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Night Shift Python Django Backend Developer Jobs in Springfield, MA

Saransh Inc

Back End Engineer

Hartford, CT · On-site

We are looking for a highly motivated and skilled Back-End Engineer with expertise in Python, FastAPI, and AWS cloud services to join our engineering team. This role focuses on building and deploying ...

Deloitte

CyberArk Senior Consultant

Hartford, CT

Experience with at least one backend technology stack: Node.js, Python (Django or Flask), or Java ... Bachelor's degree in computer science , Engineering, Information Technology, Data Science, Applied ...

Network Designs Inc.

AI Integrator

Chicopee, MA · On-site

$167.66K - $196.51K/yr

Advanced Python, Django, Celery, and Linux-based environments. * Integrations: REST, GraphQL, and ... Infrastructure & DevOps: Proven experience with Docker, Kubernetes, CI/CD workflows, and automated ...

Network Designs

AI Integrator #1744026

Chicopee, MA

Advanced Python, Django, Celery, and Linux-based environments. * Integrations: REST, GraphQL, and ... Infrastructure & DevOps: Proven experience with Docker, Kubernetes, CI/CD workflows, and automated ...

Network Designs Inc.

AI Integrator #1744026

Chicopee, MA · On-site

$167.66K - $196.51K/yr

Advanced Python, Django, Celery, and Linux-based environments. * Integrations: REST, GraphQL, and ... Infrastructure & DevOps: Proven experience with Docker, Kubernetes, CI/CD workflows, and automated ...

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Night Shift Python Django Backend Developer information

See Springfield, MA salary details

$15.9K

$147.7K

$190.3K

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

As of May 30, 2026, the average yearly pay for night shift python django backend developer in Springfield, MA is $147,715.00, according to ZipRecruiter salary data. Most workers in this role earn between $145,000.00 and $166,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Night Shift Python Django Backend Developer, and why are they important?

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 are Night Shift Python Django Backend Developers?

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 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 are popular job titles related to Night Shift Python Django Backend Developer jobs in Springfield, MA? For Night Shift Python Django Backend Developer jobs in Springfield, MA, the most frequently searched job titles are:
What job categories do people searching Night Shift Python Django Backend Developer jobs in Springfield, MA look for? The top searched job categories for Night Shift Python Django Backend Developer jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Night Shift Python Django Backend Developer jobs? Cities near Springfield, MA with the most Night Shift Python Django Backend Developer job openings:
Night Shift Python Django Backend Developer jobs near you
Infographic showing various Night Shift Python Django Backend Developer job openings in Springfield, MA as of May 2026, with employment types broken down into 63% Full Time, 6% Part Time, and 31% Contract. Highlights an 7% Physical, 2% Hybrid, and 91% Remote job distribution, with an average salary of $147,715 per year, or $71 per hour.

Back End Engineer

Saransh Inc

Hartford, CT • On-site

Contractor

Posted 16 days ago

Job description

Job Summary:
We are looking for a highly motivated and skilled Back-End Engineer with expertise in Python, FastAPI, and AWS cloud services to join our engineering team.
This role focuses on building and deploying robust APIs and MCP (Microservice Control Plane) server components, leveraging modern containerization and cloud-native technologies.
Key Responsibilities:
API Development:
Design, develop, and maintain RESTful APIs using FastAPI and Pydantic for data validation and serialization.
Implement scalable service-layer logic for microservices and backend systems.
MCP Server Engineering:
Build and optimize MCP server components to manage microservice orchestration and communication.
Ensure high performance, reliability, and security of service-layer interactions.
Cloud Deployment:
Deploy and manage services on AWS using Lambda, API Gateway, and ECS.
Integrate cloud-native patterns for scalability, fault tolerance, and cost efficiency.
Containerization:
Package applications using Docker or Podman for consistent deployment across environments.
Maintain container lifecycle, image versioning, and secure configurations.
Required Skills & Qualifications:
Strong proficiency in Python with experience in FastAPI and Pydantic.
Solid understanding of RESTful API design, versioning, and documentation.
Hands-on experience with AWS services: Lambda, API Gateway, ECS (Fargate or EC2-backed).
Experience with Docker or Podman for containerization and deployment.
Familiarity with CI/CD pipelines and Git-based workflows.
Knowledge of microservices architecture and service orchestration patterns.
Experience with asynchronous programming in Python (e.g., asyncio, aiohttp).
Familiarity with infrastructure as code (Terraform, AWS CDK).
Exposure to monitoring and logging tools (CloudWatch, Prometheus, Grafana).
Understanding of security best practices for APIs and cloud deployments.
Bachelor's degree in Computer Science, Engineering, or related field