ZipRecruiter

Log In

1

Backend Software Engineer Intern Jobs in Michigan

Ford Motor Company

FPI Backend Engineer

Dearborn, MI · Hybrid

The Software Engineer will work on a backend software engineering team and collaborate with the other Software Engineers, Designers, and Product Managers to deliver connected back-end services that ...

2Bridge Partners

Staff Software Engineer

Detroit, MI · On-site +1

$170K - $200K/yr

Minimum of 8 years working as a Backend Software Engineer in C#, .net, Python, Java, or other relevant languages. * Mastery of an object-oriented language, associated frameworks, and architecture.

FastTek

Back-end Software Development Engineer

Dearborn, MI · On-site

$47.50 - $65.25/hr

Back-end Software Development Engineer #1060508 * At our company, we're not just building vehicles--we're redefining the future of connected mobility. * The Device Connectivity Platform Engineering ...

Ford Motor Company

Software Engineer

Dearborn, MI · Hybrid

The Software Engineer will work on a back-end software engineering team and collaborate with the other Software Engineers, Designers, and Product Managers to deliver connected back-end services that ...

Stefanini

Backend Developer

Dearborn, MI · On-site

... software engineering with a focus on cloud-native services on Google Cloud Platform or equivalent cloud platforms.Proficiency in Python, C++, and Java for backend service development.Experience ...

previous pagenext page

Showing results 21-40

All JobsBackend Software Engineer Intern JobsBackend Software Engineer Intern Jobs in Michigan

Backend Software Engineer Intern information

What is the difference between Backend Software Engineer Intern vs Backend Software Engineer?

AspectBackend Software Engineer InternBackend Software Engineer
QualificationsTypically pursuing or recently completed a degree in CS or related fieldBachelor's or higher in CS or related field, with relevant experience
Work EnvironmentInternship programs, learning-focused, supervisedFull-time professional role, responsible for developing and maintaining backend systems
ResponsibilitiesAssist in coding, testing, and debugging under supervisionDesign, implement, and optimize backend services independently
Usage in IndustryEntry-level position for students or recent gradsCore role in software development teams

The main difference between a Backend Software Engineer Intern and a Backend Software Engineer lies in experience, responsibilities, and employment status. Interns are typically students gaining practical experience, while Backend Software Engineers are full-time professionals responsible for core backend development tasks.

What does a backend software engineer intern do?

A Backend Software Engineer Intern assists in developing and maintaining the server-side logic, databases, and APIs that power web and mobile applications. They work closely with senior engineers to write efficient code, troubleshoot issues, and ensure smooth data flow between users and servers. Interns may also participate in code reviews, testing, and documentation to support the overall software development process. This role provides hands-on experience with backend frameworks, database management, and industry best practices.

What skills and qualifications are needed to thrive as a backend software engineer intern?

To thrive as a Backend Software Engineer Intern, you typically need a solid understanding of programming languages like Java, Python, or Node.js, along with knowledge of data structures, algorithms, and database fundamentals. Familiarity with version control systems (like Git), RESTful APIs, and cloud platforms such as AWS or Azure is often required. Strong problem-solving skills, attention to detail, and effective communication help interns stand out in team settings. These competencies are crucial for building reliable backend services, collaborating efficiently, and contributing meaningful code in a fast-paced development environment.

What types of projects and responsibilities can I expect as a backend software engineer intern?

As a Backend Software Engineer Intern, you'll typically work on tasks such as designing and implementing APIs, optimizing database queries, and supporting the integration of backend services. Interns often collaborate closely with senior engineers, participate in code reviews, and contribute to team meetings and sprint planning. While you'll be given guidance and mentorship, you'll also be encouraged to take ownership of smaller features or bug fixes within larger projects, providing valuable hands-on experience with scalable systems. This role offers insight into how backend systems are architected and maintained in a real-world environment.
What are the most commonly searched types of Backend Software Engineer jobs in Michigan? The most popular types of Backend Software Engineer jobs in Michigan are:
What are popular job titles related to Backend Software Engineer Intern jobs in Michigan? For Backend Software Engineer Intern jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Backend Software Engineer Intern jobs in Michigan look for? The top searched job categories for Backend Software Engineer Intern jobs in Michigan are:
What cities in Michigan are hiring for Backend Software Engineer Intern jobs? Cities in Michigan with the most Backend Software Engineer Intern job openings:
Backend Software Engineer Intern jobs near you
Infographic showing various Backend Software Engineer Intern job openings in Michigan as of August 2026, with employment types broken down into 1% Internship, 84% Full Time, 9% Part Time, 1% Temporary, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Back-end Software Development Engineer

FastTek

Dearborn, MI

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago

Job description

Back-end Software Development Engineer #1054992
Job Description:
  • Employees in this job function are responsible for designing, building, and operating high-throughput backend systems that ingest, process, and serve large volumes of telematics data from connected vehicle fleets.
  • They work at the intersection of distributed systems, data engineering, and API development — delivering reliable, low-latency services that power fleet intelligence products for commercial and enterprise customers.
  • Design and develop scalable, high-performance backend services and APIs that process and expose telematics data — including GPS, trip events, driver behavior, vehicle diagnostics, and sensor telemetry — at fleet scale Build and maintain real-time and batch data pipelines that ingest high-volume vehicle event streams from messaging systems (e.g., Pub/Sub, Kafka) into data warehouses and operational stores

