Principal Manager, Cloud Engineering
Promevo · Remote, US
Apply directly on Promevo’s careers site — no account needed.
About the role
Promevo, LLC was founded in 2001 by a group of experienced systems integration, application development, and systems administration specialists in Cincinnati, OH.
We are Promevo!
The name Promevo is derived from the Latin words promoveo, meaning "to move ahead" and promereo, meaning "to earn". It’s our name, but it’s also our purpose. We move clients ahead in technology, enabling their competitive advantage and we earn their trust with our technical excellence and dedication to their success. We believe that digital solutions shouldn’t be something our clients need to adapt to, instead we make digital solutions adapt to client needs.
Promevo is a Google Premier Partner for Google Workspace, Google Cloud, and Google Chrome, specializing in helping businesses harness the power of Google and the opportunities of AI. From technical support and implementation to expert consulting and custom solutions like gPanel, we empower organizations to optimize operations and accelerate growth in the AI era.
In addition to Google technology, Promevo's SaaS Platform (gPanel) provides our clients with a centralized user management interface providing administrators with visibility and control over all of their users' data and settings with its robust suite of security features. We walk alongside our clients to help them achieve their digital transformation and infrastructure goals by providing Professional Services such as migrations, custom app development, fast track deployments, and white glove services.
We are seeking a Principal Manager, Cloud Engineering to lead, scale, and inspire our elite technical delivery team. In this high-visibility, hybrid “player-coach” role, you will bridge the gap between high-level technical strategy and daily operational execution. You will champion modern cloud practices and AI-driven infrastructure, guiding our engineering vision while staying hands-on with high-impact project delivery. You will be responsible for team mentorship, strategic engineering oversight, and serving as the primary technical escalation point for our enterprise clients.
By joining the Promevo Team, you will find that our company culture is at the heart of our success. Promevo’s core values center around building trust, investing in care of each other, owning our work, respecting our differences, and engaging in positive attitudes. By living out these values each day, we build supportive teams that nurture development and growth, both individually and professionally.
Our Promevo team members are committed to living out the core values below:
We are Promevo!
The name Promevo is derived from the Latin words promoveo, meaning "to move ahead" and promereo, meaning "to earn". It’s our name, but it’s also our purpose. We move clients ahead in technology, enabling their competitive advantage and we earn their trust with our technical excellence and dedication to their success. We believe that digital solutions shouldn’t be something our clients need to adapt to, instead we make digital solutions adapt to client needs.
Promevo is a Google Premier Partner for Google Workspace, Google Cloud, and Google Chrome, specializing in helping businesses harness the power of Google and the opportunities of AI. From technical support and implementation to expert consulting and custom solutions like gPanel, we empower organizations to optimize operations and accelerate growth in the AI era.
In addition to Google technology, Promevo's SaaS Platform (gPanel) provides our clients with a centralized user management interface providing administrators with visibility and control over all of their users' data and settings with its robust suite of security features. We walk alongside our clients to help them achieve their digital transformation and infrastructure goals by providing Professional Services such as migrations, custom app development, fast track deployments, and white glove services.
We are seeking a Principal Manager, Cloud Engineering to lead, scale, and inspire our elite technical delivery team. In this high-visibility, hybrid “player-coach” role, you will bridge the gap between high-level technical strategy and daily operational execution. You will champion modern cloud practices and AI-driven infrastructure, guiding our engineering vision while staying hands-on with high-impact project delivery. You will be responsible for team mentorship, strategic engineering oversight, and serving as the primary technical escalation point for our enterprise clients.
By joining the Promevo Team, you will find that our company culture is at the heart of our success. Promevo’s core values center around building trust, investing in care of each other, owning our work, respecting our differences, and engaging in positive attitudes. By living out these values each day, we build supportive teams that nurture development and growth, both individually and professionally.
Our Promevo team members are committed to living out the core values below:
- Build and Extend Trust – Show respect and listen. Do what you say you will do. Be transparent and dependable.
- Keep it Human – Invest in relationships. Show empathy. Do right by others. Take care of yourself, your family, and each other.
- Own It – Become an expert in your role. Own the outcome. Finish what you start. Answer for the results.
- Differences Make Us Stronger – Respect Differences. Seek to include different perspectives. Learn from each other.
- Attitude is Contagious – Be fully engaged. Take pride in what you do. Spread your positivity. Courage. Energy. Passion. Purpose.
Duties and Responsibilities:
Team Leadership
- Lead, mentor, and manage a high-performing team of technical professionals, including Principal Cloud Architects, Systems Architects, Software Engineers (FE/BE), and Cloud Engineers, fostering a culture of technical excellence.
- Foster a culture of continuous development by conducting semi-annual individual development discussions and establishing quarterly learning objectives centered on AI-upskilling and Gen AI literacy.
Strategic Delivery
- Serve in a 'player-coach' capacity, balancing team leadership with hands-on technical contribution. You will meet a scaled, manager-level billable delivery target, focusing on high-level architecture reviews, complex scoping, and strategic technical advisory, while ensuring your team remains optimally deployed.
