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Gcp Developer Operations Jobs in Minnesota (NOW HIRING)

... GCP (preferred) or AWS/Azure Deploying AI solutions in cloud-native environments Understanding of scalability, performance, and cost optimization 7. DevOps & Production Readiness Experience with CI ...

GCP Cloud Architect

Eagan, MN · Remote

$100 - $110/hr

... engineers and management. • Manage Vendors -- Interface with vendors to ensure standard ... operations. • Communicate -- Translate complex technical concepts for both technical teams and ...

Cloud Platform Engineer

New Prague, MN · On-site

$54 - $72.25/hr

AWS/GCP Professional DevOps or Security Engineer; CISSP a plus * 5+ years of experience in designing, developing production REST APIs (e.g., Python/Node/Java) * Strong analytical, problem-solving ...

Sr Databricks Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Oversee the implementation of CI/CD practices with tools such as Azure DevOps, AWS Code Pipeline ... GCP) Experience with Lakehouse architecture, Apache Spark, Delta Lake, cloud-native databases ...

Cloud Engineer (SME)

Virginia, MN · On-site

$150 - $200/hr

... GCP. * Advanced proficiency with Infrastructure as Code (IaC) tools and practices (Terraform, Ansible, Python). * Strong foundation in Agile, Scrum methodologies, and a DevOps culture, with an ...

Cloud Security Engineer/Architect (Remote)

Eagan, MN · Remote

$66.75 - $88.75/hr

... or GCP. * AI-Native Security Strategy: Architect specialized security frameworks for AI/ML ... Act as the lead security advisor for the Cloud Architecture team, bridging the gap between DevOps ...

Lead AI Forward Engineer

Eagan, MN

$104K - $137K/yr

Collaborate with Cloud Engineers (AWS, Azure and GCP) and SREs to align AI observability with ... Experience with DevOps/Platform Engineering/SRE principles and designing for operational excellence.

Lead AI Forward Engineer

Eagan, MN · On-site

$104K - $137K/yr

Collaborate with Cloud Engineers (AWS, Azure and GCP) and SREs to align AI observability with ... Experience with DevOps/Platform Engineering/SRE principles and designing for operational excellence.

Build andmaintainthe DevOps infrastructure and toolchain that enables developer productivity and ... Experience with cloud platforms (GCP, AWS, or Azure) and modern data infrastructure * Demonstrated ...

Senior Data Engineer

Minneapolis, MN · On-site

$125 - $150/hr

... GCP), utilizing services like BigQuery, Dataflow, and Cloud Storage to handle diverse data sources ... Partner with DevOps and Technology teams to automate infrastructure provisioning, CI/CD processes ...

Senior Data Engineer

Minneapolis, MN · Hybrid

$115K - $144K/yr

Architect, build, and maintain scalable data pipelines on Google Cloud Platform (GCP), utilizing ... Partner with DevOps and Technology teams to automate infrastructure provisioning, CI/CD processes ...

Senior Data Engineer

Minneapolis, MN · On-site

$125 - $150/hr

... GCP), utilizing services like BigQuery, Dataflow, and Cloud Storage to handle diverse data sources ... Partner with DevOps and Technology teams to automate infrastructure provisioning, CI/CD processes ...

Senior Software Engineer

Golden Valley, MN · On-site +1

$97K - $150K/yr

Contribute to and help advance CI/CD, DevOps, monitoring, logging, and deployment reliability ... Strong background in cloud-native software development using Azure, AWS, or GCP, including compute ...

Showing results 21-40

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Infographic showing various Gcp Developer Operations job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 12% Part Time, 1% Temporary, 3% Contract, and 2% Nights. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution.

AI/ML Engineer

Digital Links Inc

Minneapolis, MN • On-site

Contractor

Re-posted 16 days ago


Job description

Job Description:

 
Role: AI/ML Engineer 
Duration: 3-month contract (Could be extended for 6 months before conversion)
Location: Minneapolis, MN (Remote/hybrid)
 
Role Objective
We are seeking a hands-on AI/ML Engineer to design, build, and deploy production-grade AI solutions. This role requires strong expertise in Generative AI, RAG (Retrieval-Augmented Generation), and enterprise integrations. The ideal candidate should be capable of independently delivering scalable AI systems aligned with business use cases.
 
Must-Have Skills (Non-Negotiable)
1. Core AI/ML Engineering
Strong proficiency in Python (NumPy, Pandas, PyTorch/TensorFlow)
Experience building and deploying end-to-end ML/AI systems
Ability to take solutions from prototype to production
2. Generative AI & LLMs
Hands-on experience with LLMs (OpenAI, Vertex AI, etc.)
Strong prompt engineering and evaluation techniques
Experience building enterprise-grade GenAI applications
3. RAG (Critical Requirement)
Proven experience designing and implementing RAG architectures
Experience with vector databases (Pinecone, Weaviate, etc.)
Ability to integrate domain-specific data into AI systems
4. Agentic AI / AI Agents
Experience building AI agents / multi-agent systems
Familiarity with orchestration frameworks and modern agent SDKs
5. API & Backend Development
Strong experience with FastAPI or Flask
Ability to build scalable AI services and APIs
6. Cloud & Deployment (GCP Preferred)
Experience with GCP (preferred) or AWS/Azure
Deploying AI solutions in cloud-native environments
Understanding of scalability, performance, and cost optimization
7. DevOps & Production Readiness
Experience with CI/CD (GitLab, Jenkins)
Infrastructure as Code (Terraform/Ansible)
Monitoring, logging, and AI observability
 
Nice-to-Have (Strong Plus)
Experience in education / digital learning platforms
Exposure to regulated environments
Knowledge of TypeScript / Java / SQL
Experience integrating AI into enterprise systems
 
Experience Required
5+ years in Software Engineering / AI/ML
Proven track record of:
Delivering production AI systems
Working in Agile cross-functional teams
Driving solutions with minimal oversight