Skills Required:
GCP, Big Data, Artificial Intelligence & Expert Systems, API
  • GCP - Experience deploying and managing services on Google Cloud Platform, including Compute Engine, Cloud Storage, IAM, and Cloud Functions. For example, designing and implementing a cloud-native application architecture using GKE (Google Kubernetes Engine) with Cloud SQL and Pub/Sub.
  • Big Data - Experience working with large-scale data processing frameworks such as Apache Spark, Dataflow, or BigQuery. For example, building ETL pipelines that process terabytes of daily event data and transform it for downstream analytics.
  • Artificial Intelligence & Expert Systems - Experience developing or integrating AI/ML models and rule-based expert systems. For example, building a classification model using Vertex AI to predict customer churn, or implementing a rule engine that automates underwriting decisions.
  • API - Experience designing, building, and consuming RESTful or gRPC APIs. For example, developing a versioned REST API with OAuth 2.0 authentication that serves as the integration layer between a mobile application and backend microservices.

Skills Preferred:
Google Cloud Platform
  • Google Cloud Platform - Familiarity with advanced GCP services beyond core compute and storage, such as Vertex AI, Dataflow, Cloud Composer (Airflow), and BigQuery ML. For example, using Cloud Composer to orchestrate scheduled data pipelines that feed into a BigQuery data warehouse.

Experience Required:
  • Senior Engineer Exp: Prac. In 2 coding lang. or adv. Prac. in 1 lang.; guides.
  • 7+ years in IT
  • 5+ years in development

Experience Preferred:
  • Languages: Kotlin, Java, Python, or equivalent JVM/backend language
  • Frameworks: Spring Boot, gRPC, REST API design Data: BigQuery, PostgreSQL, Redis, Bigtable, Kafka or Pub/Sub Infrastructure: GCP (or equivalent), Docker, Kubernetes, CI/CD pipelines
  • Practices: TDD, MLOps-adjacent data pipeline patterns, database performance tuning, API versioning

Education Required:
  • Bachelor's Degree

Education Preferred:
  • Certification Program

Additional Information:
  • Architect and optimize data access layers across heterogeneous storage systems — including relational databases (PostgreSQL, Cloud SQL), columnar warehouses (BigQuery), in-memory caches (Redis), and wide-column stores (Bigtable) — selecting the appropriate store for each access pattern
  • Collaborate with data engineers and analysts to design stored procedures, views, and query patterns in analytical databases that meet strict latency and throughput SLAs for reporting endpoints
  • Implement data aggregation, transformation, and enrichment logic — including time-series rollups, geo-spatial calculations, and unit/timezone conversions — to produce accurate, consistent reporting outputs
  • Build and enforce data contracts and schema evolution strategies to ensure backward compatibility and stability across upstream producers and downstream
  • API consumers Integrate backend services with cloud-native infrastructure (GCP, AWS, or Azure) including event-driven architectures, scheduled jobs, serverless functions, and container orchestration platforms (Kubernetes/GKE)
  • Instrument services with observability tooling — structured logging, distributed tracing, and metrics — and participate in on-call rotations to maintain high availability and reliability targets (SLO/SLA)
  • Apply security best practices including authorization scoping (e.g., segment- or fleet-scoped data access), secrets management, and data privacy controls in compliance with automotive and enterprise data regulations
  • Partner with product, data science, and platform teams in an agile delivery model — contributing to technical design reviews, code reviews, and architectural decisions for new capabilities on the telematics platform

Additional Info:
At FastTek Global, Our Purpose is Our People and Our Planet. We come to work each day and are reminded we are helping people find their success stories. Also, Doing the right thing is our mantra. We act responsibly, give back to the communities we serve and have a little fun along the way.
We have been doing this with pride, dedication and plain, old-fashioned hard work for 24 years!
FastTek Global is financially strong, privately held company that is 100% consultant and client focused.
We've differentiated ourselves by being fast, flexible, creative and honest. Throw out everything you've heard, seen, or felt about every other IT Consulting company. We do unique things and we do them for Fortune 10, Fortune 500, and technology start-up companies.
Our benefits are second to none and thanks to our flexible benefit options you can choose the benefits you need or want, options include:
  • Medical and Dental (FastTek pays majority of the medical program)
  • Vision
  • Personal Time Off (PTO) Program
  • Long Term Disability (100% paid)
  • Life Insurance (100% paid)
  • 401(k) with immediate vesting and 3% (of salary) dollar-for-dollar match

Plus, we have a lucrative employee referral program and an employee recognition culture.
FastTek Global was named one of the Top Work Places in Michigan by the Detroit Free Press in 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, and 2023!
To view all of our open positions go to: https://www.fasttek.com/fastswitch/findwork
Follow us on Twitter: https://twitter.com/fasttekglobal
Follow us on Instagram: https://www.instagram.com/fasttekglobal
Find us on LinkedIn: https://www.linkedin.com/company/fasttek
You can become a fan of FastTek on Facebook: https://www.facebook.com/fasttekglobal/
AI & Hiring Disclosure
We use AI tools to support parts of our hiring process, such as reviewing applications and identifying potential matches. These tools are designed to promote efficiency, consistency, and fairness, and they are always used under human oversight.
All personal data collected is used solely for recruitment purposes, and you have the right to know, access, or request deletion of your data at any time, subject to legal limits.
If AI will be used in a video interview, you'll be informed in advance and asked for your consent, with the option to opt out.
Our tools are regularly reviewed to detect potential bias and to ensure compliance with all applicable laws and our commitment to inclusive hiring.
To learn more or exercise your rights, please contact us at info@fasttek.com.