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Fastapi Developer Jobs in Pittsburg, CA (NOW HIRING)

Albert Invent

Staff ML Ops Engineer

Oakland, CA · On-site

Design and build high-performance Python APIs and services using FastAPI or similar frameworks ... Partner closely with ML engineers to understand requirements and deliver production-ready ...

Colorwave Inc

Full Stack Engineer

San Francisco, CA · On-site

$170 - $240K/hr

Full Stack Engineer Consensus is building the OS for research. Today, our academic search engine ... Deep experience with Next.js, TypeScript, FastAPI, Python, Postgres, and common SaaS tools (auth ...

Krew Research

Full Stack Engineer

San Francisco, CA · On-site

... FastAPI) * Ship user-facing features end-to-end (from data model to API to UI) * Improve ... Help evolve our engineering standards and product development process Minimum Qualifications * At ...

Krew

Full Stack Engineer

San Francisco, CA · On-site

$150K - $250K/yr

... FastAPI) * Ship user-facing features end-to-end (from data model to API to UI) * Improve ... Help evolve our engineering standards and product development process Minimum Qualifications: * At ...

Hedra

Senior Backend Engineer

San Francisco, CA · On-site

$175K - $275K/yr

As a Senior Backend Engineer , you will design, build, and deploy the backend services that power ... Experience developing scalable services using Python, using frameworks such as FastAPI and Pydantic

Krew Research

Full Stack Engineer

San Francisco, CA · On-site

$150K - $250K/yr

... FastAPI) * Ship user-facing features end-to-end (from data model to API to UI) * Improve ... Help evolve our engineering standards and product development process Minimum Qualifications: * At ...

Cypress HCM

Sr. Full Stack Engineer

San Francisco, CA

$150 - $200/hr

Sr. Full Stack Engineer We're looking for a strong full stack engineer to join a collaborative ... React, TypeScript, Python, FastAPI GraphQL * Familiarity with data infrastructure and API ...

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Fastapi Developer information

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How much do fastapi developer jobs pay per hour?

As of Jun 23, 2026, the average hourly pay for fastapi developer in Pittsburg, CA is $58.73, according to ZipRecruiter salary data. Most workers in this role earn between $44.90 and $71.88 per hour, depending on experience, location, and employer.

What are some common challenges FastAPI Developers face when integrating third-party services or APIs?

FastAPI Developers often encounter challenges when integrating third-party services, such as handling authentication protocols (like OAuth2), ensuring compatibility between JSON schemas, and managing asynchronous calls to avoid performance bottlenecks. It’s also common to troubleshoot and adapt to inconsistencies in external API documentation or rate limits. Collaborating closely with frontend teams and DevOps professionals helps streamline these integrations, ensuring robust, scalable API solutions.

What is the difference between Fastapi Developer vs Backend Developer?

AspectFastapi DeveloperBackend Developer
Required SkillsPython, Fastapi, REST APIs, async programmingMultiple languages (Python, Java, Node.js), REST/SOAP APIs, databases
Work EnvironmentWeb development, API-focused projects, microservicesBroader software development, server-side logic, database management
Industry UsageTech startups, SaaS, API-driven servicesEnterprise, e-commerce, finance, various industries

Fastapi Developers specialize in building high-performance APIs using Python and Fastapi, often within microservices architectures. Backend Developers have a broader scope, working with multiple languages and technologies to develop server-side applications across various industries. While Fastapi Developers focus on API efficiency, Backend Developers handle comprehensive backend systems.

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

To thrive as a FastAPI Developer, you need strong proficiency in Python programming, RESTful API design, and experience with FastAPI, often supported by a background in computer science or related fields. Familiarity with tools like SQL/NoSQL databases, Docker, and cloud platforms, as well as knowledge of asynchronous programming and API documentation tools like Swagger, is typically required. Excellent problem-solving skills, attention to detail, and effective communication set outstanding FastAPI developers apart. These skills are crucial for building reliable, high-performance APIs that meet modern application demands and facilitate seamless team collaboration.

What is a FastAPI Developer?

A FastAPI Developer is a software engineer who specializes in building web applications and APIs using the FastAPI framework, which is a modern, fast (high-performance) web framework for Python. FastAPI Developers are responsible for designing, developing, and maintaining backend services and APIs that are efficient, robust, and scalable. They often work with databases, authentication, and deployment processes, and ensure that the API endpoints adhere to best practices for security and performance. Their work is crucial for enabling smooth communication between front-end applications and backend systems.
What job categories do people searching Fastapi Developer jobs in Pittsburg, CA look for? The top searched job categories for Fastapi Developer jobs in Pittsburg, CA are:
What cities near Pittsburg, CA are hiring for Fastapi Developer jobs? Cities near Pittsburg, CA with the most Fastapi Developer job openings:
Fastapi Developer jobs near you
Staff ML Ops Engineer

