Platform Engineering for the Mid-Market
The Kubernetes platforms and production AI infrastructure your applications actually run on. Vendor-neutral. Built around your business, not a playbook.
Why THNKBIG
Platform Engineering Depth
The infrastructure layer that app-focused AI-services firms skip. We build and operate the Kubernetes platforms and production systems your applications actually run on — not just the app layer on top of someone else's cluster.
Vendor-Neutral
AWS, Azure, GCP, on-prem, Claude, GPT, or open models — we build around your problem, not a product we're paid to sell. Unlike the new wave of Anthropic- and OpenAI-backed mid-market services firms, no vendor's revenue target steers our architecture.
Tailored, Not Playbook
Every engagement starts with your business constraints, not a repackaged methodology. We architect around how your team actually operates.
Mid-Market Speed
Forward-deployed engineers embedded with your team from day one. Weeks to production, not multi-year transformation programs.
Production Experience, Not a Pitch Deck
Most AI-services firms are a year or two old, staffed by application engineers, and backed by the very cloud or model vendor whose product they're paid to sell. THNKBIG's team has run production Kubernetes since 2015 — years before "cloud native" was a category most enterprises had heard of.
Our founder has worked in infrastructure, Linux systems architecture, and configuration management since 2012, and with containers since the Docker/dotCloud era of 2013 — a full product cycle before Kubernetes existed. At Mirantis, he led U.S. support for telecom carrier customers, operating Kubernetes in carrier-grade production environments. That same team went on to build a global Kubernetes platform powering streaming video and game services for Microsoft and Bethesda Game Studios.
This is founder and team experience, not a claim about company age. THNKBIG relaunched in its current form in 2021 and signed its first client in 2022. What that pedigree means for you: engineers who have already made — and fixed — the expensive mistakes, instead of a team learning production Kubernetes on your infrastructure.
What we build and operate
Kubernetes & DevOps Consulting
Enterprise Kubernetes stabilization, optimization, and DevOps practice built for production.
Learn more → 02AI Infrastructure & MLOps
On-prem and cloud GPU platforms — NVIDIA GPU Operator (MIG, DCGM, CDI), self-hosted LLM serving, and RAG/embeddings on pgvector. Sovereign inference inside your perimeter at a fraction of per-seat LLM-subscription cost.
Learn more → 03Observability
Full-stack monitoring, distributed tracing, and alerting across your platform.
Learn more → 04Service Mesh
Istio and Linkerd architecture — traffic management, mTLS, and zero-trust networking.
Learn more → 05Cloud Migration & Optimization
Zero-downtime migrations to AWS, Azure, or GCP, modernized without added risk.
Learn more → 06Cost Optimization / FinOps
Resource right-sizing, spend governance, and FinOps practices for cloud and GPU workloads.
Learn more → 07Cloud-Native Architecture
Microservices, containers, and serverless architectures designed for production scale.
Learn more → 08CI/CD & GitOps
Pipeline design, GitOps workflows, and delivery automation at enterprise scale.
Learn more → 09Cybersecurity ATO & Zero Trust
Zero-trust architecture, security hardening, and support through ATO and compliance audits.
Learn more → 10IT Infrastructure Modernization
Transform legacy infrastructure into scalable, cloud-native platforms.
Learn more →Representative engagements
- SRE platform engineering and enterprise Kubernetes across EKS, AKS, and Rancher RKE
- Kafka-on-Kubernetes deployment plus infrastructure assessment for a mid-market records-management company
- Enterprise-scale platform engineering for a large cloud contact-center provider
- On-premises AI infrastructure on bare-metal Kubernetes — NVIDIA GPU Operator (MIG/DCGM/CDI) and self-hosted LLM serving, delivered via GitOps
- Observability rollout that reduced mean-time-to-resolution (MTTR) by 75%
- Software supply-chain hardening evaluated against 16 OpenSSF standards (SLSA, SBOM, Sigstore/cosign)
- Kubernetes Zero-Trust hardening and ATO certification support
- CI/CD GitOps implementation with Prometheus monitoring and a Harbor container registry
- Istio service mesh in production — canary deployments and mutual TLS
Where we've delivered
Client names available under NDA on request.
Credentials
- City of Austin Certified Vendor
- CNCF Silver Member
- Security+
- SCIF Accreditation
- DUNS #108901579
Platforms & tooling
Ready to make AI operational?
Whether you're planning GPU infrastructure, stabilizing Kubernetes, or moving AI workloads into production — we'll assess where you are and what it takes to get there.
US-based team · All US citizens · Continental United States only