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Remote Cloud Developer Jobs in Michigan (NOW HIRING)

OneStream Software

Senior SysOps Engineer

Birmingham, MI · Remote

$120K - $149K/yr

Remote, USA Employment Type : Full-Time Compensation : $120,000.00 - $149,000.00 (Range applies to ... A passion for cloud technology, operational excellence, and developing others is critical for ...

OneStream Software

Senior SysOps Engineer

Rochester, MI · Remote

$120K - $149K/yr

Remote, USA Employment Type : Full-Time Compensation : $120,000.00 - $149,000.00 (Range applies to ... A passion for cloud technology, operational excellence, and developing others is critical for ...

StackandCo

$51.75 - $67/hr

You'll get the chance to build their SAAS product, working extensively in the cloud (AWS), Java on ... Remote working is on offer long term, but you must be based in Ireland* \n \n \n \n \n \n The ...

JayesTech LLC

Infor-M3 Developer

Detroit, MI · On-site +1

Remote • XtendM3 certification from Infor. • Experience in developing mashup in multi-tenant ... cloud. • Must have worked in an Infor-M3 environment for over 10 years • Must understand ...

Deloitte

GCP Engineer

Detroit, MI · On-site +1

Develop and support cloud-based data pipelines, platform components, and environment setup ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

2Bridge Partners

Staff Software Engineer

Detroit, MI · On-site +1

$170K - $200K/yr

Design, develop, and maintain complex software systems using C#, .NET, Azure, AWS, or another cloud ... Open to remote or hybrid if in the Detroit metro or Ann Arbor area.

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How much do remote cloud developer jobs pay per hour?

As of May 29, 2026, the average hourly pay for remote cloud developer in Michigan is $53.79, according to ZipRecruiter salary data. Most workers in this role earn between $47.16 and $64.52 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Cloud Developer, and why are they important?

To thrive as a Remote Cloud Developer, you need strong programming skills (such as Python, Java, or Node.js), experience with cloud platforms like AWS, Azure, or Google Cloud, and often a relevant degree or certifications. Familiarity with tools like Docker, Kubernetes, CI/CD pipelines, and cloud-specific services (e.g., AWS Lambda, Azure Functions) is typically required. Excellent problem-solving, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These skills ensure the effective development, deployment, and maintenance of scalable cloud solutions in distributed work environments.

How do Remote Cloud Developers typically collaborate with distributed teams and manage project communication?

Remote Cloud Developers frequently work with geographically dispersed teams, making effective communication and collaboration essential. Most teams rely on tools like Slack, Microsoft Teams, and project management platforms such as Jira or Trello to coordinate tasks, share updates, and resolve issues. Regular stand-up meetings, code reviews, and documentation are important to ensure alignment and maintain code quality. Adapting to asynchronous communication and being proactive about clarifying requirements or roadblocks can help overcome challenges related to time zone differences and remote work dynamics.

What does a Remote Cloud Developer do?

A Remote Cloud Developer is responsible for designing, developing, and maintaining applications and services that run on cloud platforms such as AWS, Azure, or Google Cloud. They work remotely to create scalable, secure, and efficient solutions using cloud technologies, often collaborating with teams through online tools. Their tasks include writing code, integrating APIs, deploying applications, and optimizing cloud resources. This role requires strong programming skills, familiarity with cloud architectures, and the ability to troubleshoot and resolve issues in a distributed environment.

What is the difference between Remote Cloud Developer vs Cloud Engineer?

AspectRemote Cloud DeveloperCloud Engineer
Required CredentialsTypically requires cloud platform certifications (AWS, Azure, GCP), programming skills, and development experienceOften requires similar certifications, with a focus on infrastructure, deployment, and system architecture
Work EnvironmentPrimarily focused on software development, coding, and application deployment in cloud environmentsInvolves designing, implementing, and managing cloud infrastructure and services
Employer & Industry UsageUsed by tech companies, startups, and organizations developing cloud-based applicationsEmployed by cloud service providers, large enterprises, and organizations managing cloud infrastructure
Common Search & Comparison IntentPeople compare these roles to understand development vs infrastructure responsibilities in cloud computing

Remote Cloud Developers focus on coding and deploying cloud applications, while Cloud Engineers handle infrastructure design and management. Both roles require cloud certifications and are integral to cloud-based projects, but they differ in daily tasks and responsibilities.

