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Backend Python Jobs in Massachusetts (NOW HIRING)

We are looking for a Backend Engineer to join us working on a suite of products that powers content ... python. - Has experience with AWS technologies such as Kinesis, S3 and RDS. - Feels that testing is ...

Required Skills & Experience Expertise in Python, Terraform, and GCP (Google Cloud Platform) Experience with at least some of the following: Backend Frameworks & Technologies: Node.js, NuxtJS ...

Required Skills & Experience Expertise in Python, Terraform, and GCP (Google Cloud Platform) Experience with at least some of the following: Backend Frameworks & Technologies: Node.js, NuxtJS ...

Required Skills & Experience Expertise in Python, Terraform, and GCP (Google Cloud Platform) Experience with at least some of the following: Backend Frameworks & Technologies: Node.js, NuxtJS ...

Required Skills & Experience Expertise in Python, Terraform, and GCP (Google Cloud Platform) Experience with at least some of the following: Backend Frameworks & Technologies: Node.js, NuxtJS ...

Senior Backend Engineer

Boston, MA · Remote

$160K - $240K/yr

Senior Backend Engineer Role The Opportunity As a Senior Backend Engineer, you'll design and build ... Strong Python skills and experience with large-scale systems * Solid understanding of APIs ...

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 ...

... preferred), Java, python or any other backend oriented language • Experience with Cloud ... infrastructure and services • Exposure and experience to CI/CD/DevOps, Kubernetes, Docker, and ...

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Backend Python information

See Massachusetts salary details

$17.5K

$161.9K

$208.6K

How much do backend python jobs pay per year?

As of Jun 19, 2026, the average yearly pay for backend python in Massachusetts is $161,889.00, according to ZipRecruiter salary data. Most workers in this role earn between $158,900.00 and $182,900.00 per year, depending on experience, location, and employer.

What is the salary of a Python backend developer?

The salary of a Python backend developer typically ranges from $70,000 to $130,000 annually, depending on experience, location, and company size. Developers with expertise in frameworks like Django or Flask and knowledge of cloud services may command higher salaries.

What are backend Python developers?

Backend Python developers are software engineers who specialize in building and maintaining the server-side components of web applications using the Python programming language. They focus on databases, application logic, APIs, and integration with front-end systems, ensuring that data is processed and served efficiently. These developers often work with frameworks like Django or Flask and collaborate with frontend developers, DevOps, and other team members to deliver robust and scalable web solutions.

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

To thrive as a Backend Python Developer, you need strong proficiency in Python, knowledge of backend frameworks (like Django or Flask), and experience with databases, typically supported by a degree in computer science or related fields. Familiarity with tools such as Git, RESTful APIs, Docker, and cloud platforms like AWS or Azure, as well as relevant certifications, is highly valuable. Problem-solving ability, teamwork, and effective communication are critical soft skills for collaborating with cross-functional teams and troubleshooting issues. These skills and qualifications are crucial for building scalable, reliable backend systems that power modern applications.

What is the difference between Backend Python vs Backend Java?

AspectBackend PythonBackend Java
Required CredentialsBachelor's in CS, Python certificationsBachelor's in CS, Java certifications
Work EnvironmentWeb development, data science, startupsEnterprise applications, large-scale systems
Industry UsageTech startups, data analytics, AIBanking, finance, large corporations
Common Search/ComparisonYesYes

Backend Python and Backend Java are both popular server-side roles but differ in their typical use cases and industry focus. Python is favored for rapid development, data science, and startups, while Java is preferred for large-scale, enterprise applications. Your choice depends on the industry and project requirements.

Which pays more, C++ or Python?

For a Backend Python developer, C++ generally offers higher salaries due to its use in performance-critical applications like systems programming and game development. Python skills are highly in demand for web development and data science, but C++ often commands higher pay in specialized fields. Salary differences can vary based on experience, location, and industry.

What are common challenges faced by Backend Python developers when integrating with third-party APIs?

Backend Python developers often encounter challenges such as inconsistent API documentation, unexpected data formats, and rate limiting when integrating with third-party APIs. These issues require strong debugging skills, careful error handling, and proactive communication with API providers. Additionally, developers must ensure secure authentication, maintain up-to-date dependencies, and write scalable code to handle varying loads. Collaborating closely with frontend teams is also essential to provide seamless end-to-end functionality.

Can I do backend with Python?

Yes, Python is widely used for backend development due to its simplicity and extensive libraries. Backend Python developers often work with frameworks like Django or Flask and need knowledge of databases, APIs, and server management.

Is Python in demand for backend?

Python is highly in demand for backend development due to its simplicity, versatility, and extensive libraries like Django and Flask. Many companies seek backend Python developers for building scalable, efficient web applications and APIs, making it a valuable skill in the job market.
What are the most commonly searched types of Backend Python jobs in Massachusetts? The most popular types of Backend Python jobs in Massachusetts are:
What job categories do people searching Backend Python jobs in Massachusetts look for? The top searched job categories for Backend Python jobs in Massachusetts are:

Principal Python Backend Engineer

Fidelity Investments

Boston, MA

Full-time

Medical, Retirement, PTO

Posted 17 days ago


Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 264 frontline employees who took The Breakroom Quiz

14th of 138 rated financial services


Job description

Job Description:

Note: Fidelity is not providing immigration sponsorship for this position.

