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Night Shift Python Django Backend Developer Jobs in Lawrence, MA

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . * Strong understanding of ...

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . * Strong understanding of ...

Senior Backend Engineer

Boston, MA · On-site

$120K - $190K/yr

Build internal tools and dashboards that improve operational visibility and developer workflows ... Strong experience with backend languages such as Node.js, Go, Python, Java, or similar.

Python Developer

Boston, MA

$54.50 - $75.25/hr

About the role In this role, you will engineer and develop the backend that will serve 10s of ... Develop backend in Python (the first priority is a mobile app backend) * Deliver efficient code ...

The ideal candidate will possess strong expertise in Python, PostgreSQL and system design, with a proven ability to architect efficient back-end systems and mentor engineers. This role requires a ...

Engineering Manager (Backend)

Boston, MA · On-site

$170K - $185K/yr

The ideal candidate will possess strong expertise in Python, PostgreSQL and system design, with a proven ability to architect efficient back-end systems and mentor engineers. This role requires a ...

Python, Django, Celery * Braintrust, chronosphere * Claude, Cursor * MySQL, Redis, Pulsar * Amazon Web Services (EC2, RDS, Aurora, etc.), Kubernetes, Terraform, and other DevOps tools * React ...

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Night Shift Python Django Backend Developer information

See Lawrence, MA salary details

$16.8K

$155.5K

$200.4K

How much do night shift python django backend developer jobs pay per year?

As of Sep 1, 2026, the average yearly pay for night shift python django backend developer in Lawrence, MA is $155,516.00, according to ZipRecruiter salary data. Most workers in this role earn between $152,600.00 and $175,700.00 per year, depending on experience, location, and employer.

What is a night shift Python Django backend developer?

Night Shift Python Django Backend Developers are software engineers who specialize in building and maintaining server-side applications using the Python programming language and the Django web framework, specifically working during nighttime hours. Their main responsibilities include developing backend logic, integrating databases, creating APIs, and ensuring the performance and security of web applications. Working the night shift may involve collaborating with teams in different time zones, providing overnight technical support, or maintaining critical systems outside regular business hours. These developers are essential for organizations that require 24/7 operations or support global clients.

What are the key skills and qualifications needed to thrive as a night shift Python Django backend developer?

To thrive as a Night Shift Python Django Backend Developer, you need strong proficiency in Python, Django framework, RESTful API development, and a solid understanding of databases, often supported by a degree in computer science or a related field. Familiarity with version control tools like Git, containerization platforms such as Docker, and cloud services (AWS, Azure) is typically required, and certifications in these areas can be advantageous. Excellent problem-solving abilities, effective communication, and the capacity to work independently during night hours help you excel in this role. These skills and qualities are crucial to ensure consistent, reliable backend performance and timely project delivery while collaborating across different time zones.

What are some common challenges faced by night shift Python Django backend developers, and how can I prepare for them?

Night shift Python Django Backend Developers often encounter challenges related to working with limited real-time collaboration, as most teammates and stakeholders may be offline. This can require independent problem-solving and strong written communication skills to document progress and raise issues for the next shift. Additionally, maintaining a healthy work-life balance and managing fatigue are important, so it's helpful to establish a consistent routine and leverage asynchronous communication tools. Preparing by familiarizing yourself with the team's handover processes and project management platforms can make the transition into night shift work smoother and more productive.

What is the difference between Night Shift Python Django Backend Developer vs Night Shift Java Spring Backend Developer?

AspectNight Shift Python Django Backend DeveloperNight Shift Java Spring Backend Developer
Required SkillsPython, Django, REST APIs, databasesJava, Spring Framework, REST APIs, databases
Work EnvironmentWeb development, startups, tech companiesEnterprise applications, financial services, tech firms
CertificationsPython certifications, Django coursesJava certifications, Spring certifications
Industry UsagePopular in startups and tech companiesCommon in large enterprises and financial institutions

Both roles involve backend development with a focus on server-side logic, APIs, and databases. The main difference lies in the programming language and framework used: Python with Django versus Java with Spring. Your choice depends on your preferred language, industry focus, and the specific tech stack of the employer.

What cities near Lawrence, MA are hiring for Night Shift Python Django Backend Developer jobs?

Cities near Lawrence, MA with the most Night Shift Python Django Backend Developer job openings:

Backend Developer - Remote

YO AI Labs

Boston, MA • Remote

$80 - $120/hr

Full-time

Posted 6 days ago


Job description

Senior Software Engineer

Job Type: Contractor (~15 hours/week)
Location: Remote

Job Summary

We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Key Responsibilities
  • Create reinforcement learning environments for software engineering tasks.
  • Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
  • Build deterministic verification systems and golden reference solutions.
  • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
  • Develop realistic, reproducible software engineering scenarios.
  • Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
  • Document solutions and provide clear technical feedback.
Required Skills
  • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
  • Strong understanding of algorithms and data structures.
  • Experience with bug fixing and debugging complex software issues.
  • Proven experience in feature implementation and codebase refactoring.
  • Strong knowledge of performance optimization and tuning.
  • Excellent written and verbal communication.
  • Strong attention to detail.
Preferred Qualifications
  • Experience working with large-scale or distributed codebases.
  • Familiarity with AI/ML systems is a plus but not required.
  • Experience with rigorous code reviews and software engineering best practices.
  • Experience working effectively in remote or cross-functional teams.
Hiring Process
  1. Submit an application and screening questions.
  2. Complete an AI interview (~30 minutes).
  3. Complete a technical assessment, if required.
  4. Hiring Manager review.
Compensation

Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply.

Availability

Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.