What are the most commonly searched types of Cloud Developer jobs in Michigan? The most popular types of Cloud Developer jobs in Michigan are:
What are popular job titles related to Remote Cloud Developer jobs in Michigan? For Remote Cloud Developer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Cloud Developer jobs in Michigan look for? The top searched job categories for Remote Cloud Developer jobs in Michigan are:
What cities in Michigan are hiring for Remote Cloud Developer jobs? Cities in Michigan with the most Remote Cloud Developer job openings:
Remote Cloud Developer jobs near you

Google Cloud Platform Data Architect

Reliable Software Resources

Detroit, MI • Remote

$58.25 - $75/hr

Other

Posted yesterday

Job description

Job Role: Google Cloud Platform Data Architect

Location: Detroit, MI

Hire-type: Contract

Experience: 8+ years  |  Detroit, MI (mandatory) — Remote up to 50% travel  

Python

Google Cloud Platform Native

Data Warehousing

BigQuery

Data Modeling

ETL / ELT Pipelines

ABOUT THE ROLE

As a Google Cloud Platform Data Architect at DataFactZ you will own the end-to-end design of cloud-native data warehouse and data platform solutions on Google Cloud. You will define data architecture standards, establish data modeling patterns, and lead the design of scalable ingestion and transformation pipelines — working hands-on with engineering teams to deliver production-grade data systems for enterprise clients.

 

KEY RESPONSIBILITIES

•      Architect enterprise data warehousing solutions on Google Cloud Platform using BigQuery as the primary analytical platform, including logical and physical data model design

•      Design and implement data modeling patterns: star schema, snowflake, data vault, and wide-table approaches optimized for BigQuery performance and cost

•      Define lakehouse architectures across BigQuery and Cloud Storage using Parquet, Avro, and ORC formats with appropriate partitioning and clustering strategies

•      Lead the design of batch and streaming ingestion pipelines using Dataflow (Apache Beam), Dataproc (PySpark), Pub/Sub, and BigQuery Data Transfer Service

•      Establish transformation layer standards using dbt or Python-based ELT patterns within BigQuery

•      Design pipeline orchestration frameworks using Cloud Composer (Airflow) for complex multi-step workflows

•      Define data governance standards: schema management, data lineage, access controls, and partitioning policies across Google Cloud Platform projects

•      Lead technical discovery with client stakeholders, produce architecture decision records, and translate business requirements into data platform designs

•      Mentor data engineers and ensure adherence to architecture standards across delivery teams

 

REQUIRED SKILLS

•      Python: Advanced proficiency for pipeline development, data transformation scripts, and Google Cloud Platform SDK/API integrations

•      Google Cloud Platform expertise: Deep hands-on experience with BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, Cloud Composer, and Cloud SQL

•      Data warehousing: Proven experience designing enterprise-scale data warehouses with dimensional and vault modeling techniques

•      Data modeling: Strong ability to design logical and physical models for analytical and operational workloads on BigQuery

•      ETL/ELT pipelines: Designing and overseeing large-scale batch and streaming data pipelines for structured and semi-structured data

•      SQL: Expert-level BigQuery SQL including window functions, nested/repeated fields, partitioning, and query optimization

•      Leadership: Ability to lead architecture decisions, align cross-functional teams, and mentor engineers

 

PREFERRED

•      Google Cloud Platform certifications: Professional Data Engineer or Professional Cloud Architect

•      Experience with dbt Cloud for BigQuery transformation and documentation

•      Familiarity with data catalog tools: Dataplex, Data Catalog, or Collibra on Google Cloud Platform

•      Exposure to real-time analytics patterns using BigQuery streaming inserts or Bigtable

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