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Api Python Jobs in Massachusetts (NOW HIRING)

Senior Backend Software Engineer

Watertown, MA ยท On-site

$133K - $175K/yr

... and Python front-end functionality. * Improve our task pipelines through an innovative design for a web API in a multi-physical simulation context. * Develop and maintain hybrid cloud compute and ...

Senior Backend Software Engineer

Watertown, MA ยท On-site

$133K - $175K/yr

... and Python front-end functionality. * Improve our task pipelines through an innovative design for a web API in a multi-physical simulation context. * Develop and maintain hybrid cloud compute and ...

Software Engineering Manager- Hybrid

Newton, MA ยท On-site

$146K - $167K/yr

Will also accept a Master's degree and 3 years of experience. โ€ข Must have experience with: Healthcare Domain; โ€ข Creating Python ETL scripts for data pipelines; Creating REST API integrations for ...

Software Engineering Manager- Hybrid

Newton, MA ยท On-site +1

$146K - $167K/yr

Creating Python ETL scripts for data pipelines; Creating REST API integrations for data movement; Relational databases including PostgreSQL; Graph databases; DevOps best practices covering code ...

Lead AI Engineer

Boston, MA ยท On-site

$111K - $146K/yr

Python, FastAPI, Flask * LangChain, LlamaIndex, Transformers library * OpenAI API, Azure OpenAI, Anthropic Claude * Vector databases (Pinecone, Weaviate, ChromaDB) * Git, Docker, Kubernetes

Senior AI Engineer

Boston, MA ยท On-site

$113K - $155K/yr

Strong software engineering skills - Python/TypeScript, API design, backend integration, and cloud deployment. * Tool fluency - comfortable with RAG, vector databases (e.g., Pinecone/Weaviate ...

Senior QE

Boston, MA ยท On-site

$65 - $70/hr

... I/API Functional Testing * Good understanding of regulated environment experience like Clinical Research / Pharma or Lifescience * Automation tools like Selenium, Playwright with Java/Python ...

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Showing results 1-20

Api Python information

What are some common challenges faced by API Python developers when integrating third-party services, and how can they be addressed?

API Python developers often encounter challenges such as inconsistent documentation, rate limiting, and unexpected changes in third-party APIs. To address these, it's important to thoroughly read and test API documentation, implement robust error handling and retry logic, and use environment variables or configuration files to manage sensitive credentials. Developers should also stay updated on API version changes and participate in relevant developer communities to share solutions and best practices.

What is an API Python developer?

An API Python developer is a software professional who specializes in creating, implementing, and maintaining Application Programming Interfaces (APIs) using the Python programming language. Their main responsibilities include designing RESTful or GraphQL APIs, integrating third-party services, ensuring secure and efficient data exchange, and writing clean, scalable code. API Python developers often work closely with front-end developers and other back-end engineers to support seamless communication between different parts of a software system.

Which Python job is in demand?

Python development roles, including Python developers, data scientists, and backend engineers, are highly in demand across industries such as technology, finance, and healthcare. Skills in frameworks like Django or Flask, along with knowledge of APIs and data analysis, increase employability. Certifications and experience with cloud platforms can also enhance job prospects.

What is the difference between Api Python vs Data Analyst?

AspectApi PythonData Analyst
Required SkillsPython programming, API integration, data manipulationData visualization, statistical analysis, Excel, SQL
Work EnvironmentSoftware development, backend services, data pipelinesBusiness insights, reporting, data interpretation
Common EmployersTech companies, startups, data-driven organizationsFinance, marketing, consulting firms

Api Python focuses on developing and maintaining APIs using Python, emphasizing coding and technical skills. Data Analysts interpret data to provide business insights, often using tools like Excel and SQL. While Api Python roles are more technical and development-oriented, Data Analysts focus on analyzing data to support decision-making. Both roles may overlap in data handling but serve different primary functions within organizations.

Will AI replace Python devs?

AI is unlikely to fully replace Python developers, as their roles involve designing, maintaining, and optimizing AI systems, which require human expertise. Python developers also work on diverse tasks such as software development, data analysis, and automation that benefit from creative problem-solving and domain knowledge. AI tools can assist developers but are not a complete substitute for their skills and understanding of complex systems.

What jobs can I do with just Python?

With Python skills, you can pursue roles such as Python developer, data analyst, automation engineer, or backend programmer. These jobs often require knowledge of frameworks like Django or Flask, and familiarity with version control and databases enhances employability.

How much do API developers make?

API Python developers typically earn between $70,000 and $130,000 annually, depending on experience, location, and industry. Skilled developers with expertise in RESTful APIs, Flask, or Django and relevant certifications tend to command higher salaries, especially in tech hubs or companies with complex integration needs.