- Helps support utilization targets for themselves and team members by driving high-value, high-impact technical discoveries; leverages delivery time to uncover expansion or upsell opportunities within enterprise accounts; serves as a recognized industry expert on the Google Cloud ecosystem.
Technical Governance
- Guide the team in designing and implementing modern AI infrastructure pipelines, including LLM integration patterns, data orchestration layers, and secure enterprise AI frameworks.
- Pioneers the creation of repeatable intellectual property, automated accelerators, or code repositories that reduce delivery time for the entire engineering organization; positions Promevo at the forefront of Google Cloud innovation through cutting-edge practice development.
- Oversee engineering resource allocation and capacity planning, partnering closely with the PMO to ensure the right technical talent is assigned to the right projects at the right time.
- Govern and elevate engineering standards, DevOps methodologies, code quality, and architectural review processes across full-stack application and cloud infrastructure delivery.
- AI First/Augmented SDLC - Guides teams to build intelligent, AI-driven Google Cloud infrastructure (utilizing Vertex AI, advanced MLOps pipelines, and data analytics architectures) alongside traditional cloud-native engineering.
- Act as the primary technical escalation point for complex infrastructure, application modernization, and data engineering challenges. Anticipates and mitigates technical risks before they impact the client relationship; transforms high-friction escalation scenarios into long-term strategic wins, strengthening the firm's partnership with the enterprise accounts.
- Collaborate with Solution Architects/Pre-Sales to scope complex technical engagements, validate engineering hours, and ensure accurate pre-sales technical feasibility.
- Drive the professional development, technical certification pathways (specifically scaling Google Cloud and AI specializations), and performance evaluation metrics for the engineering team.
- Identify and advocate for internal automation, reusable infrastructure-as-code (IaC) templates, and process improvements to accelerate technical delivery timelines.
- Maintain active Google Cloud certifications, achieving the Google Certified Professional Cloud Architect (PCA) designation within the first 90 days of hire.
Preferred AI/ML Architectural Competencies:
- Design and architect scalable AI infrastructure on Google Cloud Platform, leveraging /GE Agent Platform/Vertex AI and GKE for high-availability model serving.
- Demonstrate deep expertise in Large Language Model (LLM) fine-tuning, prompt engineering, and deployment strategies tailored for enterprise-grade generative AI applications.
- Architect robust data engineering pipelines for AI, incorporating BigQuery, Dataflow, and Pub/Sub to manage complex data orchestration and feature engineering.
- Implement MLOps best practices, including automated model CI/CD, monitoring, and governance frameworks using Vertex AI Pipelines and specialized GCP tooling.
Skills and Qualifications:
- Bachelor's degree in Computer Science, Engineering, or a related technical field.
- 12+ years of experience in IT infrastructure, cloud architecture, data science, or software engineering, with at least 4+ years directly managing engineering teams (Architects, Developers, or Cloud Engineers).
- Proven track record of managing and earning the respect of senior/principal-level technical talent across both infrastructure and software application development (FE/BE).
- Deep expertise in Google Cloud Platform (GCP) technologies is required, with strong literacy in modern AI/ML infrastructure components and deployment strategies.
- Strong understanding of modern architectural frameworks, including microservices, Kubernetes (GKE), serverless computing, and Infrastructure as Code (Terraform).
- Exceptional communication skills, with a proven ability to translate highly complex technical concepts into clear business objectives for clients and executive stakeholders.
- Experience balancing billable delivery utilization targets alongside team management responsibilities within a professional services context.
- Active Google Certified Professional Cloud Architect (PCA) or equivalent expert-level cloud engineering certifications are highly preferred.
- Experience leading internal upskilling initiatives, specifically around Gen AI and AI-driven automation frameworks.
- Familiarity with modern HRIS and performance tools (e.g., Lattice, Paycor) to drive data-informed talent decisions and continuous feedback cycles.
What Promevo Offers
- Competitive salary and bonus plan
- 14 Paid holidays
- Medical Insurance
- Dental Insurance, 100% company paid premiums
- Vision Insurance , 100% company paid premiums
- Fully Company Paid Short term Disability Insurance
- Fully Company Paid Long Term Disability Insurance
- Fully Company Paid Life Insurance and AD&D
- 401k plan: Promevo offers a Safe Harbor 401K plan for full time employees with immediate eligibility. Promevo matches the first 3% of earnings you contribute at 100% and matches the next 2% of earnings you contribute at 50%
- Home office setup allowance
- Cell phone allowance
- 4 weeks of PTO and a healthy work/life balance
- Development and Training opportunities to help you grow
Promevo LLC is an Equal Opportunity Employer and does not discriminate on the basis of race or ethnicity, religion, sex, national origin, age, veteran disability or genetic information or any other reason prohibited by law in employment.
Description sourced from the public Indeed listing — this role isn't indexed from the company's career page yet.
Skills
- Leadership
- Project Management
- Jira
- Confluence
- Terraform
- AWS
- Azure
- GCP
- Kubernetes
- Docker
- Python
- JavaScript
- TypeScript
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