Cloud · Data · AI · Engineering organizations

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

I help engineering leaders modernize cloud and data platforms, adopt AI in practical ways, reduce delivery friction, and scale teams without adding unnecessary process or organizational drag.

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

Vadim Gore — Technology Executive
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

VigorSolutions helps leaders fix the hard parts of scaling software: cloud platforms, data systems, AI adoption, developer productivity, reliability, cost discipline, and the organization around it.

About

Operator first.
Consultant second.

I'm a software engineering executive with 30+ years of experience building and leading cloud, data, infrastructure, and platform organizations.

I tend to work on the problems that do not fit neatly into one box: cloud cost, platform ownership, delivery friction, reliability, AI adoption, and engineering structure. These are rarely just technical problems. They usually involve people, priorities, incentives, and a few systems that seemed like a good idea at the time.

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

The pattern is familiar: systems grow, teams stretch, ownership gets fuzzy, and delivery slows 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.

01

Cloud Engineering & Platform Modernization

Modernize cloud platforms across GCP, AWS, and Azure: architecture, networking, IAM, CI/CD, developer platforms, observability, and production readiness.

Useful whenThe platform grew organically, costs are rising, ownership is unclear, or product teams are slowed down by infrastructure friction.

02

Data Platforms & AI Foundations

Build the data foundations needed for analytics, AI, ML, and operational decision-making.

Useful whenData systems are expensive, slow to change, hard to govern, or not ready for the AI roadmap everyone is suddenly very excited about.

03

AI Adoption & Developer Productivity

Turn AI from scattered experimentation into practical engineering workflows: tools, guardrails, usage visibility, cost controls, and adoption patterns teams can sustain.

Useful whenTeams are trying AI, but leadership cannot yet tell what is working, what is risky, and what is just expensive autocomplete.

04

SRE, Observability & Production Operations

Improve reliability, incident response, observability, alerting, disaster recovery, and production ownership.

The goal is not more dashboards. It is faster diagnosis, fewer avoidable incidents, and calmer operations.

05

FinOps & Cloud Cost Optimization

Bring cloud spend under control through forecasting, attribution, capacity planning, commitment strategy, workload optimization, and executive reporting.

Useful whenCloud cost is growing faster than the business, and finance and engineering are starting to have very different versions of reality.

06

Engineering Org Design & Fractional CTO Advisory

Clarify ownership, leadership structure, operating rhythms, and technical strategy.

Useful whenThe company is growing, delivery is inconsistent, leadership needs senior technical judgment, or the org chart no longer matches how work actually gets done.

When to call me

The problems I'm built for.

I'm most useful when technical problems have started turning into leadership problems.

  • Cloud spend is rising and nobody trusts the forecast.
  • Platform teams are overloaded and product teams are blocked.
  • AI adoption is moving faster than governance, security, or cost visibility.
  • Reliability issues are creating customer, leadership, or board-level concern.
  • The engineering org has outgrown its current operating model.
  • Everyone agrees the platform matters, but nobody agrees who owns it.
  • The team is working hard, but the system around the team is working against them.
How I work

Practical help, not theater.

I work best when the pressure is real: delivery is slowing, costs are rising, teams are stretched, ownership is unclear, or AI adoption has moved from interesting experiment to management headache.

01 / Assess

Assess

Understand the business goal, technical reality, team structure, cost profile, and delivery bottlenecks.

02 / Prioritize

Prioritize

Separate the noisy symptoms from the structural issues. Pick the few moves that matter.

03 / Execute

Execute

Work with leaders and teams to change what needs changing: ownership, architecture, process, tooling, metrics, or operating rhythm.

04 / Stabilize

Stabilize

Leave behind clearer decisions, stronger leaders, better 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

Envoy — Your career, represented.
AI-first developer productivity

Scaling AI adoption across engineering teams

Led practical AI adoption across a large engineering organization, including coding assistants, AI-native IDEs, internal context, usage visibility, security guardrails, and cost awareness.

Relevant to: moving from AI pilots to repeatable engineering practice.
Cloud cost & FinOps

Reducing cloud waste while improving accountability

Built cloud cost programs focused on forecasting, attribution, capacity planning, executive visibility, and engineering ownership of spend.

Relevant to: turning cloud cost from surprise invoice into managed operating discipline.
Platform organization design

From fragmented execution to a platform operating model

Designed and led platform organizations spanning cloud infrastructure, developer experience, SRE, observability, and customer enablement.

Relevant to: moving from ad hoc project delivery to durable platform capability.
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.

Relevant to: cloud and data platform architecture, enterprise-scale systems, 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
Engagement models

A few ways to work together.

01

Advisory sprint

A focused 2–4 week assessment with clear findings, practical recommendations, and a roadmap people can actually use.

02

Fractional executive advisory

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

03

Platform / cloud review

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

04

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.

05

Technical due diligence

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

Get in touch

Have a cloud, AI, platform, or engineering organization problem that is starting to slow the business down?

Send me a short note about what you are trying to solve. I help leaders cut through the noise, clarify the real tradeoffs, and turn messy technical or organizational challenges into a practical path forward.