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

To thrive as an API Python Developer, you need a solid understanding of Python programming, RESTful API design, and experience with frameworks like Flask or Django, often supported by a degree in computer science or related field. Familiarity with version control systems like Git, API testing tools such as Postman, and containerization platforms like Docker is commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills set top developers apart. These skills ensure robust, secure, and scalable API solutions that meet business requirements and facilitate seamless collaboration within development teams.
What are popular job titles related to Api Python jobs in Massachusetts? For Api Python jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Api Python jobs in Massachusetts look for? The top searched job categories for Api Python jobs in Massachusetts are:
What cities in Massachusetts are hiring for Api Python jobs? Cities in Massachusetts with the most Api Python job openings:
Senior Backend Software Engineer

Senior Backend Software Engineer

Flexcompute Inc.

Watertown, MA โ€ข On-site

$133K - $175K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 18 days ago


Job description

Flexcompute is leading the transformation of engineering simulation with our revolutionary ultra-fast simulation technology. Our flagship products, including the industry-leading Computational Fluid Dynamics (CFD) software Flow360 and electromagnetic simulation software Tidy3D, are reshaping how simulations are conducted across diverse sectors. Founded by visionaries from Stanford and MIT and supported by top-tier venture capital firms, we are a rapidly growing team dedicated to breaking boundaries and challenging the norms of the multi-billion-dollar engineering simulation market.
Role Overview
We are looking for a Backend Software Engineer to help us design and implement scalable solutions that meet the growing demands of our advanced EM simulation platform.
The ideal candidate has expertise in high-performance computing (HPC), infrastructure, web API design, and systems design. Additionally, the candidate will be help us enhance our data management, frontend-backend API unification, and cloud integration.
Key Responsibilities
  • Contribute to general software development efforts, such as API unification, simulation data management (e.g., caching, syncing, storage), and scripting improvements.
  • Collaborate with EM and infrastructure teams to implement simulation-specific solutions, including enhancements to back-end/scheduler integrations and Python front-end functionality.
  • Improve our task pipelines through an innovative design for a web API in a multi-physical simulation context.
  • Develop and maintain hybrid cloud compute and storage solutions, integrating on-premise HPC systems with modern cloud platforms.
  • Optimize and manage high-performance computing clusters equipped with high-speed interconnects.

Requirements
Education: Bachelor's degree or higher in computer science or computer engineering.
Technical Skills:
      • Professional experience developing backend systems using Java, Python, and/or C++
      • Strong experience with AWS or similar cloud platforms (compute, storage, networking, IAM, infrastructure automation)
      • Expertise in backend service development and web API architecture
      • Hands-on experience with containerization and orchestration (Docker, Kubernetes)
      • Experience designing and operating distributed systems in production environments
      • Strong Linux systems knowledge and infrastructure troubleshooting skills
      • Experience with infrastructure automation and configuration management (e.g., Terraform, Ansible, or similar tools)
      • Familiarity with monitoring, logging, and observability tooling
      • Understanding of networking fundamentals and backend security best practices

Innovative Mindset: Ability to learn quickly, adapt to new challenges, and innovate in a fast-paced startup environment.
Bonus Skills:
    • Experience integrating cloud platforms with HPC environments or large compute clusters
    • Familiarity with job schedulers (e.g., Slurm), distributed compute frameworks, or large-scale data pipelines
    • Experience supporting scientific computing or simulation platforms
    • Knowledge of GPU infrastructure and resource scheduling
    • Experience building developer platforms or internal infrastructure tooling

Example Projects
  • Architect and deploy Kubernetes-based infrastructure to run distributed simulation workloads
  • Design and implement scalable web APIs for simulation job orchestration and data access
  • Build CI/CD pipelines and infrastructure-as-code systems for reproducible deployments
  • Develop hybrid cloud solutions connecting on-prem HPC clusters with AWS compute and storage
  • Implement monitoring and observability systems to track simulation performance and reliability
  • Improve platform scalability to support growing user traffic and compute demand
  • Design secure service architectures, authentication, and licensing systems
  • Optimize infrastructure utilization across CPU and GPU resources
Join Us
By joining Flexcompute, you'll be at the heart of a movement set to redefine the engineering simulation industry. You will play a key role in shaping the future, where our innovations in simulation technology pave the way for groundbreaking advancements. We are committed to fostering an innovative and collaborative culture where boundaries of possibility are re-imagined, driven by creativity, expertise, and a shared vision of transforming the technological landscape.
Benefits
  • Competitive compensation with equity of a fast-growing startup.
  • Medical, dental, and vision health insurance.
  • 401(k) Contribution.
  • Gym allowance.
  • Friendly, thoughtful, and intelligent coworkers.