Python developer Jobs in Detroit, MI

RECRUITER ADDITIONAL REQUIREMENT NOTES :

LinkedIn: LI link in the candidate’s profile is mandatory for each submission.

Prioritize candidates with 5+ years of Python development experience, cloud platform expertise (GCP preferred, AWS/Azure acceptable), and at least 1 year of Angular, React, or Vue experience. Focus on engineers with microservices, REST API, SQL, and cloud-based data platform development backgrounds.

JOB TITLE :

Full Stack Software Engineer (Python, Angular & Cloud Platform)

SKILL CATEGORY :

Application Development - Full Stack

REQUIRED SKILLS :

Full Stack

WORK LOCATION :

Dearborn, MI

ONSITE / REMOTE :

Onsite at work location address

SALARY :

$120000 - $125000 Yearly
**It is expected that our partners will come in at market rate to ensure we can always be competitive.**

Contract / Direct Hire :

DURATION :

Full Time

MUST BE INCLUDED WITH SUBMITTAL :

1. Full Legal Name
2. Phone
3. Email
4. Current Location
5. Rate
6. Work Authorization
7. Willing to relocate
8. Confirm this candidate is on or will be on your W2

JOB DESCRIPTION :

Job Title

Full Stack Software Engineer (Python & Cloud Platform)

Overview

We are seeking a highly motivated Full Stack Software Engineer to join our Platform Engineering team. In this role, you will design, develop, and support scalable cloud-based platform services, data pipelines, and applications. You will contribute to modern cloud architectures, microservices, observability capabilities, and full-stack solutions while collaborating with cross-functional engineering teams.

The ideal candidate has strong Python development experience, cloud platform expertise, and the ability to independently design, develop, test, and release features following SDLC best practices.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and microservices supporting real-time and batch processing.
• Design and implement service-oriented and microservices-based architectures.
• Develop robust and scalable services using Python and cloud technologies.
• Contribute to full-stack application development, including front-end and back-end integration.
• Design and develop RESTful APIs for integration across platform services.
• Lead data ingestion and integration from multiple sources into cloud-based platforms.
• Utilize cloud services to build and manage scalable platform solutions.
• Implement data governance, access controls, and security best practices.
• Monitor, optimize, and improve platform performance, scalability, and reliability.
• Develop and maintain unit and functional tests to ensure quality and test coverage.
• Manage source code using GitHub and troubleshoot application defects.
• Support CI/CD processes, Infrastructure as Code (IaC), and automation initiatives.
• Collaborate with architects, software engineers, and cross-functional teams to establish best practices and design standards.
• Automate platform processes to improve operational efficiency and reliability.
• Independently manage feature design, development, testing, and production releases following SDLC best practices.

Required Qualifications

Education

• Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field.
• Master's degree or equivalent experience preferred.

Experience

• 5-8 years of experience as a Software Engineer.
• Minimum 5 years of professional experience with Python.
• Minimum 1 year of experience with Angular, React, or Vue.
• Minimum 3 years of experience with GCP, AWS, or Azure cloud platforms.
• Experience with Service-Oriented Architecture (SOA) and microservices.
• Experience designing and developing RESTful APIs.
• Experience with relational databases such as PostgreSQL or MySQL.
• Experience with NoSQL databases and columnar databases such as BigQuery.
• Experience with Git and CI/CD practices.
• Strong analytical and problem-solving skills.

Preferred Qualifications

• Java experience.
• Experience with GCP services such as BigQuery, Cloud Run, and Pub/Sub.
• Experience with observability platforms such as Dynatrace or Datadog.
• Experience with Java Spring Boot.
• Familiarity with Infrastructure as Code (IaC) tools such as Terraform.
• Knowledge of front-end and back-end technologies including React and Node.js.
• GCP Data Engineer or GCP Professional Cloud certifications.