Cloud, AI & Engineering Teams That Deliver.
GMS helps organizations design, modernize and operate critical technology environments. AWS, Kubernetes and DevOps through to data, AI and specialized engineering talent. Thirty-two years of enterprise delivery behind every engagement.
AWS Partner with 12+ Service Delivery designations, and an Anthropic partner. Three decades of enterprise technology delivery, now focused on AWS engineering, DevOps, cloud security, data and AI, with a technical recruiting practice built on the same engineering bench.
ANTHROPIC
Four practices, one engineering organization.
Thirty-two years of enterprise technology delivery, now concentrated on the environments and teams modern engineering leaders are accountable for.
Cloud & Platform Engineering
AWS architecture, Amazon EKS and Kubernetes, Terraform and infrastructure as code, CI/CD, DevOps and DevSecOps, migration and modernization, SRE, observability, cloud security, identity and access, FinOps.
- Reduce cloud waste
- Improve deployment reliability
- Eliminate manual infrastructure changes
- Reduce production incidents
Data & AI Engineering
Data pipelines and ETL/ELT, Airbyte and API integration, AWS data services, warehouses and analytics platforms, AI application engineering, LLM integration, RAG and enterprise search, AI infrastructure, governance and security.
- Connect fragmented systems and APIs
- Build reliable data pipelines
- Deploy AI inside existing workflows
- Prepare data for analytics and AI
IT & Engineering Talent
Contract staffing, contract-to-hire, direct hire and staff augmentation. Cloud, DevOps, platform, security, data, AI, software and Microsoft engineers, plus technical leadership. Over 10,000 placements across three decades.
- Fill roles that stay open for months
- Add capacity without a permanent hire
- Screened by engineers, not keyword matchers
- Contract, contract-to-hire or direct
Enterprise Technology Services
The practice the company was built on and still runs: IT products and licensing, Microsoft licensing and services, infrastructure services, field services, product development and enterprise IT support.
- IT products & licensing
- Microsoft services
- Infrastructure & field services
- Product development
Where most engagements start.
Specific problems engineering leaders recognize. Every one begins with a conversation and a look at the actual environment, not a proposal.
AWS & EKS Cost Optimization Assessment
Analyze AWS infrastructure, Kubernetes workloads, compute usage, scaling configuration and architecture to identify unnecessary spend and performance opportunities.
Discuss Your AWS Environment →EKS Security & Reliability Review
Kubernetes architecture, IAM and IRSA, workload isolation, networking, secrets handling, observability, deployment controls, resilience and operational risk.
Request an EKS Review →Cloud Security & Compliance Readiness
Gaps across IAM, logging, encryption, network security, configuration and cloud governance, mapped to the frameworks and customer security questionnaires you face.
Discuss Your Security Requirements →DevOps & CI/CD Modernization
Deployment pipelines, infrastructure as code, environment consistency, release controls, security scanning and the engineering velocity that follows.
Talk to a DevOps Engineer →Data Integration & Modernization
Secure pipelines connecting APIs, SaaS platforms, databases and cloud data platforms using Airbyte and AWS-native services.
Discuss Your Data Environment →AI Engineering & Automation
Practical AI integrations, enterprise assistants and workflow automation built around existing business processes and data, with human review on every change.
Discuss an AI Use Case →Engineering we have actually shipped.
A sample from the delivery log. Client names are withheld where the work is covered by confidentiality.
Migrating from EC2 to EKS
Problem. Workloads running directly on EC2, with scaling and operational overhead growing faster than the team could absorb.
What we did. Re-platformed onto Amazon EKS with container orchestration, scaling policies and deployment automation.
Outcome. Modernized infrastructure, improved performance and reduced operational cost.
Read the write-up → Cloud securitySecuring Amazon EKS environments
Problem. Containerized workloads adopted faster than the controls around them, leaving the cluster boundary under-defined.
What we did. End-to-end EKS security review and hardening across access, workload isolation and network policy.
Outcome. Strengthened security controls and a documented posture the team can operate against.
Read the write-up → FinOpsOptimizing EC2 cost with auto scaling groups
Problem. Compute provisioned for peak demand and paid for around the clock, with spend rising ahead of usage.
What we did. Re-architected capacity around auto scaling groups matched to real demand patterns.
Outcome. Reduced cloud waste while preserving headroom for demand spikes.
Read the write-up → Data engineeringOrchestrating AWS Glue ETL with Apache Airflow
Problem. ETL jobs running without dependency-aware scheduling, so failures surfaced late and backfills were manual.
