Cloud · Data · AI · Engineering organizations

Build the platforms. Stabilize the systems. Scale the organization.

I help companies modernize cloud infrastructure, build data and AI platforms, reduce engineering friction, and grow teams from scrappy execution to reliable delivery.

Work with me See recent work

30+ years in software engineering leadership across cloud infrastructure, developer platforms, data systems, AI adoption, SRE, FinOps, and regulated environments.

Vadim Gore

Technology Executive

Platform Engineering · Cloud Infrastructure · Data & AI

Leadership experience across Verily, Lucid, Rivian, GE, Silver Spring Networks, and Intel.

Cloud platforms Data engineering AI adoption Developer productivity Operating models Reliability & cost

Available for new engagements

VigorSolutions

I help companies untangle the hard parts of scaling software: cloud platforms, data systems, AI adoption, developer productivity, reliability, cost discipline, and the engineering organization around it.

About

Operator first.
Consultant second.

I'm a software engineering executive with 30+ years of experience building cloud, data, infrastructure, and platform organizations. I tend to work on the messy problems that don't fit neatly into one box: architecture, execution, reliability, cost, and team structure.

At Verily, I lead cloud engineering and developer platform work across infrastructure, developer productivity, observability, SRE, FinOps, AI-enabled engineering workflows, and regulated environments. Earlier, at Lucid, Rivian, GE, Silver Spring Networks, and Intel, I worked through similar scaling problems in automotive, energy, IoT, and enterprise software.

The pattern is familiar: systems grow, teams stretch, ownership gets blurry, and delivery starts to slow down. I help bring the structure back.

In short

Depth + leadership

Hands-on technical depth combined with executive leadership across cloud, data, AI, infrastructure, SRE, FinOps, and regulated software.

Where I fit

Complex, cross-cutting

Platform and organizational problems too complex for a narrow vendor engagement.

How I engage

Advisory to hands-on

Architecture review, fractional CTO, org stabilization, or targeted consulting.

Services

What I help with.

A deliberate set of engagements across the systems you build and the organization that builds them.

Cloud Engineering & Platform Modernization

Modernize cloud platforms across GCP, AWS, and Azure: architecture, networking, IAM, CI/CD, developer platforms, observability, and production readiness. Improve the systems developers depend on daily and turn shared infrastructure into self-service capability.

Good fit whenYour cloud platform grew organically, costs are rising, ownership is unclear, or product teams are slowed down by infrastructure friction.

Data Platforms & AI Foundations

Build scalable data platforms and the AI foundations that depend on them: pipelines, warehouses, governance, and cloud-native data services ready for analytics, ML, and operational decisions.

Good fit whenYour data platform is expensive, slow to change, hard to govern, or not ready to support AI and analytics use cases.

AI Adoption & Developer Productivity

Turn AI from scattered experimentation into useful engineering practice: tools, workflows, guardrails, cost visibility, and adoption patterns teams can actually sustain.

Good fit whenTeams are using AI tools inconsistently, budgets are hard to control, or leadership needs a practical strategy that balances velocity, security, and cost.

SRE, Observability & Production Operations

Improve reliability, incident response, observability, alerting, disaster recovery, and production operating models. The goal isn't more dashboards — it's clearer ownership, faster diagnosis, fewer avoidable incidents, and predictable operations.

Good fit whenYour production environment is growing faster than your operational maturity.

FinOps & Cloud Cost Optimization

Understand, attribute, forecast, and reduce cloud spend without slowing delivery: commitment strategy, workload optimization, cost attribution, and engineering accountability for spend.

Good fit whenCloud costs are rising faster than revenue, finance doesn't trust engineering forecasts, or teams lack clear cost ownership.

Engineering Org Design & Fractional CTO Advisory

Design engineering structures, clarify ownership, hire leaders, and define operating rhythms that move teams from reactive to predictable — and advise CEOs, CTOs, and founders on technology strategy, platform direction, and AI.

Good fit whenThe org is growing, delivery is inconsistent, the architecture is strained, or you need senior technical judgment without a full-time executive hire.

How I work

Practical help, not theater.

I work best when the pressure is real: rising cloud spend, fragile infrastructure, slow delivery, unclear ownership, AI adoption questions, or a team that has outgrown the way it currently operates.