Principal Python Backend Engineer

Bring a builder's mindset to Fidelity's Enterprise AI/ML Platform and help us scale the next generation of high-performance, production-grade backend systems. You will work on the core platform that connects tools, agents, data, and models-designing clean service abstractions, building resilient processing pipelines, shipping developer-friendly APIs and SDKs, and turning rapid prototypes into well-engineered, maintainable Python systems.

The Team

We hire exceptional, driven Python engineers first-people who take pride in clean code, fast learning, and high ownership. Deep knowledge of AI/ML is not a prerequisite; the domain knowledge and context can be learned on the job. What cannot be taught is the engineering rigour, the drive, and the instinct for simplicity that we look for.

What you'll do

  • Build the core AI/ML services running in Kubernetes and locally in 'Playground' mode

  • Design clean abstractions over vector databases and multistep Search/Information Retrieval pipelines

  • Own automated real-time data ingestion for RAG: connectors, streaming pipelines, chunking/embedding strategies, parallel processing, retrieval metrics, resilience & restartability while guaranteeing ACID integrity of processed data and elimination of redundant document processing.

  • Ship developer-friendly APIs/SDKs, CLIs, and templates that make it trivial to develop agents, tools, and information retrieval pipelines at enterprise scale.

  • Instrument everything: distributed tracing for services & agentic/tool sessions, retrieval quality metrics, performance metrics, resource usage and failure forensics.

  • Turn rapid prototypes into resilient systems-pragmatic designs that are simple to use, which scale in hardware efficient manner, and above all as simple as possible.

  • Read and distill open-source frameworks, keep what's valuable, replace the bloated with lean, well engineered Python modules.

Team Culture:

  • Lead through code, productivity and knowledge sharing.

  • Ask sharp questions, challenge complexity, and encourage others to do the same.

  • We embrace a flat hierarchy where the best ideas win, regardless of seniority.

What you bring

Engineering perspective:

7+ years of professional software engineering experience, with the majority spent building and operating production-grade Python backend systems.

This is not an entry-level role and we expect a track record of owning complex systems end to end.

  • Strong Python service engineering: sound OOP, clear interfaces, thorough tests, and an obsession with readability and maintainability.

  • Real-world performance tuning across services and data stores: concurrency, async I/O, queues, caching, SQL/NoSQL indexing, pagination, and backpressure.

  • Experience building event-driven systems and/or real-time pipelines for ingestion and inference.

  • Mastery of debugging complex, distributed behavior-reproducible experiments, simulations, and evidence-driven conclusions.

  • Comfort reading open-source code and producing simplified alternatives to minimize code legacy and cognitive load.

  • Effective use of developer-assist tools to amplify output while keeping quality high and code bloat at minimum.

  • Produce services metrics that help us understand parallelism services can support in stable fashion, ensuring efficient hardware utilization. Propose scaling approaches based on application hardware utilization footprint & metrics.

  • Familiarity with key Data Science, Machine Learning, or AI libraries is a bonus, but not mandatory, as long as the candidate can demonstrate the ability to quickly learn new concepts and paradigms.

Product and Ownership perspective:

  • Fast learning across new domains, with a knack for spotting and reducing unnecessary complexity. Team works on new products, understanding and implementing latest tech is paramount, learning fast.

  • Product sensibility: start from a blank slate, ask the right questions, and design primitives that feel "Apple-like" in usability.

  • Produce functional picture & design of a product, based on that write requirements, epics and come up with stories which cover entire scope. Aim is that most of the risks are identified at start, not during implementation.

  • Collaborative communication, healthy debate, and leading by example. Comfortable switching hats to do what the projects need.

  • Ability to work in a highly dynamic environment

  • Attention to detail, being thorough in tests and questioning assumptions, being productive without a need for supervision. Our team takes pride in quality of our products.

Relevant & Nice to have skills:

  • DevOps practices (CI/CD, Docker, Kubernetes) and infrastructure as code.

  • AWS skills: EC2, S3, RDS, Lambda, IAM etc.

  • Understanding Data, performant ETL, Analytics.

Why this role

  • Shape the core platform for AI/ML services and retrieval used across Fidelity.

  • High ownership, fast iteration, and the chance to influence design.

  • Work on hard, high-impact problems with a team that values simplicity, experimentation, pace and teaching.

Is this role for you?

  • If reading this job spec brought a smile to your face or sparked a jolt of enthusiasm, you should apply (assuming adequate skill/capability levels).

  • To enjoy and thrive in our team, you should be a highly motivated & productive individual who genuinely loves what they do.

The base salary range for this position is $107,000-216,000 USD per year.

Placement in the range will vary based on job responsibilities and scope, geographic location, candidate's relevant experience, and other factors.

Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.

We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted.

Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

Certifications:Category:Information Technology

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