Highlights
Founded in 1998 and headquartered in Farmington Hills, MI, Kyyba has a global presence delivering high-quality resources and top-notch recruiting services, enabling businesses to effectively respond to organizational changes and technological advances. A key focus is embedding AI/GenAI capabilities (e.g., Gemini Enterprise, Model Context Protocol, Dataplex, and Knowledge Catalog) into how engineering teams design, build, secure, and operate intelligent data systems at scale.
Numbers & Facts
| Location | Dearborn, MI (Remote) |
| Industry | Staffing/Employment Agencies |
| Company Size | 100 to 499 employees |
| Year Founded | 1998 |
| Website | http://www.kyyba.com/ |
Description
Job Title: Cloud Engineering Engineer 3
About Kyyba:
Founded in 1998 and headquartered in Farmington Hills, MI, Kyyba has a global presence delivering high-quality resources and top-notch recruiting services, enabling businesses to effectively respond to organizational changes and technological advances.
At Kyyba, the overall well-being of our employees and their families is important to us. We are proud of our work culture which embodies our core values; incorporating value, passion, excellence, empowerment, and happiness, creates a vibrant and productive atmosphere. We empower our employees with the resources, incentives, and flexibility that they need to support a healthy, balanced, and fulfilling career by providing many valuable benefits and a balanced compensation structure combined with career development.
Job Description
We are seeking a Senior Cloud Database Engineer with 5+ years of experience to join our Platform Engineering team. This role focuses on defining strategy, architecture, and standardized “golden paths” for cloud databases and the AI journey on Google Cloud Platform (GCP). This position extends beyond traditional database administration. You will act as a technical leader and pattern owner, shaping the vision and roadmap for our database platform. A key focus is embedding AI/GenAI capabilities (e.g., Gemini Enterprise, Model Context Protocol, Dataplex, and Knowledge Catalog) into how engineering teams design, build, secure, and operate intelligent data systems at scale. Key Responsibilities 1. AI-Driven Database Innovation GenAI Productivity: Lead adoption of Gemini Enterprise for tasks such as query generation, debugging, and schema optimization. Contextual AI Patterns: Define patterns for integrating Model Context Protocol (MCP) with databases for contextual AI interactions. Intelligent Automation: Identify and implement AI-driven automation across the lifecycle, including capacity planning, anomaly detection, and self-tuning. AI/ML Collaboration: Partner with AI/ML teams to embed ML, statistical models, and GenAI into data platform strategies. Agent Development: Build intelligent agents on database AI frameworks to deliver business value, improve fault detection, and reduce OLTP costs. 3. Metadata, Governance & Compliance Metadata & Discovery: Establish enterprise standards for metadata, including tagging, classification, lineage, and discoverability. Data-as-a-Product: Promote well-documented, discoverable, and consumable datasets. Security & Compliance: Align with frameworks such as GDPR and HIPAA; manage GCP IAM, service accounts, role bindings, and encryption. Implement secure agent practices (e.g., OBO, authorization). 4. Database SRE & Performance Engineering SRE: Apply reliability practices to ensure availability, fault tolerance, and disaster recovery. Performance Tuning: Lead query optimization, indexing strategies, and troubleshooting across distributed systems. DevSecOps: Enable secure CI/CD pipelines for database code and configurations. 5. Database Architecture, IaC & Platform Strategy Define Golden Paths: Establish scalable, secure, self-service database architectures and roadmaps on GCP. Infrastructure as Code: Build and maintain Terraform templates for automated provisioning and lifecycle management. Multi-Engine & Serverless Integration: Architect across SQL (SQL Server, PostgreSQL, MySQL, AlloyDB, Spanner) and NoSQL (MongoDB, Firestore, Bigtable, Memorystore, Neo4j) with Cloud Functions and Cloud Run. Data Modeling & ETL: Develop complex data models and reliable ETL pipelines integrating multiple data sources. 6. Cross-Team Leadership & Enablement Thought Leadership: Advise engineering, data, and AI teams on best practices. Culture & Mentorship: Foster an AI-assisted, platform-first culture and mentor engineers. Required Qualifications Experience: 5+ years in database engineering with GCP AI enablement focus. AI/GenAI Familiarity: Experience with Gemini Enterprise (or similar) and understanding of MCP or equivalent patterns. Data Governance: Experience with Dataplex and Knowledge Catalog for metadata and lineage. Multi-Engine Proficiency: Hands-on experience with GCP databases including Cloud SQL, AlloyDB, Spanner, Firestore, Memorystore, MongoDB, and BigQuery. Security & DevSecOps: Knowledge of GCP IAM, encryption, and CI/CD practices. Preferred Qualifications Platform Engineering: Experience building Internal Developer Platforms (IDPs). Certifications: GCP Professional Cloud Database Engineer or Data Engineer. Automation & Coding: Proficiency in Terraform and programming (Python/Java). Cloud-Native Ecosystems: Experience with Kubernetes (GKE) and database operators. Advanced Analytics: Understanding of statistical analysis, data modeling, and ML libraries.
