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Backend Python Jobs in Massachusetts (NOW HIRING)

Backend * Python (primary language) * Backend frameworks and microservices architectures * RPC-based services (REST, gRPC) * Node.js and JavaScript (supporting languages) Cloud & Infrastructure

We'relooking for aSenior Python Engineerto join ourever evolvingPazienteamandhelp us unleash the ... Experience writing scalable backend services that run in a production setting * Experience ...

Backend * Python (primary language) * Backend frameworks and microservices architectures * RPC-based services (REST, gRPC) * Node.js and JavaScript (supporting languages) Cloud & Infrastructure

Backend Software Engineer

Boston, MA · On-site

$127K - $171K/yr

Our Backend Software Engineer can expect to work with the latest backend technologies and ... Java/Kotlin or similar languages (Python, .NET). * A B.Sc. in Computer Science or equivalent is a ...

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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 Software Engineer, AI Observability & Evals Platform

LangChain, Inc

Boston, MA • On-site

$230K - $270K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago


Job description

About Us
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we're at a stage where we're continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About the Team
The LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, they own this end-to-end. If you want to help define what great AI observability looks like at production scale, this is where that work gets done.
About the Role
We're looking for a Principal/Lead level Software Engineer to join the LangSmith team and help drive the technical direction of the platform. You'll build across the full stack from backend services and APIs to frontend product surfaces, and you'll play a central role in shaping how we build: setting engineering standards, mentoring engineers across the team, and making architectural decisions that hold up as we scale. If you're energized by both hands-on engineering and the multiplier effect of leveling up those around you, this role is built for that.
Location: This role can be based in our Boston, San Francisco, or NYC office.
What You'll Do
Drive Technical Direction
  • Lead architectural decisions across our Go, Python, and TypeScript stack, ensuring systems are performant, maintainable, and built to scale
  • Work across the full stack, owning features end-to-end from backend services and APIs through to frontend product experiences
  • Drive tracing, monitoring, and evaluation workflows at scale, with a focus on reliability and query performance across high-volume data
  • Help shape the product roadmap by partnering closely with product and design - not just executing on it
Raise the Bar for the Team
  • Set engineering standards for the team: define patterns, lead code reviews, and establish the foundations others build on
  • Mentor and grow engineers at all levels through code review, design feedback, pairing, and ongoing technical guidance
  • Drive projects from ambiguity to delivery while maintaining high engineering standards and aggressive timelines
Own Reliability and Quality
  • Troubleshoot and resolve production issues with a root-cause mindset, and implement durable fixes
  • Ensure system reliability through strong testing, monitoring, and alerting practices
  • Create and maintain technical documentation, including system design docs and API references
What You'll Bring
  • 10+ years of professional experience in backend or fullstack engineering on highly complex, production systems
  • Strong programming skills across multiple parts of the stack: backend (Python and/or Go) and frontend (TypeScript, React, or similar)
  • Demonstrated experience making and owning architectural decisions, including tradeoffs around data systems, APIs, and service reliability
  • Experience with high-throughput or mission-critical systems, and a proven ability to optimize for performance and reliability
  • Depth in operationalizing technical work - you've taken systems from prototype to production and kept them running well at scale
  • Demonstrated track record of mentoring engineers and raising the technical quality of a team, not just the codebase
  • Strong communication skills and comfort operating cross-functionally with product, design, and engineering leadership
  • Customer centricity and an ownership mentality - you care how the product lands, not just how the code reads
  • You exemplify our operating principles

Nice to Have
  • Experience with database systems (Postgres, Redis, ClickHouse) and cloud platforms (AWS, GCP, or Azure)
  • Familiarity with observability tooling, evaluation frameworks, or AI/LLM infrastructure

Salary Range: $230,000 - $270,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.