What we did. Orchestrated Glue jobs through Airflow with proper dependencies, retries and visibility.
Outcome. Reduced manual processes and improved pipeline observability.
Read the write-up →Build the solution, or build the team.
Some clients need an initiative delivered. Others need engineers inside their own team. Most firms do one. We have done both for three decades.
Engineering Delivery
GMS designs and implements cloud, DevOps, data, security and AI solutions, and owns the outcome from scoping through handover.
Discuss Your Project →Engineering Talent
GMS provides specialized technical professionals who integrate into your existing team and work under your direction.
Find Engineering Talent →We engineer AWS environments. We don't resell them.
Hands-on delivery across compute, containers, data, security and automation, built by engineers who operate what they design.
Compute & Containers
Amazon EKS, ECS, Lambda and serverless architecture, with autoscaling and workload isolation designed in.
Foundation & Governance
Landing zones, AWS Organizations, Control Tower, multi-account architecture, CloudFormation and Terraform.
Networking & Edge
VPC design, segmentation, API Gateway and AWS WAF, built for least exposure rather than convenience.
Data Platform
Amazon Redshift, AWS Glue, RDS and QuickSight, with pipelines that fail loudly instead of silently.
Identity & Security
IAM least privilege, IRSA and Pod Identity, encryption, logging and continuous posture assessment.
Operations & Cost
Observability, incident response, migration and modernization, plus cost optimization implemented rather than recommended.
Built for regulated environments.
Where an outage is a compliance event and an audit finding is a business problem, not a ticket. Deep delivery history in healthcare and life sciences, under HIPAA, SOC 2 and FDA Part 11.
Healthcare
Payer and provider platforms, pharmacy benefits and member-facing systems operated under HIPAA at 99.95% uptime.
Life Sciences & Biotech
Validated environments, evidenced migrations and controlled change under FDA Part 11 and SOC 2.
Financial Services & Fintech
Cloud security, IAM and audit readiness where the controls have to hold up.
SaaS & Enterprise Software
Platform engineering, EKS and cost control for teams shipping continuously.
Telecommunications
Large-scale infrastructure, observability and reliability engineering.
Professional Services
Modernization, compliance automation and the engineers to sustain it.
We put working AI inside your operation.
Not strategy decks. Agents, integrations and automation that run in production, built by engineers who also own the infrastructure underneath them.
AI Agents & Agentic Workflows
Agents scoped to one real workflow, with tool integrations, approval gates and a runbook your engineers own.
LLM Integration & RAG
Enterprise search and retrieval over your own systems, with permissions preserved and citations intact.
AI-Assisted Engineering
As an Anthropic partner, our engineers build with Claude and Claude Code to accelerate remediation, migrations and infrastructure automation.
AI Governance & Security
Visibility into which AI tools are in use, policy at the prompt layer, and controls that survive an audit.
Workflow Automation
Repetitive multi-hour processes reduced to minutes of human review, with the human kept in the loop.
AI Infrastructure
The platform underneath: gateways, logging, evaluation, cost attribution and per-team controls.
Four ways to work with us
The commercial model follows the problem, not the other way around.
Project Delivery
GMS owns a defined engineering outcome, scoped and delivered against a fixed set of deliverables.
Staff Augmentation
Specialized engineers join your team and work under your direction.
Dedicated Team
We assemble and run an engineering team built around your requirements.
Managed Services
We operate and continuously improve the environment so you don't have to build the team.
Thirty-two years of enterprise technology.
GMS started by solving infrastructure and staffing problems for enterprises, and that work built the relationships and the delivery discipline the company still runs on. Over three decades that has meant more than 10,000 technical placements, 265 delivered projects and a hardware and licensing practice that is still active today.
What changed is where that expertise points. The same organization now designs AWS environments, operates Kubernetes platforms, automates infrastructure with Terraform, builds data pipelines and deploys AI into production systems, as an AWS Partner with 12+ Service Delivery designations and an Anthropic partner.
Not a pivot. An extension of what the company has always done.
CompliTru
A GMS-built platform that helps organizations identify AWS security, compliance and cloud cost risks, assess potential impact, support controlled remediation and generate evidence around remediation efforts. We don't only advise on technology. We build it.
Start with a conversation, not a proposal.
Tell us what the environment looks like and what is not working. An engineer will be on the call, and you will get a straight answer about whether we are the right fit.