paycor
Principal Manager, Cloud Engineering
Promevo
Cincinnati, USA
Full-time
Senior Level
Hybrid
Discovered 1 months ago
Full Job Posting
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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
About Promevo
IT Services & Consulting103 employeesFounded 2001
Private Google-focused IT services firm providing cloud consulting, implementation, support, hardware, and Workspace management software to organizations.
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