01 / Assess

Assess

Understand the architecture, operating model, bottlenecks, cost profile, and team structure.

02 / Prioritize

Prioritize

Separate the noisy symptoms from the structural issues.

03 / Execute

Execute

Work with leaders and teams to change the things that matter: architecture, ownership, process, tooling, metrics, or org design.

04 / Stabilize

Stabilize

Leave behind clearer systems, stronger rhythms, and less dependency on heroics.

Recent work

Selected work themes.

Representative themes from recent work — and the kinds of problems I'm brought in to solve.

Featured · AI Product

Envoy

Envoy turns a person's resume and career story into an AI proxy that can answer recruiter questions, explain role fit, and keep the conversation moving without sounding like a bot.

Product thinking + AI workflow design
Identity-aware personalization
AI that removes friction without feeling robotic

It is a small product, but it reflects how I think about AI: useful context, practical automation, and respect for the human on the other side.

AI product · Career automation · Personalization · Conversational UX

Visit Envoy

AI-first developer productivity

Scaling AI adoption across engineering teams

Led the introduction of AI-assisted engineering workflows across a large software organization — including tools such as Claude, Codex, Gemini, GitHub Copilot, and AI-native IDEs. The focus was practical adoption: developer workflows, security guardrails, usage visibility, cost awareness, and measurable productivity gains.

Demonstrates: AI adoption strategy, platform integration, developer productivity, governance, executive alignment.

Cloud cost & FinOps

Reducing cloud waste while improving accountability

Built and led cloud cost optimization programs across large-scale cloud environments. Work included spend attribution, forecasting, capacity planning, commitment strategy, executive dashboards, and engineering accountability for cloud consumption.

Demonstrates: FinOps, cloud architecture, cost governance, platform operations, executive reporting.

Platform organization design

From fragmented execution to a platform operating model

Designed and led platform engineering organizations responsible for cloud infrastructure, developer experience, production engineering, observability, SRE, and customer enablement — shifting teams from project-driven delivery to durable, product-oriented platform capabilities.

Demonstrates: Org design, platform strategy, operating model, leadership development, developer productivity.

Automotive-scale platforms

Cloud, data, and AI platforms for connected systems

Led cloud, data, and AI platform initiatives supporting large-scale connected product and enterprise environments — platform architecture, data systems, operational scalability, and the engineering foundations needed to support high-growth technical organizations.

Demonstrates: Cloud/data platforms, automotive-scale systems, enterprise architecture, AI foundations.

By the numbers

Experience across scale, ambiguity, and regulated environments.

30+ yrs

Software engineering and technology leadership

300+ engineers

Engineering organizations led, grown, or reshaped across multiple companies

Multi-cloud

GCP, AWS, Azure platform strategy and operations

Regulated

FedRAMP, FISMA, HIPAA, GDPR-aware environments

Full platform

Cloud, data, AI adoption, SRE, DevEx, FinOps

Across industries

Healthtech, automotive, energy, IoT, enterprise software

When to call me

The problems I'm built for.

I'm most useful when the issue crosses architecture, execution, cost, reliability, and organization design at the same time.

Cloud spend is rising and nobody trusts the forecast.
Platform teams are overloaded and product teams are blocked.
AI tools are spreading faster than governance, security, or cost controls.
Reliability problems are becoming leadership problems.
Your engineering org has outgrown its operating model.
Everyone agrees the platform matters, but nobody agrees who owns it.

Engagement models

A few ways to work together.

Advisory sprint

A focused 2–4 week assessment with findings, recommendations, and a practical execution roadmap.

Fractional executive advisory

Ongoing support for founders, CTOs, or engineering leaders who need senior technical judgment without adding a full-time role.

Platform / cloud review

A review of architecture, cost, reliability, and operating model across cloud, data, AI, or developer platforms.

Org stabilization engagement

Hands-on help to clarify ownership, improve execution, reset operating rhythms, and build leadership capacity. For teams that need more than advice.

Technical due diligence

Independent review of architecture, scalability, cloud posture, engineering maturity, AI readiness, and operational risk.

Get in touch

Have a messy platform, cloud, AI, or engineering problem?

Send me a short note with what you're trying to solve. I'm most useful when the problem crosses architecture, execution, cost, reliability, and organization design.