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Night Shift Python Django Backend Developer Jobs in Springfield, MA

CMM Inspectors

Westfield, MA · On-site

$26 - $33.50/hr

Advance has an immediate Openings on our day and night shift For CMM Inspectors. Qualified Candidates should be familiar with Brown & Sharpe CMMs and Programming/Operating using PC-DMIS.

... DevOps/container orchestration. You will collaborate with data scientists, product owners, and ... Proficiency in Python for data processing, orchestration, or backend services * Strong SQL skills ...

AI Engineer

Becket, MA · Remote

$130K - $150K/yr

AI Engineer Location: Remote (US only) Compensation: $130,000 to $150,000 Must be authorized to ... Strong Python and experience building and deploying backend services and APIs (FastAPI, Flask, or ...

Full-Stack Software Engineering in Python * Lead experience in Platform Engineering including SRE ... What type of development will this contractor be doing? (Back end, front end, full stack?) and what ...

Role split: one hire leaning backend (architecture, systems), one leaning frontend (UI/design ... Python, FastAPI, Postgres, GCP, state-of-the-art LLMs and transcription APIs, React Native on the ...

We are seeking a highly motivated Engineer or Scientist to lead and contribute to the development ... with night shift personnel. KNOWLEDGE, SKILLS, ABILITIES: * Proficiency in data analysis ...

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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 Jun 20, 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 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 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 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:
Infographic showing various Night Shift Python Django Backend Developer job openings in Springfield, MA as of June 2026, with employment types broken down into 1% Locum Tenens, 52% Full Time, 45% Part Time, and 2% Contract. Highlights an 100% Physical job distribution, with an average salary of $147,715 per year, or $71 per hour.

Software Engineer, Data Infrastructure & Acquisition - Hartford, CT, USA

Speechify

Hartford, CT • On-site

$115K - $138K/yr

Full-time

Posted 15 days ago


Job description

The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.
What You'll Do
  • Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
  • Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
  • Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
  • Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team's dataset roadmap to power Speechify's next-generation consumer and enterprise products.

An Ideal Candidate Should Have
  • BS/MS/PhD in Computer Science or a related field.
  • 5+ years of industry experience in software development.
  • Proficiency with bash/Python scripting in Linux environments
  • Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
  • Experience with web crawlers, large-scale data processing workflows is a plus
  • Ability to handle multiple tasks and adapt to changing priorities.
  • Strong communication skills, both written and verbal.

What we offer
  • A fast-growing environment where you can help shape the company and product.
  • An entrepreneurial-minded team that supports risk, intuition, and hustle.
  • A hands-off management approach so you can focus and do your best work.
  • An opportunity to make a big impact in a transformative industry.
  • Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
  • Opportunity to work on a life-changing product that millions of people use.
  • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
  • Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience
Think you're a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.
And don't forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit?
Refer them!
Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.