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Senior Fastapi Developer Jobs in Needham, MA (NOW HIRING)

Lila Sciences

Senior Software Engineer, App

Cambridge, MA · On-site

$133K - $176K/yr

Leverage AWS services, Kubernetes and modern DevOps practices to build and deploy production-grade ... Experience with and web services for CRUD services (SQLModel, FastAPI, Django). * Orchestration ...

Paperless Parts

Senior Software Engineer

Boston, MA · On-site

$142K - $192K/yr

About the Role Join our engineering team as a Senior Software Engineer and play a crucial role in ... We work across a modern stack - Python (Django and FastAPI), TypeScript and React, PostgreSQL, and ...

New

Lila Sciences

Senior Software Engineer, App

Cambridge, MA · On-site

$133K - $176K/yr

Leverage AWS services, Kubernetes and modern DevOps practices to build and deploy production-grade ... Experience with and web services for CRUD services (SQLModel, FastAPI, Django). * Orchestration ...

CVS Health

Senior Data Engineer

Wellesley, MA · On-site

$92K - $222K/yr

Develop Python-based APIs (Flask/FastAPI) to enable seamless data access, model integration, and ... Knowledge of CI/CD and DevOps practices for data engineering * Experience with other cloud services ...

Paperless Parts

Senior Software Engineer

Boston, MA · On-site

$133K - $175K/yr

About the Role Join our engineering team as a Senior Software Engineer and play a crucial role in ... We work across a modern stack - Python (Django and FastAPI), TypeScript and React, PostgreSQL, and ...

New

Paperless Parts

Senior Software Engineer

Boston, MA · On-site

$133K - $175K/yr

The Senior Software Engineer will play a crucial role in building solutions that power ... or FastAPI, Node/Express, or Java/Spring. • Hands-on frontend experience with TypeScript and ...

New

Klaviyo

Senior AI Engineer - Customer Agent

Boston, MA · On-site

$113K - $155K/yr

They are seeking a Senior AI Engineer on the Customer Agent team to design and build scalable ... FastAPI, Django preferred). • Experience creating human and automated evals to ensure high AI ...

twenty80.io

Senior Full Stack Software Engineer

Boston, MA · On-site +1

$160K - $210K/yr

About the Role A growing technology startup is hiring a Senior Full Stack Software Engineer to help ... Backend: Node.js (Express or NestJS) and/or Python (Django or FastAPI) * Databases: PostgreSQL ...

Hatch IT

Senior Software Engineer

Boston, MA · On-site

$133K - $175K/yr

T. is partnering with Via to find a Senior Software Engineer. See details below: About the Role: An ... Developing RESTful APIs (using frameworks such as FastAPI) secured by OAuth2/Auth * Integrating ...

Hatch IT

Senior Software Engineer

Boston, MA · On-site

$133K - $175K/yr

T. is partnering with Via to find a Senior Software Engineer. See details below: About the Role: An ... Developing RESTful APIs (using frameworks such as FastAPI) secured by OAuth2/Auth * Integrating ...

Hatch IT

Senior Software Engineer

Boston, MA · On-site

$133K - $175K/yr

T. is partnering with Via to find a Senior Software Engineer. See details below: About the Role: An ... Developing RESTful APIs (using frameworks such as FastAPI) secured by OAuth2/Auth * Integrating ...

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Senior Fastapi Developer information

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How much do senior fastapi developer jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for senior fastapi developer in Needham, MA is $67.25, according to ZipRecruiter salary data. Most workers in this role earn between $57.07 and $75.43 per hour, depending on experience, location, and employer.

What does a Senior FastAPI Developer do?

A Senior FastAPI Developer designs, develops, and maintains backend web applications using the FastAPI framework in Python. They are responsible for building scalable APIs, optimizing performance, ensuring security best practices, and integrating with databases and external services. Senior developers also mentor junior team members, contribute to architecture decisions, and collaborate closely with front-end engineers and stakeholders to deliver robust software solutions.

What are some common challenges faced by Senior FastAPI Developers when scaling applications, and how can these be addressed?

