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Python Fastapi Developer Jobs in San Diego, CA (NOW HIRING)

Ironflow AI

AI/LLM Integration Engineer

San Diego, CA · On-site

$110.40K - $148.60K/yr

... Python and backend development * Hands-on experience with LLM APIs (e.g., OpenAI, Anthropic) and ... Bonus: Familiarity with FastAPI, GraphQL, or backend ERP workflows * Bias for action and a track ...

AIcadium

Full Stack Engineer (AI)

San Diego, CA · On-site

Engineering The Role We're looking for a Full Stack Engineer who is equally comfortable ... Python * Common Backend including FastAPI, Flask * Front End Experience with java Script, including ...

AIcadium

Full Stack Engineer (AI)

San Diego, CA · On-site

$105K - $120K/yr

Engineering The Role We're looking for a Full Stack Engineer who is equally comfortable ... Python * Common Backend including FastAPI, Flask * Front End Experience with java Script, including ...

Aicadium

Full Stack Engineer (AI)

San Diego, CA

Engineering The Role We're looking for a Full Stack Engineer who is equally comfortable ... Python * Common Backend including FastAPI, Flask * Front End Experience with java Script, including ...

Aicadium

Full Stack Engineer (AI)

San Diego, CA · On-site

Engineering The Role We're looking for a Full Stack Engineer who is equally comfortable ... Python * Common Backend including FastAPI, Flask * Front End Experience with java Script, including ...

Qualcomm

GPU Compiler QA

San Diego, CA · On-site

Engineering Group, Engineering Group > GPU ASICS Engineering General Summary: Join Qualcomm ... and FastAPI. * Proficiency in scripting languages (Python, TypeScript, HTML5, CSS3, and SCSS)

Qualcomm

GPU Compiler QA

San Diego, CA · On-site

Engineering Group, Engineering Group > GPU ASICS Engineering General Summary: Join Qualcomm ... and FastAPI. * Proficiency in scripting languages (Python, TypeScript, HTML5, CSS3, and SCSS)

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How much do python fastapi developer jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for python fastapi developer in San Diego, CA is $62.24, according to ZipRecruiter salary data. Most workers in this role earn between $51.30 and $70.67 per hour, depending on experience, location, and employer.

What is a Python FastAPI Developer job?

A Python FastAPI Developer is responsible for designing, developing, and maintaining backend applications using FastAPI, a modern web framework for building APIs with Python. They work on creating high-performance APIs, integrating with databases, implementing authentication, and ensuring scalability. This role often involves working with asynchronous programming, cloud services, and containerization tools like Docker. Developers collaborate with teams to create efficient, secure, and well-documented API endpoints for web and mobile applications.

What are the key skills and qualifications needed to thrive in the Python Fastapi Developer position, and why are they important?

To thrive as a Python FastAPI Developer, you need strong proficiency in Python programming, experience designing RESTful APIs with FastAPI, and a background in web development concepts. Familiarity with version control systems like Git, containerization tools such as Docker, and knowledge of cloud platforms or SQL/NoSQL databases are commonly required, and certifications in cloud services or Python development can be advantageous. Excellent problem-solving skills, effective communication, and the ability to collaborate in agile teams help developers contribute efficiently to complex projects. These competencies ensure robust, scalable backend solutions and smooth coordination within development teams to meet business goals.

What are some typical daily tasks for a Python FastAPI Developer?

A Python FastAPI Developer typically spends their day designing, developing, and maintaining RESTful APIs to support web or mobile applications. This involves writing clean and efficient Python code, collaborating with frontend developers or other backend engineers to integrate new features, and ensuring the application meets performance and security standards. Developers also participate in code reviews, debugging, and continuous integration processes, while regularly communicating with product managers or stakeholders to align on project requirements. Staying up to date with FastAPI enhancements and industry best practices is also a common part of the role.
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Senior Software Engineer, Infrastructure