Staff ML Ops Engineer

Albert Invent

Oakland, CA • On-site

Full-time

Posted 27 days ago

Job description

Albert's mission is to digitalize the world of chemistry. Using data and machine learning, Albert enables R&D organizations to dramatically accelerate the invention of new materials. Our platform helps scientists and engineers build structured data foundations, digitize formulation and testing workflows, and apply AI to innovate faster, smarter, and at scale.
About the role
As our Backend & Infrastructure Engineer, you will architect and build the core systems that power everything our AI/ML team delivers-the APIs, infrastructure, and distributed systems that make intelligent capabilities possible at scale. This is a foundational role: you'll shape how AI gets built and shipped here.
We are seeking a highly motivated and talented individual with deep expertise in Python backend development, Kubernetes, and distributed systems. You'll be embedded with ML engineers and researchers, building robust systems that turn ambitious AI ideas into production realities-whether that's powering agent-based workflows, scaling inference, or enabling scientific computing pipelines. The infrastructure you build will directly enable researchers at the world's largest chemical and materials companies to leverage AI in ways that weren't possible before-accelerating discovery, enabling inverse design of novel materials, and transforming how science gets done.
What you'll do
Infrastructure & Kubernetes:
  • Design, deploy, and maintain Kubernetes infrastructure supporting AI/ML workloads
  • Manage containerized services, autoscaling, networking, and resource optimization

Backend Development:
  • Design and build high-performance Python APIs and services using FastAPI or similar frameworks
  • Architect backend systems for scalability, reliability, and low latency
  • Build integrations between AI/ML systems and the broader Albert platform

Distributed Systems:
  • Build and operate distributed systems that handle compute-intensive and high-throughput workloads
  • Design for fault tolerance, graceful degradation, and horizontal scalability
  • Implement async workflows, job queues, and task orchestration as needed

Data Infrastructure:
  • Architect and maintain data pipelines and storage systems supporting AI/ML workflows
  • Work with vector databases, caches, and other data stores as required by ML systems
  • Ensure efficient data access patterns for training and inference workloads

Reliability & Operations:
  • Implement observability including logging, metrics, tracing, and alerting
  • Own system reliability-troubleshoot issues, conduct post-mortems, and continuously improve
  • Design CI/CD pipelines and promote automation best practices
  • Implement infrastructure-as-code practices using Terraform, Helm, ArgoCd, Pulumi, or similar tools

Collaboration:
  • Partner closely with ML engineers to understand requirements and deliver production-ready infrastructure
  • Translate ML prototypes and research code into scalable, maintainable systems
  • Contribute to technical decisions that shape the team's architecture
You will have
  • Deep expertise in Python backend development and distributed systems
  • Strong Kubernetes and cloud infrastructure experience
  • A builder's mindset-you want to create foundational systems that others build on
  • Genuine interest in science and technology; curiosity about how your work enables scientific discovery
  • A commitment to building systems that are reliable, maintainable, and scalable

Key competencies
  • A degree in Computer Science or a related field with 7+ years of industry experience (Bachelor's) or 5+ years (Master's or PhD) in software engineering
  • Experience supporting AI/ML teams or deploying ML systems in production
  • Experience with GPU workloads and scheduling
  • Advanced proficiency in Python including async programming and performance optimization
  • Deep experience with Kubernetes-cluster management, networking, autoscaling, and troubleshooting
  • Strong background in distributed systems and microservices architecture
  • Experience with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code
  • Proficiency in REST API development using FastAPI, Flask, or similar
  • Experience with containerization and CI/CD pipelines
  • Track record of operating production systems at scale

Preferred/Bonus Points
  • Familiarity with scientific computing or research environments
  • Background in or curiosity about chemistry, materials science, or related fields
  • Familiarity with data engineering tools (Airflow, Dagster, or similar)
  • Experience with vector databases or search infrastructure
  • Expertise in observability tools (Prometheus, Grafana, Datadog)
  • Experience with message queues and event-driven architectures (Kafka, Redis, RabbitMQ)
  • Contributions to open-source projects
  • Experience mentoring engineers
Why Albert?
We have a huge impact. Albert is a growing team with a big reach. Our Platform facilitates the invention of materials for tens of thousands of companies and hundreds of thousands of applications - from coatings used on rockets to adhesives used in electric vehicles to 3D printed medical devices. We love distributed teams. Albert's home-base is in the California Bay Area, but we have multiple offices and employees sprinkled around the globe. In fact, over 50% of our employees work outside of California! An international remote culture is in our DNA. We care about you. Albert works hard to create a positive environment for our employees, and we think your life outside of work is important too. We work hard and we play hard. We value diversity. Growing and maintaining our inclusive and diverse team matters to us. We are committed to being a company where our employees feel comfortable bringing their authentic selves to work and have the ability to be successful - every day. We're always looking for humble, sharp, and creative folks to join the Albert team. If you think you might be a fit please apply!

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