Senior FastAPI Developers often encounter challenges related to managing high concurrency, optimizing API performance, and ensuring robust security as applications scale. To address these, it’s important to implement asynchronous programming practices, leverage efficient database queries, and utilize API gateways for better traffic management. Collaboration with DevOps and QA teams is also essential to automate deployments and monitor system health, ensuring smooth scaling and reliable user experiences.

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

To thrive as a Senior FastAPI Developer, you need deep expertise in Python, RESTful API design, and experience building scalable web backends, typically supported by a degree in computer science or related field. Familiarity with FastAPI, Docker, cloud platforms (such as AWS or Azure), and CI/CD tools is highly valued, along with proficiency in testing frameworks. Strong problem-solving, leadership, and communication skills help you collaborate effectively with cross-functional teams and mentor junior developers. These skills enable the delivery of robust, efficient, and maintainable APIs that support business goals and high user demands.
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Senior Fastapi Developer jobs near you

Senior Software Engineer, Data

Lila Sciences

Cambridge, MA

$133K - $176K/yr

Other

Re-posted 16 days ago

Job description

Your Impact at LILA

Join us in shaping the future of science! We are seeking Senior Software Engineers with backend experience to join our Data Platform Team (Data), where you'll collaborate with software engineers, lab scientists, and machine learning engineers to build cutting-edge tools for automated scientific analysis and more. If you thrive in a collaborative, fast-paced environment and bring best practices in git, development workflows, and user-centered design, we want to hear from you!

About The Team

The Data Platform Team (Data) builds and support the data systems that underpins Lila's AI Science Factory. Every experiment run in our labs, every measurement from an instrument, and every signal from our operational systems flows through the platform they build. Their work spans real-time ingestion, large-scale analytical storage, workflow orchestration, and the self-service tools scientists, engineers, and ML teams use to go from raw measurements to discoveries. They build the data backbone of Scientific Superintelligence, so the science moves faster and each experiment makes the next one smarter.

What You'll Be Building

  • Design & Build APIs: Design and build high-performance, secure, and well-documented APIs that integrate with AI-driven applications.
  • Database Architecture & Scaling: Develop schemas and manage diverse data systems (SQL, NoSQL, Vector DBs, and others) for optimal performance and scalability.
  • Performance & Reliability: Diagnose and optimize system bottlenecks, ensuring high availability and low-latency performance across large-scale workloads.
  • Cloud & Infrastructure: Leverage AWS services, Kubernetes and modern DevOps practices to build and deploy production-grade systems at scale.
  • Cross-Functional Collaboration: Work with ML researchers, engineers, and scientists to integrate data pipelines, APIs, and cloud infrastructure into scientific workflows.

What You'll Need To Succeed

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • 5-8+ years of engineering experience building and deploying large-scale backend systems in production.
  • Cloud & DevOps Knowledge: Hands-on experience with AWS; strong understanding of Kubernetes and containerization, infrastructure-as-code (Terraform, CloudFormation), and CI/CD pipelines (GitHub Actions).
  • Experience with ORMs: Experience with and web services for CRUD services (SQL Alchemy, SQLModel, FastAPI, Django).
  • Orchestration Systems: Experience with orchestrators tools (Airflow, Prefect, Temporal, Dagster).
  • Full Stack Development: Experience developing web apps across the full stack (React, TypeScript, Monorepos like Nx, TailWind, FastAPI, SQL/NoSQL, Python, Pydantic)
  • Hands on experience using AI coding assistants to drive productivity is required.
  • Communication & Collaboration: Acute listening skills, and a proven track record of working cross-functionally with scientists, data engineers, and product teams; able to explain complex ideas to diverse audiences.
  • Problem Solving: Proven ability to deliver backend solutions, balancing trade-offs between scalability, performance, and maintainability.

Bonus Points For

  • Familiarity with Python for Science: Familiarity with data science and ML libraries (pandas, numpy, scipy, jax, pytorch).
  • Domain Background: Exposure to laboratory software or analytics for life sciences, material sciences, or related fields.
  • Experience with laboratory devices, robotics, or hardware

Apply