Ironflow AI

San Diego, CA

$115.20K - $156.60K/yr

Other

Posted 10 days ago

Job description

About Ironflow AI
We are building the world's first AI-native ERP for defense tech - a system that thinks, reasons, and acts alongside the people who build, protect, and defend our way of life.
We're not patching old ideas with a flashy new user interface. We're starting fresh - reimagining how software supports operations at the cutting edge of the defense tech revolution. Built by veterans, engineers, and operators who've lived the pain of legacy systems. Ironflow combines natural language, intelligent agents, and real-world rigor to empower the frontline with clarity and speed.
If you're bold, decisive, and obsessed with impact - join us. This is where curiosity meets purpose.
Why This Role Matters
We're looking for a Senior Software Engineer specializing in Infrastructure who is excited about building and scaling the platform that powers our product. You'll own the reliability, performance, and security of our infrastructure while working closely with product engineers to ship features faster.
This is a high-ownership role at an early-stage company. The role has broad scope by design: you'll own the full infrastructure surface, from cluster operations to developer experience. We operate on AWS GovCloud in an environment purpose-built for ITAR and CUI compliance, which means the infrastructure decisions you make carry real regulatory weight. You won't be maintaining someone else's platform: you'll be the person who built it. If you want broad ownership, a direct line to product impact, and the technical challenge of building compliance-grade infrastructure from scratch, this role is for you.
What You'll Own
Infrastructure & Cloud
  • Design, build, and maintain production infrastructure on AWS (EKS, RDS, ECR, VPC, IAM, Secrets Manager, etc.).
    • >
  • Develop and manage our Kubernetes clusters: deploy workloads, tune Karpenter node autoscaling, maintain Helm charts, and keep clusters healthy.
    • >
  • Own and extend our GitOps deployment pipeline: GitHub Actions for CI/CD, ArgoCD for continuous delivery, and Helm for packaging.
    • >
  • Manage supporting cluster operators including Envoy Gateway, External DNS, cert-manager, Fluent Bit, and the AWS Load Balancer Controller.
    • >
Reliability & Observability
  • Own and improve our observability stack-Grafana for dashboards, Loki for log aggregation, Tempo for distributed tracing, and Prometheus for metrics.
    • >
  • Support multi-environment reliability across dev, stage, and production GovCloud accounts.
    • >
  • Improve system resilience through load testing (Locust), E2E testing (Playwright/Cucumber), and thoughtful capacity planning.
Application Development
  • Contribute to backend services (FastAPI, SQLAlchemy) in Python and TypeScript.
    • >
  • Work alongside product engineers as a first-class contributor, making architecture decisions that balance speed, cost, and reliability.
    • >
  • Build developer experience tooling: local dev environments, CI pipeline improvements, and automated testing scaffolds that make the whole team faster.
    • >
  • Support and extend Temporal-based workflow orchestration for background processing.
    • >
Security & Compliance
  • Implement least-privilege IAM policies, IRSA (IAM Roles for Service Accounts), and network segmentation in a GovCloud environment.
    • >
  • Manage secrets through AWS Secrets Manager and the External Secrets Operator with automated rotation.
    • >
  • Maintain TLS automation via cert-manager and OIDC authentication flows.
    • >
  • Enable SOC2, CMMC, and FedRAMP compliance activities: GRC platform integration, audit logging pipelines, FIPS-validated endpoint configuration, system boundary documentation, and evidence collection for third-party assessments.
    • >
What You Bring
  • 5+ years of professional experience in infrastructure, DevOps, SRE, or platform engineering.
    • >
  • Deep hands-on experience with AWS services in production (EKS, IAM, Secrets Manager, ECR, RDS). Experience with or strong working knowledge of AWS GovCloud is a significant plus.
    • >
  • Strong Kubernetes expertise: you've operated clusters, debugged networking issues, managed Helm charts, and tuned workloads.
    • >
  • Proficiency in Python and/or TypeScript with a genuine interest in writing application code alongside infrastructure work.
    • >
  • Experience with GitOps workflows: ArgoCD, GitHub Actions, and Helm-based deployments.
    • >
  • Solid understanding of networking fundamentals (DNS, load balancing, TLS, Kubernetes Gateway API).
    • >
  • Comfort with Linux systems administration and shell scripting.
    • >
  • Familiarity with compliance-driven infrastructure: audit logging, access controls, and evidence collection for frameworks like CMMC, FedRAMP, and SOC 2.
    • >
  • A collaborative, low-ego mindset: you thrive in small, fast-moving teams.
    • >
Nice to Have
  • Experience with Envoy Gateway or the Kubernetes Gateway API.
    • >
  • Background in PostgreSQL administration and schema-based multi-tenancy.
    • >
  • Familiarity with the Grafana observability stack (Loki, Tempo, Prometheus).
    • >
  • Experience with Karpenter for node autoscaling or cost optimization strategies for cloud spend.
    • >
  • Experience with Temporal for workflow orchestration.
    • >
  • Experience in a startup or high-growth environment where you wore many hats.
    • >

How We Work
We value autonomy, urgency, and ownership. Everyone at Ironflow moves fast, solves real problems, and holds a high bar for craft. We expect you to lead - not just follow - and to build systems that stand up to real-world complexity while staying clean and maintainable.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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