote - US) Job at Jobgether, Remote

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  • Jobgether
  • Remote

Job Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Python Backend Developer in the United States .

In this role, you will design and develop scalable, high-performance backend systems and APIs that power critical applications consumed by tens of thousands to millions of users daily. You will actively code using Python-based frameworks such as FastAPI, Django, or Flask, and lead a team of engineers to build robust microservices for data-intensive, customer-facing products. This position offers the opportunity to innovate at the intersection of fintech and software engineering, ensuring reliability, performance, and availability for real-time financial data systems. You will collaborate with cross-functional teams, mentor engineers, and leverage cutting-edge tools and best practices to drive engineering excellence.

Accountabilities:

  • Develop, maintain, and enhance Python-based APIs and microservices that power customer-facing applications.
  • Design scalable and highly available backend systems for high-volume usage.
  • Implement data caching strategies, asynchronous processes, and query/index optimization for performance.
  • Collaborate with product owners, project managers, and cross-functional teams to define requirements, acceptance criteria, and delivery timelines.
  • Integrate systems with third-party providers and services.
  • Participate in code reviews, on-call rotations, and continuous improvement of engineering practices.
  • Utilize AI-assisted tools like GitHub Copilot or Claude to accelerate development and maintain high-quality code.

Requirements

  • 5+ years of experience developing APIs and backend systems using Python frameworks such as FastAPI and Django.
  • Proven experience building scalable systems serving hundreds of thousands of simultaneous users.
  • Strong expertise in data caching strategies, asynchronous data processing, and query tuning.
  • Experience with relational databases, ORMs, and SQL optimization.
  • Proficiency with Docker, containerization, and CI/CD pipelines.
  • Knowledge of system monitoring, telemetry, and performance optimization.
  • Strong problem-solving, collaboration, and communication skills.
  • Preferred: experience with Redis, Postgres, AWS services (SQS, RDS, Dynamo), and familiarity with front-end technologies like React or Next.js.

Benefits

  • Competitive hourly pay within the range of $90–$100 USD.
  • Opportunities to work remotely across the United States.
  • Comprehensive support for professional growth and team collaboration.
  • Flexible work environment with access to modern development tools and AI-assisted technologies.
  • Participation in meaningful projects impacting large-scale customer-facing applications.


Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or assessments) are then made by their internal hiring team.

Thank you for your interest!

 

#LI-CL1

Job Tags

Remote job, Hourly pay, Full time, Worldwide, Flexible hours,

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