Skills Required:
GCP
Skills Preferred:
Artificial Intelligence & Expert Systems
Experience Required:
Engineer 3 Exp: Prac. In 2 coding lang. or adv. Prac. in 1 lang. 6+ years in IT; 4+ years in development
Experience Preferred:
0
Education Required:
Bachelor's Degree
Education Preferred:
Certification Program
Additional Information:
Remote Position Will be required to attend team collaboration meetings on site, maybe once every two weeks Job Title: Senior Cloud Database Engineer (GCP, AI, & Platform Strategy) Key Responsibilities 1. AI-Driven Database Innovation GenAI Productivity: Lead the adoption of Gemini Enterprise for database engineering productivity (e.g., automated query writing, debugging, and schema optimization). Contextual AI Patterns: Define and implement patterns for integrating the Model Context Protocol (MCP) with databases to enable seamless, contextual AI interactions. Intelligent Automation: Identify and deploy AI-driven automation opportunities across the database lifecycle, including predictive capacity planning, anomaly detection, and self-tuning. AI/ML Collaboration: Partner with AI/ML teams to embed machine learning libraries, statistical modeling, and GenAI capabilities into broader data platform strategies. Agent Development: Build agents on top of database AI framework that drive business value fault detection and cost reduction in the OLTP space at source and instant value realization.
Location: (Dearborn, MI)
Disclaimer:
Kyyba is an Equal Opportunity Employer.
Kyyba does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, ag e, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. Minorities / Females / Protected Veterans / Individuals with Disabilities are encouraged to apply. All employment is decided on the basis of qualifications, merit, and business need.”
It is the policy of Kyyba to provide reasonable accommodation when requested by a qualified applicant or employee with a disability, unless such accommodation would cause an undue hardship. The policy regarding requests for reasonable accommodation applies to all aspects of employment, including the application process. If reasonable accommodation is needed, please contact Kyyba at 248-813-9665
Rewards:
Medical, dental, vision
401k
Term life
Voluntary life and disability insurance
Optional Pre-paid legal plan
Optional Identity theft plan
Optional Medical and dependent FSA
Work-visa sponsorship
Opportunity for advancement
Long-term assignment with opportunity for hire by client
SELECT AWARDS
About Kyyba:
Founded in 1998 and headquartered in Farmington Hills, MI, Kyyba has a global presence delivering high-quality resources and top-notch recruiting services, enabling businesses to effectively respond to organizational changes and technological advances.
At Kyyba, the overall well-being of our employees and their families is important to us. We are proud of our work culture which embodies our core values; incorporating value, passion, excellence, empowerment, and happiness, creates a vibrant and productive atmosphere. We empower our employees with the resources, incentives, and flexibility that they need to support a healthy, balanced, and fulfilling career by providing many valuable benefits and a balanced compensation structure combined with career development.
Job Description
We are seeking a Senior Cloud Database Engineer with 5+ years of experience to join our Platform Engineering team. This role focuses on defining strategy, architecture, and standardized “golden paths” for cloud databases and the AI journey on Google Cloud Platform (GCP). This position extends beyond traditional database administration. You will act as a technical leader and pattern owner, shaping the vision and roadmap for our database platform. A key focus is embedding AI/GenAI capabilities (e.g., Gemini Enterprise, Model Context Protocol, Dataplex, and Knowledge Catalog) into how engineering teams design, build, secure, and operate intelligent data systems at scale. Key Responsibilities 1. AI-Driven Database Innovation GenAI Productivity: Lead adoption of Gemini Enterprise for tasks such as query generation, debugging, and schema optimization. Contextual AI Patterns: Define patterns for integrating Model Context Protocol (MCP) with databases for contextual AI interactions. Intelligent Automation: Identify and implement AI-driven automation across the lifecycle, including capacity planning, anomaly detection, and self-tuning. AI/ML Collaboration: Partner with AI/ML teams to embed ML, statistical models, and GenAI into data platform strategies. Agent Development: Build intelligent agents on database AI frameworks to deliver business value, improve fault detection, and reduce OLTP costs. 3. Metadata, Governance & Compliance Metadata & Discovery: Establish enterprise standards for metadata, including tagging, classification, lineage, and discoverability. Data-as-a-Product: Promote well-documented, discoverable, and consumable datasets. Security & Compliance: Align with frameworks such as GDPR and HIPAA; manage GCP IAM, service accounts, role bindings, and encryption. Implement secure agent practices (e.g., OBO, authorization). 4. Database SRE & Performance Engineering SRE: Apply reliability practices to ensure availability, fault tolerance, and disaster recovery. Performance Tuning: Lead query optimization, indexing strategies, and troubleshooting across distributed systems. DevSecOps: Enable secure CI/CD pipelines for database code and configurations. 