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Senior Python FastAPI Engineer (Remote)

Flexton Inc. United State
Remote
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Build robust, scalable backend APIs and microservices using Python, FastAPI, and cloud services. Collaborate with diverse skillsets and remote workers. Support newer projects in manufacturing domain, generative AI, and new product development.

Key Highlights
Develop and scale backend APIs and microservices
Collaborate with remote workers and diverse skillsets
Support newer projects in manufacturing domain, generative AI, and new product development
Technical Skills Required
Python FastAPI Docker Kubernetes Cloud deployments RESTful API design SQL PostgreSQL MySQL OAuth API gateways CI/CD Terraform Helm Agile Principles (Scrum) Version control software
Benefits & Perks
100% remote work
Flexible EST time zone

Job Description


Job Title: Senior Python FastAPI Engineer

Duration: 6 Month(s)

Location: 100% Remote (EST)

Information

Top 3 skills – Fast API, comparable Flask or Django

Cloud deployments, Kubernetes, Docker

Fast API implementation and Scaling

Experience with fine tuning and scaling

Python experience is on team, but need is in experience in working at microservices at scale,

Nice to have – MCP development

Model context protocol – building MCP development

Skills - collaborating with diverse skillsets and remote workers

Project person will be supporting –newer project, manufacturing domain , generative AI, new product development and ingredient substitution, expand current skillsets on team, Copilot experience for food scientists on client side

Work Location (in office, hybrid, remote) – Remote is fine, EST Time zone preferred

Is travel required – No

Interview process and when will it start – Codility technical assessment, general and technical questions, 1 round

Prescreening Details – Standard


SUMMARY:

As a Senior Python FastAPI Engineering Contractor, you will have the opportunity to build robust, scalable backend APIs and microservices that power our applications and integrate with various data sources and external systems.

Our backend engineers use Python, FastAPI, and other modern web technologies and cloud services to deliver high-performance API solutions and services to our frontend applications, data teams, and third-party integrations.

This team is focused on building & scaling agentic & generative AI APIs to help drive savings & optimizations within Kroger's manufacturing domain.


QUALIFICATIONS, SKILLS & EXPERIENCE

• 4+ years proven ability of professional Python development experience

• 3+ years proven ability of developing with FastAPI or similar web frameworks (Flask, Django)

• 3+ years of experience with container technologies (Docker, Kubernetes, Helm)

• 3+ years of experience with cloud automation tools (Terraform)

• 3+ years of experience with RESTful API design and development

• 3+ years of experience with SQL and database technologies (PostgreSQL, MySQL, etc.)

• Full understanding of web service architecture and microservices design patterns

• Experience with CI/CD

• Experience with OAuth & common authentication/authorization patterns

• Experience working with API gateways is a plus

• Experience with version control software

• Strong understanding of Agile Principles (Scrum)

• Bachelor's Degree (Computer Science, Management Information Systems, Mathematics, Software Engineering, or STEM)



Key Responsibilities

Take ownership of features and drive them to completion through all phases of the entire SDLC. This includes internal and external facing applications as well as process improvement activities:

• Perform development in Python, FastAPI, and integrate with databases, external APIs, and cloud services

• Contribute to design and develop reusable API components and highly available, low latency, cloud native microservices

• Participate in full software development life cycle (SDLC) of cloud-based solutions – conceptualize, design, develop, test, deploy and support/enhance

• Feel comfortable engaging with the cloud ecosystem – Azure Cloud Services

• Develop subject matter expertise of the APIs/microservices developed and supported

• Participate in retrospective reviews

• Participate in the estimation process for new work and releases

• Bring new perspectives to problems


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