Full Stack Software Developer

Epitec, Inc.
Troy, MI, United States
7 days ago
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Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Experience required
1 year minimum
Compensation
$124,800.0 - $145,600.0
Working hours
Regular working hours

Tech stack

HTML Java (Programming Language) JavaScript (Programming Language) Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Amazon Web Services Applications Architecture Cascading Style Sheets (CSS) Cloud Computing Cloud Storage Code Review
+33 more
Computer Programming Continuous Integration Data Integration Software Debugging Infrastructure as a Service (IaaS) JSON Python (Programming Language) Machine Learning Object-Oriented Software Development Role-Based Access Control Swagger Secure Coding Software Engineering SQL Databases TypeScript Openapi Private Cloud Environment Google Cloud ReactJS Prompt Engineering Spring-boot Git Event Driven Architecture Containerization AngularJS Solid Principles Kubernetes Information Technology Restful APIs Terraform Software Version Control Data Pipelines Docker

Job description

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  • About
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  • Terms of Service, This role will work within a cross-functional Agile team to build cloud-native services data integrations user-facing capabilities and platform observability.

The developer will receive technical direction from senior engineers and architects while progressively taking ownership of well-defined platform components and features.

Employees in this job function are responsible for designing building and deploying cloud-based infrastructure and managed services to achieve scalability flexibility and cost efficiencies for private and public cloud systems that support the business. They are focused on created opinionated cloud environments and systems like Storage as a service Infrastructure as a service etc. that form building blocks used by other enterprise and product teams.

Requirements

Software Development, Software Development, Statement of Work (SOW), Agile Programming Methodologies, Cloud Computing, Cross-Functional, Public Cloud, Building Design, Infrastructure as a Service (IaaS), Private Cloud, Experience Required: Bachelor¿s degree in computer science software engineering information technology or a related discipline or equivalent practical experience.

Approximately 4¿7 years of Full Stack software development experience.

Programming experience in one or more relevant languages such as: Python Java JavaScript or TypeScript

Experience developing or consuming REST APIs and working with structured data formats such as JSON.

Understanding of object-oriented programming software design principles and common application architecture patterns.

Experience with relational databases SQL and basic data modeling. Experience using Git-based source control and participating in peer code reviews. Familiarity with automated unit and integration testing. Basic understanding of cloud computing containerization and CI/CD practices.

Ability to diagnose software issues using application logs and debugging tools.

Strong written and verbal communication skills.

Ability to work collaboratively with product owners architects engineers data specialists testers and operations teams.

Experience with Angular JS HTML CSS Java Spring Boot SQL Python. Extensive experience with GCP/AWS.

Experience Preferred:

Experience with Google Cloud Platform services such as Google Kubernetes Engine Pub/Sub Cloud Storage or Cloud SQL.

Experience with Docker Kubernetes Terraform or similar cloud-native technologies.

Experience developing frontend applications using React and TypeScript. Familiarity with event-driven architecture asynchronous processing and data pipelines.

Experience implementing platform observability using logs metrics traces dashboards and alerting.

Familiarity with OpenTelemetry or comparable observability standards and tooling.

Experience with API specifications and tools such as OpenAPI or Swagger.

Familiarity with authentication authorization role-based access control and secure coding practices.

Experience integrating AI or machine-learning services through APIs.

Familiarity with prompt management AI response validation confidence scoring or human-feedback capture.

Experience working with telemetry automotive diagnostics connected-vehicle data manufacturing information or engineering lifecycle systems.

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