5. Database Architecture, IaC & Platform Strategy Define Golden Paths: Establish scalable, secure, self-service database architectures and roadmaps on GCP. Infrastructure as Code: Build and maintain Terraform templates for automated provisioning and lifecycle management. Multi-Engine & Serverless Integration: Architect across SQL (SQL Server, PostgreSQL, MySQL, AlloyDB, Spanner) and NoSQL (MongoDB, Firestore, Bigtable, Memorystore, Neo4j) with Cloud Functions and Cloud Run. Data Modeling & ETL: Develop complex data models and reliable ETL pipelines integrating multiple data sources. 6. Cross-Team Leadership & Enablement Thought Leadership: Advise engineering, data, and AI teams on best practices. Culture & Mentorship: Foster an AI-assisted, platform-first culture and mentor engineers. Required Qualifications Experience: 5+ years in database engineering with GCP AI enablement focus. AI/GenAI Familiarity: Experience with Gemini Enterprise (or similar) and understanding of MCP or equivalent patterns. Data Governance: Experience with Dataplex and Knowledge Catalog for metadata and lineage. Multi-Engine Proficiency: Hands-on experience with GCP databases including Cloud SQL, AlloyDB, Spanner, Firestore, Memorystore, MongoDB, and BigQuery. Security & DevSecOps: Knowledge of GCP IAM, encryption, and CI/CD practices. Preferred Qualifications Platform Engineering: Experience building Internal Developer Platforms (IDPs). Certifications: GCP Professional Cloud Database Engineer or Data Engineer. Automation & Coding: Proficiency in Terraform and programming (Python/Java). Cloud-Native Ecosystems: Experience with Kubernetes (GKE) and database operators. Advanced Analytics: Understanding of statistical analysis, data modeling, and ML libraries.
Skills Required:
GCP
Skills Preferred:
Artificial Intelligence & Expert Systems
Experience Required:
Engineer 3 Exp: Prac. In 2 coding lang. or adv. Prac. in 1 lang. 6+ years in IT; 4+ years in development
Experience Preferred:
0
Education Required:
Bachelor's Degree
Education Preferred:
Certification Program
Additional Information:
Remote Position Will be required to attend team collaboration meetings on site, maybe once every two weeks Job Title: Senior Cloud Database Engineer (GCP, AI, & Platform Strategy) Key Responsibilities 1. AI-Driven Database Innovation GenAI Productivity: Lead the adoption of Gemini Enterprise for database engineering productivity (e.g., automated query writing, debugging, and schema optimization). Contextual AI Patterns: Define and implement patterns for integrating the Model Context Protocol (MCP) with databases to enable seamless, contextual AI interactions. Intelligent Automation: Identify and deploy AI-driven automation opportunities across the database lifecycle, including predictive capacity planning, anomaly detection, and self-tuning. AI/ML Collaboration: Partner with AI/ML teams to embed machine learning libraries, statistical modeling, and GenAI capabilities into broader data platform strategies. Agent Development: Build agents on top of database AI framework that drive business value fault detection and cost reduction in the OLTP space at source and instant value realization.
Location: (Dearborn, MI)
Disclaimer:
Kyyba is an Equal Opportunity Employer.
Kyyba does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, ag e, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. Minorities / Females / Protected Veterans / Individuals with Disabilities are encouraged to apply. All employment is decided on the basis of qualifications, merit, and business need.”
It is the policy of Kyyba to provide reasonable accommodation when requested by a qualified applicant or employee with a disability, unless such accommodation would cause an undue hardship. The policy regarding requests for reasonable accommodation applies to all aspects of employment, including the application process. If reasonable accommodation is needed, please contact Kyyba at 248-813-9665
Rewards:
Medical, dental, vision
401k
Term life
Voluntary life and disability insurance
Optional Pre-paid legal plan
Optional Identity theft plan
Optional Medical and dependent FSA
Work-visa sponsorship
Opportunity for advancement
Long-term assignment with opportunity for hire by client
SELECT AWARDS
- An INC 5000 company for 10 years
- Corp! Michigan Economic Bright Spots
- Crain’s Detroit Business Top Staffing Service Companies in Detroit
- TechServe Alliance Excellence Award- IT and Engineering Staffing & Solutions
- Best of MichBusiness winner in HR Wizards & Partnerships
- Metro Detroit Elite Category: Recruitment, Selection & Orientation for 101 Best & Brightest
- 101 Best & Brightest Companies to Work for in Michigan
About Company
Kyyba group of companies are privately held and specialize in staff augmentation, application software and project solutions. In operation for more than 15 years, we have earned an enviable track record and reputation within all the industries we serve. Our unique processes and maturity enables us to understand the needs of the business organizations and provide business solutions that match the real and compelling needs of our customers.
Headquartered in Michigan, Kyyba has multiple office locations and we serve local, regional and national client base consisting of Fortune 500 and middle market companies. Kyyba extends the above solutions and services to a broad spectrum of industry verticals ranging from automotive, insurance, technology, financial, transportation, government and so on.
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