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Senior Fastapi Jobs in Massachusetts (NOW HIRING)

Lila Sciences

Senior Software Engineer, App

Cambridge, MA · On-site

$133K - $176K/yr

We're hiring Sr Principal / Principal Software Engineers to design the agents, interfaces, and ... Experience with and web services for CRUD services (SQLModel, FastAPI, Django). * Orchestration ...

CVS Health

Senior Data Engineer

Wellesley, MA

$92K - $222K/yr

Position Summary We are seeking a Senior Data Engineer with a proven track record in delivering ... Develop Python-based APIs (Flask/FastAPI) to enable seamless data access, model integration, and ...

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

We're hiring Sr Principal / Principal Software Engineers to design the agents, interfaces, and ... Experience with and web services for CRUD services (SQLModel, FastAPI, Django). * Orchestration ...

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 ...

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 ...

Klaviyo

Senior AI Engineer - Customer Agent

Boston, MA · On-site

$113K - $155K/yr

They are seeking a Senior AI Engineer to design and build scalable backend systems for their AI ... 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

Backend: Node.js (Express or NestJS) and/or Python (Django or FastAPI) * Databases: PostgreSQL ... Base Salary: $160,000 - $210,000 (San Francisco senior-level range) * Equity: Competitive equity ...

Hatch IT

Senior Software Engineer

Boston, MA

$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

$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 ...

Klaviyo

Sr. Manager, Orchestrate

Boston, MA · On-site

$137K - $181K/yr

As the Senior Engineering Manager for Orchestrate, you will lead multiple teams responsible for the ... Django/FastAPI or similar) * Experience with cloud infrastructure (AWS), DevOps practices, and ...

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 information

What is the difference between Senior Fastapi vs Backend Developer?

AspectSenior FastapiBackend Developer
Primary FocusBuilding APIs with Fastapi frameworkDeveloping server-side logic across various frameworks
Required SkillsPython, Fastapi, async programming, REST API designPython, multiple frameworks (Django, Flask, Fastapi), database management
Work EnvironmentTech companies, startups, cloud-based projectsVaried industries, enterprise and startup environments
CertificationsPython certifications, Fastapi experiencePython certifications, general backend development certifications

Senior Fastapi specialists focus specifically on building high-performance APIs using the Fastapi framework, often requiring expertise in async programming and REST API design. Backend Developers have a broader scope, working across multiple frameworks and technologies to develop server-side logic. While both roles require Python skills, Senior Fastapi roles are more specialized, whereas Backend Developers have a wider range of tools and responsibilities.

What are the most commonly searched types of Fastapi jobs in Massachusetts? The most popular types of Fastapi jobs in Massachusetts are:
What are popular job titles related to Senior Fastapi jobs in Massachusetts? For Senior Fastapi jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Senior Fastapi jobs in Massachusetts look for? The top searched job categories for Senior Fastapi jobs in Massachusetts are:
What cities in Massachusetts are hiring for Senior Fastapi jobs? Cities in Massachusetts with the most Senior Fastapi job openings:
Senior Fastapi jobs near you

Senior Software Engineer, Data

Lila Sciences

Cambridge, MA

$133K - $176K/yr

Other

Re-posted 18 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